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The Cisco Security AI team delivers AI products and platform for all Cisco secure products and portfolios so businesses around the world defend against threats and safeguard the most vital aspects of your business with security resilience. We are passionate about making businesses secure and simplify security with zero compromise using AI and Machine Learning. We are looking for a highly skilled Senior Software Engineer to assume a leadership role in developing and maintaining APIs for our AI platform. As a Senior Software Engineer, you will collaborate closely with disparate teams, providing technical expertise, and leading initiatives to enhance our AI platform's capabilities. Your deep understanding of Kubernetes architecture, cloud infrastructure, and your passion for AI and machine learning will be instrumental in guiding our team to success. Technical Leadership: Provide technical leadership by guiding and mentoring a team of Software Engineers, driving technical excellence in API development and cloud deployment. API Development: Design, develop, and maintain APIs that expose AI capabilities to various teams, ensuring scalability, reliability, and ease of use. AI Integration: Collaborate with data scientists and AI engineers to seamlessly integrate AI models and algorithms into the platform, making them accessible through the APIs. Kubernetes Expertise: Leverage your experience with Kubernetes to architect and optimize deployment and orchestration of AI services in containerized environments. Cloud Infrastructure Deployment: Lead the deployment and management of AI services on cloud platforms such as AWS, Google Cloud, and Azure for scalability, security, and cost optimization. Performance Optimization: Identify and resolve performance bottlenecks in the AI platform, optimizing response times and resource utilization. Monitoring and Logging: Implement robust monitoring and logging solutions to track the performance and health of deployed AI services, enabling issue resolution. Security Compliance: Ensure that AI services and APIs meet security and compliance standards, collaborating closely with security teams to implement necessary measures. Documentation: Build clear and comprehensive documentation for APIs, deployment processes enabling teams to use the platform effectively. • 5+ years' experience as a Senior Software Engineer with a strong background in building SaaS services at scale with API first design and demonstrated technical leadership skills., • 5+ year's experience writing code in Python, Java, Go and/or C/C++., • BA / BS degree with 4+ years of experience (or) MS degree with 2+ years of experience as a software development engineer., • Familiarity with AI and machine learning concepts and the ability to collaborate effectively with data scientists and AI engineers., • Experience with Docker platform delivery tool or similar., • Experience developing distributed systems and implementing them using Kafka, Redis or similar., • Experience developing cloud infrastructure services such as AWS, Google Cloud and/or Azure., • Experience using Kubernetes architecture.

Responsibilities ECS is seeking an experienced Specification Writer to join our Southwest Facilities team in Austin, TX. In this role, you'll guide design teams on product selection, prepare and edit construction specifications, ensure compliance with codes and standards, and coordinate with architects, engineers, and consultants throughout all project phases. This position is ideal for a detail-oriented professional with a solid background in architecture or construction, strong technical expertise in specifications writing, and a passion for staying current on building technologies and industry trends. Responsibilities • Primarily involved with tasks supporting the management of specification projects, including resolution of technical and administrative issues., • Provide guidance to architectural design firms on product selection and other design considerations., • Review drawings and other project information to write and edit specifications for projects and coordinate compliance with project requirements, institutional guidelines, firm standards, technical conditions, acceptable standards, and existing laws, rules, regulations, and codes., • Plan, schedule, organize, and prepare construction specifications for the various phases/milestone deliverables of projects., • Prepare and review the procurement and contracting requirements, including the Division 01 General Requirement sections., • Coordinate and review consultant technical specifications for conformance with firm standards and the remainder of the project manual. Ensure consultants receive and follow the most current specification formatting conventions., • Perform product research; assist project designers with material and product selections., • Prepare, assist, or coordinate with internal Project Architects and non-architectural disciplines such as structural engineering and landscape architecture in specifications and project manual preparation., • Maintain awareness of evolving building technology, stay current on product developments, new materials, code changes, and industry trends to bring expertise to the project teams concerning product selections., • Assist construction administration staff with the review of product submittals and evaluate substitution requests and make recommendations regarding compliance with specifications., • Basic ability to work on multiple projects simultaneously, produce results within a deadline, and work both independently and in a team environment., • Host or attend project discussions with clients and follow up on reports as necessary. Qualifications • High school diploma or GED required. Bachelor's in Architecture, Construction Management, Engineering Technology, Building Science or related field is preferred., • 6 years of related architectural or commercial interiors experience, • Minimum of 3 years of increased responsibility in writing, editing, and developing AIA MasterFormat - 3 part specifications., • Membership in Construction Specifications Institute (CSI). CDT Certification is a plus. CCS, LEED AP, or a licensed Architect or Engineer is a plus., • Experience in assisting teams in researching product materials, fabricators, and manufacturers for architectural projects, • Strong knowledge of architectural design, engineering coordination, products, construction methodology, design trends, building systems, and manufacturer-supplier appropriateness, • Possess a strong design aptitude. Proficient in reading construction drawings, programs, criteria documents, details, and specifications, • Proficiency in Microsoft Office (w/ advanced Word training), Bluebeam Revu & Studio, and Adobe Acrobat. AutoCAD & Revit proficiency a plus. Why Join ECS? • Nationwide Facilities Consulting practice made up of more than 180 employees with deep technical expertise and opportunities for collaboration across the country, • Opportunity to lead high-profile projects with technical complexity and visibility., • Be part of a growing and innovative team focused on technical excellence and client service., • Supportive work environment that values expertise, collaboration, and continuous learning., • Competitive salary, performance bonuses, and comprehensive benefits., • ECS is an employee-owned company with an Employee Stock Ownership program (ESOP)!, • 401(k) with up to 4% match, • Tuition Assistance Program About Us ECS Group of Companies (ECS) was founded in 1988 with the goal to raise the standards of professional engineering consulting. Today, we are a leader in geotechnical, construction materials, environmental and facilities consulting services. We are employee-owned with more than 3,000 employees in 100+ offices and testing facilities coast to coast. ECS is currently ranked #66 in Engineering News-Record's Top 500 Design Firms (April 2025), #148 in Engineering News-Record's Top 200 Environmental Firms (October 2025) and #50 in Zweig Group's Hot Firm List (May 2025). For additional information about ECS, visit: ___ ECS is an Equal Opportunity Employer. To learn more, click___.

This Jobot Job is hosted by: Holly Leahy Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $200,000 per year A bit about us: We are seeking a dedicated and detail-oriented Quality Technician to join our team. As a Quality Technician, you will play a critical role in ensuring the highest standards of quality in the manufacturing and assembly of cutting-edge electronics and components. This position will require you to collaborate closely with various teams to drive improvements and ensure products meet strict specifications and functional requirements. Why join us? premiere medical, dental, vision, and life insurance plans 401k Inclusive, flexible work environment. We offer healthy snacks and daily catered meals, in addition to family-friendly company events featuring our CEO’s famous BBQ! Job Details About the Role Join a world-class team building the next generation of high-performance compute hardware for artificial intelligence and machine learning applications. We’re developing industry-leading AI accelerators that push the limits of scale, speed, and efficiency—empowering researchers and enterprises to train and deploy the largest AI models with unprecedented ease. As a Senior Design Verification Engineer, you’ll own the end-to-end verification of a critical subsystem in our next-generation AI processor. You’ll collaborate with experts across architecture, RTL design, physical design, firmware, and validation to ensure flawless execution from concept to post-silicon bring-up. This is a high-impact role where your technical insight, leadership, and creativity will directly shape the success of our products. Key Responsibilities Own and drive the full verification lifecycle for a major IP block—from initial strategy through post-silicon validation. Define and implement advanced verification methodologies, test plans, and coverage metrics that ensure top-tier quality and performance. Develop and maintain UVM-based, constrained-random and directed testbenches. Collaborate closely with architecture and design teams to review specifications and ensure functional correctness and testability. Debug complex issues spanning simulation, emulation, and silicon. Enhance verification infrastructure and flows for improved scalability, coverage, and turnaround time. Mentor and guide junior engineers, promoting best practices and technical excellence. Provide clear communication and technical leadership on progress, risks, and schedules across teams. Qualifications 10+ years of design verification experience in complex ASIC/SoC projects. Deep proficiency in SystemVerilog and UVM. Strong understanding of verification planning, coverage closure, and constrained-random methodologies. Experience with industry-standard EDA tools, simulators, and debugging environments. Skilled in scripting languages (Python, Perl, or similar) for automation and productivity. Demonstrated success in cross-functional collaboration and problem-solving. Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field. Preferred Experience Verification of memory controllers, high-performance interconnects, or compute subsystems. Exposure to emulation, FPGA prototyping, or post-silicon bring-up. Contributions to developing scalable, reusable verification environments and methodologies. Proven ability to influence verification strategy and mentor others in advanced techniques. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. 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Project Engineer - Industrial & Commercial Construction - Rock Island, IL This Jobot Job is hosted by: Kelly Anne Wight Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $60,000 - $75,000 per year A bit about us: We are a well-established construction company with deep roots in the Quad Cities area, known for delivering high-quality projects across commercial, industrial, and public sectors. Our team takes pride in combining technical expertise with a commitment to integrity, safety, and community impact. Every project we take on reflects our dedication to building lasting relationships and structures that stand the test of time. Why join us? As a Project Engineer, you’ll be part of a collaborative, growth-focused team that values hands-on learning and professional development. We believe in empowering our employees with the tools, mentorship, and opportunities they need to succeed. This role is a chance to build your career with a company that cares about your future while contributing to projects that make a tangible difference in our region. Job Details Responsibilities: • Support Project Managers and Superintendents in planning, coordinating, and executing construction projects., • Assist with project documentation, cost tracking, scheduling, and subcontractor coordination., • Review drawings, specifications, and contracts to ensure accuracy and compliance., • Monitor project progress, identify potential challenges, and help implement solutions., • Bachelor’s degree in Construction Management, Civil Engineering, or a related field (or equivalent experience)., • Strong organizational, communication, and problem-solving skills., • Proficiency in construction software and Microsoft Office Suite., • Eagerness to learn and grow in a fast-paced, team-oriented environment. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Business Area: Engineering Seniority Level: Director Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises. Cloudera is seeking a Principal Engineer to serve as the primary architect and visionary for our Observability Telemetry client interactions framework as we build a multi-tenant, high-throughput telemetry fabric to support the world's largest data estates. In this role, you will lead the evolution of Cloudera's Observability product by designing and building a "self-service" Open Telemetry-based ecosystem that allows internal clients to integrate telemetry data seamlessly for multiple downstream consumers. You will architect the self-service interfaces that allow thousands of distributed components to emit high-cardinality logs, metrics, and traces that are automatically correlated, context-aware, and ready for downstream analysis in ClickHouse and other massive-scale engines. You will be Cloudera's voice in the CNCF/OTel community, influencing the direction of open-source observability to meet the needs of hybrid-cloud data platforms. As a technical leader, you will be responsible for defining the semantic conventions to enable log events, metrics, spans, and traces from diverse, multi-language clients to be correlated into a unified, actionable view for customers, Support and Cloudera product engineering. This data is the foundation for troubleshooting, forecasting, workload analysis, financial governance, and other administrative functions. You will also work closely with open source products for integration and can influence OTel integration directions in the open source ecosystem for these components This position is a high-visibility role requiring a blend of deep systems architecture, hands-on implementation, and cross-organizational influence to ensure our telemetry infrastructure scales with the world's most complex data workloads. This role is not eligible for immigration sponsorship. As an Observability Telemetry Principal Engineer you will: * Architect and drive the implementation of automated "on-ramps" for observability clients that handles the complexity of multi-cloud, hybrid environments without sacrificing performance, ensuring teams can integrate their services with minimal friction. * Establish and enforce the semantic conventions needed to ensure telemetry data carries the appropriate context for easy correlation across the entire Cloudera stack. * Develop and support high-performance interfaces and SDKs for clients across various languages (Java, Go, Python, etc.) to contribute high-fidelity signals. * Build the logic to stitch together disparate signals into a unified trace, enabling deep-dive workload analysis and financial governance across massive distributed systems. * Work alongside engineering teams to turn architectural blueprints into production reality, conducting deep-dive code reviews and resolving complex systemic bottlenecks. * Serve as the "go-to" expert for observability, resolving technical disagreements and making high-stakes decisions on the future of our telemetry platform. We are excited if you have: (Required Experience) * 10+ years of experience (or equivalent advanced degree + experience) designing and maintaining large-scale distributed systems and observability platforms. * A proven track record of designing and shipping complex, critical features that serve as foundational infrastructure for other engineering teams. * Deep, hands-on experience with the OpenTelemetry Collector architecture, custom processors, and the challenges of high-cardinality data. * Experience with high-volume OLAP engines (e.g., ClickHouse, StarRocks) and an understanding of how to structure telemetry data for sub-second queries at large scale. * Excellent communication and collaboration skills and the ability to build relationships across the company to drive adoption of new standards and remove technical roadblocks. * The ability to map business requirements to technical roadmaps, ensuring our observability tools support Cloudera's long-term strategic goals. * Experience coaching senior and staff-level engineers, acting as a "force multiplier" for a technical organization. * Bsc/Msc in related field or equivalent experience You might have: * Significant contributions to major observability or data projects (e.g., CNCF or Apache projects). Bonus points if you're already a CNCF OTel maintainer. * Deep experience with Kubernetes-native observability and managing telemetry at scale in hybrid-cloud environments. * Experience representing technical initiatives at industry conferences or internal company-wide summits. * Experience using machine learning or advanced analytics to derive "AIOps" insights from raw telemetry data. Why this role matters: At Cloudera, our customers manage some of the largest and most complex data estates in the world. Without robust, correlated observability, managing these environments is an impossible task. This role is the linchpin of our visibility strategy. By building a self-service, standardized telemetry framework, you are not just helping one team; you are empowering every developer at Cloudera and every one of our customers to understand their data life cycle. Your work ensures that when a performance bottleneck occurs or a system fails, the path to resolution is visible, traceable, and immediate. You are building the "nervous system" of the Cloudera Data Platform. What you can expect from us: * Generous PTO Policy * Support work life balance with ___ * Flexible WFH Policy * Mental & Physical Wellness programs * Phone and Internet Reimbursement program * Access to Continued Career Development * Comprehensive Benefits and Competitive Packages * * Employee Resource Groups EEO/VEVRAA #LI-CP1 #LI-HYBRID

Procore is looking for a Forward Deployed AI Engineer to join our growing Datagrid divisions Customer Success Team. As Datagrid scales rapidly, our enterprise clients are eager to have hands on experts working directly with them to bring AI Agents to life in their organizations. You'll play a key role in implementing, optimizing, and deploying intelligent systems that solve real-world problems at scale. This is a dynamic, customer-facing role where you'll build end to end workflows, take them to production, and ensure successful adoption. You'll spend meaningful time onsite with customers-often up to 50% or more-embedding with their teams to understand their operations and deliver tangible results. We believe being side-by-side with customers is the best way to build trust, accelerate impact, and shape solutions that truly matter. You'll be part of an exceptional Customer Success Team made up of collaborative, mission driven colleagues who love what they do. If you're passionate about AI Agents, thrive on travel and hands on problem solving, and get energized by seeing your work make an immediate difference, we'd love to connect with you. • Work in small teams or solo to own delivery of high stakes projects with clients., • Building LLM-powered Agentic workflows on a large scale, • Interacting with customers to understand their needs and set their AI strategy, • Help customers save and make millions by implementing real-world solutions, • Ability and interest in traveling for field work/onsite deployments, often up to 50% or more, as needed to client sites., • Past experience building solutions with LLMs and a deep understanding of overall Gen AI landscape., • Strong foundation in Machine Learning basics (Evaluation, Training, Problem Decomposition)., • Strong engineering background. Preferred fields include but are not limited to Computer Science, Mathematics, Software Engineering, Physics, and Machine Learning., • Strong coder with demonstrated proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar., • Willingness to travel. You operate well in diverse customer environments and enjoy integrating with customer teams., • You're a strong and empathetic communicator. You can translate complex technology into value for real-world users and stakeholders. Base Pay Range: This role may also be eligible for Equity Compensation and/or Bonus Incentive Compensation. Procore is committed to offering competitive, fair, and commensurate compensation. Actual compensation will be based on a candidate's job-related skills, experience, education or training, and location. Procore will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable federal, state, and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. A criminal history may have a direct, adverse, and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. appropriately managing, accessing, and handling confidential information including proprietary and trade secret information, as well as accessing Procore's information technology systems and platforms; 2. interacting with and occasionally having unsupervised contact with internal/external customers, stakeholders, and/or colleagues; and 3. exercising sound judgment.

Responsibilities ECS is seeking a Building Enclosure Staff Associate to join our SouthwestBuilding Science & Infrastructure team in Austin, TX. In this role, you will support building enclosure consulting projects while developing foundational skills in field investigations, testing, technical analysis, and report preparation. You will work closely with experienced consultants and multidisciplinary project teams to evaluate building envelope performance and support construction quality across a variety of facility types. This position provides hands-on field experience and technical training while building a strong foundation in building enclosure consulting within a collaborative team environment. Responsibilities Technical & Field Work • Support building science & infrastructure related testing, inspections, and consulting services., • Conduct site observations and inspections of roofing and building enclosure systems with guidance from senior staff., • Learn to interpret drawings, figures, and site plans; assist with drafting or CAD work when needed., • Assist with specialized building enclosure testing and development of testing protocols., • Document site observations and prepare field reports describing findings and conditions., • Assist with analysis of field observations and testing results to support project conclusions., • Support project setup and implementation under supervision., • Assist with management of building science & infrastructure projects while developing project management skills., • Assist with preparation of proposals, invoices, and documentation for project budgets., • Communicate project updates and site observations with supervisors and project teams., • Interact with contractors and site personnel during project site visits., • Attend project meetings with senior staff and assist with addressing technical or administrative issues., • Collaborate with staff members on a variety of projects., • Assist with preparation of building science & infrastructure reports under the direction of senior staff., • Develop technical writing skills and prepare documentation summarizing field observations and testing results. Additional Responsibilities Qualifications Education & Experience • Bachelor's or Master's degree in Civil Engineering, Structural Engineering, Architectural Engineering, Architecture (NCARB), or a related field., • 0 years of related experience required., • Certifications may be required depending on the type of testing performed. The following certifications would go a long way:, • Engineer-in-Training (EIT), • Basic knowledge of building science & infrastructure principles and applications., • Basic knowledge of building materials, construction practices, and building systems., • Strong written and verbal communication skills., • Dependable, self-motivated, responsible, and detail-oriented., • The following US Military ranks will qualify for this position IF they also meet the education, certification, and licenses requirements from the above section titled "Required Qualifications":, • Nationwide Building Science & Infrastructure Consulting practice made up of more than 180 employees with deep technical expertise and opportunities for collaboration across the country, • Opportunity to lead high-profile projects with technical complexity and visibility, • Be part of a growing and innovative team focused on technical excellence and client service, • Supportive work environment that values expertise, collaboration, and continuous learning, • Competitive salary, performance bonuses, and comprehensive benefits, • ECS is an employee-owned company with an Employee Stock Ownership program (ESOP)!, • 401(k) with up to 4% match, • Tuition Assistance Program, • And more! ECS Core Values:Collaborate, Focus & Lead About Us ECS Group of Companies (ECS) was founded in 1988 with the goal to raise the standards of professional engineering consulting. Today, we are a leader in geotechnical, construction materials, environmental and facilities consulting services. We are employee-owned with more than 3,000 employees in 100+ offices and testing facilities coast to coast. ECS is currently ranked #66 in Engineering News-Record's Top 500 Design Firms (April 2025), #148 in Engineering News-Record's Top 200 Environmental Firms (October 2025) and #50 in Zweig Group's Hot Firm List (May 2025). For additional information about ECS, visit: ___ ECS is an Equal Opportunity Employer. To learn more, click___.

