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AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of Hardware in our data centers including technologies such as AWS Inferentia which is a machine learning inference product designed to deliver high performance at low cost. You’ll provide leadership in the application of new technologies to large scale deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you’ll work with thought-leaders in multiple technology areas. You’ll have relentlessly high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve our products' performance, quality and cost. We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. Key job responsibilities • Develop & maintain flows for block and full-chip level static timing analysis, • Write, debug & validate timing constraints for blocks and full-chip., • Run Static Timing Analysis and give frequent feedback to team members and leads., • Provide guidance on how to fix timing issues (generate ECOs, fix constraint issues)., • Develop scripts to automate running timing analysis and generate reports., • Be a highly-valued member of our start-up like team through excellent collaboration and teamwork with other physical design engineers as well as with the RTL/Arch. teams, • Experience scripting or coding, • BS + 6yrs or MS + 4yrs or PhD + 2yr in EE/CS, • Expertise in timing analysis fundamentals, • 1+ years doing Static Timing Analysis, • 1+ years with timing constraint development, • Timing Analysis using EDA tools (examples: PrimeTime, Tempus, or others), • Understanding of ASIC Physical Design from RTL-to-GDSII, • Understanding of other sign-off activities (ir/em, physical verification, DFT), • 1+ years of scripting experience with Tcl, Perl or Python, • Experience in mentoring, leading and coaching, • Expertise developing flows using STA tools (examples: PrimeTime, Tempus or others), • Expertise in ECO flows (examples: PT-DMSA, Tempus-ECO, Tweaker or others), • Experience in advanced nodes - 16nm or below, • Expertise in parasitic extraction tools (examples: STAR-RC, Quantus or others), • Expertise on circuit level analysis using tools like SPICE / SPECTRE, • Experience with timing of IO interfaces like DDR, HBM, PCIe, Die-to-Die etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit _ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, Cupertino - 176,600.00 - 247,300.00 USD annually USA, TX, Austin - 153,600.00 - 215,000.00 USD annually

Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. We’re looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs. Key job responsibilities As an ASIC Design Engineer, you will: • Develop and implement high-performance, area and power-efficient RTL designs to meet project specifications and targets, • Conduct in-depth analysis of designs, microarchitectures, and architectures to optimize trade-offs between features, power consumption, performance, and area requirements, • Create microarchitectures, implement SystemVerilog RTL, and deliver synthesis and timing-clean designs with appropriate constraints, • Execute lint and clock domain crossing quality checks to ensure design integrity, • Collaborate closely with cross-functional teams, including architects, fellow designers, verification specialists, pre- and post-silicon validation teams, and synthesis, timing, and back-end experts The ideal candidate will have a strong background in ASIC design, proficiency in SystemVerilog, and excellent analytical and problem-solving skills. Experience with high-performance and power-efficient designs is highly desirable. You will thrive in this role if you: • Have a "Learn and Be Curious" mindset, • Have familiarity with key components such as interconnects, DMAs, Memory sub-systems, accelerator engines, debug and system level architectures, • Have a strong drive to innovate, explore new solutions, and contribute to the company's intellectual property through patents About the team Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. We are open to hiring candidates to work out of one of the following locations: Cupertino, CA, USA | Austin, TX, USA • Bachelor's degree in Electrical Engineering or a related field, • Experience identifying bugs in architecture, algorithms, functionality, and performance with strong overall debugging skills, • Experience verifying at multiple levels of logic from IP blocks to SoCs to full system testing, • Master's degree in Electrical or Communications Engineering or a related field, • Experience with formal verification techniques including abstraction and end-to-end checking, • Experience with ARM and various DSP ISAs, • Experience with current and upcoming RF standards in cellular (4G/5G NR), WiMAX, 802.11ad, microwave backhaul, or related broadband wireless standards, • Experience with industry standard tools and scripting languages (Python or Perl) for automation Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit _ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, Cupertino - 176,600.00 - 247,300.00 USD annually USA, TX, Austin - 153,600.00 - 215,000.00 USD annually

Job DescriptionCompany Overview IDMe is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with IDMe once and seamlessly login across websites without having to create a new login and verify their identity again. Over 175 million users experience streamlined login and identity verification with IDMe at 22 federal agencies, 50 state government agencies, and more than 100 healthcare organizations. Over 600 consumer brands use IDMe to verify communities and user segments to honor service and build more authentic relationships. IDMe's technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. IDMe is committed to "No Identity Left Behind" to enable all people to have a secure digital identity. To learn more, visit https://network.id.me/. IDMe is a full-time, in-office culture. Unless a specific job description explicitly states otherwise, all roles are on-site five days per week at one of our offices in McLean, VA; Mountain View, CA; New York City, NY; or Tampa, FL. Certain roles — such as field-based sales or other remote-by-design positions — may have different work arrangements as noted in their individual postings. At IDMe, we embrace the thoughtful use of AI tools in our daily work and there are even occasions where we leverage AI in our hiring process. However, during the interview process, we want to understand your individual skills and experiences. Therefore, we have guidelines on how AI can be appropriately used during your application and interviews which can be found here. Company Overview IDMe is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with IDMe once and seamlessly log in across websites without needing to create a new login and re-verify. Over 140 million users experience streamlined login and identity verification with IDMe across federal, state, healthcare, and consumer brand networks. IDMe's technology meets strict federal standards for consumer authentication (NIST 800-63-3 IAL2 / AAL2) , driving our commitment to "No Identity Left Behind". Role Overview IDMe is seeking a Tech Lead Manager (TLM) to lead and scale our Data Platform Team, with a heavy emphasis on Site Reliability Engineering (SRE) and Data Reliability. This team acts as the core service owner for IDMe's high-throughput PostgreSQL database clusters and our critical, in-house Identity Trust Graph Database. In this dual-hatted role, you will own the full technical architecture and people leadership mandate for the data platform tier. You will bridge the gap between deep infrastructure reliability and platform engineering, guiding a team of engineers to ensure our operational and analytical data layers meet strict SLAs for uptime, performance, data freshness, and compliance. The ideal candidate brings a strong systems-engineering mindset, deep expertise in managing large-scale relational databases, and a passion for building robust, self-healing data infrastructure. Key Responsibilities • Own Data Infrastructure & Reliability: Define and evolve the technical architecture and operational standards for IDMe's data platform, focusing heavily on the performance, scale, and high availability of production PostgreSQL database clusters and our in-house graph database., • Drive SRE Practices for Data Tier: Implement robust mechanisms for database clustering, replication, failover, disaster recovery, automated provisioning, and zero-downtime migrations., • Performance Engineering & Optimization: Monitor, optimize, and scale platform services to meet strict requirements for query latency, throughput, and cross-region availability. Guide data model and schema design across relational and graph architectures., • Lead Engineering Execution: Drive roadmap delivery across the team—setting priorities, removing operational blockers, and ensuring the team builds reliable data tools and automation. Balance short-term operational fire fighting with long-term platform health and technical debt reduction., • Team Leadership & Talent Development: Recruit, hire, mentor, and retain a high-performing team of database, infrastructure, and platform engineers. Conduct 1:1s, performance reviews, and career development conversations that foster a culture of ownership and technical excellence., • Security, Governance & Compliance: Partner with Security, Privacy, and Compliance engineering to enforce rigorous data governance, data minimization, lineage tracking, and access controls. Ensure infrastructure strictly complies with regulatory frameworks such as FedRAMP, NIST, and GDPR., • AI-Forward Operations: Champion AI-first practices across the team, leveraging AI tooling for automated test coverage, incident analysis, quick-start documentation, and infrastructure script generation.Required Qualifications, • Education: Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)., • Leadership Experience: 8+ years of total software/infrastructure engineering experience, with at least 3 years explicitly in an engineering management or tech lead manager capacity leading teams of 5–10+ engineers., • 5+ years of experience in data engineering, site reliability, or platform engineering.Preferred Qualifications, • Software Development Track Record: Previous track record of running or leading a regular software development or feature team (building backend APIs, business logic, or customer-facing applications) is a major plus., • Graph Database Experience: Familiarity or hands-on experience with graph database concepts, optimization, and technologies (e.g., Neo4j, Amazon Neptune) or custom-built graph layers., • Streaming & Pipelines: Experience with event-driven architectures and streaming data pipelines (e.g., Kafka, Kinesis) feeding into relational or non-relational datastores., • Regulated Environments: Background working within highly secure or regulated industries (e.g., FinTech, HealthTech, GovTech) handling highly sensitive personal data., • Database Expertise: deep, hands-on experience architecting, managing, tuning, and maintaining highly available production PostgreSQL database clusters at scale., • Reliability & SRE Foundations: Proven background in data reliability engineering, site reliability engineering, or core data platform engineering. Deep familiarity with setting up production SLAs/SLOs, automated alerting, and incident response systems., • Cloud & Infrastructure-as-Code: Strong experience with at least one major cloud platform (preferably AWS) and cloud-native ecosystem tools, including Kubernetes, Terraform, and Helm., • Cross-Functional Communication: Exceptional communication skills with the ability to translate complex database infrastructure and reliability needs into clear, actionable goals for product teams and executives. The annual base salary listed does not include a company bonus, incentive for sales roles, equity and benefits which will be determined based on experience, skills, education, relevant training, geographic location and role. IDMe offers comprehensive medical, dental, vision, health savings account, flexible spending accounts (medical, limited purpose, dependent care, commuter benefit accounts), basic and voluntary life and AD&D insurance, 401(k) with company match, parental leave, ability to participate in unlimited paid time off subject to the terms and conditions of the PTO policy, including 8 company wide holidays, short and long-term disability insurance, accident and critical illness insurance, referral bonus policy, employee assistance program, pet insurance, travel assistant program, wellbeing and childcare discounts, benefit advocates, and a learning and development benefit. Final offers may vary from the amount listed based on qualifications, professional experiences, skills, education, relevant training, geographic location, and other job related factors. Mountain View, CA and New York, NY Pay Range $226,000—$296,000 USD IDMe maintains a work environment free from discrimination, where employees are treated with dignity and respect. All IDMe employees share in the responsibility for fulfilling our commitment to equal employment opportunity. IDMe does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. IDMe adheres to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, IDMe's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations. Please review our Privacy Policy, including our CCPA policy, at id.me/privacy. If you provide IDMe with any personally identifiable information you confirm that you have read and agree to be bound by the terms and conditions set out in our Privacy Policy. IDMe participates in E-Verify.

Job Description Atomic Machines is building the Matter Compiler™, the first in a new class of AI-native, all-digital manufacturing systems that build working machines directly from code. The Matter Compiler (MC) is aimed at micro-machines: motors and gears the size of a grain of sand, robots small enough to work inside the body, cooling built directly into the chips that run AI, and the many devices like them that have been waiting on a way to build them. Its first product is PrimeSwitch™, an electromechanical power relay the size of a button battery that carries 150 amps continuous current and opens in 50 microseconds, about a thousand times faster than a conventional contactor. Founded by Jeff Holden — serial entrepreneur, ex-Amazon SVP and Uber's first Chief Product Officer — the company has raised $250 million to date. Atomic Machines is based in the San Francisco Bay Area, with offices in Emeryville and Santa Clara. About This Role: We are looking for a Supplier Quality Engineer to help develop and execute world-class supplier quality processes for a new class of manufacturing. The Matter Compiler™ platform is the first of its kind and introduces unique quality challenges that require strong fundamentals, systems thinking, and the ability to help build scalable processes from the ground up. This is a highly visible role that contributes directly to the success of Atomic Machine's vision. The successful candidate will bring a solid understanding of supplier quality principles and will work cross-functionally to support the supplier quality strategy. They will help establish and carry out robust supplier quality processes that ensure consistent product performance, manufacturability, regulatory compliance, and customer satisfaction throughout the supplier lifecycle. In this role, you will partner closely with engineering, manufacturing, supply chain, and external suppliers to identify and mitigate risk, drive continuous improvement, and enable rapid development while maintaining high quality standards. The ideal candidate is hands-on and detail-oriented, comfortable operating in a fast-paced, evolving environment, and motivated by the opportunity to help define quality for a new manufacturing paradigm. What You'll Do: • Own supplier quality for an assigned commodity or supplier portfolio, from qualification through volume production, in compliance with ISO 9001 and other relevant certifications., • Qualify new suppliers and parts: lead supplier assessments, first article inspection, and PPAP activities., • Perform on-site and remote supplier audits, document findings, and drive closure of corrective actions., • Develop and maintain incoming inspection plans, test requirements, and acceptance criteria for assigned parts., • Disposition non-conforming material and lead MRB activity for supplier-caused issues., • Lead structured problem-solving with suppliers (8D, RCA, FMEA, 5 Whys) and verify that corrective actions are sustained at the source., • Maintain supplier scorecards and quality KPIs (DPPM, yield, escapes, audit findings) and present trends in regular quality reviews., • Track recurring supplier issues, perform root cause analysis, and escalate systemic risks., • Close the loop between manufacturing and suppliers by feeding line-side defect data back into supplier corrective action., • Support customer quality concerns traceable to supplied material, including preparing RCCA content for customer presentations., • Partner with engineering on DFM and specification reviews to prevent quality issues before release; participate in design reviews for assigned components., • Collaborate with manufacturing, supply chain, and engineering to embed quality discipline in daily operations., • Contribute to continuous improvement of the supplier quality management system and internal audit program.What You'll Need:, • 3–6+ years in supplier quality, quality engineering, or a closely related role in a manufacturing environment., • Hands-on experience with supplier qualification, audits, incoming inspection, PPAP, and supplier scorecards, preferably in an ISO 9001 environment., • Working expertise in RCCA methodologies (FMEA, 8D, 5 Whys, fishbone/Ishikawa) and statistical tools for failure analysis, with a track record of corrective actions that stick., • Experience supporting products from NPI through volume manufacturing., • Familiarity with DFM principles and their impact on quality and yield., • Proficiency with PLM, MES, and ERP systems; comfortable pulling and analyzing quality data to drive decisions., • Ability to influence suppliers and cross-functional partners without direct authority., • Strong written and verbal communication skills, with attention to documentation quality and clear reporting of quality metrics., • Self-directed and resilient in ambiguous situations; able to make tangible progress amid change., • A first-principles mindset—questioning assumptions and solving problems from foundational understanding rather than precedent alone., • Bachelor's degree in Engineering, Physics, or a related technical field required. The compensation for this position also includes equity and benefits. Salary Range $165,000—$190,000 USD Atomic Machines is an equal opportunity employer that values diversity and does not discriminate based on characteristics protected by applicable law. We are committed to an inclusive interview experience, including for individuals with disabilities. To request an accommodation, contact rc@atomicmachines.com. To help our recruiting team manage application volume and respond to candidates more efficiently, Atomic Machines may use AI-assisted tools.

Job DescriptionJAVA Developer Santa Clara, CA (Onsite; hybrid is possible, but no remote work) Duties: • Identify business needs by establishing personal rapport with actual, potential, and internal clients, • Design, develop, and implement highly scalable client server programs in a cloud environment, • Identify appropriate microservice implementation and build cloud hosted services, • Recommend alternate approaches, analyze product design impact, and provide sizing estimates collaborate with other cross platform team members to build effective integrations, • Participate in design sessions and code reviews, • Work with business requirement partners to design, develop, and refine the graphical user experience of an application, • Confirm program operation by conducting unit, system, and integration tests; modifying program sequence and/or codes as necessary, • Prepare project related documentation, G.A.P. analysis, functional specifications, design specifications, • Complete development activities including reports, interfaces, conversions, improvements, and forms during different stages of a project, • Identify new technologies and solutions to improve existing infrastructure, • Work closely and build relationships with other teams and communicate with various platform service, • Develop tools and infrastructure to improve quality and efficiency of testing, • Reproduce and debug issues found during and after software release, • Build out distributed systems using big data open source programming tools, • Work with research teams and data scientists, finding bottlenecks to the design process and resolving them efficiently, • Lead software development projects, like automated malware analysis solution, • Interview, mentor, and coach new team members, • Learn and adapt to new programming languages and technologies on an as-needed basisSkills:, • Java, Python, and JavaScript development within team environments and large implementations, • Experience in Agile and/or Scrum environments for project planning and sprints, • Experience with developing Single Page Applications using React.js and Redux, • Experience with developing applications using Amazon Web Services (AWS), • Ability to handle multiple deliverables in a dynamic environment with similar timelines, • Deep understanding of integrated flows for customer support processes, • Comfortable accessing and manipulating various web and local data sources such as relational and NOSQL databases, RESTful API’s calls, • Experience debugging, logging, and tracking issues, • Knowledge of Java, Spring Boot, Node.js, React.js, Redux, Linux, MVC, MySQL, Visual Studio, GIT, WCF, WebAPI, Exress.js, Hapi.js, IIS, AWS, Jira, Confluence and others, • Product development experience with container technologies, • Familiar with malware sandbox environments or cybersecurity, • Experience with Python, Tomcat, JS, and DockerEducation: Bachelor’s degree in Computer Science, Information Technology, or a related field.

Job DescriptionOverview eTrigue is seeking an experienced and highly motivated Application Full Stack Developer to join our dynamic team in San Jose, CA. The ideal candidate will have extensive experience across multiple programming languages and frameworks, capable of owning both front-end and back-end development responsibilities. This is a challenging yet rewarding opportunity for a technologist who thrives in a collaborative, fast-paced environment and is passionate about building scalable, high-performance applications. This is a full-time, on-site position, and includes great benefits, healthcare, PTO, and matching 401k. Applicants must have a permanent working permit or be a U.S. Citizen. H1B sponsorship is not eligible for this role. The position is located on-site in San Jose, California. Please confirm you are able to work onsite. This is NOT a hybrid role. (Now that everything is cleared up). Responsibilities for Application Full Stack Developer role: • Design, develop, and maintain robust, scalable web applications utilizing a full-stack approach., • Create responsive, user-friendly front-end interfaces utilizing a technology stack including CSS, Bootstrap, JavaScript, jQuery, and Vue.js., • Implement and manage back-end services and APIs using a mix of PHP, Java, and Python., • Collaborate with product managers, designers, and other engineers to define feature specifications and deliver high-quality products., • Write clean, well-documented, and testable code., • Troubleshoot, debug, and upgrade existing systems., • Optimize application for maximum speed and scalability., • Participate in code reviews to ensure adherence to coding standards and best practices.Qualifications Required Experience for Application Full Stack Developer role: • 5+ years of professional experience in Full Stack Development of a SaaS product., • Intensive experience with modern JavaScript (ES6+)., • Deep expertise in front-end development using Vue.js., • Expertise in server-side development using PHP, Python, Java Spring, and the Spring Boot framework., • Proven experience with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MS SQL)., • Experience designing and consuming RESTful APIs., • Demonstrated proficiency in working with AI models and developing effective prompts., • Familiarity with version control systems, particularly Git., • Proficient in the development lifecycle, specifically utilizing Jira and Confluence., • Excellent problem-solving skills and attention to detail, detail, detail., • AWS Cloud certification is a plus (Solutions Architect, Developer, or SysOps Administrator)., • Experience with containerization technologies (Docker, Kubernetes)., • Familiarity with CI/CD pipelines and DevOps practices., • Experience with testing frameworks (e.g., Jest, Mocha, JUnit, pytest). Preferred Qualifications, • AWS Cloud certification is a plus (Solutions Architect, Developer, or SysOps Administrator)., • Experience with containerization technologies (Docker, Kubernetes)., • Familiarity with CI/CD pipelines and DevOps practices., • Experience with testing frameworks (e.g., Jest, Mocha, JUnit, pytest)., • Experience with AI/LLM concepts, integration, test and deployments, • Anthropic Claude Sonet, Amazon Nova, GPT frameworksNext steps, • Complete the application process, tell us about yourself, and submit your application including links to your GitHub/repository, LinkedIn, and/or code sample portfolio., • Confirm you are able to work on-site at our San Jose, CA location., • We will review, reach out with questions, and setup interviews/screening for qualified applicants that meet our criteria for this role., • We look to add to our team within the next 90 days., • We respect your time and efforts and appreciate your interest in joining our team., • Please respect our time, and ensure you meet ALL qualifications for this role. This is NOT a remote or hybrid role., • We look forward to hearing from you. Powered by JazzHR B16oXMhERT