ICON is seeking a Senior Software/Data Engineer I to join our Data Intelligence & Systems Architecture (DISA) team. This engineer will play a foundational role in shaping, developing, and scaling ICON's enterprise data platform within Palantir Foundry, owning the ingestion, modeling, and activation of data that powers reporting, decision-making, and intelligent automation across the company. You will not just build pipelines. Instead, you will be architecting the Digital Twin of an industrial robotics and construction company. You will work closely with teams across Supply Chain & Manufacturing, Logistics, Engineering Support Services, Software, Field Operations and Technology R&D to centralize high-value data sources, model them into scalable assets, and enable business-critical use cases. Use cases will range from real-time reporting and analytics to AI/ML-driven operational workflows and decision-making. This is a highly cross-functional and technical role, ideal for someone with strong data engineering skills, deep business curiosity, and a bias toward action. This role is based at ICON's headquarters in Austin, TX and reports to the Senior Director of Operations. Responsibilities • Data Pipeline Development: Design, build, and maintain scalable ETL/ELT pipelines in Palantir Foundry (and supplemental tools) to integrate data from enterprise systems (NetSuite, Workday, etc.) and external sources. Ensure pipelines are efficient and fault-tolerant, handling large data volumes from manufacturing and field operations (e.g. IoT sensor feeds)., • Data Modeling & Ontology: Develop and refine data models that organize enterprise data into meaningful structures. Leverage Foundry's ontology features to define business objects (e.g. Customers, Work Orders, Inventory Items) and ensure data is linked in a way that reflects real-world relationships. Continuously improve these models for new business requirements - for instance, adding new attributes or new object types as we launch new programs., • Data Quality & Governance: Implement data validation and quality checks in pipelines to ensure data accuracy and consistency. Monitor pipeline runs and set up alerts for anomalies or failures. Work with the team to enforce data governance policies (who owns which data, access controls, compliance needs) within Foundry and downstream systems., • Cross-Functional Support: Collaborate with Data Analysts and business stakeholders to understand their data needs and optimize data outputs for analysis. For example, if Finance needs a specific revenue recognition report, ensure the pipeline provides the needed granularity. Provide ad-hoc data expertise to troubleshooting data issues or generating one-time analyses., • Performance Optimization: Profile and tune data pipelines for performance. Optimize query logic, pipeline configuration, and resource usage so that data refreshes and analytics can occur in a timely manner (especially as data volumes grow with company expansion). Manage scheduling and orchestration of jobs to meet SLAs for data availability (e.g. daily financial report refresh by 8 AM)., • Integration with Systems: Work closely with Systems Architects to coordinate how data flows tie into system integrations. For example, if a new API integration is bringing in a type of data, design the pipeline to ingest that data and join it with relevant datasets for analytics. Provide input on what data transformations could happen in-flight vs. in Foundry to maximize efficiency., • Tooling & Innovation: Contribute to developing internal tools or scripts to improve our data engineering workflow. This could include scripts for automating data deployments, custom plugins in Foundry, or using open-source frameworks (where applicable) to complement Foundry's capabilities. Also evaluate new features in Foundry and emerging data technologies to keep our stack modern., • 7+ years of experience in data engineering or ETL development, handling large-scale datasets and complex pipelines. Strong foundation in data integration concepts and database design., • Advanced Python skills for data processing (Pandas, etc.) and scripting, as well as solid SQL skills for querying and transforming data. Experience with PySpark or similar distributed data frameworks is a plus (Foundry uses Spark under the hood for big data)., • Experience building pipelines with enterprise data from systems like ERP, CRM, HRIS, or IoT sources. Familiar with different data formats (JSON, CSV, XML) and methods of extracting data (REST APIs, webhooks, database connectors)., • Hands-on experience with a modern data platform or pipeline orchestration tool. Experience with Palantir Foundry is a strong plus, but experience with alternatives (e.g. AWS Glue, Azure Data Factory, Databricks, Airflow, dbt, etc.) is acceptable if coupled with ability to learn Foundry quickly., • Solid understanding of data modeling principles (relational schemas, star/snowflake schemas for analytics, normalization vs. denormalization tradeoffs). Ability to design schemas and data transformations that meet analytics requirements efficiently., • Problem-solving and debugging skills: Able to investigate data discrepancies across systems, troubleshoot pipeline failures, and optimize slow queries., • Attention to detail and commitment to data quality - recognizes the downstream impact of data issues and proactively puts checks in place., • Good communication skills and ability to work with end users (analysts, managers) to clarify requirements. Comfortable explaining technical concepts to non-technical stakeholders when necessary., • Prior experience in a manufacturing or logistics environment where you dealt with IoT data, sensor streams, or other high-volume operational data. Understanding the nuances of such data (e.g. time-series data management) can be useful., • Familiarity with cloud data architectures (AWS or Azure data services) as Foundry operates in cloud environments. Knowledge of storage services (S3, ADLS), data warehousing (Snowflake, Redshift), and how they integrate with pipeline tools., • Experience with business intelligence tools or practices - able to appreciate how data will be used in dashboards or analytics so you can better tailor data outputs (experience with tools like Tableau, Power BI, or Foundry's Contour/Quiver dashboards)., • Knowledge of DevOps and CI/CD for data pipelines - using version control (Git), and deploying code in a controlled, automated way. Headhunters and recruitment agencies may not submit candidates through this application. ICON does not accept unsolicited headhunter and agency submissions for candidates and will not pay fees to any third-party agency without a prior agreement with ICON. As part of our compliance with these obligations, the Company invites you to voluntarily self-identify as set forth below. Provision of such information is entirely voluntary and a decision to provide or not provide such information will not have any effect on your employment or subject you to any adverse treatment. Any and all information provided will be considered confidential, will be kept separate from your application and/or personnel file, and will only be used in accordance with applicable laws, orders and regulations, including those that require the information to be summarized and reported to the federal government for civil rights enforcement purposes.

ICON is looking for an experienced, open-minded, structured thinker who loves to solve complex problems and appreciates the value of prototyping and iterating applications over time. As a Senior Software Engineer II focusing on Computational Geometry & BIM at ICON, you will be responsible for developing and architecting the pre-print, computational geometry software platform for ICON's construction printing systems. This role is based on site at our Austin, TX HQ Campus. This role is based onsite at ICON's Austin, TX location. RESPONSIBILITIES: • Lead the design and implementation of new features and products to support our BuildOS design platform, • Architect and develop cutting-edge geometric algorithms that unlock the potential of ICON 3D printing technology, • Build and maintain internal tools to help visualize, instrument and debug the 3D printing process, • Partner with Architects, Structural Engineers and Building Scientists to convert architectural plans to highly efficient and structurally sound path-planning algorithms, • Work closely with R&D engineers to perfect print quality across ICON's lineup of devices and materials, • Create robust software integrations with 3rd party CAD and CAM software, • Design and develop BIM automation tooling to streamline architectural workflows and extract design intelligence from building models, • Lead exploration and prototyping of AI-driven design approaches for generative design, design optimization, and intelligent automation of construction planning, • Build systems that bridge architectural intent with manufacturing constraints through computational design, • Drive technical standards and best practices for computational geometry systems MINIMUM QUALIFICATIONS: • 10+ years of professional experience as a software engineer with demonstrated technical leadership, • BS in Computer Science or equivalent experience, • Proven ability to work closely with a wide variety of stakeholders to rapidly analyze and reduce large requirements into small deliverables, • Strong experience building platforms, micro-services, and APIs at scale, • Track record of architecting complex systems and making sound technical decisions, • A willingness to accept failure, learn and try again, and an open mind to try solutions that may seem impossible at first, • Excellent ability to communicate clearly and succinctly both in-person and via written asynchronous channels, • Experience mentoring other engineers and contributing to team growth PREFERRED SKILLS AND EXPERIENCE: • Advanced degree in Computer Science, • A passion for learning new disciplines and gaining a deep understanding of how other professionals do their work, • Strong Node.js and TypeScript experience, with a functional programming approach, • Deep mathematical background in geometry, linear algebra, numerical analysis and advanced 3D mathematics, • Strong intuition for physical systems and principles of stability, • Extensive experience with tools and services that leverage three-dimensional trigonometry to calculate and analyze shapes and tool paths, • Hands-on experience with BIM platforms (Revit, Rhino, Grasshopper) and their APIs for automation, • Familiarity with AI/ML frameworks and applications in design, generative modeling, or optimization problems, • Experience in computational design, algorithmic architecture, or design automation, • React, Redux, and RxJs experience, • Proven experience interfacing with CAD and CAM software APIs, • Experience with parametric modeling frameworks and computational design tools, • Strong interest in the principles of parametric architecture, • PostgreSQL, GraphQL experience, • Modern CI/CD workflows: GitHub, Jenkins, Travis, etc. Headhunters and recruitment agencies may not submit candidates through this application. ICON does not accept unsolicited headhunter and agency submissions for candidates and will not pay fees to any third-party agency without a prior agreement with ICON. As part of our compliance with these obligations, the Company invites you to voluntarily self-identify as set forth below. Provision of such information is entirely voluntary and a decision to provide or not provide such information will not have any effect on your employment or subject you to any adverse treatment. Any and all information provided will be considered confidential, will be kept separate from your application and/or personnel file, and will only be used in accordance with applicable laws, orders and regulations, including those that require the information to be summarized and reported to the federal government for civil rights enforcement purposes.

Job Posting Title: Research Engineering/Scientist Associate I, II, or III Hiring Department: Department of Aerospace Engineering and Engineering Mechanics Position Open To: All Applicants Weekly Scheduled Hours: 40 FLSA Status: To Be Determined at Offer Earliest Start Date: Ongoing Position Duration: Expected to Continue Location: PICKLE RESEARCH CAMPUS Job Details: US permanent residency or citizenship is required due to sponsor requirements. About Us The Center for Space Research (___) is an Organized Research Unit of the Cockrell School of Engineering. Our mission is to carry out scientific research from spaceborne platforms, in service to society, while educating all. With over $10 million in annual funding from various federal sponsors, and working on four operating space missions, the CSR team is at the forefront of architecting, operating, and science analysis for space missions. These missions use tracking measurements of orbital motion or the measurements of the force field near the satellite to make inferences about planet Earth. For us, the satellite is the instrument, so that our understanding of the aerospace engineering of the space mission is intimately connected with our scientific data analysis. Our Earth science data products are recognized globally as setting the standard, and are utilized by geoscience investigators worldwide. Our staff and students engage and research the latest data science paradigms together with deep physical insights to carry out "parts-per-billion" discovery. Situated in the heart of Austin - named "America's Coolest City" by Expedia and "The Best Place to Live in the U.S." by U.S. News and World Report - UTCSR embodies UT Austin's pioneering history in spaceflight and discovery from space. Join us and work on the complete life-cycle of space missions, in operation, in implementation, and in formulation phases. CSR employees work with mission teams at national labs and with international partners for the implementation of flight missions and scientific data analysis. For an early career engineer, this job offers an excellent opportunity to learn, to contribute, and to gain a variety of aerospace skills in a collegial, informal environment while visibly making a mark in the profession. Benefits: UT Austin, recognized by Forbes as one of ___, provides outstanding ______ and ___ packages that include: * Competitive health benefits (employee premiums covered at 100%, family premiums at 50%), * Voluntary Vision, Dental, Life, and Disability insurance options, * Generous paid vacation, sick time, and holidays, * Teachers Retirement System of Texas, a defined benefit retirement plan, with employer matching funds, * Additional Voluntary Retirement Programs: Tax Sheltered Annuity 403(b) and a Deferred Compensation program 457(b), * Flexible spending account options for medical and childcare expenses, * Robust free training access through LinkedIn Learning plus professional conference opportunities, * Tuition assistance, * Expansive employee discount program including athletic tickets, * Free access to UT Austin's libraries and museums with staff ID card, * Free rides on all UT Shuttle and Austin CapMetro buses with staff ID card, * For more details, please see ___ and ___ ___ and ___. What Starts Here Changes the World UTCSR is looking for a "good, sound, forward looking aerospace engineer", at the title of RESA-I/II/III to join our team. The RESA I, II, or III is needed to carry out spaceflight engineering activities in support of our engagement with the GRACE Follow-On, GRACE-Continuity, and the QGG Pathfinder missions operated or in development by an international team led by Caltech/Jet Propulsion Lab. The needed work spans the gamut of spaceflight engineering including mission design, flight dynamics, requirements verification for flight systems, science traceability and requirements flowdown, and support for operations and science analyses. * Support spaceflight systems engineering activities, such as requirements development, interface definition, and verification & validation planning. * Perform data analysis of flight telemetry and housekeeping data to monitor spacecraft health, evaluate system performance, and assess impacts of the space environment (thermal, radiation, orbital dynamics, etc.). * Support the development of science data systems for upcoming missions, including data pipelines, analysis and visualization tools, quality analysis and quality control strategies, and integration with mission operations. * Conduct trade studies to evaluate alternative mission design approaches. * Prepare clear technical reports, presentations, and briefings to communicate results, recommendations, and project status to both technical and non-technical stakeholders. * Other related functions as assigned. • RESA I:Bachelor's degree in Aerospace Engineering or a related field., • RESA II:Master's degree in Aerospace Engineering or a related field or BS and two years' experience in Aerospace Engineering or related field., • RESA III:MS and two years' experience in Aerospace Engineering or a related field, or BS and four years' experience in Aerospace Engineering or related field. For all levels: • Familiarity with space flight environment and spaceflight systems engineering., • Strong foundation in aerospace systems and space flight dynamics., • Ability to carry out spaceflight analysis, including relevant data analysis., • Programming and data analytics skills. Relevant education and experience may be substituted as appropriate. Strong verbal communication and teamwork skills; technical writing skills; analytical, critical thinking and problem-solving skills; time-management skills to enable on-time project delivery. Ability to take the initiative and drive for results, and to work effectively in an interrupt-driven, fast-paced and rapidly changing environment. Proficiency in, or demonstrated ability to quickly become proficient in: • Systems engineering practices (requirements, verification & validation, interface control)., • Ability to analyze flight telemetry and housekeeping data to assess spacecraft health and space environment effects., • Proficiency in data analysis and programming (Python, MATLAB, FORTRAN, C++ or similar)., • Familiarity with database management systems, in particular TimescaleDB/PostgreSQL and/or MongoDB., • Familiarity with visualization interfaces such as Grafana and Plotly. RESA I: $70,000+ depending on qualifications RESA II: $80,000+ depending on qualifications RESA III: $90,000+ depending on qualifications * May work around standard office conditions * Repetitive use of a keyboard at a workstation * Use of manual dexterity (ex: using a mouse) * Climbing of stairs Monday - Friday, typical office hours plus occasional after-hours work. * Resume/CV * 3 work references with their contact information; at least one reference should be from a supervisor * Letter of interest Importantfor applicants who are NOT current university employees or contingent workers:You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure thatALLRequired Materials have been uploaded. Once your job application has been submitted, you cannot make changes. Important for Current university employees and contingent workers:As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questionspresented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above. Employment Eligibility: Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval. Retirement Plan Eligibility: The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. Background Checks: A criminal history background check will be required for finalist(s) under consideration for this position. Equal Opportunity Employer: The University of Texas at Austin, as an ___,complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions. Pay Transparency: The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. Employment Eligibility Verification: If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original ___ to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university. E-Verify: The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following: • ___ [PDF], • ___ [PDF], • ___ [PDF] Compliance: Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in ___. The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may ___ or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.

Business Area: Engineering Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises. At Cloudera, our Data Services Pillar is the heart of data innovation. We don't just work with technology; we build it. Our mission is to empower data practitioners by creating seamless, enterprise-grade experiences for data engineering, warehousing, streaming, operational databases, and AI. Cloudera is looking for a Senior Software Engineer to join the Enterprise AI Platform team and help drive development of Cloudera's next-generation AI and machine learning platform. You will be responsible for helping design, build, and deliver a platform that not only accelerates machine learning & AI from exploration to production but also enables enterprises to create & deploy Generative AI applications using foundation models with enterprise data at scale. This role requires an empathetic mindset and close collaboration with frontend / web UI engineers, data scientists, designers, and product management. We look for "The Startup Spark", a desire to create new things, dive in wherever there's a need, eagerness to make an impact as an individual and the willingness to learn new things. You must be self-motivated, innovative, and proactive. The role offers significant opportunities for growth. Read about the Forrester Wave Report on Cloudera's Machine Learning offerings ___. As a Senior Software Engineer you will: * Help build the leading platform for AI and Machine Learning in the enterprise. * Design, code, and implement elegant, scalable, enterprise-quality AI application services powered by machine learning models. * Work to enhance developer velocity and team agility. * Build strong relationships and collaborate with platform and front-end engineers, quality engineers, UX designers, as well as Product Management, Field, Professional Services, and other partners. We are excited if you have (Required Experience): * 5+ years of experience building scalable microservices or applications using Go, Node.js, C# or Java. * Experience with at least one of the following Cloud technologies - Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure. * Experience with building AI applications with machine learning models using data science and machine learning tools (Python, Tensorflow, Spark, MLflow, R, etc.). * Experience with microservices design and development (Go, GRPC, SQL) on Kubernetes. * Demonstrate ability to go deep into technology and complex distributed systems. * Experience in crafting high level and low level design. * Experience building scalable, robust and secure enterprise applications. * Self-driven and motivated, with a strong sense of ownership and craftsmanship. * Strong written and verbal communication skills. You may also have: * Experience with foundation models, prompt engineering, fine-tuning, semantic search and Retrieval-Augmented Generation (RAG) using vector databases such as Pinecone, Milvus, etc. * Experience with Generative AI frameworks (LangChain, Guidance, NeMo etc.). * Experience building and deploying Generative AI applications. * Full stack experience with React, HTML, CSS. * Experience with data science and machine learning tools (R, Python, Tensorflow, Spark) * Deep understanding of cloud-based networking * Experience with AI/ML orchestration software (Kubeflow, KServe, Knative) * Experience using Big Data technologies like Spark, Hive etc. * Proven track record of collaborating with agile teams across geographically dispersed locations Why this role matters: This is your opportunity to build cloud-native solutions that are deployable anywhere whether in massive clusters on any cloud provider or in private data centers. You'll work with cutting-edge technologies like Trino, Spark, Airflow, and advanced AI inferencing systems to shape the future of analytics. Your code will directly influence how data engineers, analysts, and developers worldwide find value in their data. We believe in the power of open source. You'll collaborate with project committers, contributing upstream to keep technologies like Apache Hive and Impala evolving. You'll harden these engines for rock-solid security, optimize them for peak performance, and make them effortlessly run across all environments. Join us and help build the trusted, cloud-native platform that powers insights for the most data-intensive companies on the planet. This role is not eligible for immigration sponsorship. What you can expect from us: * Generous PTO Policy * Support work life balance with ___ * Flexible WFH Policy * Mental & Physical Wellness programs * Phone and Internet Reimbursement program * Access to Continued Career Development * Comprehensive Benefits and Competitive Packages * * Employee Resource Groups EEO/VEVRAA #LI-BV1 #LI-HYBRID

Job Posting Title: Lead Data Engineer Hiring Department: Enterprise Technology - Data to Insights (D2I) Position Open To: All Applicants Weekly Scheduled Hours: 40 FLSA Status: Exempt Earliest Start Date: Immediately Position Duration: Expected to Continue Until Dec 19, 2026 Location: Texas Job Details: This is a fixed term position that is expected to continue for a 1-year limited term from start date with a possibility for extension. Flexible work arrangements are available for this position, including the ability to work 100% remotely. Remote work for individuals who reside outside Texas but within the United States and its territories will be considered and requires Central Office approval. This position provides life/work balance with typically a 40-hour work week and travel limited to training (e.g., conferences/courses). Enterprise Technology is dedicated to supporting the mission of the University of Texas at Austin of unlocking potential and preparing future leaders of the state. Your skills will make a difference. You'll be working for a university that is internationally recognized for research and the work you do will make a difference in the lives of our students, faculty and staff. If you're the type of person that wants to know your work has meaning and impact, you'll like working for our campus. The University of Texas at Austin and Enterprise Technology provide an outstanding benefits package to our staff. Those benefits include: * Competitive health benefits (Employee premiums covered at 100%; family premiums at 50%) * Vision, dental, life, and disability insurance options * Paid vacation, sick leave, and holidays * Teachers Retirement System of Texas (a defined benefit retirement plan) * Additional voluntary retirement programs: tax sheltered annuity 403(b) and a deferred compensation program 457(b) * Flexible spending account options for medical and childcare expenses * Training and conference opportunities * Tuition assistance * Athletic ticket discounts * Access to UT Austin's libraries and museums * Free rides on all UT Shuttle and Capital Metro buses with staff ID card For more details, please see: ___ and ___ Must be authorized to work in the United States on a full-time basis for any employer without sponsorship. This position requires you to maintain internet service and a mobile phone with voice and data plans to be used when required for work. The Lead Data Engineer for the UT Data Hub improves university outcomes and advances the UT mission to transform lives for the benefit of society by increasing the useability and value of institutional data. You will lead senior data engineers and data engineers to create complex data pipelines within UT's cloud data ecosystem in support of academic and administrative needs. In collaboration with our team of data professionals, you will help build and run a modern data hub to enable advanced data-driven decision making for UT. You will leverage your creativity to solve complex technical problems and build effective relationships through open communication within the team and outside partners. • Design, architect, and deliver production-grade, scalable data pipelines and AI-ready data platforms using Databricks,AWScloud-native services and modern data engineering frameworks., • Lead end-to-end implementation oflakehousedata pipelines, ensuring performance, reliability, and cost efficiency., • Championindustrybest practices for data engineering., • Conduct andparticipatein peer code reviews tomaintaincode quality and consistency across the team., • Proactivelyidentifyand resolve bottlenecks in data ingestion, transformation, and orchestration processes using Databricks Delta Live Tables, Spark optimizationtechniques, and workflow automation., • Implement systems for data quality, observability, governance, and compliance using tools such as Unity Catalog, Delta Lake, and data validation frameworks., • Lead technical knowledge-sharing sessions on topics such as AI/ML integration, datalakehousearchitecture, and emerging data technologies., • Define project milestones, timelines, and deliverables for data and AI initiatives, ensuringtimelyand high-quality outcomes., • Collaborate with both internal and external stakeholderssuch as data architects, system architects, business users, Agile teammembers, and other D2I internal groups., • Manage project priorities, sprint planning, and team workloads while balancing innovation with delivery., • Communicate risks, dependencies, and resource constraints effectively, and develop mitigation plans for on-time project delivery., • Supervise and mentor a team of Data Engineers (2-5 individuals) working on cloud, Databricks, and AI pipeline initiatives., • Foster a culture of continuous learning, experimentation, and technical excellence, encouraging engineers to explore AI and automation use cases., • Participate in recruiting, onboarding, and developing data engineering talent with strong Databricks and AI skillsets., • Conduct performance reviews, set development goals, and create individualized growth plans for team members., • Encourage collaboration across Data, AI/ML, Analytics, and Infrastructure teams to drive cross-functional success., • Provide regular updates on project progress, technical challenges, andprojectmilestones to both technical and business stakeholders., • Translate complex technical concepts related to Databricks, AI, and data architecture into clear narratives for non-technical audiences., • Foster a transparent communication culture and provide actionable feedback to promote a growth mindset., • Ensure all data engineering processes, architectures, and standards are well-documented for reuse, governance, andknowledgecontinuity., • Stay current with advancements in AI, data engineering, and Databricks ecosystem, evaluating new tools and frameworks for potential adoption., • Pilot and promote innovative solutions such as AI-assisted data quality checks, data observability automation, and intelligent pipeline optimization., • Perform other duties as assigned, contributing to the organization's data-driven and AI-enabled transformation., • Bachelor's orMaster's degree in Computer Science, Information Systems, Engineering, or equivalent professional experience., • 5+ years of experience designing, implementing, andoptimizingcomplex, production-grade datapipelinesor enterprise-scale data platforms., • 5 years of experience in cloud-based data engineering using Databricks and Amazon Web Services (AWS) (e.g., Glue, S3, Lambda, Redshift)., • 3+ years of experience managing or leading teams of data and/or software engineers, including mentorship, performance management, and project delivery., • Expertisein Python,PySpark, and SQL, withstrongunderstanding of data modeling, stored procedures, and scalable data transformations., • Proven experience architecting and implementing ETL/ELT solutions across relational, non-relational, andlakehouseenvironments (e.g., Delta Lake, Parquet, or Iceberg)., • Experience designing and managing CI/CD pipelines andinfrastructureascode(IaC) using tools such as Databricks Repos, CDK, Terraform, or GitHub Actions., • Demonstrated knowledge of test-driven development (TDD) and data quality frameworks, ensuring reliability and reproducibility across data workflows., • Deep understanding of data governance, security, and compliance standards in cloud environments., • Excellent analytical, problem-solving, and debugging skills across distributed data systems., • Proven ability to communicate complex technical concepts clearly to both technical and non-technical audiences., • Experience supervising, mentoring, and guiding junior team members on technical and professional development. Equivalent combination of relevant education and experience may be substituted as appropriate. • 8+ years of experience in Data Engineering or related fields, including 5+ years of hands-on experience building andoptimizingdata pipelines on Databricks or similar large-scale data platforms., • Proven experience implementinglakehousearchitectures leveraging Databricks Delta Lake, Delta Live Tables, and Unity Catalog for governance and scalability., • Experience designing AI-ready data platforms and integrating machine learning pipelines using tools such asMLflowor model registry frameworks., • 3+ years of experience managing or leading cross-functional technical teams, fostering collaboration between Data Engineering, Analytics, and AI/ML teams., • 5+ years of experience with Agile software development methodologies and project tracking systems such as JIRA., • Expertisein distributed data processing and streaming frameworks, such as Apache Spark, Kafka, Flink, or Airflow, for orchestration and automation., • Strong familiarity with data observability, cost optimization, and performance tuning in Databricks and cloud-nativearchitecture., • Professional certifications such as Databricks Certified Data Engineer Professional or AWS Solutions Architector AWSData Analytics Specialty are highly desirable., • Demonstrated ability to introducenew technologiesand best practices to modernize existing data environments and promote AI/analytics maturity across the organization., • Passion for continuous learning and staying current with emerging technologies in data engineering, AI integration, and Databricks ecosystem advancements. $125,000 - $143,712 • May work around standard office conditions, • Repetitive use of a keyboard at a workstation, • Use of manual dexterity (ex: using a mouse), • Monday - Friday 8am-5pm; Occasional nights or weekends may be required, • Resume/CV, • 3 work references with their contact information; at least one reference should be from a supervisor, • Letter of interest Importantfor applicants who are NOT current university employees or contingent workers:You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure thatALLRequired Materials have been uploaded. Once your job application has been submitted, you cannot make changes. Important for Current university employees and contingent workers:As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questionspresented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above. Employment Eligibility: Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval. Retirement Plan Eligibility: The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. Background Checks: A criminal history background check will be required for finalist(s) under consideration for this position. Equal Opportunity Employer: The University of Texas at Austin, as an ___,complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions. Pay Transparency: The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. Employment Eligibility Verification: If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original ___ to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university. E-Verify: The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following: • ___ [PDF], • ___ [PDF], • ___ [PDF] Compliance: Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in ___. The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may ___ or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.

Job Posting Title: Senior/Principal TCAD Engineer Hiring Department: Texas Institute for Electronics Position Open To: All Applicants Weekly Scheduled Hours: 40 FLSA Status: To Be Determined at Offer Earliest Start Date: Ongoing Position Duration: Expected to Continue Location: AUSTIN, TX Job Details: Texas Institute for Electronics (TIE) is a transformative, well-funded semiconductor foundry venture combining the agility of a startup with the scale of a national initiative. A key part of our mission is to advance the state of the art in 3D heterogeneous integration (3DHI), chiplet-based architectures, and multi-component microsystems- catalyzing breakthroughs across microelectronics, artificial intelligence, quantum computing, high-performance computing, and next-generation healthcare devices. Backed by $1.4 billion in combined funding from DARPA, Texas state initiatives, and strategic partners, we are building foundational capabilities in advanced packaging and integrated design infrastructure to restore U.S. leadership in microelectronics manufacturing. TIE's 3DHI and chiplet integration platforms integrate novel thermal management and advanced interconnect solutions to deliver unprecedented performance and energy efficiency. Operating at the intersection of defense electronics and commercial markets, TIE offers a rare opportunity to reimagine an industry from the ground up and build transformative products with global impact. UT Austin, recognized by Forbes as one of ___, provides outstanding ___ and ___ packages that include: • Competitive health benefits (employee premiums covered at 100%, family premiums at 50%), • Voluntary Vision, Dental, Life, and Disability insurance options, • Generous paid vacation, sick time, and holidays, • Teachers Retirement System of Texas, a defined benefit retirement plan, with 8.25% employer matching funds, • Additional Voluntary Retirement Programs: Tax Sheltered Annuity 403(b) and a Deferred Compensation program 457(b), • Flexible spending account options for medical and childcare expenses, • Robust free training access through LinkedIn Learning plus professional conference opportunities, • Tuition assistance, • Expansive employee discount program including athletic tickets, • Free access to UT Austin's libraries and museums with staff ID card, • Free rides on all UT Shuttle and Austin CapMetro buses with staff ID card, • For more details, please see ___ and ___ and ___ Develop and validate multi-physics, silicon-calibrated TCAD models for 3DHI devices and interfaces to predict performance and reliability. Partners across teams and external vendors co-optimize designs, set modeling best practices, deliver reusable reference flows, and mentor engineers. • Develop and own TCAD modeling frameworks for advanced devices and interfaces relevant to 3DHI, including hybrid bonding contacts, TSVs, BEOL interconnects, and emerging device structures., • Perform multi-physics simulations (electrical, thermal, mechanical, and reliability) to predict performance, variability, and failure mechanisms across stacked, heterogeneous die systems., • Co-optimize devices, interconnect, and packaging designs by working closely with process integration, packaging, and circuit teams to close the loop between fabrication, measurement, and simulation., • Calibrate and validate TCAD models using silicon data from wafer-level test vehicles and process monitors; drive model-to-hardware correlation across corners and stress conditions., • Define simulation methodologies and best practices for 3D device and interface modeling (e.g., contact resistance, current crowding, electromigration, thermo-mechanical stress)., • Engage with foundry, EDA, and materials partners to influence next-generation TCAD tool features and process design enablement for 3D-stacked systems., • Author technical documentation, modeling guidelines, and reference flows to support ecosystem adoption of TIE's device and interface platforms., • Mentor junior engineers and technical staff, setting standards for modeling rigor and engineering judgment across the organization., • Ph.D. or M.S. in Electrical Engineering, Materials Science, Applied Physics, or a closely related field with strong emphasis on device physics and numerical simulation., • 8+ years (Senior) or 12+ years (Principal) of hands-on experience with TCAD for semiconductor devices or interconnects., • Deep understanding of semiconductor device physics (MOSFETs, diodes, contacts) and transport mechanisms relevant to nanoscale and 3D structures., • Proficiency with commercial TCAD tools such as Synopsys Sentaurus, Silvaco Atlas/Victory, or equivalent multi-physics simulation environments., • Experience correlating TCAD models with silicon data and extracting physical parameters from measurements., • Strong background in process integration effects (doping, defects, interfaces, stress, and materials)., • Experience modeling 3D integration features such as hybrid bonding interfaces, TSVs, or wafer-to-wafer/die-to-wafer stacks., • Familiarity with reliability physics (electromigration, TDDB, stress migration, thermal cycling) in advanced interconnects or contacts., • Exposure to advanced materials systems (Cu-Cu bonding, barrier/liner stacks, low-k dielectrics, compound semiconductors)., • Knowledge of compact model extraction and linkage between TCAD and SPICE-level models., • Publication or patent record in semiconductor device modeling, interconnect physics, or advanced packaging., • Strong technical writing and presentation skills for industry and defense-sector collaborations. TIE pays industry-competitive salaries • May work around standard office conditions, • Repetitive use of a keyboard at a workstation, • Use of manual dexterity (ex: using a mouse), • Location: Austin, Texas is preferred for close collaboration with our engineering teams and partners. Hybrid work arrangements may be possible, with travel up to 30-50% as needed. (Any flexible arrangement would be subject to university policies and approval regarding employment laws and regulations.) Monday - Friday • Resume/CV, • 3 work references with their contact information; at least one reference should be from a supervisor Importantfor applicants who are NOT current university employees or contingent workers:You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure thatALLRequired Materials have been uploaded. Once your job application has been submitted, you cannot make changes. Important for Current university employees and contingent workers:As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questionspresented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above. Employment Eligibility: Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval. Retirement Plan Eligibility: The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length. Background Checks: A criminal history background check will be required for finalist(s) under consideration for this position. Equal Opportunity Employer: The University of Texas at Austin, as an ___,complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions. Pay Transparency: The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. Employment Eligibility Verification: If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original ___ to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university. E-Verify: The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following: • ___ [PDF], • ___ [PDF], • ___ [PDF] Compliance: Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in ___. The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may ___ or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.

Job Posting Title: Thermal Mechanical Modeling Engineer Hiring Department: Texas Institute for Electronics Position Open To: All Applicants Weekly Scheduled Hours: 40 FLSA Status: To Be Determined at Offer Earliest Start Date: Ongoing Position Duration: Expected to Continue Location: AUSTIN, TX Job Details: About Us The___is a University of Texas at Austin-supported semiconductor consortium of state and local government, preeminent defense electronics and semiconductor companies, national labs and nationally recognized academic institutions. Our mission is to develop and execute a state-of-the-art 3D Heterogenous Integration manufacturing technology roadmap, and to provide critical pilot manufacturing capabilities to address national security needs and catalyze domestic economic growth. Join the Texas Institute for Electronics (TIE) and help us push the boundaries in critical semiconductor domains, including advanced packaging, with the aim of reestablishing U.S. prominence in semiconductor manufacturing. With over $1 billion in funding from the US DoD and the state of Texas, we're at the forefront of creating cutting-edge semiconductor manufacturing equipment and processes that will set the course for future advancements in semiconductor logic, memory, heterogeneous integration, chip cooling and more. Situated in the heart of Austin - named "America's Coolest City" by Expedia and "The Best Place to Live in the U.S." by U.S. News and World Report - the Texas Institute for Electronics embodies the city's innovative spirit. UT Austin, recognized by Forbes as one of ___, provides outstanding ___ and ___ packages that include: • Competitive health benefits (employee premiums covered at 100%, family premiums at 50%), • Voluntary Vision, Dental, Life, and Disability insurance options, • Generous paid vacation, sick time, and holidays, • Teachers Retirement System of Texas, a defined benefit retirement plan, with 8.25% employer matching funds, • Additional Voluntary Retirement Programs: Tax Sheltered Annuity 403(b) and a Deferred Compensation program 457(b), • Flexible spending account options for medical and childcare expenses, • Robust free training access through LinkedIn Learning plus professional conference opportunities, • Tuition assistance, • Expansive employee discount program including athletic tickets, • Free access to UT Austin's libraries and museums with staff ID card, • Free rides on all UT Shuttle and Austin CapMetro buses with staff ID card, • For more details, please see ___ and ___ and ___ Must be eligible to work in the United States on a full-time basis for any employer without sponsorship. This role is to lead and execute comprehensive thermal and mechanical simulations for advanced 2.5D/3.0D heterogeneous integration and multi-material packages. The position will also collaborate with EDA vendors, OSATs, and foundries, and stay current with next-gen interface standards to guide technical strategy and mentor junior engineers. • Own and execute hands-on semiconductor package mechanical and thermal simulations for advanced 2.5D/3.0D heterogeneous integration and multi-material packages., • Perform modeling, extraction, and verification of high-speed interconnects, power delivery networks, thermal management, and mechanical stress across chiplets and advanced substrates., • Build and validate comprehensive ADK/PDK models (electrical, EM, thermal, mechanical) that accurately represent package-level behavior and enable system-level co-design., • Run end-to-end simulation workflows including thermal/structural reliability checks, and co-simulation across domains., • Collaborate directly with EDA vendors (Cadence, Ansys, Synopsys, Siemens, Keysight, etc.), OSATs, and foundries to develop, test, and refine package simulation flows., • Generate user guides, reference flows, scripts, and automation that make SI/PI/multiphysics enablement repeatable and accessible to design teams., • Stay current with next-gen interface standards (PCIe Gen6/7, CXL, UCIe, UALink, SerDes, HBM) and incorporate their requirements into package design methodologies., • Guide technical strategy for SI/PI flows, mentor junior engineers, and represent TIE in working groups, customer design reviews, and industry forums., • Other related functions as assigned., • BS in Electrical Engineering, Computer Engineering, Applied Physics, or related discipline., • 3 or more years of direct, hands-on experience in multiphysics simulations for advanced packaging, 2.5D/3DIC, or heterogeneous integration platforms., • Strong expertise with EDA/EM/multiphysics tools: Ansys HFSS/SIwave, Cadence Sigrity/Clarity, Synopsys RaptorX, Siemens HyperLynx, Keysight ADS, COMSOL, CST Studio., • Proven ability to extract/package-level models (dielectric/thermal constants, warpage/stress data) and integrate them into design enablement flows., • Hands-on scripting/automation skills (Python, Tcl, SKILL, etc.) to streamline simulation flows., • You're energized by ambiguity, act with urgency, and take personal ownership for outcomes. You make things happen., • Execution mindset. You have demonstrated experience working in a hands-on role driving progress across multiple initiatives without layers of management., • Location. Austin, Texas is required for close collaboration with our engineering teams and partners., • MS or PhD in Electrical Engineering, Applied Physics, or related discipline., • 5 or more years of direct, hands-on experience in multiphysics simulations for advanced packaging, 2.5D/3DIC, or heterogeneous integration platforms., • Deep experience with multi-material packages (Si, glass, organics, Cu, RDL, TSV, hybrid bonding, etc.)., • Expertise in system-level co-simulation spanning electrical, thermal, and mechanical domains for high-power/high-bandwidth-density packages., • Familiarity with industry standards (IEEE, JEDEC, OIF, UCIe, 3Dblox, JEP30) and experience contributing to working groups., • Background in high-speed interconnect modeling and compliance testing for PCIe, CXL, UCIe, SerDes, HBM, or similar standards., • Demonstrated experience creating and validating PDK/ADK simulation collateral spanning thermal, and mechanical domains., • Track record of technical publications, patents, or open-source contributions in SI/PI/multiphysics simulation and design enablement. TIE Pays Industry Competitive Salaries • Uniforms and/or personal protection equipment (furnished), • May work in all weather conditions, • May work in extreme temperatures, • May work around chemical fumes, • May work around standard office conditions, • May work around biohazards, • May work around chemicals, • May work around electrical and mechanical hazards, • Repetitive use of a keyboard at a workstation, • Use of manual dexterity (ex: using a mouse), • Climbing of stairs, • Climbing of ladders, • Lifting and moving 30 pounds, • Monday - Friday, • Occasional nights/weekends required, • Resume/CV, • 3 work references with their contact information; at least one reference should be from a supervisor, • Letter of interest Importantfor applicants who are NOT current university employees or contingent workers:You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure thatALLRequired Materials have been uploaded. Once your job application has been submitted, you cannot make changes. Important for Current university employees and contingent workers:As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questionspresented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above. Employment Eligibility: Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval. Retirement Plan Eligibility: The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length. Background Checks: A criminal history background check will be required for finalist(s) under consideration for this position. Equal Opportunity Employer: The University of Texas at Austin, as an ___,complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions. Pay Transparency: The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. Employment Eligibility Verification: If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original ___ to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university. E-Verify: The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following: • ___ [PDF], • ___ [PDF], • ___ [PDF] Compliance: Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in ___. The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may ___ or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.

Job Posting Title: Senior or Principal Signal Power Integrity and Multiphysics Engineer, Texas Institute for Electronics Hiring Department: Texas Institute for Electronics Position Open To: All Applicants Weekly Scheduled Hours: 40 FLSA Status: To Be Determined at Offer Earliest Start Date: Ongoing Position Duration: Expected to Continue Location: AUSTIN, TX Job Details: Applicants must be eligible to work in the United States on a full-time basis for any employer without sponsorship. The___is a transformative, well-funded semiconductor foundry venture combining the agility of a startup with the scale of a national initiative. A key part of our mission is to advance the state of the art in 3D heterogeneous integration (3DHI), chiplet-based architectures, and multi-component microsystems- catalyzing breakthroughs across microelectronics, artificial intelligence, quantum computing, high-performance computing, and next-generation healthcare devices. Backed by $1.4 billion in combined funding from DARPA, Texas state initiatives, and strategic partners, we are building foundational capabilities in advanced packaging and integrated design infrastructure to restore U.S. leadership in microelectronics manufacturing. Our 3DHI and chiplet integration platforms integrate novel thermal management and advanced interconnect solutions to deliver unprecedented performance and energy efficiency. Operating at the intersection of defense electronics and commercial markets, TIE offers a rare opportunity to reimagine an industry from the ground up and build transformative products with global impact. With over $1 billion in funding from the US DoD and the state of Texas, we'reat the forefront of creating cutting-edge semiconductor manufacturing equipment and processes that will set the course for future advancements in semiconductor logic, memory, heterogeneous integration, chip cooling and more. Situated in the heart of Austin - named "America's Coolest City" by Expedia and "The Best Place to Live in the U.S." by U.S. News and World Report - the Texas Institute for Electronics embodies the city's innovative spirit. UT Austin, recognized by Forbes as one of ___, provides outstanding ___ and ___ packages that include: * Competitive health benefits (employee premiums covered at 100%, family premiums at 50%) * Voluntary Vision, Dental, Life, and Disability insurance options * Generous paid vacation, sick time, and holidays * Teachers Retirement System of Texas, a defined benefit retirement plan, with employer matching funds * Additional Voluntary Retirement Programs: Tax Sheltered Annuity 403(b) and a Deferred Compensation program 457(b) * Flexible spending account options for medical and childcare expenses * Robust free training access through LinkedIn Learning plus professional conference opportunities * Tuition assistance * Expansive employee discount program including athletic tickets * Free access to UT Austin's libraries and museums with staff ID card * Free rides on all UT Shuttle and Austin CapMetro buses with staff ID card For more details, please see: ___ and ___ This role is to lead and execute comprehensive Signal Integrity (SI), Power Integrity (PI), and Multiphysics simulations for advanced 2.5D/3.0D heterogeneous integration and multi-material packages. The position will also collaborate with EDA vendors, OSATs, and foundries, and stay current with next-gen interface standards to guide technical strategy and mentor junior engineers. • Own and execute hands-on SI/PI and Multiphysics simulations for advanced 2.5D/3.0D heterogeneous integration and multi-material packages., • Perform modeling, extraction, and verification of high-speed interconnects, power delivery networks, thermal management, and mechanical stress across chiplets and advanced substrates., • Build and validate comprehensive ADK/PDK models (electrical, EM, thermal, mechanical) that accurately represent package-level behavior and enable system-level co-design., • Run end-to-end simulation workflows including EM extraction, S-parameter generation, PDN impedance analysis, crosstalk/eye diagram simulations, thermal/structural reliability checks, and co-simulation across domains., • Collaborate directly with EDA vendors (Cadence, Ansys, Synopsys, Siemens, Keysight, etc.), OSATs, and foundries to develop, test, and refine package simulation flows., • Generate user guides, reference flows, scripts, and automation that make SI/PI/multiphysics enablement repeatable and accessible to design teams., • Stay current with next-gen interface standards (PCIe Gen6/7, CXL, UCIe, UALink, SerDes, HBM) and incorporate their requirements into package design methodologies., • Guide technical strategy for SI/PI flows, mentor junior engineers, and represent TIE in working groups, customer design reviews, and industry forums., • Other related functions as assigned., • BS in Electrical Engineering, Computer Engineering, Applied Physics, or related discipline., • 8 or more years of direct, hands-on experience in signal integrity, power integrity, and multiphysics simulations for advanced packaging, 2.5D/3DIC, or heterogeneous integration platforms., • 12 or more years of direct, hands-on experience in signal integrity, power integrity, and multiphysics simulations for advanced packaging, 2.5D/3DIC, or heterogeneous integration platforms. For both titles:, • Strong expertise with EDA/EM/multiphysics tools: Ansys HFSS/SIwave, Cadence Sigrity/Clarity, Synopsys RaptorX, Siemens HyperLynx, Keysight ADS, COMSOL, CST Studio., • Proven ability to extract/package-level models (RLC, S-parameters, dielectric/thermal constants, warpage/stress data) and integrate them into design enablement flows., • Demonstrated experience creating and validating PDK/ADK simulation collateral spanning SI/PI, RF, thermal, and mechanical domains., • Hands-on scripting/automation skills (Python, Tcl, SKILL, etc.) to streamline simulation flows., • Startup DNA. You're energized by ambiguity, act with urgency, and take personal ownership for outcomes. You make things happen., • Execution mindset. You have demonstrated experience working in a hands-on role driving progress across multiple initiatives without layers of management., • Location. Austin, Texas is preferred for close collaboration with our engineering teams and partners. Hybrid work arrangements may be possible with travel up to 30-50%. Such arrangements are subject to University review and approval in relation to jurisdictional employment-related laws, rules, and regulations. Relevant education and experience may be substituted as appropriate. • MS or PhD in Electrical Engineering, Applied Physics, or related discipline., • Deep experience with multi-material packages (Si, glass, organics, Cu, RDL, TSV, hybrid bonding, etc.)., • Expertise in system-level co-simulation spanning electrical, thermal, and mechanical domains for high-power/high-bandwidth-density packages., • Familiarity with industry standards (IEEE, JEDEC, OIF, UCIe, 3Dblox, JEP30) and experience contributing to working groups., • Background in high-speed interconnect modeling and compliance testing for PCIe, CXL, UCIe, SerDes, HBM, or similar standards., • Track record of technical publications, patents, or open-source contributions in SI/PI/multiphysics simulation and design enablement. TIE Pays Industry Competitive Salaries • May work in all weather conditions, • May work in extreme temperatures, • May work around chemical fumes, • Climbing of stairs, • Climbing of ladders, • Lifting and moving 30 pounds, • Monday - Friday 8am to 5pm, • Occasional/frequent nights/weekends required, • Resume/CV, • 3 work references with their contact information; at least one reference should be from a supervisor, • Letter of interest Importantfor applicants who are NOT current university employees or contingent workers:You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure thatALLRequired Materials have been uploaded. Once your job application has been submitted, you cannot make changes. Important for Current university employees and contingent workers:As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questionspresented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above. Employment Eligibility: Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval. Retirement Plan Eligibility: The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length. Background Checks: A criminal history background check will be required for finalist(s) under consideration for this position. Equal Opportunity Employer: The University of Texas at Austin, as an ___,complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions. Pay Transparency: The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. Employment Eligibility Verification: If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original ___ to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university. E-Verify: The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following: • ___ [PDF], • ___ [PDF], • ___ [PDF] Compliance: Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in ___. The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may ___ or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.