Job DescriptionAbout Onehouse Onehouse is a mission-driven company dedicated to freeing data from data platform lock-in. We deliver the industry’s most interoperable data lakehouse through a cloud-native managed service built on Apache Hudi. Onehouse enables organizations to ingest data at scale with minute-level freshness, centrally store it, and make available to any downstream query engine and use case (from traditional analytics to real-time AI / ML). We are a team of self-driven, inspired, and seasoned builders that have created large-scale data systems and globally distributed platforms that sit at the heart of some of the largest enterprises out there including Uber, Snowflake, AWS, Linkedin, Confluent and many more. Riding off a fresh $35M Series B backed by Craft, Greylock and Addition Ventures, we're now at $68M total funding and looking for rising talent to grow with us and become future leaders of the team. Come help us build the world's best fully managed and self-optimizing data lake platform! The Community You Will Join When you join Onehouse, you're joining a team of passionate professionals tackling the deeply technical challenges of building a 2-sided engineering product. Our engineering team serves as the bridge between the worlds of open source and enterprise: contributing directly to and growing Apache Hudi (already used at scale by global enterprises like Uber, Amazon, ByteDance etc) and concurrently defining a new industry category - the transactional data lake. The Impact You Will Drive: • As an engineer on the Open Source team at Onehouse, you'll play a pivotal role in shaping and realizing the vision and roadmap for Apache Hudi, while also shaping the future of data lakehouse space., • Collaborate across multiple teams within Onehouse, serving as the vital bridge between the open-source Apache Hudi project and Onehouse's managed solution, ensuring seamless collaboration and integration., • Engage closely with community partners and contributors, serving as a steward of the Apache Hudi project, fostering collaboration and guiding its evolution., • Champion a culture of innovation, quality and timely execution, enabling the team to deliver on the vision of the next-generation data lakehouse., • Architect and implement solutions that scale to accommodate the rapid growth of our customer base, open source community and the ever-expanding demands of the datalake ecosystem at large.A Typical Day:, • Build, design and deliver features/improvements to Apache Hudi., • Ensure high quality and timely delivery of innovations and improvements in Apache Hudi., • Dive deep into the architectural details of data ingestion, data storage, data processing and data querying to ensure that Apache Hudi is built to be the most robust, scalable and interoperable data lakehouse., • Own discussions and work with open source partners/vendors to: troubleshoot issues with Hudi, ensure Hudi support in for compute engines like Pretso/Trino and act as the face of Hudi to the community at large via meetups, customer meetings, talks etc., • Partner with and mentor engineers on the team.What You Bring to the Table:, • 5-7+ years building large-scale data systems., • You embrace ambiguous/undefined problems with an ability to think abstractly and articulate technical challenges and solutions., • Positive attitude towards seeking solutions to hard problems, with a bias towards action and forward progress., • An ability to quickly prototype new directions, shape them into real projects and analyze large/complex data., • Strong, object-oriented design and coding skills with Java, preferably on a UNIX or Linux platform., • Experience with inner workings of distributed (multi-tiered) systems, algorithms, and relational databases., • Experience with large scale data compute engines / processing frameworks., • Experience building distributed and/or data storage systems or query engines., • An ability to prioritize across feature development and tech debt, balancing urgency and speed., • An ability to solve complex programming/optimization problems., • Robust and clear communication skills., • Nice to haves (but not required):, • Experience working with open source projects and communities., • Experience in optimization mathematics (linear programming, nonlinear optimization)., • Existing publications of optimizing large-scale data systems in top-tier distributed system conferences., • PhD or Masters degree in a related field with industry experience in solving and delivering high-impact optimization projects.How We'll Take Care of You -Competitive Compensation; the estimated base salary range for this role is $215,000 - $250,000-Equity Compensation; our success is your success with eligible participation in our company equity plan -Health & Well-being; we'll invest in your physical and mental well-being with up to 90% health coverage (50% for spouses/dependents) including comprehensive medical, dental & vision benefits -Financial Future; we'll invest in your financial well-being by making this role eligible to contribute to our company 401(k) or Roth 401(k) retirement plan -Location; we are a remote-friendly company (internationally distributed across N. America + India), though some roles will be subject to in-person requirements in alignment with the needs of the business -Generous Time Off; unlimited PTO (mandatory 1 week/year minimum), uncapped sick days and 11 paid company holidays -Company Camaraderie; Annual company offsites and Quarterly team onsites @Sunnyvale HQ -Food & Meal Allowance; weekly lunch stipend, in-office snacks/drinks -Equipment; we'll provide you with the equipment you need to be successful and a one-time $500 stipend for your initial desk setup -Child Bonding!; 8 weeks off for parents (birthing, non-birthing, adoptive, foster, child placement, new guardianship) - fully paid so you can focus your energy on your newest addition House ValuesOne TeamOptimize for the company, your team, self - in that order. We may fight long and hard in the trenches, take care of your co-workers with empathy. We give more than we take to build the one house, that everyone dreams of being part of. Tough & Persevering We are building our company in a very large, fast-growing but highly competitive space. Life will get tough sometimes. We take hardships in the stride, be positive, focus all energy on the path forward and develop a champion's mindset to overcome odds. Always day one! Keep Making It Better AlwaysRome was not built in a day; If we can get 1% better each day for one year, we'll end up thirty-seven times better. This means being organized, communicating promptly, taking even small tasks seriously, tracking all small ideas, and paying it forward. Think Big, Act FastWe have tremendous scope for innovation, but we will still be judged by impact over time. Big, bold ideas still need to be strategized against priorities, broken down, set in rapid motion, measure, refine, repeat. Great execution is what separates promising companies from proven unicorns. Be Customer ObsessedEveryone has the responsibility to drive towards the best experience for the customer, be an OSS user or a paid customer. If something is broken, own it, say something, do something; never ignore. Be the change that you want to see in the company. Pay Range Transparency Onehouse is committed to fair and equitable compensation practices. Our job titles may span more than one career level. The pay range(s) for this role is listed above and represents the base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are dependent upon several factors that are unique to each candidate, including but not limited to: job-related skills, depth of transferable experience, relevant certifications and training, business needs, market demands and specific work location. Based on the factors above, Onehouse utilizes the full width of the range; the base pay range is subject to change and may be modified in the future. The total compensation package for this position will also include eligibility for equity options and the benefits listed above. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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 Atomic Machines is building the Matter Compiler™, the first in a new class of AI-native, all-digital manufacturing systems that build working machines directly from code. The Matter Compiler (MC) is aimed at micro-machines: motors and gears the size of a grain of sand, robots small enough to work inside the body, cooling built directly into the chips that run AI, and the many devices like them that have been waiting on a way to build them. Its first product is PrimeSwitch™, an electromechanical power relay the size of a button battery that carries 150 amps continuous current and opens in 50 microseconds, about a thousand times faster than a conventional contactor. Founded by Jeff Holden — serial entrepreneur, ex-Amazon SVP and Uber's first Chief Product Officer — the company has raised $250 million to date. Atomic Machines is based in the San Francisco Bay Area, with offices in Emeryville and Santa Clara. Why This Role Matters CAM connects geometric intent with physical processes. You'll build the software infrastructure that lets process experts express where an operation acts, what effect it should produce, and which constraints it must satisfy. The challenge is to turn that knowledge into reusable representations, algorithms and interfaces. These must extend beyond familiar etching or 3D-printing workflows to support different ways of shaping, treating and assembling materials. Success means new processes can build on shared geometric capabilities while preserving the assumptions and behavior that make each process distinct. You'll bring strong software engineering and deep interest in geometric reasoning, working with experts who bring the physics and process knowledge. AI fluency is central: use agents throughout development while owning the decisions, code and results you accept. What You'll Do • Build and evolve Go and Python software infrastructure for representing geometric intent and generating physical-process operations., • Develop reusable geometric representations and algorithms for shapes, regions, coordinate frames, spatial relationships, and process planning., • Work with process experts to turn their knowledge into explicit models, constraints, interfaces, and acceptance criteria, including effects that vary over space or time., • Extend shared capabilities to new processes; keep process-specific behavior explicit and integrate with machine software and fab coordination., • Test geometric and software correctness, make generated results reproducible, and validate assumptions with experts and physical measurements., • Use AI throughout investigation, design, implementation, testing, and documentation; inspect changes and verify results.What You'll Need, • Production software ownership, typically 8+ years for the senior target; productive Python and strong in Go or C++, with readiness to work in Go. Level is based on demonstrated scope and ability., • Experience in, or a demonstrated deep interest in, geometric reasoning: representing shapes and spatial relationships, choosing useful abstractions, and reasoning about their limits., • Evidence of designing reusable software infrastructure, simplifying complexity, and testing and safely evolving systems with clear interfaces., • Strong AI fluency: provide context, challenge proposals, inspect code and meaningfully test accepted work., • Ability to work with domain experts, make assumptions explicit, and turn their knowledge into testable software behavior., • Care with units, coordinate frames, tolerances and approximation; willingness to learn unfamiliar physical processes and work directly with fab equipment., • BS in CS or a related field, or equivalent practical experience. The compensation for this position also includes equity and benefits. Salary Range $185,000—$220,000 USD Atomic Machines is an equal opportunity employer that values diversity and does not discriminate based on characteristics protected by applicable law. We are committed to an inclusive interview experience, including for individuals with disabilities. To request an accommodation, contact rc@atomicmachines.com. To help our recruiting team manage application volume and respond to candidates more efficiently, Atomic Machines may use AI-assisted tools.

Job Description FloQast is looking for a motivated Software Engineer that will play a key contributor role in shipping high impact features. This individual will help identify product and engineering opportunities that will delight our customers and build solutions that exceed their quality expectations. The right candidate should have a track record of building, testing, deploying, and soliciting feedback from stakeholders in a pre product-market fit or fast paced startup environment. You will work closely with your team, sales, and our customers to define, prioritize, and build new features. FloQast is headquartered in Los Angeles & San Jose, CA and we are seeking US-based Hybrid Engineers. What You'll Do • Build high quality, user focused experiences from the ground up with React, NodeJS, and MongoDB, • Leverage Amazon Web Services (AWS) such as S3, Lambda, and Step Functions to get features to market quickly and efficiently, • Collaborate on our technical vision. Participate or lead discussions and implementation on multiple complex projects, • Continuously act on our customers’ product feedback, data, and growth needs to epitomize an agile environment by always working on the most important things, • Continuously improve our engineering process, tools, and systems to increase the team's ability to do more with less, • Fully own or pair on vertically sliced features through the full SDLC including code review, deployments, and production support of our applications and external APIWhat You'll Bring, • 7+ years of professional full stack experience at 1 or more referenceable companies doing web app development, RESTful API design, or data modeling, • Proficiency in JavaScript and React, NodeJS, or MongoDB. Being able to think and develop in their patterns and practices. The more the better, • Strong experience with tools like Snowflake, • Track record of shipping high-quality products and features to customers, and developing projects at scale, • Ability to quickly turn business and product ideas into engineering solutions, • Motivated by taking a product to market, solving customer problems, and mastering your craft through the growth of the businessNice to haves, • Have taken a product from 0 to 1, • B2B SaaS experience, • Practice TDD, BDD, or use of code coverage #LI-JR1 This job posting is for our Senior Software Engineer level, the base pay range for this position is $144,000 - $216,000. Compensation is not limited to base salary. FloQast values our Total Rewards, and offers a competitive and elaborate Benefits Package including, but not limited to, Medical, Dental, Vision, Family Forming benefits, Life & Disability Insurance, Unlimited Vacation, and participation in our Employee Stock Program. FloQast reserves the right to amend, change, alter, and revise pay ranges and benefits offerings at any time. All applicants acknowledge that by applying to this position you understand that this specific pay range is contingent upon meeting the qualifications and requirements of the role, and for the successful completion of the interview selection and process. It is at the Company's discretion to determine what pay is provided to a candidate within the range associated with the role. About FloQast: FloQast is the leading AI-powered Accounting Transformation Platform, uniquely built by former accountants for accountants. We automate complex, recurring accounting workflows—transforming preparers into strategic reviewers and relieving accountants from tedious manual work. Our cloud-based solution is trusted by over 3,500 world-class accounting teams, including Lululemon, Doordash, and the MLB, to drive collaboration and financial accuracy. Driven by a mission to continuously elevate the profession, FloQast is redefining both the practice and the perception of accounting on a global scale. Our values act as a guiding compass, shaping every decision we make, and are non-negotiable, particularly in our hiring process. Alongside our employees, partners, and customers, we embody these values every day: Unwaveringly Authentic Ambitious with IntegrityEmpowered to GrowCommitted to CollaborationCustomer Obsessed in All Ways Here’s Why You Should Apply • What is engineering working on? Our FQ Engineering Blog showcases a number of our recent efforts straight from the engineers working on them. Check it out! FloQast is regularly rated as a Best Place to Work! - Inc. Magazine’s Best Workplaces in 2025, 2024, 2023, 2022, and 2021 - Best Places to Work by LA Business Journal since 2017 (that’s 9 years!) - Built In’s Best Place to Work in Los Angeles 7 years in a row! Because we are Customer Obsessed in All Ways, check out what our customers have to say about FloQast on G2 Crowd. If this aligns closely with what you are looking for, hit “Apply” and come join our growing team! FloQast, Inc is committed to operating fair and unbiased recruitment procedures allowing all applicants an equal opportunity for employment, free from discrimination on the basis of religion, race, sex, age, sexual orientation, disability, color, ethnic or national origin, or any other classification as may be protected by applicable law. We aim to recruit the right people for the jobs we have to offer, and to assess applications on the basis of relevant skills, education, and experience. We welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and strive to provide a professional and welcoming workplace for all employees. Link to FloQast Recruiting AI Usage Policy We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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 Job Title: AWS Architect Location: Santa Clara, CA Duration: Long Term Rate: $75 - 80/hr on C2C Job Title: AWS Architect Job Summary We are seeking an experienced AWS Architect to design, build, and optimize scalable, secure, and cost-effective cloud solutions on Amazon Web Services. The ideal candidate will have strong experience in cloud architecture, infrastructure modernization, application migration, DevOps practices, security, and enterprise cloud governance. This role will work closely with business stakeholders, application teams, infrastructure teams, security teams, and delivery partners to define cloud strategy and deliver high-quality AWS solutions. Key Responsibilities Design and implement AWS cloud architectures aligned with business, security, scalability, and performance requirements. Lead cloud migration, modernization, and transformation initiatives from on-premises or other cloud platforms to AWS. Define end-to-end solution architecture covering compute, storage, networking, database, security, monitoring, backup, disaster recovery, and automation. Develop architecture patterns, reference models, landing zones, and reusable cloud templates. Work with application teams to modernize workloads using AWS services such as EC2, S3, RDS, Lambda, ECS/EKS, API Gateway, CloudFormation, CloudWatch, IAM, VPC, Route 53, and related services. Establish cloud governance, security controls, access management, compliance, tagging, cost optimization, and operational best practices. Collaborate with DevOps teams to enable CI/CD, infrastructure as code, automated deployments, and environment provisioning. Assess existing applications and infrastructure to recommend cloud migration strategies such as rehost, replatform, refactor, retire, or retain. Ensure high availability, resilience, disaster recovery, and performance optimization across AWS environments. Provide technical leadership, guidance, and architecture reviews for project teams. Partner with business and technology stakeholders to translate requirements into practical cloud solutions. Create architecture documentation, design diagrams, migration plans, runbooks, and operational handover materials. Stay current with AWS services, cloud-native technologies, industry trends, and best practices. Required Skills and Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or related field. 8 years of IT experience, with at least 4 years of hands-on AWS architecture experience. Strong knowledge of AWS cloud services including compute, storage, networking, databases, security, monitoring, and automation. Experience designing secure and scalable AWS environments using VPC, IAM, security groups, KMS, CloudTrail, CloudWatch, AWS Config, and related services. Hands-on experience with infrastructure as code tools such as Terraform, AWS CloudFormation, or AWS CDK. Experience with application migration and modernization on AWS. Strong understanding of networking concepts including DNS, VPN, Direct Connect, load balancing, routing, firewalls, and subnet design. Experience with container platforms such as Amazon ECS, EKS, or Kubernetes. Knowledge of DevOps tools and CI/CD pipelines such as GitHub Actions, Jenkins, GitLab, AWS CodePipeline, or similar platforms. Experience with monitoring, logging, backup, disaster recovery, and cost optimization practices. Strong communication skills with the ability to explain technical solutions to both technical and non-technical stakeholders. Ability to work independently and lead architecture discussions across multiple teams. Preferred Qualifications AWS Certified Solutions Architect Professional or Associate certification. Experience with enterprise landing zone design and multi-account AWS environments. Experience with data platforms, analytics, AI/ML, or Databricks on AWS. Experience in regulated industries such as healthcare, life sciences, financial services, or manufacturing. Knowledge of security and compliance frameworks such as HIPAA, SOC 2, ISO 27001, PCI-DSS, or GDPR. Experience with serverless architecture, microservices, API-led integration, and cloud-native application design.

Job DescriptionCompany Overview IDMe is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with IDMe once and seamlessly login across websites without having to create a new login and verify their identity again. Over 175 million users experience streamlined login and identity verification with IDMe at 22 federal agencies, 50 state government agencies, and more than 100 healthcare organizations. Over 600 consumer brands use IDMe to verify communities and user segments to honor service and build more authentic relationships. IDMe's technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. IDMe is committed to "No Identity Left Behind" to enable all people to have a secure digital identity. To learn more, visit https://network.id.me/. IDMe is a full-time, in-office culture. Unless a specific job description explicitly states otherwise, all roles are on-site five days per week at one of our offices in McLean, VA; Mountain View, CA; New York City, NY; or Tampa, FL. Certain roles — such as field-based sales or other remote-by-design positions — may have different work arrangements as noted in their individual postings. At IDMe, we embrace the thoughtful use of AI tools in our daily work and there are even occasions where we leverage AI in our hiring process. However, during the interview process, we want to understand your individual skills and experiences. Therefore, we have guidelines on how AI can be appropriately used during your application and interviews which can be found here. Role Overview We are looking for a Principal Software Engineer (SDE6), Data to join our Core Platform Engineering organization and spearhead the architectural evolution of ID.me's data ecosystem. As ID.me scales as an API-first platform company, we need a high-agency technical leader who can immediately step in, rapidly synthesize our current landscape—across business objectives, technical realities, and system architecture—and define and drive a pragmatic, multi-phase evolution plan for our data platform and data architecture. In this pivotal role, you will serve as the primary technical strategist and hands-on architectural driver for the Data side of ID.me's platform transformation. You will assess existing relational, event-driven, and graph-based data systems, identify critical bottlenecks and strategic opportunities, and chart a clear path from our current state to a resilient, scalable, cloud-native target architecture. Rather than operating in an ivory tower, you will lead from the front—partnering closely with executive leadership, product, security, compliance, and application engineering teams to align technical execution with high-priority business outcomes across identity verification, fraud prevention, analytics, and AI/ML enablement. This role is based out of our Mountain View, CA or McLean, VA office and requires full-time in-office attendance. Responsibilities • Assess & Synthesize Current State: Rapidly build a deep understanding of ID.me's existing data landscape, technical debt, operational bottlenecks, and business priorities across relational databases (PostgreSQL/AlloyDB/CloudSQL), graph systems, event streaming, and core data APIs., • Define & Drive the Data Evolution Plan: Author and own the end-to-end architectural roadmap for ID.me's data ecosystem—defining clear, incremental milestones that safely evolve legacy patterns into modern, scalable, API-first and event-driven data architectures while continuously delivering business value., • Architect Foundational Data Systems: Lead the technical design and implementation of core data platform capabilities, including foundational data APIs, event-driven architectures (Pub/Sub, streaming pipelines), graph data models, encryption/data protection services, and automated data lifecycle/retention systems., • Bridge Business Objectives & Technical Strategy: Partner directly with executive leadership, product management, and domain architects (such as Authentication and Identity) to translate strategic business goals and regulatory mandates into cohesive, future-proof data architectures and data contracts., • Establish Data Modeling & Governance Guardrails: Define organization-wide standards, paved paths, and self-service tooling for logical and physical data modeling (across relational and graph systems), schema hygiene, metadata management, data lineage, and access patterns., • Embed Security, Privacy & Compliance by Design: Partner with Security and Compliance teams to ensure data storage, encryption, retention, and access architectures rigorously satisfy regulatory standards (e.g., FedRAMP, NIST 800-63, GDPR) with built-in auditability., • Hands-On Technical Leadership: Dive into critical codebases, build foundational prototypes, lead architectural reviews, and work side-by-side with engineering teams to unblock complex migrations, optimize database and query performance at scale, and resolve high-severity architectural challenges., • Influence & Elevate Engineering Culture: Mentor Staff and Senior engineers across the organization, evangelize modern data ownership and stewardship practices, and align cross-functional teams around a unified data vision.Basic Qualifications, • Bachelor's or Graduate degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience)., • 10+ years of hands-on experience in software engineering, distributed systems, and data architecture at a large-scale SaaS, fintech, identity, or platform company., • Demonstrated track record of stepping into complex, brownfield engineering environments, rapidly diagnosing architectural and business challenges, and defining and executing multi-quarter technical transformation roadmaps., • Deep expertise in designing, building, and evolving large-scale data architectures spanning relational databases (e.g., PostgreSQL), distributed event-driven systems, and graph or NoSQL data stores., • Strong proficiency in one or more modern backend programming languages (e.g., Go, Java, Python, Ruby, or Rust) and advanced SQL.Preferred Qualifications, • Proven ability to act as a force multiplier across an engineering organization—driving alignment among executives, product leaders, and engineers to turn ambiguous, company-wide problems into actionable execution plans., • Hands-on experience leading large-scale data migrations, decomposing monolithic databases, and establishing API-first data boundaries and data contracts without disrupting mission-critical production traffic., • Deep expertise with both relational database internals/scaling (e.g., PostgreSQL, AlloyDB, CloudSQL) and graph database architectures (e.g., Neo4j, Amazon Neptune, or similar) for relationship-driven identity and fraud use cases., • Experience architecting event-driven data platforms and real-time streaming pipelines (e.g., Google Pub/Sub, Kafka, Dataflow, Temporal) on major cloud providers (GCP or AWS)., • Experience designing automated data governance, data retention, and privacy/encryption frameworks in highly regulated environments (e.g., FedRAMP, NIST, SOC2, GDPR)., • Fluency with AI-assisted engineering workflows and experience designing data architectures that power AI/ML and analytical platforms., • Exceptional written and verbal communication skills, with a natural ability to distill complex architectural trade-offs into clear strategic narratives for both technical and executive audiences. The annual base salary listed does not include a company bonus, incentive for sales roles, equity and benefits which will be determined based on experience, skills, education, relevant training, geographic location and role. IDMe offers comprehensive medical, dental, vision, health savings account, flexible spending accounts (medical, limited purpose, dependent care, commuter benefit accounts), basic and voluntary life and AD&D insurance, 401(k) with company match, parental leave, ability to participate in unlimited paid time off subject to the terms and conditions of the PTO policy, including 8 company wide holidays, short and long-term disability insurance, accident and critical illness insurance, referral bonus policy, employee assistance program, pet insurance, travel assistant program, wellbeing and childcare discounts, benefit advocates, and a learning and development benefit. Final offers may vary from the amount listed based on qualifications, professional experiences, skills, education, relevant training, geographic location, and other job related factors. U.S. Pay Range $209,000—$275,000 USD Mountain View, CA Pay Range $226,000—$296,000 USD IDMe maintains a work environment free from discrimination, where employees are treated with dignity and respect. All IDMe employees share in the responsibility for fulfilling our commitment to equal employment opportunity. IDMe does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. IDMe adheres to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, IDMe's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations. Please review our Privacy Policy, including our CCPA policy, at id.me/privacy. If you provide IDMe with any personally identifiable information you confirm that you have read and agree to be bound by the terms and conditions set out in our Privacy Policy. IDMe participates in E-Verify.