Job Family Data Engineering & Architecture Consulting Travel Required Up to 25% Clearance Required None Executive Summary Guidehouse is a recognized leader in shaping AI and data client engagements, leading multidisciplinary teams, and delivering transformative AI and data solutions to financial institutions, including banks, insurers, asset managers, and fintechs. Our AI & Data Practice brings together deep technical expertise, regulatory domain knowledge, and proven transformation methodologies to help government organizations responsibly adopt and scale emerging technologies. As a Director and AI & Data Lead, you will shape and expand Guidehouse's AI and analytics capabilities across financial institutions, including banks, insurers, asset managers, and fintechs. You will drive the strategy, development, and delivery of cutting-edge AI solutions—including machine learning, generative AI, intelligent automation, cloud-native data platforms, and enterprise data governance. This role combines executive-level client advisory, technical leadership, and business development ownership to grow a rapidly scaling portfolio at the intersection of AI and data innovation and commercial financial services companies. You will drive market growth, lead technical solution delivery, build high-performing teams, and advise senior executives on responsible AI adoption, governance, and modernization. This role blends strategic leadership, hands-on technical credibility, and business development accountability, consistent with Guidehouse's Director expectations. What You Will Do • Lead Guidehouse's AI & Data portfolio for Commercial Financial Services, setting vision, driving execution, and shaping go-to-market strategies., • Serve as the primary executive advisor to financial institutions, including banks, insurers, asset managers, and fintechs on AI strategy, data modernization, responsible AI governance, intelligent automation, and advanced analytics., • Oversee delivery of complex AI/data programs including cloud-native architectures, machine learning platforms, model development, MLOps, data engineering, and enterprise data governance., • Lead and coach multidisciplinary teams of data scientists, engineers, strategists, and consultants; ensure delivery excellence, quality, and client satisfaction., • Develop and maintain strong client relationships with CXOs, agency leadership, and senior stakeholders across regulatory and oversight entities., • Drive business development, including pipeline creation, opportunity pursuit, proposal development, and thought leadership., • Own growth targets and delivery financials, including portfolio profitability, delivery oversight, and staffing optimization., • Shape and institutionalize Guidehouse methodologies, accelerators, and best practices for AI and data, and responsible use of emerging technologies., • Partner with internal teams to recruit, mentor, and retain top AI and data talent., • Represent Guidehouse at industry forums and working groups, and AI/governance communities of practice. What You Will Need • 10+ years of experience delivering AI and Data in cloud-based environments, or Advanced Analytics solutions within commercial financial services environments., • Based on our contractual obligations, candidate must be located within the United States and US Citizen., • Demonstrated technical leadership delivering AI/ML, data engineering, data governance, or intelligent automation projects at enterprise scale., • Proven consulting experience, including managing client relationships, leading delivery teams, and driving high-quality outcomes across large initiatives., • Business development success, including leading go-to-market efforts, shaping solutions, writing proposals, and closing deals., • Strong executive communication skills with demonstrated ability to explain complex AI/technical topics to business and mission audiences., • Relevant AI, cloud, or data certifications, such as:, • AWS Machine Learning / Data Analytics / Solutions Architect, • Azure AI Engineer / Data Engineer / Solutions Architect, • Databricks Data Engineer / Machine Learning Professional, • Snowflake SnowPro certifications, • Experience leading implementations in cloud environments such as AWS, Azure, Google Cloud, or hybrid environments, including secure cloud deployments. What Would Be Nice to Have • Prior leadership roles within a consulting firm or leading systems integrator., • Experience with Generative AI, LLM operations, agentic AI, RAG design patterns, or enterprise AI governance frameworks., • Understanding of financial institutions, including banks, insurers, asset managers, and fintechs. ., • Familiarity with data privacy, model risk management, responsible AI, and ethics frameworks., • Thought leadership experience—published articles, conference presentations, speaking engagements. The annual salary range for this position is $226,000.00-$376,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: * Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays * Position may be eligible for a discretionary variable incentive bonus * Parental Leave and Adoption Assistance * 401(k) Retirement Plan * Basic Life & Supplemental Life * Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts * Short-Term & Long-Term Disability * Student Loan PayDown * Tuition Reimbursement, Personal Development & Learning Opportunities * Skills Development & Certifications * Employee Referral Program * Corporate Sponsored Events & Community Outreach * Emergency Back-Up Childcare Program * Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $250,000 per year A bit about us: We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role. Why join us? • Competitive Base Salary, • Company paid health plan for employees, • Flexible Hours, • Very generous PTO, • Dental and Vision, FSA, HSA, • Small team, autonomy, • Many more great perks! Job Details Responsibilities: • Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation)., • Ensure the robustness, scalability, and enterprise-level security of solutions., • Collaborate with the data science team to transform prototypes into new products, services, and features., • Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation., • Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity., • Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data., • Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices., • Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree or PhD will be a plus., • Minimum of 6 years of experience as a Machine Learning Engineer or similar role., • Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting., • Proven experience in designing and implementing machine learning solutions at scale on AWS., • Solid experience in software development with a focus on quality, performance, and scalability., • Proven ability to design and implement robust data pipelines., • Strong experience with data modeling, data access, and data storage techniques., • Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders., • Strong problem-solving skills, attention to detail, and ability to think creatively., • Ability to work independently and as part of a team in a fast-paced, dynamic environment., • Strong passion for learning and adapting to new technologies., • AWS Certified Machine Learning or similar certification will be a plus. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. 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Job DescriptionCompany Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. While building components of powerful payment technology, you will get to see your efforts shaping the digital future of monetary transactions. The Work itself: • Design code and systems that touch 40% of the world population while influencing Visa’s internal standards for scalability, security, and reusability, • Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings, • Actively contribute to product quality improvements, valuable service technology, and new business flows in diverse agile squads, • Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions., • Leverage innovative technologies to build the next generation of Payment Services, Transaction Platforms, Real-Time Payments, and Buy Now Pay Later Technology, • Aligns enhancements and modifications to existing software coding standard processes and design specifications, across regions, and ensures they are aligned with current security standards., • Guides the implementation of automation to improve effectiveness and efficiencies of systems and tools across regions and supports development and implementation of new automation, identifying where investment will yield the greatest efficiencies., • Maintains communication with regional leadership across functions to monitor and direct the cadence of code reviews, on-call rotations, and incident responses throughout product development and operations cycles. Basic Qualifications: 10+ years of relevant work experience and a Bachelors degree, OR 13+ years of relevant work experience Preferred Qualifications: 12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD Proven experience leading and mentoring high-performing engineering teams to deliver scalable, distributed backend applications while fostering a culture of innovation. Expertise in defining and driving Secure Software Development Life Cycle (SSDLC) strategy for complex systems. Strong leadership skills with a demonstrated ability to influence cross-functional teams and present complex technical concepts to diverse audiences. Background in payments, financial services, or fintech, with the ability to translate industry trends into strategic opportunities. Deep strategic understanding of blockchain technologies, DeFi protocols, and consensus mechanisms, with experience guiding architectural decisions for on-chain data and security. Experience setting the technical direction for scalable dApp development on EVM-compatible blockchains, leveraging strong knowledge of ERC standards and EIPs. A strong advocate for modern engineering practices, including TDD, CI/CD, and performance engineering to ensure high-quality software delivery. Highly motivated and quick to learn, with a passion for tackling complex challenges and leading teams in adopting new technologies. The Skills You Bring: Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale Challenge the Status Quo: Comfort in pushing the boundaries, ‘hacking’ beyond traditional solutions Language Expertise: Expertise in one or more general development languages (e.g., Java, C#, C++) Builder: Experience building and deploying modern services and web applications with quality and scalability Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc. Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn’t work with payments technology or web applications before joining Visa. Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for this position is $186,800 to $299,200 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Job DescriptionWho We AreArrive Logistics is a leading transportation and technology company in North America, with plans to continue to significantly grow year over year. Our success is a testament to our remarkable team and what we are building together. We’re committed to providing employees with a meaningful work experience and have established an award-winning culture that supports personal and career development in a fun, casual, and collaborative environment. There has never been a more exciting time to get on board, so read on to learn more and apply today! Who We WantAs a Machine Learning Platform Engineer at Arrive Logistics, you will play a key role in maintaining and expanding Arrive's ML platform and product capabilities. This role requires driving and contributing to crucial roadmap projects while ensuring quality, maintainability and functionality. These initiatives may vary from serving models scalably to building ML-powered products focused on maximizing profit.What You’ll Do • Design, build, and maintain scalable ML systems and infrastructure using Python, Postgres, and Elasticsearch., • Partner closely with other Machine Learning Engineers, Product Managers, Data Scientists, Data Engineers, and Product Engineers to ensure the successful delivery of strategic and roadmap initiatives, • Own systems throughout the software development lifecycle, from design to development, deployment and monitoring., • Maintain and improve performance of existing data systems and processes while balancing maintainability, observability and readability., • Participate in an on-call rotation where you will support incidents and questions about service behavior from product managers., • Demonstrate a deep sense of ownership by developing a thorough understanding of a domain. At the same time, you must be able to explain the behavior of and contribute to code bases that may be outside your domain., • Proactively propose solutions to gaps in process, technology, software design and architecture, • Provide rigorous and detailed code reviews that uphold team standards, testing and software design best practices, • Foster a culture of constant improvement and growth, engineering excellence, humility, positivity and curiosity. Take a lead role in making our two days in the office productive and engaging, fostering face-to-face mentorship and collaborative whiteboarding sessions.Qualifications, • Bachelor’s degree in Computer Science, Engineering, or a related field or equivalent professional experience., • 3+ years of experience with ML ops (features stores, model registries and auto ML), model serving and optimization., • 3+ years of experience with Python and building highly scalable backend services, • Experience with frameworks like Sklearn, Pandas and Numpy. Plus if Huggingface, Tensorflow, Pytorch experience., • 2+ years of experience with relational databases, • 2+ years of experience designing maintainable and scalable systems, • System design experience with a focus on loosely coupled, distributed systems, microservices and event-driven architectures, • Experience developing cloud-native dockerized applications in Kubernetes, • Experience working with online experimentation and platforms like Statsig, • Understanding of both traditional machine learning and deep neural networks, • Strong communication skills with the ability to articulate, diagram and document complex ML or engineering concepts., • Strong analytical, problem-solving, decision-making, and interpersonal skills., • Strong project management and organizational skills with experience identifying project milestones to ensure timely project delivery, • You are a self-starter who can deliver projects independently, yet you also thrive in collaborative environments. You recognize the value of diverse perspectives in developing optimal solutions and consistently demonstrate a willingness to support colleagues as a strong team player., • You approach software engineering as a craft, balancing the pursuit of clean, maintainable code with the demands of a fast-moving, dynamic business environment. You collaborate effectively with product managers and leadership to choose development paths that minimize technical debt while ensuring the timely delivery of high-quality products. While you have a strong drive for innovation, you also recognize the critical need to stabilize and harden existing products and services., • You believe that while remote work is functional, in-person collaboration is where the "magic" happens. You are excited to help shape the energy of our physical workspace., • You take initiative to go beyond current responsibilities and actively seek new challenges., • You are passionate about building high impact ML and data driven products.The Perks of Working With Us, • Take advantage of our comprehensive benefits package, including medical, dental, vision, life, disability, and supplemental coverage., • Invest in your future with our matching 401(k) program., • Build relationships and find your home at Arrive through our Employee Resource Groups., • Enjoy office wide engagement activities, team events, happy hours and more!, • Leave the suit and tie at home; our dress code is casual., • Work in the booming city of Austin, TX – we are in a convenient location close to the airport and downtown., • Park your car for free on site!, • Start your morning with a specialty drink from our fully stocked coffee bar, Broker’s Brew., • Sweat it out with the team at our onsite gym., • Maximize your wellness with free counseling sessions through our Employee Assistance Program, • Take time to manage your physical and mental health - we offer company paid holidays, paid vacation time and wellness days., • Receive 100% paid parental leave when you become a new parent., • Get paid to work with your friends through our Referral Program!

Job DescriptionEverlywell is a digital health company pioneering the next generation of biomarker intelligence—combining AI-powered technology with human insight to deliver personalized, actionable health answers. We transform complex biomarker data into life-changing insights—seamlessly integrating advanced diagnostics, virtual care, and patient engagement to reshape how and where health happens. Over the past decade, Everlywell has delivered close to 1 billion personalized health insights, transforming care for 60 million people and powering hundreds of enterprise partners. In 2024 alone, an estimated 1 in 86 U.S. households received an Everlywell test, solidifying our spot as the #1 at-home testing brand in the country. And we’re just getting started. Fueled by AI and built for scale, we’re breaking down barriers, closing care gaps, and unlocking a more connected healthcare experience that is smarter, faster, and more personalized. Everlywell is transforming the diagnostics experience, and robust, intelligent infrastructure is critical to delivering on our mission. As a DBA / Data Engineer, you will own and optimize our database platforms, while building scalable data pipelines, modeling systems, and analytical infrastructure across AWS and Azure. You’ll work at the intersection of data reliability, pipeline scalability, and AI automation—helping power a high-performing, data-driven diagnostic platform. This role requires someone who can bring deep expertise in database operations and modern data engineering practices, while embracing an AI-first mindset to automate and enhance performance, observability, and efficiency across the data stack. You will be a critical hands-on contributor who builds and maintains the foundational infrastructure that enables our product and engineering teams to move fast, securely, and intelligently.Database Ownership & Engineering Duties: • Lead operational management of PostgreSQL and MySQL databases hosted in AWS (RDS, Aurora) and Azure., • Ensure database availability, performance, backups, replication, and disaster recovery., • Continuously optimize database queries and indexing to support product performance at scale., • Implement AI-augmented tooling and automation for monitoring, tuning, and routine database maintenance.Data Engineering & Infrastructure Duties:, • Design, build, and maintain scalable data pipelines that support real-time and batch processing., • Develop data integration workflows across internal and external data sources, including APIs and partner systems., • Support data lake and warehouse infrastructure, optimizing for performance and cost-efficiency., • Define and enforce best practices for data quality, lineage, and schema governance., • Enable analytics, AI, and product teams by delivering trusted, well-structured datasets and models.AI-First Enablement Duties:, • Identify opportunities to incorporate AI into data workflows (e.g., anomaly detection, data validation, pipeline optimization), • Champion adoption of AI-based tools and automation across database and data engineering operations., • Experiment with and integrate modern AI agents, copilots, and models to accelerate data workflows.Who You Are:, • 5+ years of experience in a combined Database Administration and/or Data Engineering role., • Deep experience administering PostgreSQL and MySQL in production, cloud-native environments., • Strong experience building and scaling data pipelines with tools like Airflow, DBT, or similar., • Hands-on skills with AWS (including RDS, Aurora, S3, Glue, Lambda) and familiarity with Azure data services., • Proficient in Terraform and modern CI/CD tools (e.g., GitLab CI/CD)., • Strong scripting ability (e.g., Python, Bash) for automation and workflow orchestration., • Committed to working in an AI-first environment—excited by rapid learning and tool integration., • Detail-oriented problem solver who values performance, scalability, and reliability., • Collaborative, communicative, and comfortable in a fast-paced, high-growth environment.Preferred Qualifications:, • AWS or Azure certifications., • Experience with stream processing (e.g., Kafka, Kinesis) and real-time data architecture., • Familiarity with observability stacks like Prometheus, Grafana, or Datadog., • Exposure to security, compliance, and auditing frameworks (HIPAA, SOC2, etc.).

Job DescriptionSr. Software Engineer - Site Reliability About ShipperHQ: ShipperHQ is a trusted leader in the e-commerce shipping space, with over 15 years of experience helping merchants deliver better checkout experiences. Founded in 2009, we power shipping logic and checkout optimization for thousands of brands, from DTC disruptors to enterprise retailers, in 150+ countries. Based in Austin with a global team, we’re a fast-moving, product-led company shaping the future of e-commerce logistics. Position Overview: We’re seeking a Senior Site Reliability Engineer to join our fast-paced Engineering team. The ideal candidate is a self-starter with a strong engineering mindset who can take ownership of our cloud systems, reference architectures, deployment processes, and landing zones. This role requires deep experience with AWS, DevOps practices, and automation to support and improve our complex cloud environment. Responsibilities: • Design, implement, and maintain Infrastructure as Code (IaC) for cloud systems, • Build and provision solutions that improve cloud operations and support engineering and QA teams, • Develop, maintain, and optimize CI/CD pipelines for deployments across multiple environments, • Collaborate with security teams to maintain a strong security posture, • Configure and maintain highly available systems in AWS, • Build and maintain observability, monitoring, and logging systems, • Support software engineers and collaborate on infrastructure needs, • Guide teams on best practices for infrastructure, deployment, and reliability, • Implement monitoring and logging standards for infrastructure and applications, • 5+ years of experience in Software Engineering, Site Reliability Engineering, DevOps, or similar roles, • Strong experience with AWS, particularly in multi-region or multi-tenant environments, • Background in software development with a solid understanding of modern engineering practices, • Experience managing infrastructure using Infrastructure as Code, preferably Terraform, • Hands-on experience with CI/CD tools such as GitLab, • Experience working with containerized environments and modernizing applications, • Familiarity with observability, monitoring, and incident response practices, • Experience working with databases, enterprise systems, or eCommerce platforms, • Proficiency in administering Linux/Unix systems, • Strong understanding of Agile methodologies and test-driven development practices, • Collaborative mindset with a proactive, solutions-oriented approach This is a highly fast-paced environment where no two days will look alike. For the right candidate, with the right attitude, there are fantastic opportunities for career progression. We are an agile, fast-moving team that likes to roll up our sleeves and solve some of the biggest issues in shipping. You will learn more at ShipperHQ in a year than you would in 3 years at other companies, thanks to our collaborative learning culture that fosters continuous growth and innovation. Benefits and Perks: • Collaborate with a motivated team, directly tying your results to organizational success, • 22 days of PTO plus public holidays, • 401k Match, • Medical, Dental, and Vision Insurance, • Maternity and Paternity Leave, • This is a hybrid, full-time position working out of our Austin, TX office in the Arboretum Area Powered by JazzHR Lfe6jkjjkt

Job Description Job Title: AI/ML Engineer Job Type: Full-Time Job Summary: Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing toproprietary AI infrastructure, youll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. Youll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling. Key Responsibilities: • Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications., • Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain., • Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock., • Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference., • Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions., • Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD)., • Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration., • Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments., • Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain., • Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock)., • Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes., • Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines)., • Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise., • Knowledge of metadata catalog platforms (MCP) and advanced API development techniques., • Prior exposure to government or highly regulated cloud environments and compliance standards.

Job DescriptionWho is Sonar? Sonar helps prevent code quality and code security issues from reaching production, amplifies developers' productivity in concert with AI assistants, and improves the developer experience with streamlined workflows. Sonar analyzes all code, regardless of who writes it — your internal team, genAI, or third parties — resulting in more secure, reliable, and maintainable applications. Rooted in the open source community, Sonar’s solutions support over 30 programming languages, frameworks, and infrastructure technologies. Today, Sonar is used by +7M developers and 400K organizations worldwide, including the DoD, Microsoft, NASA, MasterCard, Siemens, and T-Mobile. We believe in developing great products that are supported by great internal teams and a strong culture. We are highly committed to and obsessed with the company, users, each other, and our open source community. We have high standards and hold each other accountable for acting with positivity, dedication, thoughtfulness, empathy, and passion daily. We are deliberate with our decisions with high clarity of intention. At the same time, we feel extreme urgency and move forward quickly. And lastly, we are highly effective and operationally efficient. We operate collectively as One Team to accomplish our goals. At Sonar, CODE is more than just an acronym – it's a mindset that defines daily operations. Why You Should Apply: At Sonar, we’re a group of brilliant, motivated, and driven professionals working hard to help supercharge developers to build better, faster. Sonar helps to continuously improve code quality and code security while reducing developer toil. This means that developers can focus on doing more of what they love and less of what they don’t. Our solutions don’t just solve symptoms of problems – we help fix issues at the source – for all code, whether it's developer-written, AI-generated, or from third parties. We have a dynamic culture with employees worldwide and hub offices in the USA, Switzerland, the UK, Singapore, and Germany. Team members should be able to come to work every day, work on a product they are proud of, love what they do, and feel energized by their peers. With our roots deep in the open source community, we’re all about the mission: supercharge developers to build better, faster. The Impact You Will Have: You will be the main technical architect responsible for how our most strategic enterprise clients and partners implement and deploy our machine learning solutions. As one of our first group of Forward Deployed ML Engineers, you will establish our ML solutions for organizations concerned with the quality, security, performance, and cost of coding models. You will leverage your deep ML expertise and technical skills to ensure successful, production-grade implementations, ultimately driving rapid market adoption through proven on-site technical success and client satisfaction. What You Will Do Daily: • End-to-End Ownership: Proactively engage with client or partner teams in Research, Engineering, Data Science, MLOps, Infrastructure to understand their business and technical requirements. With our internal R&D team in the loop, design specific implementations that you will integrate, optimize, and productionize within the client’s existing or greenfield systems as well as transferring technical knowledge to client teams when applicable., • Subject Expert: Stay up-to-date with the latest LLM capabilities and implementation patterns, you are learning driven. You will need to explain complex technical details and concepts to both technical and non-technical audiences., • Influence Model Training & Tuning: Represent our core R&D team on-site, leading technical engagement with modern techniques covering all stages of model training using complex, proprietary client data. Ensure architecture is aligned with and optimized for specific constraints (e.g. GPU types, air-gapping)., • Develop Deployment Strategy: Define and execute a global technical strategy for integrating our ML solutions into diverse client environments, ensuring compliance with sector-specific data security standards and performance SLAs. Based on your implementations, build reusable playbooks and libraries that will accelerate yourself and others., • Building Relationships: Operate autonomously and with agency to build strong relationships with clients, create strategic technical partnerships and drive high-value, referenceable production deployments., • Serve as Internal Expert: Act as the primary internal consultant, advising product, research, and sales on real-world client infrastructure limitations, performance bottlenecks, and emerging technical standards necessary for product success.The Experience You Will Need:, • Education: Bachelor's degree in Computer Science or a related field., • Experience: 2+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software/ML Engineer with consulting experience., • ML Engineering & Training Expertise: Experience in the Machine Learning lifecycle (training, optimization, deployment), with a proven ability to lead and execute complex model deployments in production environments., • Forward Deployed/Consulting Background: Proven track record working within or closely alongside client engineering teams to successfully deploy and integrate complex, high-performance software, involving cloud or on-premise ML workloads., • Technical & MLOps Knowledge: Understanding of modern ML frameworks, programming languages including Python, and deployment technologies (Docker, Kubernetes, cloud services like SageMaker/Vertex AI/Azure AI)., • Value-Driven Influence: Demonstrated ability to influence senior technical leaders and lead engineers, translating complex model performance and system architectures into clear, tangible business value and deployment assurance.Why You Will Love It Here:, • Our culture and mission set us apart. We have a dynamic work culture that values respect and kindness and embraces the right to fail (and get right back up again!)., • Great people make a great company. We value people skills as much as technical skills and strive to keep things friendly while still being passionate leaders in our domains., • We have a flexible work policy that includes 3 days in-office and 2 days work-from-home each week for those located near our office locations; some locations such as Dubai, India, Japan and Australia operate fully remotely., • We have a growth mindset. We love learning and believe continuous education is critical to our success. In an ever-changing industry, new skills are necessary, and we're happy to help our team acquire them., • As the leader in our field, our products and services are as strong as our internal team members., • Flexible comprehensive employee benefit package., • We encourage usage of our robust time-off allocations. You will receive 23 days of PTO per calendar year (on a pro-rated basis depending on your employment start date), with additional time provided for sickness, life events and holidays., • We offer an exciting 401(k) plan that has a 4% match, fully vested on day one of participation., • Fully paid parking in the heart of downtown Austin, Texas., • Global workforce with employees in 20+ countries representing 35+ unique nationalities., • We have an annual kick-off somewhere in the world where we meet to build relationships and goals for the company.

Job DescriptionPlease Note: To conform with the United States Government Space Technology Export Regulations, the applicant must be a U.S. citizen, lawful permanent resident of the U.S., conditional resident, asylee or refugee (protected individuals as defined by 8 U.S.C. 1324b(a)(3)), or eligible to obtain the required authorizations from the U.S. Department of State. At CesiumAstro, we are developers and pioneers of out-of-the-box communication systems for satellites, UAVs, launch vehicles, and other space and airborne platforms. We take pride in our dynamic and cross-functional work environment, which allows us to learn, develop, and engage across our organization. If you are looking for hands-on, interactive, and autonomous work, CesiumAstro is the place for you. We are actively seeking passionate, collaborative, energetic, and forward-thinking individuals to join our team. We are looking for a Senior Machine Learning Engineer II to contribute to the development and deployment of machine learning solutions for our advanced distributed processing platforms. This role is highly collaborative, working closely with product, backend, and systems engineering teams to design, integrate, and maintain robust ML applications that support CesiumAstro’s mission. JOB DUTIES AND RESPONSIBILITIES • Design, develop, and maintain deep learning pipelines for real-time data processing., • Evaluate and curate relevant datasets; establish model benchmarks to measure performance., • Improve observability and monitoring for deployed ML systems., • Develop, deploy, and maintain microservices that deliver ML capabilities to production systems., • Enhance tooling and orchestration for tuning, deployment, and scaling of ML pipelines., • Collaborate in research and development initiatives, contributing to new ML capabilities for aerospace and defense applications., • Document designs, workflows, and operational best practices to ensure maintainable and resilient ML systems. JOB REQUIREMENTS AND MINIMUM QUALIFICATIONS, • Bachelor’s or higher degree in Computer Science, Engineering, or related technical field., • 6+ years of professional experience developing production-ready ML systems in small to medium-sized organizations (additional experience required for larger organizations)., • Proficiency in Python with demonstrated experience implementing ML algorithms in production environments., • Experience designing and maintaining APIs for ML services., • Hands-on experience deploying and managing ML workflows in Kubernetes environments., • Strong communication skills with the ability to clearly articulate complex technical ideas., • Ability to work effectively in a collaborative, Agile engineering team. PREFERRED EXPERIENCE, • Knowledge of microservice architectures and distributed data systems., • Familiarity with aerospace or defense applications of ML systems.

Job DescriptionThe Opportunity We are a fast-paced B2B chemical eCommerce distributor looking for a "hands-on" Chemical Product Manager (Chemical Supply Chain Integration Lead) to serve as the connective tissue of our business. In this role, you are the "Everything Product" lead. This isn't a lab role; it's an operational powerhouse role. You will bridge the gap between technical chemical data and commercial execution. We need someone with a strong technical foundation in chemistry (Chemists are encouraged to apply!) who wants to apply that expertise to supply chain strategy, regulatory compliance, and digital excellence. In this role you'll work closely with the CEO and Chemist to continuously build out our product road map and work cross functionally to successfully launch new products. Responsibilities: What You'll Do Your success will be measured by the agility and health of our product portfolio, ensuring every SKU is optimized for performance and seamlessly integrated into our global operations. Product & Supplier Lifecycle Management • Lead product launches and integration: Orchestrate high-impact product introductions by synchronizing workflows across Operations, Marketing, IT, and Customer Relations to ensure every launch is flawless and every department is aligned., • Cross-functional collaboration: Work closely with the CEO and Chemist to translate product vision into actionable plans, and collaborate effectively with Operations, Customer Relations, Finance, Marketing, and IT to ensure successful product initiatives., • Centralize Product Intelligence: Act as the single source of truth for all product data. You will oversee the integrity of our eCommerce product pages, manage all related documentation, and ensure accuracy in physical packaging labels, including the generation of final label PDFs., • Champion customer satisfaction: Serve as the vital link between Customer Relations, Quality, and Supply Chain. You will advocate for the customer by translating feedback into vendor-side improvements, coordinating with the Quality team to resolve root-cause issues, and ensuring internal stakeholders are fully briefed on resolution paths., • Must-Haves:, • 3+ years of progressive experience in Product Management, Product Development, or a related role within a company managing a significant SKU count (ideally 500+ SKUs)., • Chemical Background - either a degree in Chemistry or related field or prior deep experience in chemicals., • B2B Mindset: Understanding of the industrial/commercial buying cycle and the technical requirements business customers expect., • Data Integrity: A "zero-error" mindset. When dealing with chemicals and B2B shipping, the technical data on our website and labels must be 100% accurate., • Workflow Orchestrator: Proven ability to move a project through multiple departments (Operations, IT, Marketing) to get a product "shelf-ready" online., • Demonstrated experience in managing the full product lifecycle, from ideation and sourcing to launch and post-launch optimization., • Exceptional project management skills: Ability to manage multiple priorities, deadlines, and stakeholders effectively., • Analytical prowess: Proficient in leveraging product data, sales results, and market insights to drive strategic decisions and inform demand planning., • Excellent communication and interpersonal skills: Ability to clearly articulate complex information, influence stakeholders, and build strong relationships across all levels of the organization and with external partners., • Attention to detail: Meticulous in tracking supplies, managing product data, and ensuring accuracy across all product information., • Problem-solving aptitude: Capable of identifying issues and advocating for effective solutions., • Strong technical skills including inventory management platform experience and Excel or Google Sheets, • Nice-to-Haves:, • Degree in supply chain management, business administration, or similar fields Our core values are an integral part of our success defining who we are. We bring our core values to life in everything we do at Lab Alley. Therefore, every hire is aligned with our core values: CARE: We care about people and take pride in our work. COMMITMENT: We believe success is characterized by our commitment to continuous improvement. GENUINE: We believe in being real, authentic, and direct with those around us. GROWTH: Lab Alley encourages continual learning and leads with curiosity. INITIATIVE: To be successful, we always strive to make things happen! INNOVATION: Lab Alley is driven by a relentless pursuit of innovation, constantly seeking new ideas, technologies, and approaches to enhance the experiences of our customers. WORK ETHIC: We believe a strong work ethic is about being fully engaged, resilient, and focused on tasks to ensure each project receives attention and consideration. Beyond our work, we believe in giving back. With every purchase made through our e-commerce website, we partner with Ecodrive to plant a tree, contributing to a healthier planet and improved socio-economic conditions. Benefits & Logistics We invest in our team's well-being and growth: • Comprehensive Benefits: Medical, Dental, Vision, Short Term Disability, Life & Accidental Death & Dismemberment, Supplemental Health Insurance, Wellness Program, Employee Discount Program, Employee Assistance Program, • Financial & Time Off: 401k, Paid Time Off. Note: Lab Alley uses E-Verify for all positions and conducts background checks. Don't meet every single requirement? Studies have shown that members from some under-represented groups are less likely to apply for jobs if they don't meet every single qualification. At Lab Alley, we are dedicated to building a diverse and inclusive workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles, and we are excited about hearing from you. Lab Alley is an equal opportunity employer and considers all applicants for all positions without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected by law. Please note: Lab Alley is not accepting unsolicited resumes or candidate submissions from staffing agencies for this position. In the absence of a signed agreement with Lab Alley's People Operations leader, no fee will be paid for any candidates submitted by agencies. All unsolicited resumes will be considered the property of Lab Alley. Agencies should not reach out to our team members. To see if we are establishing new relationships with agencies you may send your information to

Job DescriptionJob Description Renesas Electronics is searching for a hands-on AI Compiler Engineer who thrives at the convergence of cutting-edge AI, compiler tech, and hardware design. Here, you’ll not only architect and scale a production-class AI compiler toolchain, but also rethink how AI automates, optimizes, and accelerates every step of building and deploying neural networks on Renesas SoCs. You’ll work shoulder-to-shoulder with visionary engineers—both human and AI—enabling adaptive compilers that learn, evolve, and redefine what’s possible for embedded intelligence. With a relentless focus on hardware-software co-design, you’ll collaborate across teams to translate high-level AI models into blazing-fast, energy-efficient executables, unlocking the full potential of our silicon for real-world impact. Innovation here isn’t a catchphrase—it’s your everyday. What You’ll Do · Own the design, implementation, and evolution of an AI compiler toolchain that leverages AI agents to seamlessly map neural networks onto Renesas SoC platforms. · Pioneer new graph transformations, lowering, scheduling, and codegen strategies for CPUs and custom accelerators, driven by insights from AI-powered analytics. · Build deep integrations with leading AI frameworks (PyTorch, TensorFlow, ONNX, and more), using AI agents to rapidly onboard new model architectures and ops. · Push the envelope on quantization, operator fusion, memory planning, and layout transformations—combining human expertise and AI-guided design for state-of-the-art results. · Partner with hardware and software architects, kernel hackers, and AI agents to co-design next-gen compiler and accelerator features, aligning silicon and code for maximum impact. · Diagnose and crush performance bottlenecks with AI-enabled profiling and diagnostics, relentlessly tuning for latency, throughput, and power efficiency. · Level up validation, benchmarking, and regression pipelines by harnessing AI agents—ensuring compiler correctness and world-class performance, release after release. · Uplevel the developer experience by streamlining usability, diagnostics, and documentation—AI agents are your copilots for user support, troubleshooting, and rapid iteration. Qualifications • MS/PhD (or equivalent experience) in Computer Science, EE, or related field, • Deep experience building AI compilers, accelerator backends, or graph optimization frameworks., • Strong expertise in graph optimization and performance optimization for NPUs or custom accelerators, • Experience with MLIR, LLVM, TVM-like systems, or proprietary compiler IRs., • Excellent C/C++ and Python skills, • Solid understanding of AI inference workloads (CNNs, transformers, perception or generative models), • Experience with automotive or safety-critical systems., • Background in heterogeneous SoCs (CPU/GPU/DSP/NPU), • Performance modeling or hardware–software co-design experienc Additional Information Renesas is an embedded semiconductor solution provider driven by its Purpose ‘To Make Our Lives Easier.’ As the industry’s leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse team of over 22,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, ‘To Make Our Lives Easier.’ At Renesas, you can: • Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things., • Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people’s lives easier, safe and secure. Join Renesas. Shape Your Future with Us. Renesas Electronics is an equal opportunity and affirmative action employer, committed to celebrating diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by federal, state or local law. For more information, please read our Diversity & Inclusion Statement. Renesas Electronics deals with dual-use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas. We have adopted a hybrid model that gives employees the ability to work remotely two days a week while ensuring that we come together as a team in the office the rest of the time. The designated in-office days are Tuesday through Thursday for innovation, collaboration and continuous learning.

Job Description We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs. We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you! Requirements: • Bachelor's degree in Computer Science, Engineering, or related field, • 5+ years of experience, with at least 2 years in both deep learning and software engineering, • Proficiency in deep learning frameworks like Tensorflow and/or PyTorch, • Experience with CNNs, LSTMs/RNNs, Transformers, • Strong math skills and Python proficiency, • Master's or PhD in Computer Science, Engineering, or related field, • Experience in embedded or low-level programming, • Knowledge of CUDA/OpenGL, • Experience deploying neural networks in production, • Familiarity with model compression techniques like quantization, pruning, etc.These are permanent full time remote positions.

Job Description Electrical / System Engineer Interested in getting in at the ground floor of a new, disruptive company attacking an important multi-billion-dollar problem? Businesses and consumers continue to demand increasing data services at an exponential rate -- streaming, deep learning, analytics, loT connectivity, and more. What this means is higher performing CPUs, components, servers, and ultimately Data and Edge computing centers, all generating excessive heat that is increasingly difficult to manage with traditional cooling systems. Accelsius is developing revolutionary direct-to-chip, 2-Phase cooling technologies that empower and enable Server OEMs, Data Centers, Edge Computing Operators, and 5G Edge deployments to meet performance, sustainability, scale, and cost goals while serving this high-growth market for data services. Accelsius is hiring an Electrical Engineer with broad, systems-level skills. You’ll work on everything from sensor interfaces and power conversion to leading sensor integration and hands-on bring-up/debug across complex electro-mechanical systems. On our Systems Engineering team, you’ll architect, build, and troubleshoot the electronics that power our enterprise cooling platforms—delivering reliable, testable hardware for data-center deployment. Role Responsibilities: • Responsible for the overall design of power delivery subsystems in our enterprise cooling solutions as well as system boards that use sensor input for control loops., • Works with other engineering teams on component selection and system architecture of electro-mechanical aspects of the rack cooling solution., • Candidate should have multiple years of experience in electrical or complex system design and completed products that have made it into full production., • Previous design experience based around automation with analogue and digital feedback desired., • Component selection knowledge with broad understanding of what’s currently available from the industry and suppliers. This can vary from small electrical components to large valves, pumps, and pressure sensors. Willingness to learn from vendors and trade events is key., • Skills in schematic design, with familiarity in board layout, and routing using Altium is a bonus., • Candidates should have familiarity with common datacenter power distribution and cooling norms and practices., • Experience around typical serial IO interfaces, i2c, SPI, RS485, and analog signal conditioning for use by A2D., • Experience in board bring-up and debug using typical lab equipment. Troubleshooting thought process is important., • Candidates must enjoy being on a talented team while learning and sharing knowledge., • B.S. in electrical engineering, mechatronics engineering or related fields preferred. The position is onsite based in Austin, Texas. This position includes the responsibilities outlined above and may also encompass additional duties as assigned to meet business and compliance needs. Accelsius does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. Accelsius encourages applications from minorities, women, the disabled, protected veterans, and all other qualified applicants.

Job Description About the Team We are at the forefront of artificial intelligence, driving innovation and shaping the future with cutting-edge research. Our mission is to ensure that AI's benefits reach everyone. We are looking for visionary Machine Learning Engineers to join our Applied Group, where you'll transform groundbreaking research into real-world applications that can change industries, enhance human creativity, and solve complex problems. About the Role As a Machine Learning Engineer in our Applied Group, you will have the opportunity to work with some of the brightest minds in AI. You'll contribute to deploying state-of-the-art models in production environments, helping turn research breakthroughs into tangible solutions. If you're excited about making AI technology accessible and impactful, this role is your chance to make a significant mark. In this role, you will: • Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring our research from concept to implementation, creating AI-driven applications with a direct impact., • Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives., • Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches., • Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices., • Make a Difference: Monitor and maintain deployed models to ensure they continue delivering value. Your work will directly influence how AI benefits individuals, businesses, and society at large. You might thrive in this role if you: • Master's/ PhD degree in Computer Science, Machine Learning, Data Science, or a related field., • Demonstrated experience in deep learning and transformers models, • Proficiency in frameworks like PyTorch or Tensorflow, • Strong foundation in data structures, algorithms, and software engineering principles., • Experience with search relevance, ads ranking or LLMs is a plus., • Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization, • Excellent problem-solving and analytical skills, with a proactive approach to challenges., • Ability to work collaboratively with cross-functional teams., • Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines, • Enjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done We are an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

Job DescriptionRole Overview The Senior Generative AI Engineer is responsible for designing, building, and deploying Natera's Generative AI and Machine Learning solutions. The role needs excellent hands-on AI engineering excellence to build robust, accurate, and reliable AI solutions. This role requires deep expertise in Generative AI and machine learning engineering at scale, with a passion for building solutions that directly impact patient outcomes and clinical innovation. In this role, you will develop enterprise-grade AI/ML solutions that power internal workflows (R&D, Lab Ops, Clinical Trials, Billing, Patient/Provider engagement) to automate business processes. You will also build cutting-edge AI solutions leveraging agentic architecture, retrieval-augmented generation (RAG), vector search, feature stores, LLMOps, experimentation, observability, and compliance-first AI pipelines. Key Responsibilities * Design, build, and operate LLM-powered systems used in production, from initial design through deployment and iterations * Build scalable agentic AI automation solutions, selecting appropriate patterns (reasoning, memory, agent frameworks, MCP's, workflow orchestration, fine-tuning) based on business requirements * Implement GenAI patterns such as RAG, tool/function calling, and multi-step workflows, selecting approaches based on accuracy, reliability and cost * Develop and maintain data ingestion and retrieval pipelines, especially for unstructured or semi-structured documents * Fine-tune and adapt open-source or commercial LLMs for domain-specific tasks when appropriate * Set quality, evaluation, and reliability standards for GenAI systems, including testing, monitoring, observability, and failure handling * Make system-level tradeoffs across model choice, latency, cost, accuracy, and operational complexity, and guide teams through those decisions * Deploy and monitor GenAI services on AWS, optimizing for latency, cost, and system stability * Collaborate with product managers and domain experts to translate requirements into technical solutions * Establish golden paths (templates, examples, docs) and contribute to shared GenAI libraries, patterns, and best practices used by other engineers * Provide technical guidance and mentorship to mid-level engineers QualificationsRequired: * 8+ years of experience in software engineering, ML engineering, or applied AI * Proven experience building and operating LLM-based systems in production * Strong Python skills and experience with PyTorch and/or Hugging Face * Experience building agentic AI solutions using agent frameworks (LangChain, CrewAI etc.) and agent execution engines (AWS Bedrock etc.) * Solid understanding of RAG architectures, embeddings, vector databases, and prompt orchestration * Experience deploying AI systems on AWS (e.g., SageMaker, Bedrock, EKS/ECS, Lambda, S3) * Strong debugging skills and comfort working across model, data, and infrastructure layers * Ability to work independently on complex problems and communicate clearly with cross-functional partners Preferred: * Masters degree or PhD in Computer Science, AI/ML, engineering or related field * Experience in healthcare, pharma, diagnostics, or other regulated industries * Familiarity with AI governance frameworks, bias detection, explainability, and compliance (e.g., HIPAA, CLIA, FDA) The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.Remote USA$125,000—$156,300 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women's health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you'll work hard and grow quickly. Working alongside the elite of the industry, you'll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management. WHAT WE OFFER Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program! For more information, visit . Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide. All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws. If you are based in California, we encourage you to read this important information for California residents. Link: Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes. For more information: • BBB announcement on job scams, • FBI Cyber Crime resource page