Job DescriptionAbout Onehouse Onehouse is a mission-driven company dedicated to freeing data from data platform lock-in. We deliver the industry’s most interoperable data lakehouse through a cloud-native managed service built on Apache Hudi. Onehouse enables organizations to ingest data at scale with minute-level freshness, centrally store it, and make available to any downstream query engine and use case (from traditional analytics to real-time AI / ML). We are a team of self-driven, inspired, and seasoned builders that have created large-scale data systems and globally distributed platforms that sit at the heart of some of the largest enterprises out there including Uber, Snowflake, AWS, Linkedin, Confluent and many more. Riding off a fresh $35M Series B backed by Craft, Greylock and Addition Ventures, we're now at $68M total funding and looking for rising talent to grow with us and become future leaders of the team. Come help us build the world's best fully managed and self-optimizing data lake platform! The Community You Will Join When you join Onehouse, you're joining a team of passionate professionals tackling the deeply technical challenges of building a 2-sided engineering product. Our engineering team serves as the bridge between the worlds of open source and enterprise: contributing directly to and growing Apache Hudi (already used at scale by global enterprises like Uber, Amazon, ByteDance etc) and concurrently defining a new industry category - the transactional data lake. The Impact You Will Drive: • As a technical lead on the Open Source team at Onehouse, you'll play a pivotal role in shaping and realizing the vision and roadmap for Apache Hudi, while also shaping the future of data lakehouse space., • Collaborate across multiple teams within Onehouse, serving as the vital bridge between the open-source Apache Hudi project and Onehouse's managed solution, ensuring seamless collaboration and integration., • Engage closely with community partners and contributors, serving as a steward of the Apache Hudi project, fostering collaboration and guiding its evolution., • Champion a culture of innovation, quality and timely execution, enabling the team to deliver on the vision of the next-generation data lakehouse., • Architect and implement solutions that scale to accommodate the rapid growth of our customer base, open source community and the ever-expanding demands of the datalake ecosystem at large.A Typical Day:, • Lead the team building Apache Hudi to design and deliver features/improvements., • Ensure high quality and timely delivery of innovations and improvements in Apache Hudi., • Dive deep into the architectural details of data ingestion, data storage, data processing and data querying to ensure that Apache Hudi is built to be the most robust, scalable and interoperable data lakehouse., • Own discussions and work with open source partners/vendors to: troubleshoot issues with Hudi, ensure Hudi support in for compute engines like Pretso/Trino and act as the face of Hudi to the community at large via meetups, customer meetings, talks etc., • Partner with and mentor engineers on the team.What You Bring to the Table:, • 10+ years building large-scale data systems., • 3+ years experience leading teams and working with others to deliver on team goals., • You embrace ambiguous/undefined problems with an ability to think abstractly and articulate technical challenges and solutions., • Positive attitude towards seeking solutions to hard problems, with a bias towards action and forward progress., • An ability to quickly prototype new directions, shape them into real projects and analyze large/complex data., • Strong, object-oriented design and coding skills with Java, preferably on a UNIX or Linux platform., • Experience with inner workings of distributed (multi-tiered) systems, algorithms, and relational databases., • Experience with large scale data compute engines / processing frameworks., • Experience building distributed and/or data storage systems or query engines., • An ability to prioritize across feature development and tech debt, balancing urgency and speed., • An ability to solve complex programming/optimization problems., • Robust and clear communication skills., • Nice to haves (but not required):, • Experience working with open source projects and communities., • Experience in optimization mathematics (linear programming, nonlinear optimization)., • Existing publications of optimizing large-scale data systems in top-tier distributed system conferences., • PhD or Masters degree in a related field with industry experience in solving and delivering high-impact optimization projects.How We'll Take Care of You -Competitive Compensation; the estimated base salary range for this role is $230,000 - $250,000 -Equity Compensation; our success is your success with eligible participation in our company equity plan -Health & Well-being; we'll invest in your physical and mental well-being with up to 90% health coverage (50% for spouses/dependents) including comprehensive medical, dental & vision benefits -Financial Future; we'll invest in your financial well-being by making this role eligible to contribute to our company 401(k) or Roth 401(k) retirement plan -Location; we are a remote-friendly company (internationally distributed across N. America + India), though some roles will be subject to in-person requirements in alignment with the needs of the business -Generous Time Off; unlimited PTO (mandatory 1 week/year minimum), uncapped sick days and 11 paid company holidays -Company Camaraderie; Annual company offsites and Quarterly team onsites @Sunnyvale HQ -Food & Meal Allowance; weekly lunch stipend, in-office snacks/drinks -Equipment; we'll provide you with the equipment you need to be successful and a one-time $500 stipend for your initial desk setup -Child Bonding!; 8 weeks off for parents (birthing, non-birthing, adoptive, foster, child placement, new guardianship) - fully paid so you can focus your energy on your newest addition House ValuesOne TeamOptimize for the company, your team, self - in that order. We may fight long and hard in the trenches, take care of your co-workers with empathy. We give more than we take to build the one house, that everyone dreams of being part of. Tough & Persevering We are building our company in a very large, fast-growing but highly competitive space. Life will get tough sometimes. We take hardships in the stride, be positive, focus all energy on the path forward and develop a champion's mindset to overcome odds. Always day one! Keep Making It Better AlwaysRome was not built in a day; If we can get 1% better each day for one year, we'll end up thirty-seven times better. This means being organized, communicating promptly, taking even small tasks seriously, tracking all small ideas, and paying it forward. Think Big, Act FastWe have tremendous scope for innovation, but we will still be judged by impact over time. Big, bold ideas still need to be strategized against priorities, broken down, set in rapid motion, measure, refine, repeat. Great execution is what separates promising companies from proven unicorns. Be Customer ObsessedEveryone has the responsibility to drive towards the best experience for the customer, be an OSS user or a paid customer. If something is broken, own it, say something, do something; never ignore. Be the change that you want to see in the company. Pay Range Transparency Onehouse is committed to fair and equitable compensation practices. Our job titles may span more than one career level. The pay range(s) for this role is listed above and represents the base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are dependent upon several factors that are unique to each candidate, including but not limited to: job-related skills, depth of transferable experience, relevant certifications and training, business needs, market demands and specific work location. Based on the factors above, Onehouse utilizes the full width of the range; the base pay range is subject to change and may be modified in the future. The total compensation package for this position will also include eligibility for equity options and the benefits listed above. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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 Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences. This is a paid 12-week internship opportunity and is a hybrid, in-office role. Here’s a glimpse into the Internship experience from some of our TRI interns! The Team You will be joining the Extreme Performance Intelligent Control (EPIC) team in the Human Interactive Driving division, a multidisciplinary research team focused on developing a world foundation model for driving—a unified, transferable representation of driving knowledge built from large-scale real-world and simulated data. Together, we are tackling the complex challenges of multi-agent interaction, causal reasoning, and embodied intelligence in highly dynamic, real-world driving environments. Our approach is inspired by cutting-edge generative modeling techniques and powered by scalable infrastructure and open-source data, and we work closely with engineers to deploy our models in simulation and on hardware. The Internship As a Ph.D. Research Intern, you will conduct original research at the intersection of machine learning and autonomous driving. Your work will focus on advancing the state of the art in world modeling across various areas, including representation learning, action conditioning, and evaluation. You will have the opportunity to prototype and evaluate your ideas in closed-loop simulations and contribute to research publications alongside TRI scientists. This is an opportunity to test and refine your research in a collaborative, high-impact environment, while working with real-world data and contributing to the future of autonomous systems. Responsibilities • Conduct original research in one or more areas: world modeling, multi-agent interaction, reinforcement learning, perception, or sim-to-real transfer., • Collaborate closely with full-time researchers on the design, training, and evaluation of learning-based driving systems., • Develop and evaluate prototypes in closed-loop simulation environments and, time permitting, on high-performance autonomous driving hardware., • Present research findings through internal talks and work towards a top-tier academic publication., • Integrate and work with large-scale datasets (open-source and internal).Qualifications, • Currently pursuing a Ph.D. in Computer Science, Robotics, Machine Learning, Electrical Engineering, or related fields., • Strong background in machine learning, particularly in areas such as deep learning, generative models, reinforcement learning, or probabilistic modeling., • Hands-on experience training and evaluating world models, model-based reinforcement learning, 3D reconstruction or sensor fusion, and large-scale simulation for robotics or autonomous systems., • Proficient coding skills with expertise in modern deep learning frameworks (e.g., PyTorch, JAX, TensorFlow, etc.)., • Prior publication(s) in top-tier AI/ML conferences.Bonus Qualifications, • Probabilistic and generative modeling., • Autonomous driving datasets., • Open-source foundation models., • Amazon Web Services (e.g., S3, EC2, SageMaker, etc.).Please include links to any relevant open-source contributions or technical project write-ups with your application. The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding these benefit plans will be provided if an employee receives an offer of employment. Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information. TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws. 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. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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 Atomic Machines is building the Matter Compiler™, the first in a new class of AI-native, all-digital manufacturing systems that build working machines directly from code. The Matter Compiler (MC) is aimed at micro-machines: motors and gears the size of a grain of sand, robots small enough to work inside the body, cooling built directly into the chips that run AI, and the many devices like them that have been waiting on a way to build them. Its first product is PrimeSwitch™, an electromechanical power relay the size of a button battery that carries 150 amps continuous current and opens in 50 microseconds, about a thousand times faster than a conventional contactor. Founded by Jeff Holden — serial entrepreneur, ex-Amazon SVP and Uber's first Chief Product Officer — the company has raised $250 million to date. Atomic Machines is based in the San Francisco Bay Area, with offices in Emeryville and Santa Clara. About The Role: The Matter Compiler runs on a fleet of nodes that control real-world equipment. Every build, release, and deployment that reaches that fleet goes through infrastructure this role owns: the build system for a multi-package monorepo that ships to several architectures, the CI/CD pipeline from push to green, the artifact store and shared cache, and the path that deploys software to about 80 nodes today and thousands of devices across several metros by 2027. You will own this infrastructure end to end: design, build, operate, and improve. You will decide what gets automated and what stays manual. You will set the blast-radius limits that stop a bad build from reaching the whole fleet. You will define the signals that tell us CI is degrading before engineers notice. And you will make the engineers around you change how they work, because at Staff, adoption is the job. Hardware experience is not required. What this role needs is the ability to decompose ambiguous system failures, reason across abstraction layers, and own problems that cross team and org boundaries. What You'll Do: • Own the build system for a 40-package monorepo that targets three architectures: hermetic builds, honest lockfiles, change detection, and a shared remote cache keyed on real inputs., • Own CI/CD end to end, including rollback. Measure push-to-green, queue depth, and fetch error rate. Drive the numbers down and show the result., • Design and operate the fleet deployment path: immutable artifacts, staged rollout, version handshake, drift detection, and an abort path that does not depend on the deploy script., • Define the production signals and thresholds for pipeline health, and the runbook an on-call engineer can run without you. Turn runbook steps into pipeline checks and auto-remediation where it pays back., • Own build-runner security as a blast-radius problem: short-lived credentials, scoped IAM, rotation as a mechanism, secret scanning in CI., • Work with IT on the GitLab, network, and identity boundaries. Ask where the boundary is instead of assuming it., • Remove toil with a number attached: what engineers did by hand before, how often, and what they do by hand now., • Drive adoption across teams that do not report to you. Make the new way the default and the old way slower., • Raise reliability standards without blocking delivery. Encode what you learn from incidents into systems, not reminders. What You'll Need:, • Ownership of a build system for a repository with many packages and more than one build target, including what was wrong with it and what you changed., • Ownership of a CI/CD system end to end, including rollback, with an opinion on what made deployments safer over time., • Deep fundamentals in build reproducibility and caching: why a test passes locally and fails in CI, what belongs in a cache key, and how a correct key can still serve a wrong artifact., • Deep fundamentals in fleet deployment: why mutable tags cause drift, how to deploy by digest, and how a node that has been offline rejoins production safely., • Experience designing failure paths that are concrete: what times out, what safe state is left behind, and what the next engineer sees., • A record of production incidents you diagnosed to root cause, with a mechanism, a measurement, and a fix., • A record of getting other engineers to adopt infrastructure you built, and the lever you used., • Candor about what you are not good at, and ownership of outcomes, including the ones that went wrong., • Fluency with AI tools in your daily engineering work, while owning the decisions, code, and results you accept., • Ability to work onsite five days per week Bonus Points For:, • Experience deploying software to distributed nodes that control physical equipment., • Experience with GitLab CI, Ansible, OIDC/STS-based credential flows, and artifact stores at scale., • Experience operating infrastructure through a growth phase from tens to thousands of endpoints. The compensation for this position also includes equity and benefits. Salary Range $180,000—$230,000 USD Atomic Machines is an equal opportunity employer that values diversity and does not discriminate based on characteristics protected by applicable law. We are committed to an inclusive interview experience, including for individuals with disabilities. To request an accommodation, contact rc@atomicmachines.com. To help our recruiting team manage application volume and respond to candidates more efficiently, Atomic Machines may use AI-assisted tools.

Job DescriptionRequisition ID: 107824-1 Title: AI Solutions & Experience Lead (Forward Deployed Engineering) Duration: 6-12 months with possible extension Location: Sunnyvale, WA Salary Range: $70- $75 an hour on W2/C2C Job Description: Forward Deployed Engineering; AI; RAG; LLM; vector database ; SQL; Digital : Python; Digital : ReactJS; TypeScript; Digital : Application Programming Interface (API); GraphQL; REST API; Data Architecture and Modeling; Digital : Docker; Digital : Client Azure; Digital : Amazon Web Service(AWS) Cloud Computing; prompt engineering; ML Flow; Lang Chain; LangGraph; CrewAI; Workflow Automation & Integrations; System Architecture Knowledge; Digital : Microservices; Copilot; cursor,Soft Skills; GIthub,The AI Solutions & Experience Lead plays a strategic role in driving workflow transformation through the Forward Deployed Engineering (FDE) framework. By embedding engineers directly within business units, this position collaborates closely with teams to redesign operational processes, deliver production-ready solutions using AI that can be successfully scaled into enterprise-wide platform capabilities. Core Responsibilities Partner directly with teams across Communications, Legal, and Enterprise Engineering to redesign work with AI. Embed with customer teams to understand their workflows, identify opportunities, and build AI solutions that deliver measurable business value. Own technical delivery from prototype through production, balancing speed, quality, and long-term maintainability. Build full-stack AI applications, agents, automations, and integrations that transform how work gets done. Lead rapid prototyping, remove blockers, and contribute directly in the code when needed. Drive adoption by partnering closely with customers through deployment and iteration. Turn successful customer solutions into reusable platforms, services, and playbooks that accelerate future deployments. Partner with Platform Engineering and Product teams to feed customer learnings back into our core AI capabilities. Required Skills 12 years of experience in engineering, infrastructure, developer tools, applied AI, or customer engineering environments Deep curiosity around AI-native software development and strong instincts for how AI changes engineering workflows Strong technical judgment and the ability to operate credibly with senior engineers and executives Experience building and shipping production systems in fast-moving environments Strong product instincts and systems thinking Comfortable operating with ambiguity and minimal process Excellent communication and customer leadership skills Strong sense of ownership and urgency" Role Descriptions: The AI Solutions Experience Lead plays a strategic role in driving workflow transformation through the Forward Deployed Engineering FDE framework By embedding engineers directly within business units this position collaborates closely with teams to redesign operational processes deliver productionready solutions using AI that can be successfully scaled into enterprisewide platform capabilities Core Responsibilities Partner directly with teams across Communications Legal and Enterprise Engineering to redesign work with AI Embed with customer teams to understand their workflows identify opportunities and build AI solutions that deliver measurable business value Own technical delivery from prototype through production balancing speed quality and longterm maintainability Build fullstack AI applications agents automations and integrations that transform how work gets done Lead rapid prototyping remove blockers and contribute directly in the code when needed Drive adoption by partnering closely with customers through deployment and iteration Turn successful customer solutions into reusable platforms services and playbooks that accelerate future deployments Partner with Platform Engineering and Product teams to feed customer learnings back into our core AI capabilities Required Skills 12 years of experience in engineering infrastructure developer tools applied AI or customer engineering environments Deep curiosity around AInative software development and strong instincts for how AI changes engineering workflows Strong technical judgment and the ability to operate credibly with senior engineers and executives Experience building and shipping production systems in fastmoving environments Strong product instincts and systems thinking Comfortable operating with ambiguity and minimal process Excellent communication and customer leadership skills Strong sense of ownership and urgency Essential Skills: Forward Deployed Engineering AI RAG LLM vector database SQL Digital Python Digital ReactJS TypeScript Digital Application Programming Interface API GraphQL REST API Data Architecture and Modeling Digital Docker Digital Client Azure Digital Amazon Web ServiceAWS Cloud Computing prompt engineering ML Flow Lang Chain LangGraph CrewAI Workflow Automation Integrations System Architecture Knowledge Digital Microservices Copilot cursorSoft Skills GIthub Desirable Skills: Keyword: Skills: Digital : Client Azure~Digital : Python~Digital : Amazon Web Service(AWS) Cloud Computing~Digital : ReactJS~Digital : Microservices Experience Required: 10 & Above Appreciate your quick response and please feel free to reach me out for any query you may have. Thanks

Job Description Indent : PSL307129-2-1 Role : Principal Integration Engineer Location : New York, NY 10005 (Hybrid) Rate: $72/hr Need strong exp with capital market Exp : 15 We are seeking a highly skilled and experienced Principal Engineer to join our Engineering team. As a Principal Engineer, you will be responsible for leading the design, development, and implementation of our brokerage systems. You will work closely with our engineering team and other stakeholders to create scalable, low latency, and highly available trading systems. What You'll Do • Responsible for the technical architecture, design and delivery of high performance, low-latency brokerage systems using Java/Golang, • Assesses the health and performance of software applications and databases and provides software and technology solutions, • Design, develop, and maintain REST APIs and microservices., • Work with the Broker Dealer Operations teams to support and enhance the trading and backend system for multiple asset classes like Equities, Options, Mutual Funds etc, • Define specifications and develops components, modifies existing software stack, prepare test data, and prepares functional specifications, • Analyze Service and application performance using various programming, • languages, tools and techniques, • Develop and maintain automated testing frameworks and CI/CD pipelines, • Provide technical leadership and mentorship to the engineering team, • Provide guidance to non-technical staff in using software and hardware systems most effectively and efficiently, • Support applications with an understanding of system integration, test planning, scripting, and troubleshootingYou Bring, • Bachelor's degree in Computer Science or related field or equivalent experience, • At least 10 years of experience in Software Engineering with expertise in Java, • Must understand Test Driven Development and how to write effective unit/integration tests, • Strong understanding of CI/CD and automated testing frameworks, • Proficient in developing and maintaining robust REST APIs and implementing sophisticated event-driven architectures with Kafka and Kubernetes, • Background in financial technology or capital markets is required, • Proficient in No SQL, SQL and Stored Procedures such as in Postgres, MySQL, • Experience with Unix, Linux Operating Systems, • Knowledge of Jira, Git, Jenkins, • Experience with a 24x7, highly-available architecture, • Strong experience with Amazon Web Services, • Experience with Scrum and other Agile processes, • Strong communication skills, • Strong analytical and problem-solving skillsSpecial Knowledge (Nice to Have, But Not Required), • Experience with Amazon Web Services, • Experience with Linux and writing scripts to extract and transform data, • Multiple years experience in fin-tech specifically Post Trade, Payment or SaaS

Job Description Atomic Machines is building the Matter Compiler™, the first in a new class of AI-native, all-digital manufacturing systems that build working machines directly from code. The Matter Compiler (MC) is aimed at micro-machines: motors and gears the size of a grain of sand, robots small enough to work inside the body, cooling built directly into the chips that run AI, and the many devices like them that have been waiting on a way to build them. Its first product is PrimeSwitch™, an electromechanical power relay the size of a button battery that carries 150 amps continuous current and opens in 50 microseconds, about a thousand times faster than a conventional contactor. Founded by Jeff Holden — serial entrepreneur, ex-Amazon SVP and Uber's first Chief Product Officer — the company has raised $250 million to date. Atomic Machines is based in the San Francisco Bay Area, with offices in Emeryville and Santa Clara. About The Role: Atomic Machines is building autonomous manufacturing systems that combine a core robotics platform with a diverse set of manufacturing processes. As Director of Electrical Engineering, you'll lead Electrical Engineering in developing electronics and electrical architectures spanning core motion control hardware, sensor/actuator interfaces, and specialized manufacturing systems. You will also lead an Electrical Integration team in defining interconnect strategy and driving interconnect diagrams (ICDs), harness design and procurement, system bring-up, and integration. You'll organize development across the core robotics platform and manufacturing process portfolio while building a cohesive, scalable electrical architecture. Working proactively with cross-functional partners, the CTO, and EE technical leaders, you'll uncover needs, align priorities, and balance shared platforms with process-specific designs. What You'll Do: • Shape electrical engineering strategy across the core robotics platform and manufacturing process portfolio. Proactively uncover cross-functional needs and translate them into a roadmap, priorities, resource plans, and clear commitments., • Build a cohesive, scalable electrical architecture across robotics and process systems. Work with the CTO and technical leaders to establish shared platforms and interfaces, balancing reuse with specialized requirements., • Drive end-to-end delivery. Lead electronics development and electrical integration, including interconnect strategy, interconnect diagrams (ICDs), harness design and procurement, system bring-up, and verification; manage dependencies and adapt plans as requirements evolve., • Provide deep technical leadership. Lead rigorous design reviews, challenge assumptions, and guide engineers through consequential tradeoffs and difficult technical problems., • Set and enforce organization-wide EE standards. Establish consistent practices for design review, documentation, verification, and release, including work outside the core EE team., • Ensure robust electrical systems. Address safety, protection, reliability, manufacturability, and serviceability throughout development, including specialized and high-voltage hardware., • Build and develop the organization. Hire and coach strong engineers and leaders, delegate ownership, and establish clear expectations for quality and execution. What You'll Need:, • Deep electrical engineering expertise, with the ability to reason from fundamentals, evaluate architecture and detailed designs, and provide credible technical guidance on complex problems., • Experience delivering complex electromechanical systems from design through bring-up, integration, validation, and operation., • A track record of organizing development across varied systems, balancing specialized requirements with shared architecture, reuse, and scalability., • Proactive cross-functional leadership: uncovering needs, shaping requirements, developing technical roadmaps, and securing alignment through execution., • Experience building and leading strong engineering organizations, including hiring, coaching, developing leaders, managing performance, and delegating ownership., • Experience establishing engineering standards across distributed teams and driving accountability beyond direct reporting lines., • A bachelor's or master's degree in Electrical Engineering or a related discipline, or equivalent practical experience. Additional Experience We Value:, • Electrical engineering leadership in autonomous machinery, robotics, advanced manufacturing, or similarly complex equipment., • Design and validation of specialized electrical systems for manufacturing or other physical processes, including high-voltage or precision power applications. The compensation for this position also includes equity and benefits. Salary Range $200,000—$260,000 USD Atomic Machines is an equal opportunity employer that values diversity and does not discriminate based on characteristics protected by applicable law. We are committed to an inclusive interview experience, including for individuals with disabilities. To request an accommodation, contact rc@atomicmachines.com. To help our recruiting team manage application volume and respond to candidates more efficiently, Atomic Machines may use AI-assisted tools.

Job Description About Knightscope Knightscope (NASDAQ: KSCP) is a security technology company building the nation's first Autonomous Security Force — autonomous machines, AI-driven software, and elite security professionals operating as one integrated managed service. The Company is on a mission to make the United States of America the safest country in the world. One Team. One Force. About the Role Knightscope is seeking a Senior Full Stack Engineer to design, build, and own the web platform powering the Signals intelligence platform and the ASR robot software stack across our full fleet — including the K1, K1Hv2, H1, K5, and K7. Signals is a complex, multi-layered web application integrating live robot telemetry, AI-driven alert management, real-time audio/video streaming, and a 3D digital twin visualization layer. This role is the bridge between backend services and the operator-facing experience — you will own full-stack feature delivery from RESTful API design through frontend implementation, and contribute to the architectural decisions that shape how security operators interact with a nationwide robot fleet. Location Requirement: Full-time, on-site at Sunnyvale HQ (No relocation provided) Key Responsibilities • Design and build scalable RESTful and GraphQL APIs supporting live media pipelines, alert management, reporting, investigation workflows, and 3D digital twin data feeds., • Develop highly responsive, accessible web interfaces for the Signals platform — including real-time dashboards, alert management views, investigation workspaces, and multi-stream video review with timeline scrubbing, frame-based navigation, and playback controls., • Architect and implement the 3D digital twin layer: real-time synchronization between physical robot state and digital environment using Three.js, Babylon.js, Cesium, or WebGL; sensor/telemetry data integration into live spatial visualizations., • Build and maintain live and recorded media pipeline integrations: WebRTC, RTSP, HLS, MP4 playback, and media storage/retrieval via AWS S3 and equivalent cloud services., • Integrate network camera APIs and device controls (Axis VAPIX, ONVIF, or equivalent) into Knightscope platforms., • Build backend services for media indexing, retrieval, playback logging, and archival using AWS S3/Glacier or equivalent., • Contribute to ASR robot platform software across the full fleet — including check-in/checkout flows, IMU bring-up, configuration management, and streaming and storage pipelines., • Maintain high code quality through peer code reviews, automated testing, and CI/CD practices; leverage AI-assisted development tools (GitHub Copilot, Claude.ai, or equivalent) to improve productivity and code quality., • Collaborate cross-functionally with robotics, AI/ML, audio/video, DevOps, and UI/UX teams; contribute to high-level product and architectural decisions. Required Qualifications • 7–10 years of full stack software engineering experience with a strong focus on production-grade web applications; enterprise SaaS, security operations, or IoT-connected platforms strongly preferred., • Expert proficiency in React, Redux, Node.js, ES6/TypeScript, HTML5, and CSS3; experience with component-based design systems and WCAG AA accessibility standards., • Strong backend experience in Python, Java, or Node.js; proficiency with a major web framework (Django, Flask, Rails, Express, or equivalent) and RESTful/GraphQL API design., • Hands-on experience with live and recorded video/audio technologies: WebRTC, RTSP, HLS, MP4 — including frontend video player development with timeline scrubbing, frame navigation, and event markers., • Experience building 3D or 2D interactive digital twin interfaces using Three.js, Babylon.js, Cesium, or WebGL — including real-time sensor/telemetry data integration and live spatial visualization., • Solid experience with AWS services: S3, SQS, DocumentDB, Kinesis, or equivalent cloud-native media and data pipeline services., • Proficiency with SQL and NoSQL databases (MySQL, MongoDB, Amazon DocumentDB, or equivalent); experience with media indexing and retrieval patterns., • Familiarity with network camera APIs and protocols (Axis VAPIX, ONVIF, or equivalent) is a strong differentiator., • Experience with FedRAMP compliance or U.S. Government security protocols is a plus., • BS in Computer Science, Software Engineering, or related field — or equivalent professional experience. Compensation & Benefits • Base Salary: $185,000 – $250,000 (DOE), • Equity: Stock options, • Benefits: Medical, dental, vision, 401(k), paid time off, • Location Requirement: Full-time, on-site at Sunnyvale HQ

Job DescriptionAbout Onehouse Onehouse is a mission-driven company dedicated to freeing data from data platform lock-in. We deliver the industry’s most interoperable data lakehouse through a cloud-native managed service built on Apache Hudi. Onehouse enables organizations to ingest data at scale with minute-level freshness, centrally store it, and make available to any downstream query engine and use case (from traditional analytics to real-time AI / ML). We are a team of self-driven, inspired, and seasoned builders that have created large-scale data systems and globally distributed platforms that sit at the heart of some of the largest enterprises out there including Uber, Snowflake, AWS, Linkedin, Confluent and many more. Riding off a fresh $35M Series B backed by Craft, Greylock and Addition Ventures, we're now at $68M total funding and looking for rising talent to grow with us and become future leaders of the team. Come help us build the world's best fully managed and self-optimizing data lake platform! Mission As a pre-sales systems engineer (SE) hire candidate will be responsible for customer adoption and success of the Onehouse Managed Lakehouse solution. Responsibilities • Candidate will partner alongside field sales counterpart and engineering team to lead the technical aspects of the sales cycle, • SE responsibilities include communicating product offerings, provide architecture guidance, run proof of value, and provide assistance in migration process, • SE will provide technical leadership and frame Onehouse in the best light to prospects and customers, to evoke confidence in company’s technology infrastructure, and to remove all technical objections in the sales cycleMust Haves, • 2-3 years of experience in pre-sales engineering role., • Working knowledge of Big Data Technologies including Hudi, Spark, Trino/Presto, DBT, Kafka, Airflow, Avro, Hadoop., • Demonstrated experience and expertise in one or more of AWS/GCP/Azure cloud technologies., • Experience and knowledge in cloud native services such as Amazon EMR, Amazon Redshift, Amazon Kinesis, AWS Glue, Google BigQuery, Databricks, Snowflake, Azure HDInsight, etc., • Comprehensive understanding of data warehousing, data lake, data pipelines/ETL, and analytics design patterns., • Strong communication skills in explaining technical architecture., • 3-5 years of progressive experience implementing information technology solutions, • Solutions-focused approach that requires in-depth needs analysis (discovery), • Willingness to travel to customers as needed, • Desire to work in fast-paced startup environment where change is constantCompetencies Speed and hustle → Ability to run projects from end to end on short timeframe Quick decision making Great communication skills Ability to prioritize internal and external customer Bonus Skills, • End to end knowledge architecting cloud infrastructure., • Experience with Lakehouse technologies including Apache Hudi or Delta Lake or Apache Iceberg., • Experience contributing to open source technologies.Competitive Compensation; the estimated base salary range for this role is $180,000 - $210,000-Equity Compensation; our success is your success with eligible participation in our company equity plan -Health & Well-being; we'll invest in your physical and mental well-being with up to 90% health coverage (50% for spouses/dependents) including comprehensive medical, dental & vision benefits -Financial Future; we'll invest in your financial well-being by making this role eligible to contribute to our company 401(k) or Roth 401(k) retirement plan -Location; we are a remote-friendly company (internationally distributed across N. America + India), though some roles will be subject to in-person requirements in alignment with the needs of the business -Generous Time Off; unlimited PTO (mandatory 1 week/year minimum), uncapped sick days and 11 paid company holidays -Company Camaraderie; Annual company offsites and Quarterly team onsites @Sunnyvale HQ -Food & Meal Allowance; weekly lunch stipend, in-office snacks/drinks -Equipment; we'll provide you with the equipment you need to be successful and a one-time $500 stipend for your initial desk setup -Child Bonding!; 8 weeks off for parents (birthing, non-birthing, adoptive, foster, child placement, new guardianship) - fully paid so you can focus your energy on your newest addition We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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 Atomic Machines is building the Matter Compiler™, the first in a new class of AI-native, all-digital manufacturing systems that build working machines directly from code. The Matter Compiler (MC) is aimed at micro-machines: motors and gears the size of a grain of sand, robots small enough to work inside the body, cooling built directly into the chips that run AI, and the many devices like them that have been waiting on a way to build them. Its first product is PrimeSwitch™, an electromechanical power relay the size of a button battery that carries 150 amps continuous current and opens in 50 microseconds, about a thousand times faster than a conventional contactor. Founded by Jeff Holden — serial entrepreneur, ex-Amazon SVP and Uber's first Chief Product Officer — the company has raised $250 million to date. Atomic Machines is based in the San Francisco Bay Area, with offices in Emeryville and Santa Clara. About The Role: We're looking for a sharp, proactive Accountant to join our lean finance team at Atomic Machines — someone who treats month-end close as a process to be engineered, not just executed. Reporting to the Controller, this role owns the GL close and financial reporting, while also acting as a technical partner in modernizing how our finance data moves — connecting NetSuite, our manufacturing systems, and spend-management tools into live, automated reporting over time. At Atomic Machines, we are inventing the future of how things are made. In this role, you'll build the financial foundation for a company revolutionizing micromanufacturing and digital fabrication: clean books, strong controls, and a close process that gets faster and more automated each quarter — by building (and eventually directing AI agents to help build) the pipelines and dashboards that make that possible. You'll also work directly with the Controller on the next phase of systems integration and the early build-out of an AI-forward finance function, where agentic tools become part of the team — with the judgment and guardrails to use them responsibly. This role can be based in either our Santa Clara or Emeryville office. What You'll Do: You'll own the full month-end close, and build it — over time, not overnight — toward a more automated, AI-assisted state: scoping automation carefully and putting the right guardrails in place so delegation to AI never outpaces the controls around it. Own the month-end close calendar, coordinating cutoff across AP, payroll, and operations, and build tracking tools that reduce manual chasing. Prepare and post journal entries with full supporting documentation; identify good candidates for templated or AI-assisted drafting, with appropriate review steps. Complete key balance sheet reconciliations (bank, prepaid, fixed assets, accrued liabilities, deferred items), moving toward scripted workflows with exception-flagging rather than blind automation. Prepare the monthly financial statements package for Controller review, including flux analysis and variance commentary, working toward live, auto-refreshing reporting as data pipelines mature. Maintain a clean, audit-ready general ledger, building in automated checks incrementally as you learn where the real risk sits. Build and maintain data pipelines that pull from NetSuite, manufacturing systems, and spend-management tools into a single source of truth, via scripts, API connections, and AI-assisted tooling — grounded in a real understanding of how NetSuite is configured and how data flows through it, since that's what makes the automation actually hold up. Design live, HTML/dashboard-style reporting that refreshes on current data, working toward a continuous close. Scope what should and shouldn't be automated or delegated to AI — knowing the difference between a task that's safe for an agent and one that needs a human in the loop, and building guardrails (data handling, review gates, audit trail) around every AI-assisted workflow. Partner with the Controller on NetSuite optimization and the next waves of system integration as the business scales. Contribute to a central data repository for product cost models. Support tax and audit preparation by organizing financial data and schedules for external parties. What You'll Need: 3+ years of accounting experience, ideally with manufacturing, hardware, or capital-intensive exposure. Real, hands-on comfort with technology beyond Excel — you've used scripts, APIs, or AI tools to solve a data or reporting problem. Comfortable using AI tools to build and maintain things — even if you're not a "coder," you're unafraid to ask an AI to generate a script, run it, and figure out why it broke. Good judgment about automation risk — you can tell a low-stakes task safe to delegate to AI from a high-stakes one needing human review, and default to building guardrails. Open to growing your technical skillset over time, including basic Python or SQL, as needs evolve. A first-principles mindset — you question assumptions and rebuild processes from the ground up. Strong GAAP knowledge, with working knowledge of leases, debt, equity, revenue recognition, and inventory accounting. Experience with NetSuite or a similar scaled ERP system. High ownership and strong communication — able to explain both accounting logic and technical tradeoffs. Bachelor's degree in Accounting or Finance. Bonus Points For: Direct, hands-on NetSuite experience (beyond general ERP familiarity). Experience building automation or dashboards with Python, Google Apps Script, or low-code/no-code tools. Direct experience using AI coding assistants (Claude Code, Cursor, Copilot, etc.) or agentic workflows in finance. CPA or CPA-track. Big 4 experience. The compensation for this position also includes equity and benefits. Salary Range $150,000—$175,000 USD Atomic Machines is an equal opportunity employer that values diversity and does not discriminate based on characteristics protected by applicable law. We are committed to an inclusive interview experience, including for individuals with disabilities. To request an accommodation, contact rc@atomicmachines.com. To help our recruiting team manage application volume and respond to candidates more efficiently, Atomic Machines may use AI-assisted tools.