Job DescriptionCompany Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Cybersecurity is at the beating heart of our culture. Our diligence and expertise is what makes us the undisputed leader in electronic payments. We’ve made it our priority to create a top-tier Cybersecurity team, poised to defend us against any potential cyber threats. We’re looking for those of you who are inherently driven and fascinated by the art and science of cybersecurity and more specifically, mergers and acquisitions with a specific focus on Cybersecurity integration. We’ll equip you with the very best tools and tech so that you can deliver top notch results. Continuous self-development underpins job fulfilment at Visa. As a Cybersecurity Engineer within the Cybersecurity M&A Team, you are uniquely placed to utilize and grow your engineering and defense skills across a myriad of security technologies. Your role will cover: Cyber Engineering: · Deploy and maintain security infrastructure: IDS, FIM, WAF, SASE, firewalls, web proxies, vulnerability scanners · Implement cloud security controls and automate security workflows · Develop SIEM correlation rules, dashboards, and alerts to detect cyber-attacks · Manage IAM solutions including Active Directory, SSO, and MFA · Apply expertise in network protocols and DDoS mitigation · Collaborate across cybersecurity and engineering teams to meet business requirements Cyber Defense and Incident Response: · Monitor and triage security alerts via SIEM, escalating and documenting incidents per operational procedures · Analyze sensor data (AV, IDS, Windows events, web proxy logs) to establish context and eliminate false positives · Contain and mitigate threats using approved incident response methodologies · Support time-critical investigations and collaborate with cross-functional teams · Operationalize threat intelligence from internal and external sources · Identify emerging threats, trends, and technologies impacting business security · Provide feedback to enhance detection capabilities and security posture · Respond to security incident reports via multiple communication channels This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Preferred Qualifications: • 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD), • Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or related field, • Cybersecurity certifications (CISSP, CEH, OSCP, GSEC, GCIH, GCIA, GCED, GCFA, CySA+), • Enterprise-level incident response and security operations experience, • Hands-on cybersecurity incident handling with associated IR tools, • Proficiency with security tools: SIEM, AV, WAF, IDS, Netflow, packet analyzers, EDR, • Deep knowledge of malware families and network attack vectors, • Strong TCP/IP, networking, and packet analysis skills, • Operating systems, network services, and application security knowledge, • Web application vulnerabilities (XSS, CSRF, SQL injection, DoS, API attacks), • OWASP Top 10 and DDoS mitigation strategies, • Cloud security best practices and multi-tenant SaaS environments, • Regulatory framework knowledge (PCI DSS, ISO27001, ISAE3402), • DevSecOps, CI/CD, containerization, and automation experience, • Strong interest and experience in AI/ML for cybersecurity applications (professional, academic, or personal projects), • Programming and scripting proficiency for security automation, • Familiarity with machine learning algorithms, frameworks, and AI models in security contexts, • Experience with LLMs for threat analysis, automation, or security workflows (preferred), • Exceptional problem-solving abilities with tenacity and resilience, • Strong communication and presentation skills across diverse audiences, • Leadership and interpersonal skills to build credibility and influence peers Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for this position is $123,700.00 to $191,300.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Job DescriptionDescriptionBrivo is the global leader in cloud video surveillance, delivering cyber-secure, cloud-based video with artificial intelligence (AI) and analytics to make businesses more efficient and the world a safer place. The Brivo VMS (video management system) is the only platform robust and flexible enough to power the future of video surveillance and intelligence. Brivo is based in Austin, Texas, with offices in Bethesda, MD, Amsterdam, Bangalore, and Tokyo. This is a 5-day in-office position built for maximum impact. Direct, high-bandwidth collaboration is key to the level of Network Ownership and accelerated cross-functional growth we offer. Be in the room to influence architecture, partner with senior leadership, and make immediate, high-stakes decisions that drive the business forward. We believe that we are better together than apart. Are you ready to be the decision-maker for the global network backbone of a world-class cloud platform? We are searching for a mid level engineer ready to take complete ownership of our rapidly expanding data center network across multiple continents. This is an empowering role where you will be instrumental in designing, architecting, and optimizing our complex global connectivity. You will dive deep into cutting-edge technologies, including Juniper EVPN-VXLAN, and advanced routing protocols (BGP). Critically, while you will own the network domain, you will also be deeply embedded in the wider Infrastructure team. This provides a clear, defined path for you to grow into all areas of our Infra stack—from Linux compute and storage to Kubernetes and site reliability engineering (SRE). If you are passionate about building resilient, secure, and scalable networks, and are eager for a role where your expertise acts as the core architectural decision-maker with clear opportunities to expand your career into overall infrastructure leadership, we can’t wait to connect with you. Key ResponsibilitiesThis role is for an engineer who will support network architecture while contributing across the broader infrastructure. • Implement, optimize, and scale the global data center backbone to ensure high availability and security., • Contribute to the implementation and refinement of Juniper EVPN-VXLAN fabric for scalable overlay networks in our cloud environment., • Configure and manage mission-critical routing protocols (BGP,IPSec,ICCP) to ensure resilient, high-performance global connectivity., • Configure and maintain security policies using enterprise-grade firewalls (Fortinet, or similar)., • Collaborate with Infrastructure, SRE, and Development teams to integrate networking solutions with compute, storage and cloud systems (Kubernetes/Ceph)., • Develop and maintain automation scripts (Python,Bash,Ansible) to streamline network provisioning and scaling., • Utilize and support network observability tools (Prometheus,Grafana) for infrastructure monitoring and insight., • 3+ years of hands-on experience as a Network Engineer proficient in Juniper EVPN-VXLAN, advanced routing, and enterprise firewalls., • Working knowledge of core routing protocols BGP/IPSec for scaling global data center networks., • Strong proficiency in Linux and proven ability to automate tasks using Python, Bash, or Ansible., • Practical experience with Prometheus and Grafana for proactive network monitoring and actionable insights., • Experience in configuring firewalls and implementing network security best practices., • Ability to independently troubleshoot and resolve complex network and infrastructure issues., • Proactive approach to learning and adopting new technologies across the infrastructure stack., • Willingness to occasionally travel to data centers for on-site deployments and maintenance., • Advanced troubleshooting utilities: grep, awk, sed, and tcpdump., • Implementing Anycast for scalable network resilience., • Integrating network solutions with Kubernetes and CNI., • Medical Benefits: We offer competitive medical, vision, and dental plans. Company offsets premiums., • Taco Tuesdays: Like breakfast tacos? You’re at the right place, because weekly breakfast tacos are provided., • 401k plan with company match!, • Weekly Lunch: Food is love. Especially when it is free., • Snacks: You will never go hungry., • Culture: Innovation drives our vibe., • Diversity: We embrace our global presence, the diverse ideas and backgrounds of our team to improve our culture, our products and grow our people and our business., • Unlimited PTO: We value our employees’ work/life balance and want you to spend the time off you need.

Job DescriptionCompany Description Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world. Progress starts with you. Job Description The Value‑Added Services Product Development (VAS PD) team drives diversification of Visa’s revenue through differentiated, network‑agnostic products that extend the power of the Visa ecosystem. Within VAS, the Risk and Security Solutions (RAS) team delivers mission‑critical, AI‑driven risk, fraud, authentication, and identity platforms serving issuers, merchants, fintechs, and partners at global scale. The Chief Software Engineer in the RAS Product Development team is a senior technical authority responsible for defining and executing enterprise‑scale technology strategy, cloud‑native architecture, and engineering excellence aligned to business outcomes. This role provides deep technical leadership across Acceptance and Authentication Risk platforms (Visa Enhanced Authentication, Visa Secure, Cardinal, Decision Manager) and Identity platforms (Identity Graph and Device Intelligence). This position requires hands‑on expertise in public cloud, distributed systems, security‑first design, and Generative / Agentic AI, with a strong focus on developer productivity, platform leverage, and client‑facing innovation. Essential Functions • Define, own, and evolve the end‑to‑end technical vision, architecture, and execution strategy for RAS platforms, ensuring alignment with business objectives while accelerating innovation, scalability, and time‑to‑market., • Architect, design, and implement high‑throughput, low‑latency, highly available (99.999%+) distributed systems supporting real‑time transaction processing, authentication, and identity services at global scale., • Lead the enterprise adoption of Generative AI and Agentic AI to achieve 10X gains in developer productivity, including AI‑assisted coding, testing, observability, security analysis, and autonomous agents for platform operations, as well as AI‑powered, client‑facing product capabilities., • Establish and institutionalize modern software engineering best practices, including CI/CD automation, DevSecOps, Infrastructure‑as‑Code, and policy‑driven governance to improve quality, velocity, and operational resilience across the SSDLC., • Drive cloud‑first, cloud‑native architecture across AWS and/or Azure, optimizing for resiliency, elasticity, performance, cost efficiency, and zero‑trust security using managed services, containers, and serverless technologies., • Actively contribute to critical path initiatives by developing core frameworks, shared services, automation platforms, reference architectures, and proof‑of‑concepts to validate emerging technologies and accelerate product delivery., • Provide technical leadership at scale, setting architectural standards, engineering KPIs, and execution priorities while enabling high‑performing teams to deliver complex, multi‑year platform roadmaps., • Partner cross‑functionally with security, privacy, risk, compliance, governance, and business stakeholders to deliver compliant, secure, and resilient solutions meeting strict non‑functional requirements and regulatory expectations., • Translate complex technical strategies into clear, executive‑level narratives, influencing senior leadership, product management, and external partners through data‑driven decision‑making., • Mentor and coach senior engineers, staff engineers, and engineering managers, fostering a culture of technical excellence, continuous learning, innovation, and knowledge sharing through design reviews, tech talks, and one‑on‑one mentorship., • Implement rigorous engineering excellence practices across design, development, testing, deployment, monitoring, and incident response to uphold platform reliability, security, and architectural integrity., • Exemplify and reinforce Visa’s Leadership Principles by acting as an owner, promoting collaboration, and executing with operational and technical excellence. Basic Qualifications: • 15 or more years of experience with a Bachelor’s Degree or 12 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, or MD), PhD with 9+ years of experience, • Technical Expertise: 15+ years of software engineering experience with deep expertise in architecting large‑scale, cloud‑native, distributed systems. Strong proficiency in Java, Python, GoLang, and modern frameworks such as Spring Boot, Node.js, and React., • Generative AI & Agentic AI: Demonstrated success applying Generative AI and autonomous agents to deliver order‑of‑magnitude productivity improvements and differentiated product features. Experience integrating LLMs, vector databases, prompt engineering, RAG, and AI governance into production platforms., • Cloud & DevOps: Hands‑on experience with AWS and/or Azure, including containerization (Docker), orchestration (Kubernetes), serverless architectures, and CI/CD pipelines with strong DevSecOps practices., • Architectural Leadership: Deep understanding of architectural patterns, trade‑off analysis, and long‑term platform evolution. Experience designing and operating active‑active, multi‑region, globally resilient systems., • Hands‑On Leadership: Willingness and ability to contribute directly to production code, frameworks, and prototypes to validate ideas, unblock teams, and accelerate adoption of emerging technologies.• API & Integration: Extensive experience with RESTful and gRPC APIs, microservices architectures, service meshes, and event‑driven systems (Kafka, Pub/Sub, streaming platforms). Rust knowledge is a plus., • Security Expertise: Strong foundation in API security, cryptography, data encryption, key management, and HSMs. Proven experience implementing security‑by‑design, zero‑trust, and defense‑in‑depth practices in regulated environments., • Data & Caching: Proficiency with SQL and NoSQL data stores and distributed caching technologies such as Redis. Experience designing data models for high‑scale, low‑latency systems., • SSDLC Automation: Proven ability to automate the entire SSDLC using automated testing, security scanning, quality gates, observability, and release orchestration to improve speed, reliability, and compliance., • Leadership & Communication: Exceptional ability to lead, influence, and mentor engineering organizations. Strong communication skills to articulate complex technical concepts to executives, clients, and diverse technical audiences. Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for this position is 195,800.00 to 313,500.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Job DescriptionWho is Sonar? Sonar helps prevent code quality and code security issues from reaching production, amplifies developers' productivity in concert with AI assistants, and improves the developer experience with streamlined workflows. Sonar analyzes all code, regardless of who writes it — your internal team, genAI, or third parties — resulting in more secure, reliable, and maintainable applications. Rooted in the open source community, Sonar’s solutions support over 30 programming languages, frameworks, and infrastructure technologies. Today, Sonar is used by +7M developers and 400K organizations worldwide, including the DoD, Microsoft, NASA, MasterCard, Siemens, and T-Mobile. We believe in developing great products that are supported by great internal teams and a strong culture. We are highly committed to and obsessed with the company, users, each other, and our open source community. We have high standards and hold each other accountable for acting with positivity, dedication, thoughtfulness, empathy, and passion daily. We are deliberate with our decisions with high clarity of intention. At the same time, we feel extreme urgency and move forward quickly. And lastly, we are highly effective and operationally efficient. We operate collectively as One Team to accomplish our goals. At Sonar, CODE is more than just an acronym – it's a mindset that defines daily operations. Why You Should Apply: At Sonar, we’re a group of brilliant, motivated, and driven professionals working hard to help supercharge developers to build better, faster. Sonar helps to continuously improve code quality and code security while reducing developer toil. This means that developers can focus on doing more of what they love and less of what they don’t. Our solutions don’t just solve symptoms of problems – we help fix issues at the source – for all code, whether it's developer-written, AI-generated, or from third parties. We have a dynamic culture with employees worldwide and hub offices in the USA, Switzerland, the UK, Singapore, and Germany. Team members should be able to come to work every day, work on a product they are proud of, love what they do, and feel energized by their peers. With our roots deep in the open source community, we’re all about the mission: supercharge developers to build better, faster. The Impact You Will Have: As a member of one of our engineering teams, you'll be a key player in making SonarQube and SonarCloud the best tools for Code Quality and Security, providing new features to deliver high quality and powerful products and services that help our users write better software. Our team specializes in delivering features for large customers on our enterprise plans. You will have the opportunity to see your features come to life in Production with short iteration loops. While keeping our roadmap and business priorities in mind, you will be able to have a high impact on the software that we own and develop. By joining us you will bring your experience and expertise to help push our product to its next stage of evolution and fulfill the needs of our large user and customer base.What You Will Do Daily: • Work with Product Managers and UX designers to specify new features and improve our products., • Develop those new features with the end user in mind, and write unit tests and integration tests for them., • Lead the definition of the architecture of our applications on AWS., • Have strong ownership of the team’s work and drive sprints to completion., • Deploy and monitor our new features in production., • Help solve production problems related to our team’s features., • Provide mentorship to engineers to help them grow in their technical responsibilities and remove blockers to their autonomy., • Work with agile methodologies., • Contribute to the definition of the team’s short and long-term goals. The Experience You Will Need:, • 6+ years of experience as a Java Software Engineer., • Developing in Java with clean and maintainable code, having design patterns and application’s architecture in mind., • Good knowledge of engineering processes, structural design, and system optimization., • Excellent engineering skills and a good understanding of Computer Science fundamentals., • Experience architecting cloud-native applications on AWS., • Experience with relational RDBMS (such as Postgres) and SQLCode Quality practices (experience in using testing frameworks), constructive code reviews., • Tooling: Knowledge of build tools (Maven or Gradle); Experience with a version control system such as git, • Experience with NoSQL databases such as DynamoDB., • Experience with the design and implementation of REST web services APIs., • Taking initiative and having the ability to lead a subject from beginning to end., • Open-minded and very positive can-do attitude., • Comfortable in dealing with change and complexity., • Self-confident enough to challenge the status quo as well as to give & receive feedback.Why You Will Love It Here:, • Our culture and mission set us apart. We have a dynamic work culture that values respect and kindness and embraces the right to fail (and get right back up again!)., • Great people make a great company. We value people skills as much as technical skills and strive to keep things friendly while still being passionate leaders in our domains., • We have a flexible work policy that includes 3 days in-office and 2 days work-from-home each week for those located near our office locations; some locations such as Dubai, India, Japan and Australia operate fully remotely., • We have a growth mindset. We love learning and believe continuous education is critical to our success. In an ever-changing industry, new skills are necessary, and we're happy to help our team acquire them., • As the leader in our field, our products and services are as strong as our internal team members., • Flexible comprehensive employee benefit package that is 90% paid by the company., • We encourage usage of our robust time-off allocations., • We offer an exciting 401(k) plan that has a 4% match, fully vested on day one of participation., • Generous discretionary Company Growth Bonus, paid annually., • Fully paid parking in the heart of downtown Austin, Texas., • Global workforce with employees in 20+ countries representing 35+ unique nationalities. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. About the Opportunity At Klaviyo, the Sales team prides themselves on being marketing and product experts. While most companies hire pre-sales Solutions Engineers to just give demos, fill out questionnaires, and only explain setups, that makes us yawn. We're looking for a Lead Solutions Engineer who brings deep technical mastery, strategic thinking, and the ability to own the most complex, high-stakes Large-Enterprise deals. This is a high-impact individual contributor role for someone who gets energized by ambiguity, rolls up their sleeves to master our product at a molecular level, and uses AI and automation to punch above their weight. As an L3 Lead SE, you'll be a trusted advisor to both customers and our sales organization - leading technical strategy in 6-7 figure deals, owning solution design, and setting the standard for SE excellence through your work What We Do as Solutions Engineers We're technical sellers who drive revenue by winning complex Enterprise deals. Our job is to lead the technical win - building champions, proving value, and ensuring prospects choose Klaviyo over the competition. We work directly with customers to architect solutions that integrate seamlessly into their tech stacks, taking a consultant-first approach that builds confidence and secures technical buy-in. Beyond closing deals, we use customer engagements as opportunities to prototype and ship improvements to Klaviyo. Recent team projects include: AI-powered demo data generators, a public Chrome extension for troubleshooting API calls, web SDK injectors, and templatized mobile apps for showcasing our SDK capabilities. If you're a creator excited by winning high-stakes deals, prototyping technical solutions, and driving strategic revenue outcomes - this could be for you. How You'll Make a DifferenceLead the Technical Win in High-Stakes, Complex Deals • Own technical strategy for the most complex Enterprise opportunities - navigating multi-layered stakeholder environments, competitive pressures, and sophisticated buying processes with minimal oversight, • Drive advanced technical discovery, uncovering nuanced pain points and proactively identifying differentiation opportunities, • Host technical workshops aligning solutions to business outcomes with executive presence and strategic communication, • Architect and execute Proof of Value plans that achieve technical selection over competition, • Partner with AEs on deal strategy, bringing competitive intelligence and industry expertise to influence outcomesBring Subject Matter Expertise and Industry Leadership, • Serve as a domain expert in marketing technology, CDPs, AI-driven personalization, analytics, and eCommerce, • Act as go-to resource for competitive and industry landscape questions, • Build strong R&D relationships, actively collaborating to drive positive outcomes and shape Klaviyo's roadmap, • Contribute high-impact content to the SA Learning Library and mentor peers through exampleOperate with Deep Technical Mastery and Innovation, • Become a complete expert in Klaviyo's platform from data pipelines and integration codebases to technical tradeoffs between implementations, • Develop broad, advanced familiarity with web development, APIs, cloud computing, and software development practices - confidently coaching experienced engineers on complex solutions, • Leverage AI tools and automation to scale your impact and deliver better customer outcomes, • Prototype solutions and build proof-of-concepts that demonstrate Klaviyo's differentiationWho You AreRequired:, • 7+ years in Solutions Engineering or Pre-Sales - with 3+ years leading technical strategy in high-complexity Enterprise deals (6-7 figures) with minimal oversight, • 5+ years across modern development stacks: Python, JavaScript frameworks (Node.js, React), RESTful APIs, SQL, mobile development exposure, • Familiarity with AI-assisted development tools (Codex, Claude Code) and emerging patterns like MCP, • Strong domain knowledge in marketing automation, CDPs, eCommerce systems, analytics, or data engineering, • Advanced discovery and requirements gathering skills - navigating multi-layered stakeholder environments, • Executive presence and exceptional communication - impressing prospects from executive to developer level, • Demonstrated ability to handle challenging conversations, manage objections, and deliver strategic insightsWhat Sets You Apart:, • You've used AI to scale effectiveness - automation, research, solution design, or development, • You bring deep competitive intelligence and know the landscape intimately, • You've built strong R&D relationships and drive outcomes through influence without authority, • You roll up your sleeves - you dig in, figure it out, and become the expert, • You've elevated team performance through your example and enablement contributions, • You thrive in ambiguity and fast-moving environments #LI-CR1 #LI-Hybrid We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$156,800—$235,200 USD Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job DescriptionWho We AreArrive Logistics is a leading transportation and technology company in North America, with plans to continue to significantly grow year over year. Our success is a testament to our remarkable team and what we are building together. We’re committed to providing employees with a meaningful work experience and have established an award-winning culture that supports personal and career development in a fun, casual, and collaborative environment. There has never been a more exciting time to get on board, so read on to learn more and apply today! Who We WantAs a Senior Machine Learning Engineer at Arrive, you will serve as a key technical leader, responsible for defining, advancing and executing our overall ML platform strategy. This role also requires driving, contributing to, and maintaining the quality and functionality of crucial roadmap projects. These initiatives may vary from serving models scalably to building ML-powered services focused on maximizing profit. What You’ll Do • Design, build, and maintain scalable ML systems and infrastructure using Python, Postgres, and Elasticsearch., • Lead sprints, conduct rigorous code reviews, and set the "gold standard" for ML engineering practices across the organization., • Actively mentor junior and mid-level engineers, fostering a culture of technical excellence and professional growth., • Partner closely with other Machine Learning Engineers, Product Managers, Data Scientists, Data Engineers, and Product Engineers to ensure the successful delivery of strategic and roadmap initiatives, • Independently and with relatively little oversight, own systems throughout the software development lifecycle, from design to development, deployment and monitoring., • Maintain and improve performance of existing data systems and processes while balancing maintainability, observability and readability., • Participate in an on-call rotation where you will support incidents and questions about service behavior from product managers., • Demonstrate a deep sense of ownership by developing a thorough understanding of a domain. At the same time, you must be able to explain the behavior of and contribute to code bases that may be outside your domain., • Proactively propose solutions to gaps or risks in process, technology, software design and architecture, • Provide rigorous and detailed code reviews that uphold team standards, testing and software design best practices, • Foster a culture of constant improvement and growth, engineering excellence, humility, positivity and curiosity. Take a lead role in making our two days in the office productive and engaging, fostering face-to-face mentorship and collaborative whiteboarding sessions., • In partnership with other leaders, establish best practices across the organization and drive the organization’s standards within the team, leading by example.Qualifications, • Bachelor’s degree in Computer Science, Engineering, or a related field or equivalent professional experience., • 5+ years of experience with ML ops, model serving and optimization. Experience with Chalk and Snowflake is a plus., • 5+ years of experience with Python, object oriented programming and building highly scalable backend services., • Expertise in frameworks like Sklearn, Pandas, Numpy. Bonus points if well versed in Huggingface, Tensorflow, Pytorch, Langchain and Langsmith., • 3+ years of experience with relational databases, • 2+ years in a lead or senior-level capacity, • 2+ years of experience designing maintainable and scalable systems, • Proven expertise in system design with a focus on distributed systems and event-driven architectures, • Experience developing cloud-native dockerized applications in Kubernetes, • Experience working with online experimentation and platforms like Statsig, • Understanding of both traditional machine learning and deep neural networks, • Strong communication skills with the ability to articulate, diagram and document complex ML or engineering concepts., • Strong analytical, problem-solving, decision-making, and interpersonal skills., • Strong project management and organizational skills with experience identifying project milestones to ensure timely project delivery., • You are a self-starter who can deliver projects independently, yet you also thrive in collaborative environments. You recognize the value of diverse perspectives in developing optimal solutions and consistently demonstrate a willingness to support colleagues as a strong team player., • You approach software engineering as a craft, balancing the pursuit of clean, maintainable code with the demands of a fast-moving, dynamic business environment. You collaborate effectively with product managers and leadership to choose development paths that minimize technical debt while ensuring the timely delivery of high-quality products. While you have a strong drive for innovation, you also recognize the critical need to stabilize and harden existing products and services., • You find genuine joy in helping others level up their skills and navigate their career paths. You view peer reviews as a powerful tool for technical mentorship and can provide feedback in a constructive manner., • You are able to translate ambiguous and amorphous ideas or problems into concrete projects or initiatives while getting buy-in from engineering, data science, data engineering or product management partners., • You believe that while remote work is functional, in-person collaboration is where the "magic" happens. You are excited to help shape the energy of our physical workspace., • You take initiative to go beyond current responsibilities and actively seek new challenges., • You are passionate about building high impact ML and data driven products.The Perks of Working With Us, • Take advantage of our comprehensive benefits package, including medical, dental, vision, life, disability, and supplemental coverage., • Invest in your future with our matching 401(k) program., • Build relationships and find your home at Arrive through our Employee Resource Groups., • Enjoy office wide engagement activities, team events, happy hours and more!, • Leave the suit and tie at home; our dress code is casual., • Work in the booming city of Austin, TX – we are in a convenient location close to the airport and downtown., • Park your car for free on site!, • Start your morning with a specialty drink from our fully stocked coffee bar, Broker’s Brew., • Sweat it out with the team at our onsite gym., • Maximize your wellness with free counseling sessions through our Employee Assistance Program, • Take time to manage your physical and mental health - we offer company paid holidays, paid vacation time and wellness days., • Receive 100% paid parental leave when you become a new parent., • Get paid to work with your friends through our Referral Program!

Job Description The Role: As a full-stack engineer at Ownwell, you'll be at the forefront of shaping our digital landscape, crafting seamless user experiences across our platform. You'll develop and refine the technology that underpins our leading-edge real estate services, from delightful front-end user interfaces to robust back-end systems. Your work will directly impact marketing, product, and operations, bridging the gap between complex data and user-friendly web applications. If you're passionate about building scalable web solutions and collaborating with a team of talented engineers to solve challenging problems, then this is the role for you! Responsibilities: • Serve as a key player in web application development, focusing on both front-end user interfaces and back-end server-side logic., • Design, develop, and maintain dynamic web applications, ensuring responsive design and cross-browser compatibility., • Integrate third-party APIs and services to enhance web functionality and user experience., • Continuously improve application performance, monitoring, and scalability., • Implement secure, efficient code and RESTful services within cloud-based environments like AWS, ensuring best practices for web development., • Stay up-to-date with development standards, web design trends, and best practices to ensure high-quality software development., • Understand business processes comprehensively to ensure software solutions effectively meet operational needs and improve efficiency., • Take ownership of the software development lifecycle, including analysis, design, development, and code reviews, to maintain high standards of software quality., • Proactively identify and mitigate risks, enhancing security and data protection measures across web applications.Requirements:, • 4+ years of professional experience in full-stack web development., • Demonstrated experience with web development technologies, including HTML, CSS, JavaScript, TypeScript, and React., • Basic knowledge of SQL, including fundamental operations like creating tables, writing simple queries, and performing basic data manipulation. Understanding of relational database principles is expected, but deep SQL expertise is not a requirement., • Understanding of RESTful API development and consumption., • Entrepreneurial culture. Own your career; we are here to support you in the journey., • Access to First Round Network to build your community outside of Ownwell., • Flexible PTO. We believe in giving you the flexibility to own your time off. In addition to flexible time off, you will get 11 company holidays. We offer the last week of the year to recharge and reset., • Competitive health benefits. We care for you and your family's health, as reflected in our benefits coverage., • Learning support through a $1,000 stipend per year to enable investing in your individual learning needs., • Supporting parental journey. We offer up to 16 weeks of fully paid parental and bonding leave to support your journey as a new parent.

Job DescriptionCompany Description Renesas is seeking a SoC/IP Verification Engineer for our Infrastructure Power team in Austin, TX, where we develop the most advanced digital power ICs in the industry. We have high caliber talent covering all disciplines of IC development co-located in our Austin design center. You will work alongside the full spectrum of contributors to your products, including marketing, applications, logic design, analog design, firmware, verification, validation, software, product, and test engineers. You will architect, design, and maintain verification systems for integrated circuits that supply power to the largest and most powerful advanced computing platforms. Your contributions will span low level circuits to large system design, and you will see those systems all the way through to high volume manufacturing. In this role, you will use your design and verification expertise to verify complex power management IC designs collaborating closely with design and verification engineers in active projects and perform hands-on verification. Using your System Verilog coding and problem-solving skills, you will build efficient and effective constrained-random verification environments that exercise designs through typical and corner-cases to uncover design errors. You will be responsible for the full life cycle of verification, from verification planning to test execution, to collecting and closing coverage Job Description • Plan the verification of complex SoC & design blocks by fully understanding the design specification, • Interact with design/system engineers to identify important verification scenarios, • Create and enhance constrained-random verification environments using System Verilog., • Create and support UVM compliant test-bench architecture, • Formally verify designs with SVA and industry leading formal tools, • Identify and write various coverage metrics for stimulus and corner-cases, • Build reusable DV infrastructure components for both block and top-level environments, • Debug tests in collaboration with design engineering staff, • BS/MSEE & relevant work experience, • 8+ years minimum experience with System Verilog, SVA and functional coverage, • Deep understanding of event-driven simulator-based modeling techniques, • Advance knowledge of mixed signal concepts and digital-analog interfaces, • Developed and executed several comprehensive SoC and block level verification plans, • Worked on commercially successful IC’s, • Strong problem-solving abilities, • Clear written and verbal communications, including code documentation Preferred: • 5-12 years of relevant experience in the design and/or verification of mixed signal and digital IC’s, • Experience in the verification of power management ICs, high speed interfaces, or peripheral controllers, • Strong knowledge of VIP integration of High-speed interface protocols, • Experience in SVRNM modelling and verification, • Prior experience in the development of verification strategy, test design, and test infrastructure, • Proficiency with a scripting language like Python/Perl, • Familiarity with FPGA emulation techniques, • Understanding of firmware (C language) based test routines to run on embedded MC Additional Information Renesas is an embedded semiconductor solution provider driven by its Purpose ‘To Make Our Lives Easier.’ As the industry’s leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse team of over 22,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, ‘To Make Our Lives Easier.’ At Renesas, you can: • Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things., • Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people’s lives easier, safe and secure. Join Renesas. Shape Your Future with Us. Renesas Electronics is an equal opportunity and affirmative action employer, committed to celebrating diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by federal, state or local law. For more information, please read our Diversity & Inclusion Statement. Renesas Electronics deals with dual-use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas. We have adopted a hybrid model that gives employees the ability to work remotely two days a week while ensuring that we come together as a team in the office the rest of the time. The designated in-office days are Tuesday through Thursday for innovation, collaboration and continuous learning.

Job DescriptionCompany Description Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world. Progress starts with you. Job Description Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you’ll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. While building components of powerful payment technology, you will get to see your efforts shaping the digital future of monetary transactions. The Work itself: • Design code and systems that touch 40% of the world population while influencing Visa’s internal standards for scalability, security, and reusability, • Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings, • Actively contribute to product quality improvements, valuable service technology, and new business flows in diverse agile squads, • Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions., • Leverage innovative technologies to build the next generation of Payment Services, Transaction Platforms, Real-Time Payments, and Buy Now Pay Later Technology, • Demonstrates relevant technical working knowledge to understand requirements., • Applies standard processes on the use of programming languages (e.g. HTML, C++, Java) to write code that fulfills website modification requests and technical requirements., • Collaborates with others to support the piloting of new technology capabilities and features that enhance the user website experience across e-commerce products., • Analyzes bugs for simple issues and applies debugging tools to verify assumptions., • This role requires quick troubleshooting and problem solving skills, logical thinking, and application of programming techniques to design, build, and maintain solution for clients. Deep knowledge of computer science fundamentals, mobile & web technologies, multi-tiered architecture and experience in tools development. Basic Qualifications: 5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Preferred Qualifications: Experience with web services standards and related technologies (HTTP, Spring, XML, JSON, REST, JERSEY) Strong foundation in computer science, with strong competencies in data structures, algorithms and software design patterns Experience programming in Java Experience working with a variety of Application Servers Experience building tools and software libraries towards instrumentation or monitoring needs Demonstrated proficiency in troubleshooting, and root-cause analysis A go-getter who is not overwhelmed by new technology, tight timelines, or parallel projects Thrives in a fast-paced environment and flexible to work with distributed global teams and willing to support clients globally Excellent written and verbal communication skills, interpersonal and presentation skills, and proven ability to influence and communicate effectively Strong practitioner of Visa's Leadership principles Experience in payments tech / banking system software Fluency in Spanish is must The Skills You Bring: Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale Challenge the Status Quo: Comfort in pushing the boundaries, ‘hacking’ beyond traditional solutions Language Expertise: Expertise in one or more general development languages (e.g., Java, C#, C++) Builder: Experience building and deploying modern services and web applications with quality and scalability Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc. Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for this position is 131,600.00 to 210,300.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Job Description Location: Austin, Texas Position Overview: We are looking for a skilled and proactive Project Manager with a strong background in leading private land development projects within the City of Austin and surrounding jurisdictions. The ideal candidate has deep familiarity with local zoning codes, navigating the entitlement processes, permitting workflows, and can confidently lead a team through the unique challenges of development in this region. Beyond technical expertise, we’re seeking someone who is a natural team leader and mentor. They should take pride in developing junior staff, fostering a collaborative and supportive team environment, and helping others grow in both technical and professional capacities. This role is ideal for a licensed Professional Engineer who thrives on managing complex projects, leading diverse teams, and contributing to a growing firm where your input directly shapes the way we operate and deliver value to our clients. Key Responsibilities: • Oversee all project phases including entitlement, due diligence, site planning, site / utility design, permitting, bidding, and construction administration., • Provide technical guidance, quality assurance, and task planning to ensure the team delivers high quality deliverables on schedule., • Serve as the primary point of contact for clients, project delivery team, subconsultants, and jurisdictional review staff., • Build and uphold a strong professional reputation by serving as a trusted advisor to clients and consultant partners through technical excellence, professionalism, and a consistent commitment to accountability, honesty, and transparency., • Utilize project accounting software (such as Ajera) to track team productivity, budgets, schedules, and process invoices., • Identify opportunities to streamline tasks or implement new tools to improve project delivery or internal team operations., • Cultivate a professional team environment that empowers junior staff to take initiative and supports learning through experience. Qualifications:, • BS in Civil Engineering., • Licensed Professional Engineer (PE) in Texas and in good standing (required)., • 6+ years of experience in civil engineering, with at least 2 years managing land development projects., • Experience with design and modeling software such as HEC-HMS, HEC-RAS (1D and 2D), SWMM, InfoWorks, and Civil 3D., • Strong communication and leadership skills., • Passion for mentoring and professional growth — seeing the success of others as a key measure of personal success., • Entrepreneurial mindset with a solution-driven approach to technical challenges and project execution. Preferred Skills:, • Emotional intelligence and the ability to lead with clarity and empathy., • Strong communication skills, including the ability to provide constructive feedback and resolve conflicts., • Proficient in managing multiple priorities and adapting to change., • Comfortable attending marketing events and developing a professional network., • Proficient in design principles of land development., • Experience with task management and utilizing accounting software. What We Offer:, • Competitive salary., • Performance-based bonuses., • Flexible and hybrid work schedule., • Employer-paid healthcare., • 401(k) with company matching., • PTO and paid sick leave., • Support for continuing education and licensure., • Annual company retreat., • Clear pathways for career advancement and leadership opportunities., • Professional development support, training programs, and mentorship opportunities.

Job DescriptionWho is Sonar? Sonar helps prevent code quality and code security issues from reaching production, amplifies developers' productivity in concert with AI assistants, and improves the developer experience with streamlined workflows. Sonar analyzes all code, regardless of who writes it — your internal team, genAI, or third parties — resulting in more secure, reliable, and maintainable applications. Rooted in the open source community, Sonar’s solutions support over 30 programming languages, frameworks, and infrastructure technologies. Today, Sonar is used by +7M developers and 400K organizations worldwide, including the DoD, Microsoft, NASA, MasterCard, Siemens, and T-Mobile. We believe in developing great products that are supported by great internal teams and a strong culture. We are highly committed to and obsessed with the company, users, each other, and our open source community. We have high standards and hold each other accountable for acting with positivity, dedication, thoughtfulness, empathy, and passion daily. We are deliberate with our decisions with high clarity of intention. At the same time, we feel extreme urgency and move forward quickly. And lastly, we are highly effective and operationally efficient. We operate collectively as One Team to accomplish our goals. At Sonar, CODE is more than just an acronym – it's a mindset that defines daily operations. Why You Should Apply: At Sonar, we’re a group of brilliant, motivated, and driven professionals working hard to help supercharge developers to build better, faster. Sonar helps to continuously improve code quality and code security while reducing developer toil. This means that developers can focus on doing more of what they love and less of what they don’t. Our solutions don’t just solve symptoms of problems – we help fix issues at the source – for all code, whether it's developer-written, AI-generated, or from third parties. We have a dynamic culture with employees worldwide and hub offices in the USA, Switzerland, the UK, Singapore, and Germany. Team members should be able to come to work every day, work on a product they are proud of, love what they do, and feel energized by their peers. With our roots deep in the open source community, we’re all about the mission: supercharge developers to build better, faster. The Impact You Will Have: As a full stack engineer at Sonar, you will deliver end‑to‑end product features across backend services and web frontends that directly improve key user and business outcomes. You will help evolve your squad’s architecture to ensure it remains reliable, performant, and secure as we scale. You will raise the engineering bar through high standards for code quality, automated testing, and delivery practices. You will operate as an AI-native engineer who uses AI tools programmatically - accelerating routine tasks while maintaining full ownership of design, correctness, and security.What You Will Do Daily: • Design and implement features across the stack: backend services and APIs, frontend components and flows, and the integration between them., • Collaborate with Product Managers, UX designers, and other engineers to clarify problems, propose solutions, and break the work into incremental, shippable slices. As the work is done, you will also help raise awareness of problems across the team., • Own the delivery lifecycle of your work: automated tests, CI pipelines, deployment, and follow‑up on metrics and production behavior., • Use AI assistants pragmatically to speed up low‑level tasks (boilerplate, refactorings, test scaffolding) while keeping full responsibility for architecture and quality., • Review code and participate in design discussions, providing clear and constructive feedback - including on AI‑generated code., • Improve the systems and pipelines that allow AI-generated code to be safely integrated into production., • Identify and tackle pragmatic refactoring opportunities and technical debt to improve maintainability, performance, or developer experience., • Mentor teammates in both technical excellence and effective AI-native workflows., • Share responsibility for service availability with your team, collaborate with customer facing teams to investigate issues, and participate in on call rotations.The Experience You Will Need:, • 5+ years of experience building and operating web‑based products in production cloud environments., • Strong backend skills in Java (our core backend language) or an alternative backend focused language, such as Go or Python., • Experience designing, implementing and consuming HTTP APIs., • Solid frontend experience with a modern JS/TS stack (e.g., React or similar), including component design, state management, and testing., • Familiarity with databases and web infrastructure (relational storage, caching, messaging queues, REST/JSON, AuthN/Z)., • Experience architecting cloud-native applications., • Hands-on experience with automated testing, CI/CD and observability practices., • Experience evaluating and integrating AI‑assisted development tools into your workflow while maintaining high quality and security standards., • Extensive hands-on experience with experimentation, incorporating customer feedback into the development cycle., • Ownership and accountability: You feel responsible for the long‑term health and correctness of what you ship, whether written by you or generated with AI assistance., • Collaborative by default: You communicate with clarity, seek alignment early, and view candid feedback as a tool for growth., • AI‑native mindset: You treat AI tools as collaborators—not oracles—validating their output, understanding their limits, and using them to focus on higher‑value design and problem‑solving., • Pragmatic and incremental: You balance architectural excellence with the need to deliver value quickly and iteratively.Why You Will Love It Here:, • Our culture and mission set us apart. We have a dynamic work culture that values respect and kindness and embraces the right to fail (and get right back up again!)., • Great people make a great company. We value people skills as much as technical skills and strive to keep things friendly while still being passionate leaders in our domains., • We have a flexible work policy that includes 3 days in-office and 2 days work-from-home each week for those located near our office locations; some locations such as Dubai, India, Japan and Australia operate fully remotely., • We have a growth mindset. We love learning and believe continuous education is critical to our success. In an ever-changing industry, new skills are necessary, and we're happy to help our team acquire them., • As the leader in our field, our products and services are as strong as our internal team members., • Flexible comprehensive employee benefit package that is 90% paid by the company., • We encourage usage of our robust time-off allocations., • We offer an exciting 401(k) plan that has a 4% match, fully vested on day one of participation., • Generous discretionary Company Growth Bonus, paid annually., • Fully paid parking in the heart of downtown Austin, Texas., • Global workforce with employees in 20+ countries representing 35+ unique nationalities. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionCompany Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa Technology & Operations LLC, a Visa Inc. company, needs a Sr. ML Engineer (multiple openings) in Austin, TX To: • Architect, design, build, develop, test, and/or implement software systems and/or applications., • Conduct business and technical analysis, code reviews and unit testing, and implement and produce technical documentation of solutions for new development, system enhancements, and production support., • Design, develop and implement modifications and corrections to existing software, including the development of debugging routines., • Serve as an integral part of the Data Science product development team, investigate new requirements, and design and refactor existing functionality for performance and maintainability., • Collaborate with project team members (Product Managers, Architects, Analysts, Developers, Project Managers, etc.) to ensure development and implementation of new data driven business solutions., • Contribute in delivery of high-quality solutions that conform to requirements and the architectural vision and comply with all applicable standards., • Engage in requirements definition and clarification in collaboration with Business to ensure completeness and common understanding; deep understanding of the business needs is important., • Facilitate design reviews to provide input on functional requirements, product designs, schedules, or potential problems., • Facilitate code reviews with team members and third-party vendors. Review and assess impact of proposed scope changes on assigned deliverables. Work with other engineering teams to facilitate a common approach to continuous integration that includes build automation, test automation, and deployment automation., • Collaborate with senior technical staff and PM to identify, document, plan contingency, and track and manage risks and issues until all are resolved., • Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner., • Position reports to the Austin, Texas office and may allow for partial telecommuting.Qualifications Basic Qualifications: Employer will accept a Master's degree in Computer Science, Computer Engineering, Information systems or related field and 2 years of experience in the job offered or in a Sr. ML Engineer-related occupation. Position requires experience in the following: • Knowledge of Creational, Structural, Behavioral and Concurrency and understanding of ML algorithms (XGBoost, KNN, SVM, LSTM, Transformers, PCA and other deep learning models), • Statistical computer programs for Machine Learning, Deep learning and natural language processing – Python, Tensorflow, SkLearn, SOLAR, SAS, MatLab, CUDA and GPU Acceleration, • Development of generic fraud detection systems using GANs, GNNs, DBSCAN clustering, • Pandas, NumPy, and SQL, as well as Matplotlib and Seaborn, • Bigdata technology stack: Hadoop and MapReduce, Spark, Pig, Impala, Kafka, • ML cloud services using AWS, Azure or GCP, • OWASP, static/dynamic analysis, and common security tools, • Oracle, MySQL, HBase, Cassandra, Hive, MongoDB, • Development utilizing Java/J2EE/JavaScripts and in using Java Web Application framework including Spring, Hibernate and Data JPA, • Web services standards and related technologies (XML, JSON, Rest, and SOAP) Additional Information Worksite: Austin, TX Travel Requirements: This position does not require travel Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. U.S. APPLICANTS ONLY: The estimated salary range for this position is $130,700.00 USD to $202,300.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Job DescriptionSenior Full Stack Engineer About ShipperHQ: ShipperHQ is a trusted leader in the e-commerce shipping space, with over 15 years of experience helping merchants deliver better checkout experiences. Founded in 2009, we power shipping logic and checkout optimization for thousands of brands, from DTC disruptors to enterprise retailers, in 150+ countries. Based in Austin with a global team, we’re a fast-moving, product-led company shaping the future of e-commerce logistics. Responsibilities: • Architectural Design & Strategy: Define the blueprint for complex features, ensuring that the underlying logic is sound before a single line of code is generated., • AI Orchestration & Audit: Utilize AI tools to accelerate the implementation phase while spending your brain power on meticulous code reviews. You are the final gatekeeper, spotting drift that automated tools might miss., • TDD-Led Development: Drive development through a test-first mentality. You will define the testing requirements and structure that validate every feature, ensuring code meets our strict functional and performance benchmarks., • Define the Standard: Establish and enforce uniform code structures and standards for our codebases. You ensure that even with AI assistance, our codebase remains clean, readable, and consistent., • At least 7 years of commercial full-stack software development experience with deep foundational knowledge required to judge the quality of code at a glance., • Work daily with AI-assisted tools to speed up feature delivery and improve code quality. You should be an expert at prompting for complex architectural patterns and refining AI output in real-time., • A disciplined commitment to Test-Driven Development. You understand that in an AI-heavy workflow, the test suite is the most important documentation you own., • Strong experience in software design patterns and object-oriented programming. You know how to build for the long term., • Exceptional problem-solving skills, strong analytical capabilities, and excellent communication abilities., • A proactive approach to challenges, coupled with the ability to propose innovative and pragmatic solutions., • Experience in high-traffic, SaaS, or e-commerce platforms is highly valued., • Startup or small company environments, • Experience with integrating with Shopify This is a highly fast-paced environment where no two days will look alike. For the right candidate, with the right attitude, there are fantastic opportunities for career progression. We are an agile, fast-moving team that likes to roll up our sleeves and solve some of the biggest issues in shipping. You will learn more at ShipperHQ in a year than you would in 3 years at other companies, thanks to our collaborative learning culture that fosters continuous growth and innovation. Benefits and Perks: • Collaborate with a motivated team, directly tying your results to organizational success, • 22 days of PTO plus public holidays, • 401k Match, • Medical, Dental, and Vision Insurance, • Maternity and Paternity Leave, • This is a hybrid, full-time position working out of our Austin, TX office in the Arboretum Area Powered by JazzHR 2BxhxKiE3v