Job DescriptionAbout Onehouse Onehouse is a mission-driven company dedicated to freeing data from data platform lock-in. We deliver the industry’s most interoperable data lakehouse through a cloud-native managed service built on Apache Hudi. Onehouse enables organizations to ingest data at scale with minute-level freshness, centrally store it, and make available to any downstream query engine and use case (from traditional analytics to real-time AI / ML). We are a team of self-driven, inspired, and seasoned builders that have created large-scale data systems and globally distributed platforms that sit at the heart of some of the largest enterprises out there including Uber, Snowflake, AWS, Linkedin, Confluent and many more. Riding off a fresh $35M Series B backed by Craft, Greylock and Addition Ventures, we're now at $68M total funding and looking for rising talent to grow with us and become future leaders of the team. Come help us build the world's best fully managed and self-optimizing data lake platform! *If not local to Bay Area, you must be willing to relocate within 45 days and onboard in person for one week. Relocation package provided. The Community You Will Join When you join Onehouse, you're joining a team of passionate professionals tackling the deeply technical challenges of building a 2-sided engineering product. Our engineering team serves as the bridge between the worlds of open source and enterprise: contributing directly to and growing Apache Hudi (already used at scale by global enterprises like Uber, Amazon, ByteDance etc) and concurrently defining a new industry category - the transactional data lake. The Data Infrastructure team is the grounding heartbeat to all of this. We live and breathe databases, building cornerstone infrastructure by working under Hudi's hood to solving incredibly complex optimization and systems problems. The Impact You Will Drive: • As a foundational member of the Data Infrastructure team, you will productionize the next generation of our data tech stack by building the software and data features that actually process all of the data we ingest., • Accelerate our open source <> enterprise flywheel by working on the guts of Apache Hudi's transactional engine and optimizing it for diverse Onehouse customer workloads., • Act as a SME to deepen our teams' expertise on database internals, query engines, storage and/or stream processing.A Typical Day:, • Design new concurrency control and transactional capabilities that maximize throughput for competing writers., • Design and implement new indexing schemes, specifically optimized for incremental data processing and analytical query performance., • Design systems that help scale and streamline metadata and data access from different query/compute engines., • Solve hard optimization problems to improve the efficiency (increase performance and lower cost) of distributed data processing algorithms over a Kubernetes cluster., • Leverage data from existing systems to find inefficiencies, and quickly build and validate prototypes., • Collaborate with other engineers to implement and deploy, safely rollout the optimized solutions in production.What You Bring to the Table:, • Strong, object-oriented design and coding skills (Java and/or C/C++ preferably on a UNIX or Linux platform)., • Experience with inner workings of distributed (multi-tiered) systems, algorithms, and relational databases., • You embrace ambiguous/undefined problems with an ability to think abstractly and articulate technical challenges and solutions., • An ability to prioritize across feature development and tech debt with urgency and speed., • An ability to solve complex programming/optimization problems., • An ability to quickly prototype optimization solutions and analyze large/complex data., • Robust and clear communication skills., • Nice to haves (but not required):, • Experience working with database systems, Query Engines or Spark codebases., • Experience in optimization mathematics (linear programming, nonlinear optimization)., • Existing publications of optimizing large-scale data systems in top-tier distributed system conferences., • PhD degree with 2+ years industry experience in solving and delivering high-impact optimization projects.How We'll Take Care of You -Competitive Compensation; the estimated base salary range for this role is $215,000 - $250,000-Equity Compensation; our success is your success with eligible participation in our company equity plan -Health & Well-being; we'll invest in your physical and mental well-being with up to 90% health coverage (50% for spouses/dependents) including comprehensive medical, dental & vision benefits -Financial Future; we'll invest in your financial well-being by making this role eligible to contribute to our company 401(k) or Roth 401(k) retirement plan -Location; we are a remote-friendly company (internationally distributed across N. America + India), though some roles will be subject to in-person requirements in alignment with the needs of the business -Generous Time Off; unlimited PTO (mandatory 1 week/year minimum), uncapped sick days and 11 paid company holidays -Company Camaraderie; Annual company offsites and Quarterly team onsites @Sunnyvale HQ -Food & Meal Allowance; weekly lunch stipend, in-office snacks/drinks -Equipment; we'll provide you with the equipment you need to be successful and a one-time $500 stipend for your initial desk setup -Child Bonding!; 8 weeks off for parents (birthing, non-birthing, adoptive, foster, child placement, new guardianship) - fully paid so you can focus your energy on your newest addition House ValuesOne TeamOptimize for the company, your team, self - in that order. We may fight long and hard in the trenches, take care of your co-workers with empathy. We give more than we take to build the one house, that everyone dreams of being part of. Tough & Persevering We are building our company in a very large, fast-growing but highly competitive space. Life will get tough sometimes. We take hardships in the stride, be positive, focus all energy on the path forward and develop a champion's mindset to overcome odds. Always day one! Keep Making It Better AlwaysRome was not built in a day; If we can get 1% better each day for one year, we'll end up thirty-seven times better. This means being organized, communicating promptly, taking even small tasks seriously, tracking all small ideas, and paying it forward. Think Big, Act FastWe have tremendous scope for innovation, but we will still be judged by impact over time. Big, bold ideas still need to be strategized against priorities, broken down, set in rapid motion, measure, refine, repeat. Great execution is what separates promising companies from proven unicorns. Be Customer ObsessedEveryone has the responsibility to drive towards the best experience for the customer, be an OSS user or a paid customer. If something is broken, own it, say something, do something; never ignore. Be the change that you want to see in the company. Pay Range Transparency Onehouse is committed to fair and equitable compensation practices. Our job titles may span more than one career level. The pay range(s) for this role is listed above and represents the base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are dependent upon several factors that are unique to each candidate, including but not limited to: job-related skills, depth of transferable experience, relevant certifications and training, business needs, market demands and specific work location. Based on the factors above, Onehouse utilizes the full width of the range; the base pay range is subject to change and may be modified in the future. The total compensation package for this position will also include eligibility for equity options and the benefits listed above. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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 DescriptionPay Rate Range: $ 75.00 - 76.51/hr. AI Solutions & Experience Lead (Forward Deployed Engineering) Job Description: Forward Deployed Engineering; AI; RAG; LLM; vector database ; SQL; Digital : Python; Digital : ReactJS; TypeScript; Digital : Application Programming Interface (API); GraphQL; REST API; Data Architecture and Modeling; Digital : Docker; Digital : Microsoft Azure; Digital : Amazon Web Service(AWS) Cloud Computing; prompt engineering; ML Flow; Lang Chain; LangGraph; CrewAI; Workflow Automation & Integrations; System Architecture Knowledge; Digital : Microservices; Copilot; cursor,Soft Skills; GIthub,The AI Solutions & Experience Lead plays a strategic role in driving workflow transformation through the Forward Deployed Engineering (FDE) framework. By embedding engineers directly within business units, this position collaborates closely with teams to redesign operational processes, deliver production-ready solutions using AI that can be successfully scaled into enterprise-wide platform capabilities. Core Responsibilities Partner directly with teams across Communications, Legal, and Enterprise Engineering to redesign work with AI. Embed with customer teams to understand their workflows, identify opportunities, and build AI solutions that deliver measurable business value. Own technical delivery from prototype through production, balancing speed, quality, and long-term maintainability. Build full-stack AI applications, agents, automations, and integrations that transform how work gets done. Lead rapid prototyping, remove blockers, and contribute directly in the code when needed. Drive adoption by partnering closely with customers through deployment and iteration. Turn successful customer solutions into reusable platforms, services, and playbooks that accelerate future deployments. Partner with Platform Engineering and Product teams to feed customer learnings back into our core AI capabilities. Required Skills 12 years of experience in engineering, infrastructure, developer tools, applied AI, or customer engineering environments Deep curiosity around AI-native software development and strong instincts for how AI changes engineering workflows Strong technical judgment and the ability to operate credibly with senior engineers and executives Experience building and shipping production systems in fast-moving environments Strong product instincts and systems thinking Comfortable operating with ambiguity and minimal process Excellent communication and customer leadership skills Strong sense of ownership and urgency Skills: Digital : Microsoft Azure~Digital : Python~Digital : Amazon Web Service(AWS) Cloud Computing~Digital : ReactJS~Digital : Microservices Experience Required: 10 & Above Skills:CategoryNameRequiredImportanceExperienceSkillCategoryTest1_MNDigital : Microsoft AzureYes1>7 years

Job Description Atomic Machines is building the Matter Compiler™, the first in a new class of AI-native, all-digital manufacturing systems that build working machines directly from code. The Matter Compiler (MC) is aimed at micro-machines: motors and gears the size of a grain of sand, robots small enough to work inside the body, cooling built directly into the chips that run AI, and the many devices like them that have been waiting on a way to build them. Its first product is PrimeSwitch™, an electromechanical power relay the size of a button battery that carries 150 amps continuous current and opens in 50 microseconds, about a thousand times faster than a conventional contactor. Founded by Jeff Holden — serial entrepreneur, ex-Amazon SVP and Uber's first Chief Product Officer — the company has raised $250 million to date. Atomic Machines is based in the San Francisco Bay Area, with offices in Emeryville and Santa Clara. About The Role: Our manufacturing system is composed of nodes; each delivers a unit of manufacturing capacity for a process, and there are a dozen or more node types. As a Software Engineer, Robotic Applications, you will bring nodes to life: designing the automation sequences, state machines, and APIs that turn integrated hardware into reliable, repeatable manufacturing capacity. Your deliverable is software, mainly Python, in the application layers of our stack: the APIs that wrap a node to automate manufacturing processes, the orchestration that sequences motion, vision, and process steps for throughput, and the calibration and diagnostic tooling that lets us replicate nodes and keep them healthy. You will work shoulder to shoulder with mechanical, electrical, and process engineers through bring-up: one week defining machine behavior with a mechanical designer, the next chasing cycle time out of a motion sequence or root-causing a failure that crosses the software/hardware boundary. You can try code on the machine in the morning and land it as a tested, typed package through CI in the afternoon. What You'll Do: • Design and implement machine behavior: automation sequencing, state machines, failure detection and recovery, and the APIs that expose it all., • Write code that makes unsafe commands impossible rather than merely discouraged: enforce invariants, validate before touching hardware, and leave the machine in a known state on every exit path., • Ship a simulator or mock with every device, test sequencing, timing, and recovery without the machine, and extend the conformance suite every machine runs in CI., • Optimize cycle time: instrument sequences, find where time goes, and overlap or restructure motion/vision/process steps to get it back., • Bring up new hardware with cross-functional teams, and build the calibration, verification, and diagnostic tools that make the next copy of a machine faster to stand up., • Debug across the stack: from a misbehaving sensor or homing failure up through orchestration logic, using logs, telemetry, and the machine itself., • Contribute to system reliability through observability that shows a machine degrading before it stops, fault handling, and graceful recovery, so machines run without babysitting., • Take a turn on the on-call rotation: periodically a one-week shift that includes the weekend (about once every 10 weeks; less frequently as the company grows and eventually transitioning to dedicated support teams)., • Current coverage slots are 6am–2pm or 2pm–10pm, and you will not be expected to work beyond the shift for those days. What You'll Need:, • 3+ years developing software for systems that interact with hardware or the physical world (level set by experience and interview performance, • Depth on something you built: at least one system you can take us two layers down into, what you wrote, why that design, what broke, and how you found it., • Strong programming fundamentals and fluent Python: you will write and debug Python every day, and every coding exercise in our interview is in Python. If your strongest language is something else, you are welcome if you can work in Python live; it does not need to be polished., • A first-principles mindset: you reason about why a design works, not just how you've seen it done., • Practical understanding of state machines, sequencing, and failure modes in systems where software drives physical hardware: what is legal from the current state, what must still hold when a step fails halfway, and why an operation that may be retried must be safe to repeat., • Systematic debugging habits, starting from the symptom and reaching the mechanism, and the collaboration skills to chase problems across the software/electrical/mechanical boundary., • BS in CS, EE, ME, Mechatronics, Robotics, or equivalent experience. Bonus Points For:, • Experience bringing up and integrating electromechanical systems (sensors, actuators, motion axes) in production environments., • Working fluency in a systems language (C++, Rust, Go); our motion stack is C++ and it helps to read it., • Robotics depth where this job uses it: kinematics, motion planning, vision-based alignment, calibration (hand-eye, kinematic, galvo scan-field), and a track record of landing it in shipped systems., • Experience with hardware-in-the-loop test design, observability, or simulation and digital-twin validation beyond unit-level mocks., • Realtime or embedded experience (valuable on adjacent teams; not required here). The compensation for this position also includes equity and benefits. Salary Range $170,000—$230,000 USD Atomic Machines is an equal opportunity employer that values diversity and does not discriminate based on characteristics protected by applicable law. We are committed to an inclusive interview experience, including for individuals with disabilities. To request an accommodation, contact rc@atomicmachines.com. To help our recruiting team manage application volume and respond to candidates more efficiently, Atomic Machines may use AI-assisted tools.

Amazon Leo is Amazon‘s low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. The Role In this role, you will participate in all phases of software development from requirements through implementation and test to operations. Our team tackles many critical satellite functions: power management, hardware interfaces, command & telemetry, and autonomous control. Job Responsibilities • Develop embedded software in C, C++, Rust, or other languages in a real-time operating system environment, • Architect, design, and implement software for satellite constellation, • Write software to interact with devices/electronics using I2C, SPI, RS-422, RS-485, Ethernet, etc. communications, • Write device drivers and system applications for flight code and flight management, • Work closely with hardware teams to support board bring-up and integration testing Export Control Requirement Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. BASIC QUALIFICATIONS, • 5+ years of non-internship professional software development experience, • 5+ years of programming with at least one software programming language experience, • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS, • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience, • Bachelor‘s degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company‘s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ( for more information. If the country/region you‘re applying in isn‘t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at ( . USA, CA, San Diego - 168,100.00 - 227,400.00 USD annually USA, CA, Sunnyvale - 193,300.00 - 261,500.00 USD annually USA, WA, Redmond - 168,100.00 - 227,400.00 USD annually

Amazon Leo is Amazon‘s low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. The Role In this role, you will participate in all phases of software development from requirements through implementation and test to operations. Our team tackles many critical satellite functions: power management, hardware interfaces, command & telemetry, and autonomous control. Job Responsibilities • Develop embedded software in C, C++, Rust, or other languages in a real-time operating system environment, • Architect, design, and implement software for satellite constellation, • Write software to interact with devices/electronics using I2C, SPI, RS-422, RS-485, Ethernet, etc. communications, • Write device drivers and system applications for flight code and flight management, • Work closely with hardware teams to support board bring-up and integration testing Export Control Requirement Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. BASIC QUALIFICATIONS, • 5+ years of non-internship professional software development experience, • 5+ years of programming with at least one software programming language experience, • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS, • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience, • Bachelor‘s degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company‘s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ( for more information. If the country/region you‘re applying in isn‘t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at ( . USA, CA, San Diego - 168,100.00 - 227,400.00 USD annually USA, CA, Sunnyvale - 193,300.00 - 261,500.00 USD annually USA, WA, Redmond - 168,100.00 - 227,400.00 USD annually

Job Description GenAI Front-End Engineer Focus: Embedded AI Experience, Micro-Frontend and SDK The goal is to build a reusable conversational and analytics experience that can be integrated into products owned by other teams. The UI must receive authentication, active screen context, filters and user actions from the host product, then display streamed answers, tables, charts, citations and conversation history. The integration approach may use a micro-frontend, Web Component, embedded SDK, module federation or secure iframe; experience embedding and operating a UI service within another application is the key requirement. Minimum capabilities Strong React and TypeScript production experience Proven experience embedding a UI, service or micro-frontend within another application Experience designing clean integration APIs, SDK contracts, callbacks, events and versioned interfaces Experience capturing host-application context such as the active page, filters, selected objects and user actions Experience building streaming, multi-turn GenAI interfaces with clarification flows, conversation history and error handling Experience rendering structured responses, including tables, charts, citations and reusable results Experience integrating REST and streaming APIs, authentication and token management Preferred: Experience building reusable UI SDKs or components used by multiple host applications Experience with micro-frontends, Web Components, module federation or secure iframe patterns Familiarity with MCP clients, embedded analytics or enterprise copilot products Familiarity with AWS, Amazon Bedrock and AgentCore-backed applications Location Bay Area preferred, with ability to work from the office 1 2 days per week Otherwise, must provide 4 6 hours of daily working overlap with Pacific Time EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

Job DescriptionAbout the Role We are looking for an experienced IT Onsite Support Engineer / Senior IT Onsite Support Engineer to provide advanced on-site technical support and troubleshooting across endpoints, identity and access management, networking, enterprise applications, and cloud environments. This is a hands-on engineering role requiring strong troubleshooting skills, ownership of complex incidents, and the ability to work independently while collaborating with specialized network, security, IAM, cloud, and infrastructure teams. We are looking for someone with strong organizational maturity, who takes initiative, naturally supports colleagues, and can communicate effectively with business stakeholders across the organization. Key Responsibilities • Own and resolve complex incidents and service requests escalated from L1 support while meeting established SLAs., • Help prioritize daily tasks, support peer engineers with technical escalations, and foster good operational flow within the local team., • Interact directly with local managers and business stakeholders to provide clear technical updates, manage expectations, and address priority issues with confidence., • Perform advanced troubleshooting across Windows, macOS, and Linux operating systems., • Troubleshoot endpoint management and deployment platforms such as Microsoft Intune, Jamf, ManageEngine, and MDT., • Troubleshoot Active Directory, user accounts, group memberships, permissions, credentials, and directory synchronization issues., • Diagnose identity and authentication issues involving Okta, Duo, Microsoft Authenticator, and MFA., • Support employee lifecycle processes, including onboarding, offboarding, account provisioning, access changes, and cross-platform identity issues., • Troubleshoot enterprise networking issues involving TCP/IP, DHCP, DNS, routing, VLANs, VPNs, Cisco CLI, and Cisco Client., • Provide technical support for cloud environments such as Google Cloud Platform (GCP), Microsoft Azure, and Amazon Web Services (AWS)., • Diagnose advanced configuration, synchronization, and access issues involving Microsoft Outlook, Google Workspace, Zoom, and Webex., • Support application deployment, troubleshooting, software entitlement validation, license assignment, and software asset management processes., • Perform root-cause analysis for recurring technical issues and contribute to long-term corrective solutions., • Maintain accurate technical documentation, troubleshooting procedures, and incident-resolution records., • Coordinate complex incidents with Network, Security, IAM, Cloud, Infrastructure, and other specialized technical teams.Required Skills & Experience, • Minimum 3 years of relevant hands-on experience in IT support, infrastructure support, systems administration, endpoint engineering, or a related enterprise IT role., • Strong ownership and organizational skills, with the ability to balance competing priorities and independently support departmental needs., • Excellent interpersonal and communication skills, with the confidence to interface clearly and professionally with colleagues and stakeholders at all levels., • A proactive mindset with a natural inclination to share knowledge and support fellow team members., • Strong hands-on experience supporting Windows, macOS, and Linux environments., • Strong understanding of Active Directory, identity and access management, user attributes, group memberships, and identity synchronization., • Hands-on experience with Okta, Duo, Microsoft Authenticator, MFA, or similar enterprise identity platforms., • Solid networking knowledge including TCP/IP, DHCP, DNS, routing, VLANs, VPNs, and LAN/WAN fundamentals., • Working knowledge of Cisco CLI and Cisco Client., • Experience with enterprise endpoint-management platforms such as Microsoft Intune, Jamf, ManageEngine, or MDT., • Experience supporting enterprise productivity and collaboration platforms such as Microsoft Outlook, Google Workspace, Zoom, and Webex., • Strong troubleshooting and root-cause-analysis skills with the ability to independently drive technical issues through resolution., • Ability to prioritize multiple incidents and service requests while meeting established SLAs and deadlines., • Strong documentation, customer-service, and cross-functional collaboration skills., • Excellent written and verbal communication skills in English., • Must be willing and able to work onsite 5 days per week. Preferred Qualifications • Experience working in a large, distributed enterprise IT environment., • Experience with or exposure to at least one major cloud platform: GCP, Azure, or AWS., • Experience supporting employee onboarding/offboarding and access-management processes., • Experience performing root-cause analysis and developing technical documentation or knowledge-base articles.

Job Description We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements. Primary skillset: Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL Secondary: Databricks Nice to have: Informatica/ETL. Responsibilities • Design and develop ETL processes based on functional and non-functional requirements in python / pyspark within Azure platform, • Understand the full end to end development activities from design to go live for ETL development and Azure platform Recommend and execute improvements • Document component design for developers and for broader communication., • Understand and adopt an Agile (SCRUM like) software development mindset, • Follow established processes/standards, business technology architecture for development, release management and deployment process, • Execute and provide support during testing cycles and post-production deployment, engage in peer code reviews., • Elicit, analyze, interpret business and data requirements to develop complete business solutions, includes data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life cycle management, governance, lineage, metadata and reporting elements., • Apply automation and innovation on new and on-going data platforms for those development projects aligned to business or organizational strategies., • Design, develop and implement reporting platforms (e.g. modeling, ETL, BI framework) and complex ETL frameworks that meet business requirements., • Deliver business or enterprise data deliverables (that adhere to enterprise frameworks) for various platforms/servers/applications/systems. Requirements • Proven working experience as a data engineer, • Bachelor degree or equivalent in Computer Science, • Skilled in Python object-oriented programming, • Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS, • Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora, • Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or Systems Manager, • Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms, • Skilled in SQL, • Skilled in Jenkins, • Skilled in JSON, • Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle Data Mining or Informatica, • Skilled in cloud technologies and cloud computing, • Experience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphere, • Determining causes of operating errors and taking corrective action, • Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data, • Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB, • Programming including coding, debugging, and using relevant programming languages, • Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc., • Ability to frame ideas as systems and analyzing the inputs, outputs, and process, • Experience helping an organization to plan and manage change in effort to meet strategic objectives, • Adept at managing project plans, resources, and people to ensure successful project completion, • Working with people with different functional expertise respectfully and cooperatively to work toward a common goal