Job DescriptionShowcase transformative AI. Shape smarter customer experiences. Have you ever wanted to help enterprises understand what cutting-edge AI can truly unlock for their customer experience? As our Senior Solution Engineer, you'll partner closely with prospects to uncover their needs, frame the right solution, and demonstrate the unique value Coveo brings to the world of Service & Knowledge. You'll join a passionate Sales team that thrives on collaboration, creativity, and consultative expertise. If you love turning complex technology into crisp, compelling value, and winning alongside people who care, this role will feel like home. As one of our Senior Solution Engineers, you will: • Guide prospective customers in understanding, comparing, and evaluating Coveo's Service & Knowledge solutions to support confident buying decisions., • Conduct deep technical discovery to assess fit, capture requirements, uncover risks, and respond to technical and security-related questions throughout the evaluation., • Build and deliver tailored demos that highlight relevant capabilities, differentiators, and clear business value in competitive environments., • Lead technical components of Proofs of Concept and serve as the technical owner for RFIs/RFPs, collaborating cross-functionally to position Coveo for success., • Act as a trusted advisor by providing strategic guidance on AI-powered digital transformation and aligning our capabilities with long-term customer outcomes., • Build durable, trust-based relationships with stakeholders while representing Coveo at select events, conferences, and industry engagements.Here is what will qualify you for the role:, • 6+ years of experience as a Presales professional (Solution Engineer, Sales Engineer, Solution Consultant) with strong demo, POC, and competitive positioning practices., • Experience supporting CX, customer service, support, or knowledge management use cases; familiarity with platforms like Salesforce Service or Data Cloud, SAP CX, or Genesys is an asset., • Working knowledge of AI, machine learning, and search-related models (query suggestions, generative answering, etc.)., • Programming familiarity (Python, JavaScript) and experience working with APIs (e.g., Postman)., • Ability to navigate medium and large enterprises with ease — stakeholders, processes, and decision structures., • A consultative mindset backed by excellent storytelling and technical communication skills., • Experience representing the voice of the customer to product teams. Send us your application, we want to hear from you! Join the Coveolife! Coveo is an Equal Employment Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability status, marital status, gender identity, or veteran status.

Job Description About us: Working at Tech Holding isn't just a job, it's an opportunity to be a part of something bigger. We are a full-service consulting firm that was founded on the premise of delivering predictable outcomes and high-quality solutions to our clients. Our founders and team members have industry experience and have held senior positions in a wide variety of companies – from emerging startups to large Fortune 50 firms – and we have taken our combined experiences and developed a unique approach that is supported by the principles of deep expertise, integrity, transparency, and dependability. The Role: We are seeking a talented Machine Learning Engineer, for a project-based assignment, with 5+ years of experience to join our growing engineering team. In this role, you will design, build, and deploy machine learning models that power data-driven products and insights across the organization. You will work at the intersection of machine learning, data engineering, and scalable systems to deliver reliable and high-performing ML solutions. Key Responsibilities: • Design, develop, and deploy machine learning models to solve business problems across large-scale datasets., • Build and optimize machine learning pipelines for data preparation, model training, and inference., • Collaborate with data engineers and software engineers to develop scalable ML infrastructure and pipelines., • Research and implement modern machine learning techniques, including deep learning and large language models where appropriate., • Work closely with product and cross-functional teams to translate business requirements into technical solutions., • Deploy and maintain machine learning models in production environments., • Monitor model performance, conduct experiments and A/B testing, and continuously improve model accuracy and reliability., • 5+ years of professional experience in machine learning engineering or a related role., • Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX., • Experience building, training, and deploying machine learning models in production environments., • Experience working with data pipelines and large-scale datasets., • Proficiency with cloud platforms (AWS, GCP, or Azure) and familiarity with MLOps practices., • Strong understanding of data structures, algorithms, and software engineering principles., • Experience with large-scale data processing frameworks (Spark, Dask, or similar)., • Experience working with natural language processing, computer vision, recommendation systems, or other applied ML domains., • Familiarity with model deployment, experiment tracking, and model monitoring tools., • Experience working with distributed systems and scalable ML infrastructure., • Exposure to modern techniques such as transformer architectures, embeddings, or large language models., • Remote Work OpportunitityEmployment type:

Job DescriptionThe Opportunity We are a fast-paced B2B chemical eCommerce distributor looking for a "hands-on" Chemical Product Manager to serve as the connective tissue of our business. In this role, you are the "Everything Product" lead. This isn't a lab role; it's an operational powerhouse role. You will bridge the gap between technical chemical data and commercial execution. We need someone with a strong technical foundation in chemistry (Chemists are encouraged to apply!) who wants to apply that expertise to supply chain strategy, regulatory compliance, and digital excellence. In this role you'll work closely with the CEO and Chemist to continuously build out our product road map and work cross functionally to successfully launch new products. Responsibilities: What You'll Do Your success will be measured by the agility and health of our product portfolio, ensuring every SKU is optimized for performance and seamlessly integrated into our global operations. Product & Supplier Lifecycle Management • Lead product launches and integration: Orchestrate high-impact product introductions by synchronizing workflows across Operations, Marketing, IT, and Customer Relations to ensure every launch is flawless and every department is aligned., • Cross-functional collaboration: Work closely with the CEO and Chemist to translate product vision into actionable plans, and collaborate effectively with Operations, Customer Relations, Finance, Marketing, and IT to ensure successful product initiatives., • Centralize Product Intelligence: Act as the single source of truth for all product data. You will oversee the integrity of our eCommerce product pages, manage all related documentation, and ensure accuracy in physical packaging labels, including the generation of final label PDFs., • Champion customer satisfaction: Serve as the vital link between Customer Relations, Quality, and Supply Chain. You will advocate for the customer by translating feedback into vendor-side improvements, coordinating with the Quality team to resolve root-cause issues, and ensuring internal stakeholders are fully briefed on resolution paths., • Must-Haves:, • 3+ years of progressive experience in Product Management, Product Development, or a related role within a company managing a significant SKU count (ideally 500+ SKUs)., • Chemical Background - either a degree in Chemistry or related field or prior deep experience in chemicals., • B2B Mindset: Understanding of the industrial/commercial buying cycle and the technical requirements business customers expect., • Data Integrity: A "zero-error" mindset. When dealing with chemicals and B2B shipping, the technical data on our website and labels must be 100% accurate., • Workflow Orchestrator: Proven ability to move a project through multiple departments (Operations, IT, Marketing) to get a product "shelf-ready" online., • Demonstrated experience in managing the full product lifecycle, from ideation and sourcing to launch and post-launch optimization., • Exceptional project management skills: Ability to manage multiple priorities, deadlines, and stakeholders effectively., • Analytical prowess: Proficient in leveraging product data, sales results, and market insights to drive strategic decisions and inform demand planning., • Excellent communication and interpersonal skills: Ability to clearly articulate complex information, influence stakeholders, and build strong relationships across all levels of the organization and with external partners., • Attention to detail: Meticulous in tracking supplies, managing product data, and ensuring accuracy across all product information., • Problem-solving aptitude: Capable of identifying issues and advocating for effective solutions., • Strong technical skills including inventory management platform experience and Excel or Google Sheets, • Nice-to-Haves:, • Degree in supply chain management, business administration, or similar fields Our core values are an integral part of our success defining who we are. We bring our core values to life in everything we do at Lab Alley. Therefore, every hire is aligned with our core values: CARE: We care about people and take pride in our work. COMMITMENT: We believe success is characterized by our commitment to continuous improvement. GENUINE: We believe in being real, authentic, and direct with those around us. GROWTH: Lab Alley encourages continual learning and leads with curiosity. INITIATIVE: To be successful, we always strive to make things happen! INNOVATION: Lab Alley is driven by a relentless pursuit of innovation, constantly seeking new ideas, technologies, and approaches to enhance the experiences of our customers. WORK ETHIC: We believe a strong work ethic is about being fully engaged, resilient, and focused on tasks to ensure each project receives attention and consideration. Beyond our work, we believe in giving back. With every purchase made through our e-commerce website, we partner with Ecodrive to plant a tree, contributing to a healthier planet and improved socio-economic conditions. Benefits & Logistics We invest in our team's well-being and growth: • Comprehensive Benefits: Medical, Dental, Vision, Short Term Disability, Life & Accidental Death & Dismemberment, Supplemental Health Insurance, Wellness Program, Employee Discount Program, Employee Assistance Program, • Financial & Time Off: 401k, Paid Time Off. Note: Lab Alley uses E-Verify for all positions and conducts background checks. Don't meet every single requirement? Studies have shown that members from some under-represented groups are less likely to apply for jobs if they don't meet every single qualification. At Lab Alley, we are dedicated to building a diverse and inclusive workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles, and we are excited about hearing from you. Lab Alley is an equal opportunity employer and considers all applicants for all positions without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected by law. Please note: Lab Alley is not accepting unsolicited resumes or candidate submissions from staffing agencies for this position. In the absence of a signed agreement with Lab Alley's People Operations leader, no fee will be paid for any candidates submitted by agencies. All unsolicited resumes will be considered the property of Lab Alley. Agencies should not reach out to our team members. To see if we are establishing new relationships with agencies you may send your information to

Job DescriptionWho is Sonar? Sonar helps prevent code quality and code security issues from reaching production, amplifies developers' productivity in concert with AI assistants, and improves the developer experience with streamlined workflows. Sonar analyzes all code, regardless of who writes it — your internal team, genAI, or third parties — resulting in more secure, reliable, and maintainable applications. Rooted in the open source community, Sonar’s solutions support over 30 programming languages, frameworks, and infrastructure technologies. Today, Sonar is used by +7M developers and 400K organizations worldwide, including the DoD, Microsoft, NASA, MasterCard, Siemens, and T-Mobile. We believe in developing great products that are supported by great internal teams and a strong culture. We are highly committed to and obsessed with the company, users, each other, and our open source community. We have high standards and hold each other accountable for acting with positivity, dedication, thoughtfulness, empathy, and passion daily. We are deliberate with our decisions with high clarity of intention. At the same time, we feel extreme urgency and move forward quickly. And lastly, we are highly effective and operationally efficient. We operate collectively as One Team to accomplish our goals. At Sonar, CODE is more than just an acronym – it's a mindset that defines daily operations. Why You Should Apply: At Sonar, we’re a group of brilliant, motivated, and driven professionals working hard to help supercharge developers to build better, faster. Sonar helps to continuously improve code quality and code security while reducing developer toil. This means that developers can focus on doing more of what they love and less of what they don’t. Our solutions don’t just solve symptoms of problems – we help fix issues at the source – for all code, whether it's developer-written, AI-generated, or from third parties. We have a dynamic culture with employees worldwide and hub offices in the USA, Switzerland, the UK, Singapore, and Germany. Team members should be able to come to work every day, work on a product they are proud of, love what they do, and feel energized by their peers. With our roots deep in the open source community, we’re all about the mission: supercharge developers to build better, faster. The Impact You Will Have: By joining Sonar, you will play a crucial role in enhancing SonarQube Cloud and SonarQube Server. You will provide teams and developers around the world with an exceptional experience, empowering them to develop better software. As part of the role, you will join an on-call rotation, ensuring that critical system issues are promptly addressed, thereby minimizing downtime and maintaining a seamless experience for our users.What You Will Do Daily: • Collaborate with Product Managers and UX designers to specify and design new features., • Participate in sprints with your team to deliver new features with a focus on the end user., • Maintain and enhance existing features, incorporating feedback from colleagues and the community., • Write comprehensive unit and integration tests to ensure code quality., • Conduct thorough code reviews and provide meaningful feedback to peers., • Contribute to the team's growth by improving tools and processes and by mentoring other engineers., • Engage with the community on product forums to offer support and gather insights., • Help solve production problems related to the team’s features.The Experience You Will Need:, • 5+ years of experience as a Front End Software Engineer., • 1+ year of experience as a Staff Engineer or equivalent level., • Excellent engineering skills and a good understanding of Computer Science fundamentals., • TypeScript Development: Demonstrated expertise in TypeScript, including a good understanding of its ecosystem and tooling., • Modern Front-End Frameworks: Proficiency with React (preferred) or other modern front-end frameworks, ensuring efficient and scalable user interfaces., • Leadership: you’re able to take initiative and bring a subject to completion with little to no supervision. You have experience supporting and mentoring other team members., • Source Code Quality: Commitment to high-quality code through comprehensive unit and integration tests and end-to-end tests, ensuring robust and maintainable software., • Excellent communication skills: ability to articulate ideas clearly and engage with diverse stakeholders., • A team player: always willing to help and support others, enhancing their autonomy., • Independent, proactive, and eager to learn., • Not afraid to step outside their comfort zone and contribute to other technical areasNice to have:, • REST API Design: Experience in designing and implementing RESTful APIs, facilitating seamless integration and communication between systems., • Full-Stack Development: Experience developing backends with Java., • Experience architecting cloud native applications on AWS.Why You Will Love It Here:, • Our culture and mission set us apart. We have a dynamic work culture that values respect and kindness and embraces the right to fail (and get right back up again!)., • Great people make a great company. We value people skills as much as technical skills and strive to keep things friendly while still being passionate leaders in our domains., • We have a flexible work policy that includes 3 days in-office and 2 days work-from-home each week for those located near our office locations; some locations such as Dubai, India, Japan and Australia operate fully remotely., • We have a growth mindset. We love learning and believe continuous education is critical to our success. In an ever-changing industry, new skills are necessary, and we're happy to help our team acquire them., • As the leader in our field, our products and services are as strong as our internal team members., • We embrace transparency with regular meetings, cascading messages and updates on the growth and success of our organization.Benefits of Working With Sonar:, • Flexible comprehensive employee benefit package., • We encourage usage of our robust time-off allocations. You will receive 23 days of PTO per calendar year (on a pro-rated basis depending on your employment start date), with additional time provided for sickness, life events and holidays., • We offer an exciting 401(k) plan that has a 4% match, fully vested on day one of participation., • Fully paid parking in the heart of downtown Austin, Texas., • Global workforce with employees in 20+ countries representing 35+ unique nationalities., • We have an annual kick-off somewhere in the world where we meet to build relationships and goals for the company. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Join the Origis Energy Team! Origis Energy is accelerating the transition to a carbon-free future by Reimagining ZeroSM. As one of America's leading renewable energy and decarbonization solution platforms, the company continues to expand and reimagine its contribution to the world's net-zero goals. Origis Energy puts customers first to deploy a wide range of sustainable solutions for grid power generation, performance optimization, and long-term operation of solar and energy storage plants across the U.S. Founded in 2008, Origis Energy is headquartered in Miami, FL. The Origis team, regarded as one of the leading developers in the U.S., is committed to living five core values in all interactions both with each other and external stakeholders: Solve for Tomorrow. A role with Origis Energy puts you at the forefront of the transition to clean energy. Are you ready to bring new ideas? Do you exist to find solutions? That's how we revolutionize energy and build a carbon-free future - through unmatched service and relentless innovation. Rise Together. To succeed here, you'll collaborate with others and work as one team, across various teams including solar and energy storage development, financing, engineering, procurement and construction (EPC) and operations, maintenance and asset management. Are you open to diverse perspectives and prepared to work seamlessly across disciplines to reach our collective goals? Perform at Peak. We're seeking team members who bring authentic energy and passion to every task. How can you use your natural strengths, genuine optimism and intelligence to make your greatest contributions to Origis? Inspire & Grow. The Origis team is comprised of knowledgeable, passionate solar and energy storage experts who bring deep expertise and solution-driven thinking to clients. A successful Origis team member encourages others and sets a high bar for growth. We have a culture of continuous improvement because each team member takes the role of both learner and mentor. Be Resilient. The spirit in which we tackle the energy challenges and objectives of our clients means we consistently stretch for the extra mile. We all take initiative and remain adaptable, overcoming obstacles by prioritizing respect. Position Description The Senior Data Engineer position, reporting to the Senior Business Systems Manager, will be responsible for design, build, and optimize our data infrastructure with a focus on Databricks, Python, and modern data engineering practices. This role will support data ingestion, transformation, and analytics across operational, financial, and production systems, enabling stakeholders to make informed decisions. Knowledge of JavaScript or front-end integration is a plus for enhancing reporting and user-facing tools. The Senior Data Engineer is a regular, full-time position, and is eligible for our generous employee benefits package, including employer paid health insurance, paid time off, a 401(k) plan with employer matching contributions, and other great benefits. Key Responsibilities • Develop, optimize, and maintain scalable data pipelines and ETL processes in Databricks., • Integrate data from diverse sources (plant SCADA systems, IoT devices, financial/ERP systems, market data, etc.)., • Write efficient, maintainable code in Python for data transformation, automation, and analytics., • Design and maintain Delta Lake, SQL-based transformations, and structured streaming workflows., • Implement data quality checks, monitoring, and governance to ensure accuracy and reliability., • Collaborate with data analysts, business stakeholders, and operations teams to deliver insights., • Support Power BI and other visualization platforms by preparing curated datasets., • Apply JavaScript to extend visualization capabilities or enhance web-based reporting tools., • Bachelor's or Master's in Computer Science, Data Engineering, or related field., • 3+ years of experience as a Data Engineer (preferably in energy, utilities, or industrial environments)., • Strong hands-on experience with Databricks (PySpark, Delta Lake, Delta Sharing, MLflow a plus)., • Proficiency in Python for data engineering and automation tasks., • Solid SQL skills for complex queries and data modeling., • Familiarity with cloud platforms (AWS, Azure, or GCP), especially in a data context., • Experience with CI/CD pipelines, Git, and Terraform for Databricks., • Familiarity with dbt, Airflow, or other orchestration tools., • Understanding of data privacy, security, and compliance principles (e.g., row-level security, encryption)., • Exposure to machine learning workflows and MLflow., • Occasional work during evenings/weekends for maintenance or upgrades. Location: Austin, TX - hybrid schedule (WFH Mon & Fri) Travel: N/A Job Level: Senior Engineer - no direct reports Origis Energy is an Equal Opportunity Employer (EOC). All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. We are committed to fostering, cultivating and preserving a culture of diversity, equity and inclusion. We embrace and encourage our employees' differences as that is what makes our employees unique. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment. More information is available here. California Applicants: Please review our California Privacy Policy and Notice at Collection. Request for Support or Accommodations: As part of our effort to provide equal opportunity to qualified disabled veterans and individuals with disabilities, we are happy to offer support and special accommodations in order for you to successfully reach us with your interest. Please reach out to us at if you would like to request help with your application.