Job Description Atomic Machines is building the Matter Compiler™, the first in a new class of AI-native, all-digital manufacturing systems that build working machines directly from code. The Matter Compiler (MC) is aimed at micro-machines: motors and gears the size of a grain of sand, robots small enough to work inside the body, cooling built directly into the chips that run AI, and the many devices like them that have been waiting on a way to build them. Its first product is PrimeSwitch™, an electromechanical power relay the size of a button battery that carries 150 amps continuous current and opens in 50 microseconds, about a thousand times faster than a conventional contactor. Founded by Jeff Holden — serial entrepreneur, ex-Amazon SVP and Uber's first Chief Product Officer — the company has raised $250 million to date. Atomic Machines is based in the San Francisco Bay Area, with offices in Emeryville and Santa Clara. About The Role: This is a broad-responsibility, high-judgment team leader role within the IT team. The Senior Manager, Network and Information Security is a strategic leadership role responsible for architecting, building, and governing the enterprise network and security infrastructure across a high-tech manufacturing environment. This role blends deep technical expertise in network architecture, cloud networking, and cybersecurity with people management to develop and lead a small team of engineers and vendor resources to deliver secure, resilient, and scalable connectivity across all production and corporate sites. This position serves as the principal authority on network and security, working cross-functionally with IT, engineering, and business stakeholders to align network capabilities with manufacturing operational goals. This is a full-time, onsite position based in either our Emeryville or Santa Clara office, with occasional work from the other office as needed. What You'll Do: • Leadership, Team and Vendor Management, • Directly supervise, mentor, and develop a very small team of network and security engineers, providing technical guidance, and career development for internal members., • Set team priorities, manage workloads, and ensure 24/7 network operational coverage through effective on-call rotation and escalation protocols., • Foster a culture of continuous improvement, knowledge sharing, and operational excellence within the network security team., • Recruit, onboard, and retain top networking and security talent aligned with the organization's growth roadmap., • Manage external network and security vendors, holding all parties accountable to defined SLAs, quality standards, and outcomes., • Network Architecture and Design, • Lead and own the end-to-end enterprise network architecture strategy, including LAN/WAN, SD-WAN, wireless, interconnects, and OT/IT segmentation., • Architect scalable, high-availability network solutions that support manufacturing operations, IoT devices, and enterprise applications., • Evaluate and recommend emerging network technologies, vendors, and platforms to address capability gaps and future-state requirements., • Develop and maintain comprehensive network architecture drawings, topology diagrams, standards documentation, and lifecycle roadmaps., • Lead routing and switching design, including BGP, OSPF, VLAN segmentation, QoS, and equipment lifecycle management., • AWS Cloud Networking, • Design, implement, and manage AWS networking constructs including VPCs, Transit Gateways, Direct Connect, VPN connections, Security Groups, and NACLs., • Architect hybrid connectivity between on-premises manufacturing sites and AWS cloud environments, ensuring low-latency, secure, and resilient integration., • Partner with engineering and DevOps teams to define and enforce network guardrails, tagging standards, and AWS Organizations-level networking policies., • Optimize AWS networking costs and performance through right-sizing, traffic engineering, and architectural reviews., • Network Security, • Lead the design and enforcement of network security policies, including firewall rule management, zero-trust network access (ZTNA), network access control (NAC), and micro-segmentation., • Oversee network vulnerability assessments and penetration test scoping; ensure timely remediation and deliver clear risk assessment reports to stakeholders., • Manage the installation, configuration, and lifecycle of firewalls, IDS/IPS, proxies, and related security appliances., • Support compliance activities (e.g., NIST, SOC 2, ISO 27001, etc.) through network controls documentation, audit evidence, and remediation execution., • Create management processes to keep all network equipment current and hardened against known vulnerabilities., • Work with team members to facilitate Purple Team and Table Top Exercises., • Operations & Incident Management, • Lead day-to-day network operations, ensuring high availability, performance, and reliability across all enterprise and manufacturing network segments., • Resolve break/fix incidents on network security systems, serving as the senior technical escalation point for both internal engineers and external vendors., • Oversee network monitoring platforms (e.g., Grafana, Datadog, LogicMonitor, etc); define alerting thresholds, dashboards, and response runbooks., • Lead incident response for high-severity network outages, serving as the escalation point from the 24/7 operational support team., • Drive root cause analysis (RCA) investigations; author and publish detailed RCA reports and corrective action plans for senior leadership., • Manage ticketing workflows, ensuring SLA adherence for network-related work orders and user-reported issues., • Stakeholder Collaboration & Governance, • Act as the primary network engineering liaison to IT leadership, OT engineering, manufacturing operations, and engineering teams., • Participate in capacity planning, capital expenditure budgeting, and vendor contract negotiations for network infrastructure., • Present network strategy, risk posture, and project updates to IT leadership and business stakeholders. What You'll Need:, • 10+ years of progressive network engineering experience, with at least 3 years in a people management or technical lead role., • Demonstrated experience architecting enterprise-grade network solutions in a manufacturing, industrial, or highly regulated environment., • 5+ years of hands-on experience with AWS networking services (VPC, Transit Gateway, Direct Connect, Route 53, WAF, Security Groups)., • Proven experience in network security device management including NGFWs (Palo Alto, Fortinet, Cisco), IDS/IPS, NAC, CASB/SASE, and Web Filtering platforms., • Strong background in routing and switching protocols: BGP, OSPF, EIGRP, MSTP, VLANs, and QoS., • Experience with wireless network design and management (Cisco Meraki, Aruba, or equivalent) across large, distributed campuses., • Certification(s) in CCNP Enterprise or CCIE, AWS Certified Advanced Networking – Specialty, CISSP or CISM, Palo Alto PCNSE, AWS Solutions Architect – Professional, ITIL v4 Foundation, etc., • Bachelor's degree in Computer Science, Information Technology, Network Engineering, or related field. Equivalent experience considered. Technical Skills:, • Network platforms Cisco (IOS-XE/XR/NX-OS), Palo Alto, Juniper, Meraki, Fortinet, • Cloud Networking: AWS VPC, Transit Gateway, Direct Connect, VPN, WAF, Security Groups, NACLs, • Security Tools: Firewalls, IDS/IPS, SIEM (Rapid7/Splunk/Palo Alto), NAC (Cisco FrISE/Aruba ClearPass), Vulnerability Scanners, • Protocols: BGP, OSPF, EIGRP, STP/MSTP, VXLAN, DMVPN, MPLS, 802.1x, QoS, • Wireless: Enterprise Wi-Fi 6/6E, WPA3, WLAN controllers, RF design and site surveys The compensation for this position also includes equity and benefits. Salary Range $250,000—$290,000 USD Atomic Machines is an equal opportunity employer that values diversity and does not discriminate based on characteristics protected by applicable law. We are committed to an inclusive interview experience, including for individuals with disabilities. To request an accommodation, contact rc@atomicmachines.com. To help our recruiting team manage application volume and respond to candidates more efficiently, Atomic Machines may use AI-assisted tools.

Job Description Indent : SFOP209178-2 Role : Senior Java / Spring Boot Developer Location : Scottsdale, AZ (Hybrid) Rate: $65 to $70/hr 3-month Project Mandatory Technical Skills Java 17 Spring Boot 3.x REST API design and development JWT validation and claims processing OAuth 2.0 and token-based security JSON Web Key Sets, public/private keys and certificate handling Docker and containerised application development Unit and integration testing Error handling and API response mapping Git-based source control CI/CD pipeline configuration Strong debugging and problem-solving capabilities Preferred Skills Experience with Okta or a comparable identity platform. Understanding of OAuth client assertion flows. Exposure to AWS KMS signing and key-management integration. Experience deploying applications to Kubernetes or Amazon EKS. Familiarity with GitLab CI and Harness CD. Familiarity with API gateways, preferably Tyk. Experience implementing observability using Honeycomb or similar tooling. Experience supporting performance testing with Gatling. Understanding of application-security practices for authentication and token services.

Job Description Atomic Machines is building the Matter Compiler™, the first in a new class of AI-native, all-digital manufacturing systems that build working machines directly from code. The Matter Compiler (MC) is aimed at micro-machines: motors and gears the size of a grain of sand, robots small enough to work inside the body, cooling built directly into the chips that run AI, and the many devices like them that have been waiting on a way to build them. Its first product is PrimeSwitch™, an electromechanical power relay the size of a button battery that carries 150 amps continuous current and opens in 50 microseconds, about a thousand times faster than a conventional contactor. Founded by Jeff Holden — serial entrepreneur, ex-Amazon SVP and Uber's first Chief Product Officer — the company has raised $250 million to date. Atomic Machines is based in the San Francisco Bay Area, with offices in Emeryville and Santa Clara. About The Role: As an Electromechanical Prototype Technician, you will be responsible for executing complex build procedures across a diverse range of R&D and engineering-driven projects. This role demands proficiency in interpreting detailed CAD models, electrical schematics, and mechanical drawings to fabricate, assemble, and validate prototype systems. You'll be expected to apply advanced knowledge of electrical wiring, soldering, and harness fabrication, alongside mechanical assembly techniques including pneumatic plumbing and additive manufacturing. Success in this position requires a strong grasp of electromechanical integration, including troubleshooting multi-domain systems involving sensors, actuators, and embedded controllers. You will collaborate closely with design engineers to iterate on prototypes, provide feedback for design improvements, and ensure builds meet functional and safety specifications. Prior hands-on experience in a development or prototyping environment is essential, particularly in fast-paced settings where adaptability and precision are critical. What You'll Do: • Assemble, rework, troubleshoot, maintain, and test new machine designs used in complex automated manufacturing processes., • Perform surface-mount and through-hole PCB soldering, wire harness fabrication, system integration, and electrical troubleshooting., • Collaborate with engineering teams to develop electromechanical assembly documentation and detailed work instructions., • Operate manual mills, manual lathes, laser cutters, 3D printers, and various power and hand tools to fabricate and assemble prototype fixtures and assemblies., • Work cross-functionally to meet project deadlines and support company objectives., • Maintain an organized workspace and assist in inventory management and procurement of consumables.What You'll Need:, • 6+ years of industry experience., • Hands-on expertise in both mechanical and electrical systems, including small precision work and large-scale assemblies., • Proven experience debugging complex electromechanical systems., • Basic metrology or inspection skills (e.g., using calipers, micrometers, multimeters, etc.)., • Ability to read and interpret CAD drawings., • Proficiency in reading schematics for troubleshooting and assembly., • Wire harness assembly and PCB soldering experience., • Excellent verbal and written communication skills., • Strong attention to detail and organizational abilities., • Effective time management and prioritization skills., • Eagerness to learn and take on increasing responsibilities over time., • Associate's or Bachelor's degree in an engineering discipline, or equivalent industry experience.Bonus Points For:, • Experience with CAD design., • Familiarity with 3D printing technologies., • Software literacy (e.g., Python scripting)., • IPC certifications (J-STD-001, IPC-A-620). Hourly Rate Range $35—$55 USD Atomic Machines is an equal opportunity employer that values diversity and does not discriminate based on characteristics protected by applicable law. We are committed to an inclusive interview experience, including for individuals with disabilities. To request an accommodation, contact rc@atomicmachines.com. To help our recruiting team manage application volume and respond to candidates more efficiently, Atomic Machines may use AI-assisted tools.

Job Description Atomic Machines is building the Matter Compiler™, the first in a new class of AI-native, all-digital manufacturing systems that build working machines directly from code. The Matter Compiler (MC) is aimed at micro-machines: motors and gears the size of a grain of sand, robots small enough to work inside the body, cooling built directly into the chips that run AI, and the many devices like them that have been waiting on a way to build them. Its first product is PrimeSwitch™, an electromechanical power relay the size of a button battery that carries 150 amps continuous current and opens in 50 microseconds, about a thousand times faster than a conventional contactor. Founded by Jeff Holden — serial entrepreneur, ex-Amazon SVP and Uber's first Chief Product Officer — the company has raised $250 million to date. Atomic Machines is based in the San Francisco Bay Area, with offices in Emeryville and Santa Clara. About The Role: As COO, you are accountable for turning the Matter Compiler into a manufacturing business. You will set the strategy for and lead the organization that designs, builds, and operates a new generation of fully autonomous commercial fabs, and you will be responsible for delivering the production capacity that Atomic Machines' growth plan depends on. You will build and lead the leadership team across Manufacturing Engineering, Supply Chain, Shipping/Receiving, Fab Operations, Real Estate & Facilities, Manufacturing Partnerships, Final Assembly & Test, Quality & Reliability, ERP Systems and Foundry Services. You will make the major capital, site, and partnership decisions that determine how fast and how reliably we can scale, including which contract manufacturers we utilize and how much capacity we build in-house versus with partners. The Matter Compiler enables a truly AI-native fab that is modular, fully autonomous, and 100% digital. Many traditional manufacturing patterns will not apply: the extremely high degree of automation, the high-mix/high-volume interchangeability, the deterministic process control, the real-time nature of the MC, and our approach to input materials. This leader must bring both a deep understanding of manufacturing and operations theory and practice and first-principles thinking, because we are charting significant new territory in advancing humanity's command of matter. You will define what operational excellence looks like for a kind of factory that has never existed. You will also lead the People function, including Talent Acquisition, People Partnerships & Organizational Effectiveness, People Operations, and Compensation & Benefits. You will be accountable for the organizational strategy that lets Atomic Machines scale: how we plan headcount against the production ramp, how we structure and level the company, how we pay, and how we keep the hiring bar and culture intact across Santa Clara, Emeryville, and each new fab as it comes online. As a member of the executive team reporting to the CEO, you will partner closely with Jeff on company strategy, operating cadence, annual planning and budgets, and represent operations to the board, customers and key partners. What You'll Do: Manufacturing & Fabs • Own the design and operation of our commercial fabs, including all building infrastructure and non-Matter Compiler equipment selection (power, electrical, gas generation and distribution, fluid distribution, cooling systems, layout of MC Lattices and autonomous inbound/outbound systems) as well as all logistics and labor related to fab operations., • Lead site selection and build-out so fabs come online on time and in spec relative to forecasted demand., • Own all contract manufacturing relationships for production MC equipment builds and scaling, and extend the CM network by identifying, vetting, and engaging new partners., • Stand up, operate, and scale our internal Final Assembly & Test function for all MC equipment., • Establish economic, resilient supply for all materials and components. Own all supplier and OEM relationships, and set and enforce quality and reliability standards., • Manage inventory of raw materials, MC components, and finished MC equipment. The real-time manufacturing and generative AI design aspects of the MC challenge norms here., • Build the framework for managing key manufacturing metrics across the organization: yield, throughput, quality, cost, and uptime., • Partner with Engineering to enhance and extend the MC's capabilities. People & Organization • Own workforce planning tied directly to fab bring-up and the production ramp, so hiring is never the bottleneck on manufacturing capacity., • Lead Talent Acquisition at scale, increasing hiring velocity without lowering the bar., • Design org structure, leveling, and career paths for roles that do not yet exist in traditional manufacturing., • Own compensation, equity, and benefits philosophy and execution., • Build manager capability and a performance system that rewards first-principles thinking and ownership., • Sustain one Atomic Machines culture across Santa Clara, Emeryville and each new fab as it comes online. Running the Company • Partner with the leadership team on business process development and deployment, operating cadence, annual planning and budgets., • Atomic Machines is a narrative-based culture, so it is important to be a strong writer who can articulate strategies and initiatives crisply to drive alignment in the organization and to inspire teams, partners, and customers., • Translate company goals into operating plans with clear owners and metrics and establish strong control loops around key work., • Ensure a healthy and safe work environment and compliance with federal and state regulations, including employment law.What You'll Need:, • 15+ years in manufacturing and operations leadership, including executive ownership of highly automated manufacturing at scale and direct experience designing, building, and operating a manufacturing facility., • Prior experience as a COO, GM, or equivalent executive accountable for multiple functions, ideally at a hardware company scaling from early production to volume., • Experience leading or owning the People function, or a track record of building organizations through rapid headcount growth in close partnership with People., • Experience owning budgets and capital plans of $100M+ and making major site, capacity, and build-versus-partner decisions., • A robust network and nuanced understanding of the manufacturing industry and its players, with a record of establishing contract manufacturing partnerships at scale., • A track record of hiring and developing strong leadership teams and building operationally excellent cultures., • Comfort representing operations to a board, customers, and strategic partners., • First-principles thinking: starting from a deep understanding of the problem rather than pattern matching to industry norms, and comfort challenging the status quo when the math or physics points to a better way., • Excellent communicator: articulate, clear, concise., • High EQ and real strength in working with people; inspirational and motivational., • BS, MS, or PhD in Mechanical Engineering, Electrical Engineering, Physics, or another rigorous engineering discipline.Compensation: Base salary range starts at $350,000 annually, is based on experience, and includes equity and benefits. Atomic Machines is an equal opportunity employer that values diversity and does not discriminate based on characteristics protected by applicable law. We are committed to an inclusive interview experience, including for individuals with disabilities. To request an accommodation, contact rc@atomicmachines.com. To help our recruiting team manage application volume and respond to candidates more efficiently, Atomic Machines may use AI-assisted tools.

Job Description Hi Mindsource is seeking a Data Engineer for one of our Direct Clients based in Silicon Valley . If interested, please drop your resume to akhil@mindsource.com Title: Lead GenAI Engineer (Senior Role) Bay Area preferred, with ability to work from the office 1–2 days per week Contract to Hire Focus: Agentic Content-Application Architecture and Orchestration The goal is to design and build a stateful, headless GenAI application that helps commercial marketers create grounded and personalized content. The application will coordinate multiple agents and enterprise services, maintain conversational and project state, and generate structured JSON or HTML content blueprints that downstream platforms can assemble into finished assets. This is a hands-on senior contractor who must propose the architecture, make key technical decisions and code critical components—not a coordination-only lead. Minimum capabilities Significant hands-on experience architecting and building production GenAI applications Strong Python or TypeScript software engineering and microservices experience Experience designing stateful, multi-turn and multi-agent orchestration Strong API-first architecture and structured-contract design experience Experience building headless services that produce structured outputs for downstream applications Experience integrating GenAI applications with enterprise platforms, data services and content repositories Experience with RAG, grounding, application state, memory, evaluations and production observability Experience building streaming, multi-turn GenAI interfaces with clarification flows, conversation history and error handling Experience rendering structured responses, including tables, charts, citations and reusable results Ability to propose architecture, establish coding patterns, make technical decisions and review other engineers' work, and produce production code Strong AWS, Amazon Bedrock and AgentCore experience Preferred Experience with content generation, content-as-code, personalization or marketing-technology platforms Experience with Workfront, Veeva Vault PromoMats, AEM Assets or comparable enterprise content systems Experience in commercial pharma or another regulated content environment

Do you have experience working in a customer facing role? Are you interested in working in the construction/temporary power industry? Do you enjoy becoming an expert in your field and representing your team? If so, we should talk. We are Power Plus! A multi-industry leader in providing power when you need it, where you need it through intelligent and efficient power solutions. We work with Fortune 500 companies across the country such as Amazon, Wal-Mart, Costco, and more. We've built a 35-year reputation for excellence through our commitment to developing our people, providing exceptional, relationship-based customer service, and giving back to the community. Our biggest differentiator is the quality of our people, and the working environment we create for them, which really has to be seen to be believed. Benefits: • Medical, • Dental, • Vision, • Training and mentoring, • 401(k) with matching, • Paid sick leave, • Paid vacation The Construction Project Coordinator coordinates onsite temporary power installation from initial quoting through installation by providing technical expertise to estimate time and materials, provide site layout and design, and remain a point of contact for production crews and the superintendent throughout the completion of the job. This position requires an independent individual with strong organizational skills, customer service skills, and who is a team player. Job Responsibilities: • Represent Power Plus as the expert in the temporary utilities field and serve as the customer's primary technical representative., • Provide ongoing technical support to the Sales team for new and existing accounts., • Represent all of Power Plus's product lines and experience for new or present customers., • Make technical visits on behalf of Power Plus, to technical groups at various customers, potential customers, and other organizations., • Gather information from potential customers and develop products that meet customer needs., • Communicates with people on all levels in a multitude of organizations., • Follow up on all jobs to ensure that all equipment is set in accordance with plan/contract at locations., • Accurately document and report on details from every site visit to Dispatch/Scheduler, filling out tickets, highlighting maps and reviewing tickets with Mapper each day., • Other duties may be assigned as business needs require. Competencies/Requirements: • High school diploma / GED, • Two or more years' experience in electrical, construction or related industries, with a background knowledge of customer service/customer-facing roles., • Proficient in Microsoft Suite (Excel, Outlook, Word) and able to adapt to new technologies., • Must be a motivated team player with a focus on delivering high-level support to the team, • Strong initiative and ability to work independently, • Strong attention to detail and accuracy, especially in problem solving, • Excellent organizational and time management skills, • Ability to read, analyze, and interpret electrical theory and practical application., • Education or experience in electrical theory and design is highly preferred. Hourly Pay Range: $23.00 - $26.00 If you've always wanted to really make a difference, have your contributions mean something, and work for a place where loyalty, integrity, and hard work still means something, we want to hear from you!

The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The Acceleration Kernel Library team is at the forefront of maximizing performance for AWS's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance. As part of the broader Neuron Compiler organization, our team works across multiple technology layers - from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology This is an opportunity to work on cutting-edge products at the intersection of machine-learning, high-performance computing, and distributed architectures. You will architect and implement business-critical features, publish cutting-edge research, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators. Explore the product and our history! Key job responsibilities Our kernel engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model acceleration. In this role, you will: • Design and implement high-performance compute kernels for ML operations, leveraging the Neuron architecture and programming models, • Analyze and optimize kernel-level performance across multiple generations of Neuron hardware, • Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks, • Implement compiler optimizations such as fusion, sharding, tiling, and scheduling, • Work directly with customers to enable and optimize their ML models on AWS accelerators, • Collaborate across teams to develop innovative kernel optimization techniques A day in the life As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You'll also: Build high-impact solutions to deliver to our large customer base. Participate in design discussions, code review, and communicate with internal and external stakeholders. Work cross-functionally to help drive business decisions with your technical input. Work in a startup-like development environment, where you're always working on the most important stuff. About the team Amazon Diverse Experiences values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Inclusive Team Culture Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. BASIC QUALIFICATIONS • 3+ years of non-internship professional software development experience, • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • Experience programming with at least one software programming language PREFERRED QUALIFICATIONS • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience, • Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the servers that use them. As the Software Development Engineer for the Neuron Runtime Team, you will be responsible for working alongside a team of engineers to develop and maintain high-performance runtime libraries and drivers for machine learning applications and AI accelerators. You will work on design, development, and deployment of Neuron Runtime and other Neuron components. The profiler plays a crucial role to internal and external customers in optimizing AI workloads across hardware platforms such as Trainium and Inferentia devices, by providing deep insights into performance bottlenecks and system behavior. Improving performance of ML Kernels and ML Frameworks. In this role, you will manage the full development life cycle of the Neuron Runtime, ensuring scalability, reliability, and usability. You will collaborate with cross-functional teams to ensure that the our C++ compiler generates key information so customers can understand and optimize the performance of our custom hardware. Additionally, you will drive innovations that allow the profiler to support multiple frameworks, such as PyTorch, JAX, and XLA. A successful candidate will have experience in architecting, building, and operating distributed systems with a focus on high availability and fault tolerance, Hands-on experience with AWS services (e.g., EC2, ECS, CloudWatch, S3, Lambda) in production environments and track record in Owning services end-to-end including deployment, monitoring, alarming, on-call, and post-incident review. A day in the life You will work with the executive leadership and other senior management and technical leaders to define product directions and deliver them to customers. We build massive-scale distributed training and inference solutions. This organization builds the full stack of software, servers and chips to accelerate at the highest scale. About the team Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS • 3+ years of non-internship professional software development experience, • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • Experience programming with at least one software programming language PREFERRED QUALIFICATIONS • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience, • Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually

/ no recruiters; direct applications only / The Company Ironmist is building the compliance infrastructure for the defense software. Our mission: replace broken, manual authorization processes with a platform that embeds security and compliance directly into how software is built - so defense companies and government teams can ship secure-by-design software to the warfighter faster, at the speed of relevance. We are a lean, venture-backed team of builders on a mission. About the Role We are looking for a highly capable and experienced Software Engineer with strong DevOps/DevSecOps, Infrastructure-as-Code and software engineering experience to join our lean, fast-moving defense technology company. This is not a traditional DevOps role where you will only maintain CI/CD pipelines or cloud infrastructure. You will have significant ownership of the environments that run our platform while also contributing directly to the application itself. Because we are a small startup, we need engineers who are comfortable working across boundaries. On any given week, you may be deploying cloud infrastructure, troubleshooting a production environment, improving a CI/CD pipeline, implementing security controls, or building a new product feature with the assistance of modern AI development tools. We move quickly, operate with a high degree of autonomy, and expect senior engineers to identify problems, develop solutions, and drive work through completion without requiring extensive direction. What You'll Do • Design, deploy, and maintain secure cloud infrastructure using Infrastructure as Code (IaC)., • Build and maintain infrastructure supporting development, testing, and production environments., • Develop and improve CI/CD pipelines and automated deployment processes., • Implement DevSecOps practices throughout the software development lifecycle., • Troubleshoot infrastructure, application, networking, container, and deployment issues across the stack., • Help design infrastructure and application architectures suitable for highly regulated and security-sensitive environments., • Automate repetitive operational and engineering processes., • Implement security controls, logging, monitoring, secrets management, and configuration management., • Review infrastructure and application changes for security, reliability, and maintainability., • Contribute directly to application development, including implementing new features and resolving defects., • Use AI-assisted development tools effectively to accelerate software development while maintaining engineering quality and appropriate review., • Evaluate new technologies and determine when they are appropriate for our architecture., • Take ownership of technical problems from initial investigation through production deployment., • Work closely with company leadership and other engineers to rapidly translate customer and mission needs into working software. What We're Looking For • Significant professional software engineering experience, including experience operating production systems., • Strong experience with Infrastructure as Code, such as Terraform, Pulumi, CloudFormation, or similar technologies., • Strong experience designing, deploying, and maintaining cloud infrastructure., • Experience with AWS and common cloud services including networking, IAM, compute, containers, databases, storage, logging, and secrets management., • Experience with containerized workloads using technologies such as Docker, ECS, or Kubernetes/EKS., • Strong understanding of CI/CD systems and automated software delivery., • Experience implementing secure development and DevSecOps practices., • Strong understanding of cloud security concepts including IAM, least privilege, network segmentation, encryption, secrets management, and audit logging., • Ability to troubleshoot complex systems across application and infrastructure boundaries., • Ability to read, understand, modify, and develop production application code., • Experience using AI-assisted software development tools and the judgment to validate, test, and improve AI-generated code rather than relying on it blindly., • Strong Git and code-review practices., • Ability to independently research unfamiliar technologies and quickly become productive., • Strong written and verbal communication skills. The Engineer Who Will Succeed Here Our environment is best suited for someone who is: • Self-directed. You do not need a detailed task list to make progress. You can take a problem, determine what needs to happen, and execute., • Hands-on. This is an engineering role. It means solving difficult technical problems, not coordinating the people who solve them., • Comfortable with ambiguity. Requirements can evolve quickly in an early-stage company, and you should be comfortable making sound technical decisions with incomplete information., • Pragmatic. You understand the difference between building something correctly and over-engineering it., • Security-minded. Security is part of the architecture and development process, not something added after deployment., • Fast without being careless. We often work on short timelines, but reliability, security, and maintainability still matter., • Curious. You are comfortable working outside your primary specialty when the problem requires it., • Accountable. When you own something, you follow it through deployment, validation, and resolution. Nice-to-Have Experience in one or more of the following areas would be particularly valuable: • AWS GovCloud, • Terraform and/or Pulumi, • Kubernetes / Amazon EKS, • Amazon ECS, • GitHub Actions, • FedRAMP, • NIST 800-53, • CMMC, • Department of Defense environments, • Zero Trust architectures, • Security automation or compliance-as-code, • AI/ML platforms such as Amazon Bedrock, • SaaS platforms deployed in both cloud-hosted and customer-managed environments, • Experience supporting government or defense customers Previous defense industry experience is helpful but is not required if you are comfortable learning the regulatory and security requirements associated with the environment. Security Requirements • U.S. citizenship is required., • Candidates must be eligible to obtain and maintain a U.S. Government security clearance., • Any additional program-specific access requirements will be discussed during the hiring process. Why Join Us You will join a lean product-first company where your work will have an immediate impact on both the product and the company. You will have the opportunity to influence architecture, infrastructure, security practices, development processes, and product capabilities rather than owning only one narrow portion of the technology stack. We are looking for someone who enjoys building, solving difficult problems, and moving quickly in an environment where strong engineers are trusted with meaningful ownership.

Role: CAA Programmer - CATIA /Enovia CAA Location: Seattle, WA /Remote | 5 - 13 years of experience Hire Type: Full Time Job Description Must Have Technical/Functional Skills • 5+ years of experience with Computing and Programming language like C++, C, across native Unix platforms., • Deep knowledge of software/hardware compatibility and solutions approach., • Experience with Project Management Tools like Team Foundation Server, Quality Center, • Experience with Relational Databases such as SQL-Server, Oracle, Teradata, • Experience with Configuration Control Tools such as GIT, Visual Source Safe, Clear Case, SCCS, • Experience with Windows, Solaris, Linux (Oracle 8+ and Red Hat 6-7) Operating Systems, • Experience with Documentation Tools such as Microsoft tools such as Word, Visio, and PowerPoint, • Experience in developing software solutions in the Java/modern programming language., • Experience with developing web applications Roles & Responsibilities • Leads and performs the design, program, test, implementation and documentation of complex computing applications and software or computing architecture and computing application system designs in Electrical Engineering Systems, • Maintains the CADDStation suite of application running on Solaris system hosted on Linux OS., • Monitors and maintains the CADDStation Ecosystem hosted on Solaris platform, • Leads analysis of end user processes to define application requirements, • Contributes with complex Unix based solutions for hardware/software upgrade and refactoring., • Modifies or upgrades complex applications to maintain functionality and performance in Electrical Domain, • Identifies and recommends improvements, • Identifies and resolves complex programming or application architecture problems, • Identifies issues and provide solutions to multiple issues that may be found Generic Managerial Skills, If any • Effective leadership and mentorship skills., • Exceptional communication to bridge technical and non-technical teams., • Strong analytical and problem-solving skills., • Ability to manage multiple programs and priorities simultaneously., • Stakeholder management and cross-functional collaboration. Preferred Qualifications (Desired Skills/Experience): • Bachelor of Science or higher from an accredited institution in Software Engineering, Computer Science, Computer Engineering or other technical degrees, • Experience with DevOps/DevSecOps and CI/CD practices, methodologies and tooling, • Experience with Azure DevOps (ADO) or Team Foundation Server (TFS), GitLab, GIT, IIS, Wi ndows Server, • Experience with PCF (Pivotal Cloud Foundry)/Tanzu and/or exposure to Amazon Web Services, Google Cloud Platform, or Microsoft Azure, • Experience with Cloud technologies and/or Cloud-native app development and microservices

Sr. Advertising Manager, Amazon Advertising The e-commerce landscape is expanding rapidly, and brands require expert strategy to maximize their online presence. At Straight Up Growth, we provide industry-leading Amazon Advertising solutions to elevate brand awareness, drive targeted traffic, and accelerate client growth. We are seeking a highly driven and experienced leader to join our dynamic team and manage our dedicated group of Amazon Advertising experts. Key Competencies & Experience: • Strategic Amazon Expertise: Strong, demonstrable understanding of Amazon Marketing Cloud (AMC), Amazon Search, and DSP applications., • Data Analysis Prowess: Advanced proficiency in leveraging data analysis tools, particularly Google Sheets with complex pivoting capabilities. Experience with statistical analysis is highly valued., • Continuous Improvement Mindset: Proactively identifies and implements innovative solutions to enhance performance, efficiency, and established workflows., • Exceptional Communication: Superior written and verbal skills, capable of articulating complex advertising strategies clearly to both internal teams and executive-level clients., • Organizational Mastery: Highly organized, adept at managing multiple complex tasks simultaneously and effectively prioritizing demanding workloads., • Self-Driven & Accountable: Demonstrates strong initiative, ownership, and composure under pressure in fast-paced, high-stakes environments. Key Responsibilities: • Campaign Strategy & Execution: Develop, launch, and manage Amazon advertising campaigns across Sponsored Products, Sponsored Brands, Sponsored Display, and DSP, ensuring campaign structures align with client goals, budgets, and performance targets., • Performance Optimization: Monitor campaign performance daily and make data-driven optimizations to bids, budgets, targeting, keywords, placements, and audience strategies to improve ROAS, TACoS, sales growth, and overall account efficiency., • Keyword, Category & Market Research: Conduct keyword research, competitor analysis, category reviews, and retail performance assessments to identify growth opportunities and inform campaign strategy., • Client Strategy & Consultation: Support client advertising strategy by providing clear recommendations, performance insights, and actionable next steps tied to business objectives, market conditions, and Amazon account performance., • Reporting & Analysis: Generate insightful performance reports, conduct regular and ad-hoc analyses, and rigorously track success by leveraging both advertising-specific and overarching total KPIs., • Amazon Ecosystem Expertise: Maintain a strong understanding of Amazon Advertising, e-commerce trends, retail media, and marketplace dynamics to support informed decision-making and effective campaign management. Company Benefits & Application: • Comprehensive Benefits: We offer medical, dental, and vision insurance, a 401k match of up to 4% (after 6 months), and generous paid time off., • Professional Growth: We are deeply committed to our team's development, ensuring continuous opportunities for professional growth and career advancement., • Reporting Structure: This role reports directly to the Director of Ads. To Apply: Please submit a comprehensive Resume and a compelling Cover Letter detailing a challenging situation you encountered and how you successfully overcame it.

About Us Sinexcel is a globally leading provider of core power equipment and Energy Internet solutions. We are launching our brand-new AIDC power supply business to serve the fast-growing AI data center market. Our solutions target hyperscale internet enterprises, large colocation operators, and gas turbine power providers, delivering power infrastructure optimized for high-density AI computing. Job Responsibilities • Strategic Business Development & Key Account Management Take full ownership of sales strategy and revenue targets for the AIDC power systems business in the US market. Develop and sustain long-term partnerships with key accounts, including hyperscale cloud & internet companies, colocation operators, IDC developers, telecom operators and gas turbine power providers. Leverage existing industry connections to arrange solution and technical review meetings, drive trial run projects, and support Sinexcel to become a qualified supplier for major AIDC clients., • Customer Demand Discovery & Solution Alignment Dig deep into power requirements for AIDC projects, including power capacity, power density, redundancy standards and energy-saving targets. Work closely with R&D and application engineering teams to customize power system products and solutions tailored for AIDC scenarios., • Sales Target & End-to-End Project Management Formulate regional sales plans, break down annual revenue targets, and build a robust sales pipeline. Lead opportunity development, commercial negotiation, proposal quotation and contract closure, manage project risks, and ensure order conversion and revenue delivery., • Market Intelligence & Competitive Strategy Conduct ongoing research on the US AIDC and data center power infrastructure market, tracking market scale, pricing frameworks and competitor dynamics. Benchmark against Vertiv, Eaton, Schneider, ABB, leading hyperscalers and major US IDC operators. Provide market insights to refine product positioning and go-to-market strategy., • Market Promotion & Brand Building Participate in industry exhibitions, technical seminars and forums focused on AIDC and data center power systems. Deliver technical presentations and business exchanges to build Sinexcel’s brand influence within the AIDC power supply segment. Job Requirements • Minimum 5 years of sales experience in IDC / data center infrastructure. Background in IDC power distribution and power supply systems is strongly preferred; experience with IT servers and precision cooling is also acceptable., • Established client network and relationships within the IDC ecosystem, including hyperscale internet companies, colocation operators, IDC developers and telecom operators., • Bachelor’s degree or above. Majors in Electrical Engineering, Mechanical Engineering, Computer Science or other related engineering disciplines are preferred., • Solid knowledge of data center power infrastructure and high-density power demands for AIDC. Result-oriented, self-driven, capable of independently managing complex large-account sales cycles under pressure., • Familiar with key players in the US data center ecosystem: Vertiv, Eaton, Schneider, ABB, Amazon, Google, Meta, Microsoft, Nvidia, Cyrusone, QTS Realty Trust, Flexential, Switch, Databank, Cyxtera, Coresite, NTT, Iron Mountain, Applied Digital, etc., • Preferred base location: Texas or Northern Virginia, USA. Note：This position is also available in California, Washington State, Virginia, Texas, Michigan, and Wisconsin.

Job Description Atomic Machines is building the Matter Compiler™, the first in a new class of AI-native, all-digital manufacturing systems that build working machines directly from code. The Matter Compiler (MC) is aimed at micro-machines: motors and gears the size of a grain of sand, robots small enough to work inside the body, cooling built directly into the chips that run AI, and the many devices like them that have been waiting on a way to build them. Its first product is PrimeSwitch™, an electromechanical power relay the size of a button battery that carries 150 amps continuous current and opens in 50 microseconds, about a thousand times faster than a conventional contactor. Founded by Jeff Holden — serial entrepreneur, ex-Amazon SVP and Uber's first Chief Product Officer — the company has raised $250 million to date. Atomic Machines is based in the San Francisco Bay Area, with offices in Emeryville and Santa Clara. About the role This is not a traditional support role. Our founders need a sharp, low-ego partner who multiplies their impact: someone who thinks clearly, writes clearly, owns projects end to end, and keeps their time focused where their time is needed most. You'll spend most of your time supporting our CEO, and the rest supporting our Head of Strategic Growth. Our mission requires solving problems no one has solved and building capabilities that don't yet exist. That means operating differently from organizations built to optimize known systems, and it means no role here is beneath anyone. If you have strong judgment and do your best work when you're trusted with a problem and given room to solve it, this role is for you. You will have a front-row seat to how a Physical AI company scales from breakthrough technology to commercial manufacturing, and you will be expected to contribute to it, not just observe it. This role is based in our Santa Clara office with the occasional travel to Emeryville (preferred). What you'll do Most of this role is ownership work. The rest is keeping the founders' time, travel, and commitments running without friction. Own the CEO's operating rhythm • Run the trackers, follow-ups, and action items that come out of leadership meetings, and close the loop until each one is done, • Prepare the briefings and pre-reads that let Jeff walk into board, investor, customer, and candidate conversations ready, • Turn long documents and discussions into short, accurate summaries with a clear recommendation Own projects • Take on cross-company projects from the founders' plate and drive them to completion across teams that don't report to you, • Draft narratives, memos, and communications in Jeff's voice, at a standard he would sign, • Spot what is broken or drifting, raise it directly, and propose a fix Protect the founders' time and focus • Manage the founders' calendar, priorities, and incoming requests with sharp judgment about what needs him and what doesn't, • Coordinate domestic and international travel and logistics so he never has to think about them, • Be a trusted point of contact for our team, investors, customers, and partners, • Handle highly sensitive information with complete discretionWho we're looking for, • You think clearly and write clearly. You lead with the answer. You can read a 20-page technical narrative and tell someone the decision in three sentences., • You are accurate. You check the details that can't be wrong, and you have a system for it., • You form a recommendation. When you bring a problem, you bring options and a point of view, not just a question., • You work well with minimal direction. You know when to decide, when to ask, and when to escalate, and you're comfortable working mostly in writing., • You seek truth. You raise bad news early and push back respectfully when the logic doesn't hold., • You use AI as a force multiplier. You can describe specific tools and workflows you use today and where they fall short., • You're curious about how things work. You don't need a hardware background, but you want to understand the technology, the customers, and the business., • You see your work through. You have a track record of staying in roles long enough to see your work through., • Education: Bachelor's degree required The compensation for this position also includes equity and benefits. Salary Range $175,000—$220,000 USD Atomic Machines is an equal opportunity employer that values diversity and does not discriminate based on characteristics protected by applicable law. We are committed to an inclusive interview experience, including for individuals with disabilities. To request an accommodation, contact rc@atomicmachines.com. To help our recruiting team manage application volume and respond to candidates more efficiently, Atomic Machines may use AI-assisted tools.

The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology You will architect and implement business critical features, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators. The team collaborates with open source ecosystems to provide seamless integration and bring peak performance at scale for customers and developers. This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and beyond. The Inference Enablement and Acceleration team works side by side with compiler engineers and runtime engineers to create, build and tune distributed inference solutions with Trainium and Inferentia. Experience optimizing inference performance for both latency and throughput on such large models across the stack from system level optimizations through to Pytorch or JAX is a must have. You can learn more about Neuron Key job responsibilities This role will help lead the efforts in building distributed inference support for Pytorch in the Neuron SDK. This role will tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and servers. Strong software development using Python, System level programming and ML knowledge are both critical to this role. Our engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model acceleration. In this role, you will: • Design, develop, and optimize machine learning models and frameworks for deployment on custom ML hardware accelerators., • Participate in all stages of the ML system development lifecycle including distributed computing based architecture design, implementation, performance profiling, hardware-specific optimizations, testing and production deployment., • Build infrastructure to systematically analyze and onboard multiple models with diverse architecture., • Design and implement high-performance kernels and features for ML operations, leveraging the Neuron architecture and programming models, • Analyze and optimize system-level performance across multiple generations of Neuron hardware, • Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks, • Implement optimizations such as fusion, sharding, tiling, and scheduling, • Conduct comprehensive testing, including unit and end-to-end model testing with continuous deployment and releases through pipelines., • Work directly with customers to enable and optimize their ML models on AWS accelerators, • Collaborate across teams to develop innovative optimization techniques A day in the life You will collaborate with a cross-functional team of applied scientists, system engineers, and product managers to deliver state-of-the-art inference capabilities for Generative AI applications. Your work will involve debugging performance issues, optimizing memory usage, and shaping the future of Neuron's inference stack across Amazon and the Open Source Community. As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You will also build high-impact solutions to deliver to our large customer base and participate in design discussions, code review, and communicate with internal and external stakeholders. You will work cross-functionally to help drive business decisions with your technical input. You will work in a startup-like development environment, where you're always working on the most important initiative. About the team The Inference Enablement and Acceleration team fosters a builder's culture where experimentation is encouraged, and impact is measurable. We emphasize collaboration, technical ownership, and continuous learning. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Join us to solve some of the most interesting and impactful infrastructure challenges in AI/ML today. BASIC QUALIFICATIONS • Bachelor's degree in computer science or equivalent, • 3+ years of non-internship professional software development experience, • 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles along with work experience on some optimizations for improving the model execution., • Software development experience in C++, Python (experience in at least one language is required)., • Strong understanding of system performance, memory management, and parallel computing principles., • Proficiency in debugging, profiling, and implementing best software engineering practices in large-scale systems. PREFERRED QUALIFICATIONS • Familiarity with PyTorch, JIT compilation, and AOT tracing., • Familiarity with CUDA kernels or equivalent ML or low-level kernels, • Candidates with performant kernel development such as CUTLASS, FlashInfer etc., would be well suited., • Familiar with syntax and tile-level semantics similar to Triton., • Experience with online/offline inference serving with vLLM, SGLang, TensorRT or similar platforms in production environments., • Deep understanding of computer architecture, operation systems level software and working knowledge of parallel computing. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually

Job Description: Pay Rate: $65 - $70/hour on W2 Notes: should be local to OH or KY TECHNICAL SKILLS Must Have • API security, • Software Application Security Testing (SAST), • Software Composition Analysis (SCA), • Javascript/NodeJS, • Python, • Terraform Nice To Have • Amazon AWS, • End User Support, • Familiarity with CI/CD pipelines, API gateways, and DevOps practices., • PowerBI, • Unit Testing, • Windows Server Administration

Role Overview: The Marketing Specialist supports the marketing team across the US and UK for a fast-growing CPG company. The role owns key operational processes: budget tracking, consumer relations, ratings and reviews, self-serve research, e-commerce item set-up, export support and influencer sampling. It keeps these running smoothly so the brand team can focus on growth. Company details will be provided to candidates who are selected to proceed beyond the initial application review. Reports to: Chief Growth Officer Location: Fully remote. Requires dedicated office space and childcare (if applicable). Preference will be given to candidates located in Cincinnati, Chicago, or Minneapolis. Key Responsibilities: Global Budget Process Owner • Track marketing spend across brands and markets, • Complete the monthly budget reconciliation and flag variances Consumer Relations Owner • Manage consumer relations suppliers and drive continual improvement of the process, • Flag product issues raised by consumers to the relevant teams, • Ensure smooth integration with adverse event reporting, working with the Quality Manager, • Integrate new brands into consumer relations processes, • Own and manage day-to-day consumer appeasement solutions, • Track performance against KPIs and report results Ratings & Reviews • Answer consumer comments and complaints on retail and e-commerce sites, • Track ratings and reviews monthly against KPIs and flag significant changes, • Develop recommendations to improve ratings where needed, • Own and manage day-to-day work with supplier; explore alternatives when warranted, • Lead review start-up for new items at launch Self-Serve Research Owner • Manage self-serve research tools and run studies for the brand team E-commerce Item Set-Up & Maintenance • Set up new items on retailer e-commerce sites (excludes Amazon) and keep existing listings accurate and up-to-date, • Owns relationship with Syndigo and NIQ, • Run a monthly audit of key retailer sites to check listing content, images and pricing Export Support • Maintain and update the export toolkit Influencer / Experiential • Create influencer and PR sample kits and manage their shipping, • Own event execution (e.g., SKillsUSA) Brand Websites / Company Websites • Own accuracy, updates, hosting and maintenance In-store • Own the development and maintenance of the display catalog, • Own in-store artwork execution as needed This list is not exhaustive and may be modified as business needs change. What Success Looks Like: • Global Budget Process - Accurate accounting with spend matching invoices and POs; monthly reconciliation completed on time; variances flagged early; accruals documented appropriately, • Consumer Relations - Consumer contacts answered within target response time; KPIs met or improving; new brands integrated on schedule; process improvements implemented, • Ratings & Reviews - Comments and complaints answered promptly and on-brand; star ratings and review counts tracking to KPIs; new items reach review targets soon after launch, • Self-Serve Research - Studies delivered on time and on budget; findings clear and actionable for the brand team, • E-commerce Item Set-Up & Maintenance - New items live by launch date; listings accurate and complete, with content, images and pricing current, • Export Support - Toolkit current and accurate; export partners have what they need without delays, • Influencer / Experiential - Kits assembled correctly and shipped on time; shipments tracked and confirmed received; Event execution on time and on budget; excellent supplier and attendee feedback; recap of results, learning and indicated actions, • Websites - Websites up-to-date and operational; track and report site visits monthly, • In-store - Display catalog delivered on time with positive feedback from sales and marketing leadership; Artwork delivered on time and on budget Qualifications • Bachelor's Degree, • Experience working for a CPG company, • Experience managing a budget as part of your job, • Experience supporting a Marketing Team, • Experience managing outside vendors

Take2 has proven experience bridging the intersection of technology and people solutions. As a proven, trusted provider for our Federal and commercial clients, we provide the right solutions, at the right time through trusted partnerships, customized to solve our client’s unique business challenges. Take2 invests time, discipline, and rigor into our technology and people solutions, as well as utilizes our proprietary People Cloud. Whether we are bridging the gap between IT talent and our customers’ business challenges, Take2 will work as a partner to best resolve client needs. Take2 is hiring a Database Developer who is eligible to be sponsored for a Public Trust Clearance. This position is Remote, but it will require you to work East Coast Hours while being located in the United States. Database Developer What You Will Do We are seeking a highly motivated Developer DBA with strong Oracle SQL and PL/SQL expertise, ETL development experience, and cloud data platform knowledge to support application modernization, database development, systems integration, analytics, and operational support activities. • Design, develop, and support Oracle database solutions, including packages, stored procedures, functions, triggers, views, materialized views, and sequences, ensuring high performance, scalability, and maintainability., • Develop, enhance, and optimize SQL and PL/SQL code to support application functionality, reporting, system integrations, and business operations., • Create and maintain database migration scripts, schema updates, release deployment packages, and automated database deployment processes., • Design, build, and support ETL workflows, data transformation processes, validation frameworks, and batch data processing solutions., • Analyze and interpret complex data models, database schemas, enterprise data flows, ERDs, and data mappings to support business and application requirements., • Develop and support cloud-based data integration, reporting, and analytics solutions using AWS technologies such as Amazon Redshift, Amazon S3, Amazon RDS, and related services., • Build and maintain data integration pipelines using Matillion ETL and other enterprise data integration platforms., • Troubleshoot and resolve database issues, data quality concerns, application integration challenges, and performance bottlenecks across environments., • Perform database performance tuning and optimization using execution plans, indexing strategies, partitioning, optimizer statistics, and Oracle diagnostic and monitoring tools., • Collaborate closely with software engineers, architects, DevOps engineers, and business stakeholders to deliver scalable and reliable data solutions., • Participate in Agile development activities, including sprint planning, backlog refinement, daily standups, code reviews, sprint reviews, and retrospectives., • Contribute to DevSecOps and CI/CD initiatives by implementing automated testing, deployment, monitoring, and compliance practices for database solutions., • Create and maintain technical documentation, including database designs, data mappings, interface specifications, operational procedures, and support guides., • Develop and support database unit testing, regression testing, data validation testing, and automated test support for SQL, PL/SQL, ETL, and data migration changes., • Support production operations, release deployments, incident troubleshooting, root-cause analysis, and post-deployment validation for mission-critical database and application components., • Leverage approved AI-powered development tools to accelerate SQL and PL/SQL development, code review, troubleshooting, documentation, testing, and knowledge-sharing activities., • Identify and implement opportunities to apply AI and intelligent automation to database development, data engineering, deployment, monitoring, operational support, and engineering productivity., • Support data governance, security, privacy, and compliance requirements by implementing least-privilege access, auditability, encryption-aware data handling, and controls aligned with Federal standards such as FISMA, NIST, and FedRAMP where applicable., • Continuously evaluate emerging database, cloud, AI, and data engineering technologies and recommend improvements that enhance platform capabilities and team productivity. What You Will Need • Bachelor’s degree required., • Minimum of five (5) years of experience in Oracle database development, database engineering, ETL development, data integration, or related software engineering roles., • Strong experience in Oracle SQL and PL/SQL development, including packages, procedures, functions, triggers, views, materialized views, sequences, complex queries, performance tuning, and Oracle development tools such as SQL Developer and SQL*Loader., • Proven ability to design, develop, optimize, troubleshoot, and maintain database solutions supporting enterprise and mission-critical applications., • Experience designing and implementing ETL solutions, data transformation processes, batch processing frameworks, and data migration initiatives., • Experience with AWS data and cloud services, including Amazon Redshift, Amazon RDS, Amazon S3, and related analytics and integration technologies., • Experience with Matillion ETL or similar cloud-native data integration, orchestration, and data pipeline platforms., • Strong understanding of relational database architecture, logical and physical data modeling, ERDs, normalization, indexing, query optimization, transaction management, and referential integrity., • Experience analyzing and supporting complex enterprise application databases, schemas, and data models., • Experience developing or supporting database unit tests, regression tests, data validation checks, and deployment verification activities., • Experience supporting production releases, operational incidents, defect triage, root-cause analysis, and post-release validation in enterprise or mission-critical environments., • Ability to troubleshoot and resolve database, data quality, integration, and application performance issues across distributed environments., • Experience supporting database and application deployments using CI/CD pipelines, release automation, and DevSecOps best practices., • Experience working in Agile software development environments utilizing Scrum, Kanban, or similar methodologies., • Experience using source control and application lifecycle management tools such as Git, GitHub, Bitbucket, GitLab, or Azure DevOps., • Experience using approved AI-assisted tools or automation practices to support code generation, optimization, testing, troubleshooting, documentation, code reviews, knowledge management, and engineering productivity improvements., • Understanding of Responsible AI principles, AI governance, cybersecurity, data privacy, and secure AI adoption within enterprise or government environments., • Familiarity with AI-enhanced SDLC practices, AI-assisted DevSecOps, intelligent automation, and emerging AI engineering patterns., • Strong analytical, problem-solving, communication, and organizational skills, with the ability to manage competing priorities, work independently or collaboratively, and continuously adapt to emerging database, cloud, and AI technologies. What Would Be Nice To Have • Experience supporting Federal Government or large-scale enterprise applications., • Experience supporting Grants Management, Financial Management, Case Management, Regulatory, or workflow-driven systems., • Experience with Oracle Data Pump, Oracle GoldenGate, Informatica, Talend, ODI, Liquibase, Flyway, or similar data integration and migration tools., • Experience with PostgreSQL, SQL Server, MySQL, or other enterprise database platforms., • Experience supporting cloud modernization, database migration, or application modernization initiatives., • Knowledge of Federal data security and compliance practices, including audit logging, least-privilege access, encryption-aware data handling, and security controls aligned with FISMA, NIST, or FedRAMP requirements., • Experience with data warehousing concepts, dimensional modeling, enterprise reporting, and business intelligence platforms such as Power BI, Tableau, or Amazon QuickSight., • Experience supporting data pipelines and data platforms used for analytics, reporting, AI, and machine learning workloads., • Familiarity with AWS cloud-native application and service deployment architectures., • Oracle certifications preferred, including:, • Oracle Certified Professional (OCP), • Oracle Database Administrator Certified Professional, • Oracle SQL Certified Associate, • Experience evaluating and adopting emerging AI technologies to improve software engineering productivity, database development, operational efficiency, and modernization initiatives., • Familiarity with modern AI data architectures, vector databases, retrieval-augmented generation (RAG), AI agents, knowledge management systems, and enterprise AI platforms., • Experience participating in AI-driven modernization efforts, intelligent automation initiatives, or enterprise data and analytics programs., • Hands-on experience with AI-powered development tools such as GitHub Copilot, Microsoft Copilot, Amazon Q Developer, Cursor, ChatGPT Enterprise, Claude, Gemini, or similar platforms.

Description Hybrid in Ashburn, VA or Gaithersburg, MD Our client seeks Testing and Quality Assurance professionals who develop, implement, and maintain scalable QA systems and standards. The role focuses on CI/CD-integrated automated testing, AI-driven test-script generation, feature testing of cloud-native Java services, and security and compliance validation. The tester must diagnose root causes, collaborate with developers, and operate across Linux-based and cloud environments. Due to federal security clearance requirements, applicant must be a United States Citizen with an active Public Trust clearance. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $50.00 to $70.00/hr. w2 Responsibilities • Perform software testing across unit, integration, end-to-end, performance, and security domains., • Develop test plans and create automated test scripts integrated into CI/CD pipelines., • Lead AI-driven test-script generation and maintenance using modern AI tooling., • Debug software issues, analyze failures, and determine root causes., • Execute feature testing for cloud-native Java services on ECS, EKS, and OpenShift., • Validate environments across Dev, Test, and Ops and manage lab setups., • Integrate security and compliance testing, including SAST, DAST, and control validation., • Collaborate directly with developers within Agile teams., • Support continuous monitoring and evidence generation for ATO. Experience Requirements • Test automation at scale with standards, methods, and QA systems., • CI/CD-integrated automated testing using tools such as GitLab, Tekton, or Argo CD., • AI-assisted testing for coding, requirements, test creation, debugging, and analysis., • Hands-on with Playwright, JUnit/TestNG, REST and contract testing, and performance testing., • Container and Kubernetes test harnesses across Amazon ECS, Amazon EKS, and Red Hat OpenShift., • Security and compliance testing, including SAST/DAST/SCA/IaC scanning and policy-as-code., • Experience in AWS, including multi-account/VPC patterns and segmentation., • On-prem to AWS migration experience for containerized workloads and data tiers., • Familiarity with FISMA High and FedRAMP High practices, STIGs, and NIST 800-53 controls., • Linux proficiency and experience with Java-based application environments., • Strong troubleshooting and debugging in cloud and lab environments., • Effective communication within Scaled Agile teams. Education Requirements

We're a mission-led financial technology startup aimed at helping small and medium businesses. Our primary product is Early Pay: technology-enabled invoice financing that delivers critical cash flow to help businesses operate more efficiently. To date, we’ve paid over $1B to over 2,000+ businesses. We’re early stage. That means you will have a significant impact on the business’s trajectory, as well as the opportunity to participate in equity ownership when the company’s valuation still has LOTS of room to grow. You’ll also gain experience in an early-stage venture-backed company, working closely with leaders who helped build and scale fintech products at companies like Google, Honey (acq. by PayPal), Amazon, and Affirm. We're well funded (and profitable) We’ve raised significant capital from top tier venture investors and have several years of runway. With the launch of exciting new platform partnerships, we’re in a very good position to continue growing at a healthy pace - which is where you come in! About your role: We are looking for a technical and execution-oriented individual to help build and run revenue operations at Mesa, an embedded fintech company expanding access to working capital for small and medium sized businesses. This is a hands-on role for someone resourceful who enjoys solving problems, digging into data and operational details, and improving the systems and processes that help the business grow. Given the lean nature of our team, you will have a unique opportunity to learn from and work cross-functionally with GTM, Finance, Product, Risk, and Engineering to manage day-to-day execution and build long-term solutions. Your work will support both the development of new platform partnerships as well as the operation and scaling of our existing partnerships. You will work closely with our Sales team to drive revenue growth by accelerating the adoption and utilization of Mesa’s Early Pay products by suppliers. What you will do: • Own our CRM and connected GTM systems, including pipeline stages, workflows, integrations, and data quality, ensuring the team has reliable tools and information to execute, • Own the data underpinning our GTM efforts, including aggregating, understanding and synthesizing large datasets (eg lead lists, pre-qualification data) from various sources, enabling Sales to focus in the right places, • Support supplier activation and ongoing usage through customer segmentation, campaign tracking, and automated follow-up workflows, • Build, automate, and enhance reporting across the revenue lifecycle, including partner acquisition, supplier enrollment, first funding, repeat usage, and revenue growth, • Manage pipeline reporting and support forecasting with GTM and Finance, connecting commercial opportunities and customer activity to expected funding volume and revenue, • Analyze conversion, engagement, and retention to identify where partners and suppliers get stuck, and work with internal teams to implement and measure improvements, • Improve handoffs across GTM, Product, Risk, and Operations, helping ensure new partnerships and supplier relationships move efficiently from signed agreement to launch and first funding, • Develop partner scorecards and recurring business reviews that make performance clear, surface growth opportunities, and help prioritize commercial efforts, • Document processes, maintain playbooks, and train internal users on systems and workflows to reduce manual work and improve consistency as the business scales What we look for: • 5+ years of experience in revenue operations, sales operations, GTM operations, or a related function, preferably within fintech, lending, payments, or B2B financial services, • BA/BS degree in Finance, Economics, or a related field, or equivalent practical experience, • Hands-on experience administering a CRM (ideally HubSpot), including building workflows, managing data, and implementing integrations, • Strong analytical skills and excellent proficiency in Excel or Google Sheets, with experience building dashboards, forecasts, and actionable business reporting, • Familiarity with SQL, Python, and AI-enabled productivity and workflow automation tools is a strong plus, • Demonstrated ability to translate business needs into practical systems and processes, and drive cross-functional projects from problem identification through implementation, • Strong attention to detail, ownership mentality, and eagerness to live in the details, • Bias for action and ability to bring the right level of rigor while operating with ambiguity and balancing competing priorities, • Ability to translate complex commercial and customer data into clear, executive-level insights, with strong intuition around funnel conversion, customer utilization, retention, and unit economics Key team members you'll work with: • CFO, • CEO, • Sales, • Head of Product, • Engineering, • We are a small, tight-knit team so you will largely interact cross-functionally Have we got your interest? Our recruitment process is straightforward: • Submit your application, • Phone screen, • Three interviews, all over Zoom (in person if in the Denver area) Benefits: • Competitive salary + annual bonus, • Equity in a profitable, early-stage company, • Medical/Dental/ Vision Health Insurance, • 401k, • Flexible PTO, • Remote work from home within the United States, • Quarterly Team Offsites in fun places!

About Zyook Inc. Zyook Inc. is a fast-growing technology consulting and talent solutions company specializing in Information Technology, Engineering, Healthcare, and Digital Transformation. We partner with leading organizations across the United States to deliver innovative solutions and connect exceptional professionals with rewarding career opportunities. At Zyook, we foster a culture of integrity, collaboration, innovation, and continuous learning, empowering our employees to make a meaningful impact while advancing their careers. Key Responsibilities: Design, develop, and implement innovative, scalable backend solutions that deliver exceptional customer and support experiences. Build, maintain, and enhance enterprise applications using C#, .NET Framework, and ASP.NET Core. Design, develop, and optimize secure, high-performance RESTful APIs and microservices. Provide technical leadership and contribute to architecture, system design, and engineering best practices. Collaborate with product managers, business analysts, UX designers, QA engineers, and cross-functional teams throughout the software development lifecycle. Write clean, maintainable, efficient, and well-documented code following industry best practices. Conduct code reviews and contribute to continuous improvement of development standards. Design highly available, fault-tolerant, and scalable distributed systems. Troubleshoot, debug, and resolve production issues while maintaining system reliability and performance. Develop and maintain unit tests, integration tests, and automated deployment pipelines. Participate in Agile ceremonies, sprint planning, technical discussions, and architecture reviews. Mentor junior engineers and promote knowledge sharing across engineering teams. Continuously evaluate emerging technologies and recommend innovative solutions that improve products and engineering processes. Required Qualifications: 8+ years of professional experience in Software Engineering with a strong focus on backend application development. Strong hands-on experience with C#, Microsoft .NET Framework, and ASP.NET Core. Solid understanding of Object-Oriented Programming (OOP) principles, design patterns, and software architecture. Experience designing and developing RESTful APIs, microservices, and distributed systems. Strong knowledge of service-oriented architecture (SOA) and scalable backend application design. Experience designing systems with high availability, reliability, and performance requirements. Experience with SQL Server or other relational databases, including database design and performance optimization. Strong understanding of software quality practices, including unit testing, integration testing, and automated testing. Experience with Git, source control management, and modern CI/CD pipelines. Familiarity with Docker containerization and deployment automation. Strong analytical, debugging, troubleshooting, and problem-solving skills. Excellent written and verbal communication skills with the ability to collaborate across technical and non-technical teams. Bachelor's degree in Computer Science, Software Engineering, Information Technology, or equivalent professional experience. Preferred Qualifications Experience with Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure. Experience with Kubernetes, container orchestration, and Linux environments. Knowledge of secure software development practices, application hardening, and cybersecurity fundamentals. Experience with frontend frameworks such as React, Angular, or modern JavaScript technologies. Familiarity with monitoring, logging, observability, analytics, and reporting platforms. Experience working within Agile/Scrum software development methodologies. Experience collaborating with large, cross-functional engineering organizations. Contributions to open-source projects, technical communities, or personal software projects are highly valued. Experience working on enterprise SaaS platforms, customer support systems, or large-scale cloud applications is a plus. Compensation & Benefits: Annual Salary: $130,000 – $151,000, depending on experience, qualifications, and geographic work location. Competitive compensation package with opportunities for performance-based bonuses and career advancement. Flexible work arrangements, where applicable. Visa Sponsorship: Zyook Inc. welcomes applications from candidates authorized to work in the United States under F-1 OPT, STEM OPT, and H-1B visa status. We support eligible candidates through H-1B transfers, new H-1B filings, and employment opportunities for F-1 OPT/STEM OPT candidates. Sponsorship decisions are based on business needs, candidate qualifications, and applicable U.S. immigration laws. Equal Opportunity Employer: Zyook Inc. is an Equal Opportunity Employer committed to fostering a diverse and inclusive workplace. We welcome applicants from all backgrounds and provide equal employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by applicable federal, state, or local law.