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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 customers who require specialized security solutions for their cloud services. Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. We are seeking a Hardware Design Engineer with role in the definition, design and validation of AWS next generation ML Chips, Cards and server integration. As a senior member of our hardware team, you will have the outstanding and meaningful opportunity to ownn the design and execution of new building block components and server products, with the goal of creating and customized platforms that fit within AWS datacenter’s world leading technology. As a member of the Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers. You’ll provide leadership of new server 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 high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve your 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 You will work closely with internal design teams throughout AWS as well as with Design Partner teams worldwide to produce world class server and rack products. You will own the integration of multiple bespoke components developed by internal Annapurna labs teams and integration of the rack into AWS's infrastructure. About the team Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC) 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. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred 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. • Bachelor's degree in Electrical Engineering or a related field, • Experience in developing functional specifications, design verification plans and functional test procedures, • 5+ years of relevant work experience with complex accelerator, storage or network server designs., • 3+ years of development experience in hardware/ firmware. Proven ability to debug PCIe, memory or storage subsystems., • Working with interdisciplinary teams to execute product design from concept to production spanning internal hardware, firmware and software teams as well as external design partners., • Master's degree or Ph.D. degree in Electrical Engineering or related field, • Experience in RTL coding and debug, as well as performance, power, area analysis and trade-offs, • Experience with modern ASIC/FPGA design and verification tools, • Experience with SOC bring-up and post-silicon validation Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $257,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ___. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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. Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. As a member of the Silicon Optimization Engineering Team you’ll be responsible for the design and optimization of hardware in our data centers. You’ll provide leadership in the application of new technologies to large scale server 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 your 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, implement and verify state-of-the-art Design for Test (DFT) architectures, • Work with block designers to integrate DFT implementations, • Work with physical design team to setup and implement DFT insertion flow, • Develop high coverage and cost effective DFT methodologies, • Perform RTL coding and Verification, • Participate in Silicon debug and write scripts to effectively handle ATE related data, • Communicate and work with team members across multiple disciplines About the team Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC) 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. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred 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. • BS degree in EE, CE, or CS, • 5+ years of practical DFT experience with large processor and/or SoC designs, • Knowledge about industry standard tools and practices in DFT, including ATPG, JTAG, MBIST and trade-offs between test quality and test time, • Experience with automation script development, • MS degree in EE, CE or CS, • Good breadth of knowledge in chip design from micro-architecture through physical design, • Good knowledge of design verification (DV) simulation methodologies, • Experience with large gate-level simulation setup and debug with SDF, • Strong programming and scripting skills in Perl, Python or Tcl, • Experience with industry standard DFT/SCAN/ATPG tools, • Experience with STA constraints development and analysis for DFT modes, • Practical experience with silicon debug Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ___. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Annapurna Labs, is an organization within AWS, that is responsible for building custom silicon and software for AWS customers. With development centers in the U.S. and Israel, Annapurna is at the forefront of innovation by combining cloud scale with the world’s most talented engineers. The Annapurna team covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations. As part of Annapurna Labs Silicon Validation team, you’ll have the opportunity to validate the next generation of cloud computing machine learning accelerators. You’ll experience what it’s like to work in a fast-paced, innovative, and start-up like environment filled with some of the brightest minds in the industry. The work we do is not only cutting-edge and internet-scale but also deeply important to our customers. The team's validation is used to test every component of our hardware and software to come together into products that our customers use for Machine Learning acceleration. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. The scope of this role includes validation of the vertical stack of Silicon, PCB, High Speed components e.g., HBM, PCIe and Chip to Chip, inter-systems and system to system. Diving deep into new technology hardware components and scaling technologies that power our Machine Learning boards and servers at scale. Key job responsibilities As a Senior Validation engineer, you are responsible for validating the chip and system architecture for the next generation Machine Learning Acceleration (MLA) product family. You work closely with design, software & architecture teams and develop in-depth chip and system validation plans, execute on the validation plans, debug and take the MLA product to successful production ramp. This includes validating the design to achieve the best performance, identify bottlenecks and work with design/architecture teams to resolve them. Our work does not stop at production ramp, we continue to support our servers in the datacenter through their lifecycle. A day in the life • Architect system validation strategies, • Develop system validation methodologies and infrastructures for validating machine learning HW and neural networks, • Evaluate and improve performance of Machine Learning systems, • Work with other functional teams to ensure delivery of high quality systems to AWS data centers, • Own validation schedules and reporting of progress metrics, • Provide technical mentoring for junior team members • 5+ years of programming with at least one software programming language experience, • Bachelor's degree or above in computer science, computer engineering, or related field, or Bachelor's degree, • 5+ years of non-internship system test development, code reviews, source control management, build processes, automated deployments, and operations experience., • Experience with Linux environments and Git., • Experience with server hardware and debug tools, • Experience with Machine Learning Hardware/Software Architecture, • Experience with CI/CD, • Experience with EDA Simulations or Emulation 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ___. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Annapurna Labs develops the silicon used in our most advanced machine learning accelerator servers, utilizing the latest process nodes and massively scaled server clusters to provide the best hardware platform to customers for both inference and training workloads. We are seeking a mid-career semiconductor test engineer with a background in classic ATE platforms to create a clean running extremely low DPPM product-line forming the foundation to our servers. As our final product is a server, not just the silicon, you will find yourself stretching beyond structural testing and incorporating a lot more mission profile testing, utilizing a variety of external controlling ICs, porting server management and customer run-time software, including the use of virtualized machines and specific microcontrollers found in the end application. As such a curious mindset and an urge to learn system architecture will greatly benefit you in this role. We are a nurturing and supporting group that will ensure you have access to all tools, code and mentorship needed to become effective in this exciting new way of working! Key job responsibilities Core deliverables you will be responsible for: -Hardware development for probe, final test, system level test. -Software development for each insert -General tool development support 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 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 customers who require specialized security solutions for their cloud services. Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. About AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS 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. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. 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. • Bachelor's In Electrical engineering or Computer Science, • 2+ years of experience in C/C++ and/or Microsoft VBA/VBT and terminal shell environments, • 2+ years on Advantest 93K, Teradyne IGXL based testers or other system level testers, • Familiar with LUA, python, shell scripting, • Compilers, generating SOs and DLLs from large code bases, • Experience with JMP, Optimal plus. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ___. This position will remain posted until filled. Applicants should apply via our internal or external career site.

We're seeking an AI Data and Python Tools Engineer to develop and deploy intelligent tools that leverage big data infrastructure and modern AI architecture. This role combines strong software engineering fundamentals with the ability to build production-ready AI applications at speed, including integration with Model Context Protocol (MCP) systems. Responsibilities: Develop and deploy AI-powered full-stack applications using Python, React, and modern machine learning frameworks Design and streamline data pipelines, train and validate ML models, and implement robust evaluation methods Collaborate with cross-functional teams to solve complex problems and integrate scalable, cloud-based AI solutions Rapidly prototype, test, and iterate on AI tools with a strong focus on performance, flexibility, and scalability Maintain clear technical documentation, perform code reviews, and support the full software development lifecycle Software Engineering & AI/ML Data, Tools Development Proficiency in Python, with a background in back end services and data processing Exposure to AI/ML algorithms Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn) Understanding of LLMs, vector databases, and retrieval systems Experience with Model Context Protocol (MCP) integration and server development Big Data & Cloud Infrastructure Knowledge of building and deploying cloud based applications Hands-on experience with cloud data platforms (AWS/GCP/Azure) Proficiency with big data technologies (Spark, Kafka, or similar streaming platforms) Experience with data warehouses (Snowflake, BigQuery, Redshift) and data lakes Knowledge of containerization (Docker/Kubernetes) and infrastructure as code *Preferred Experience Experience building web applications with modern frameworks (React, Vue, or Angular) API development and integration experience Basic UX/UI design sensibilities for internal tooling Experience with real-time data processing and analytics Background in building developer tools or internal platforms Familiarity with AI/ML operations (MLOps) practices (Experience using airflow) Experience building MCP servers and integrating with AI assistants Knowledge of structured data exchange protocols and API design for AI systems. Location: Austin, TX (Hybrid; Tues-Thurs onsite) Duration: 12+ months Pay: $70/h - $80/h (DOE)

We're searching for an experienced Circuit Design & Analysis engineer with a background in custom circuit design & analysis, system level thermal & power analysis with a proven track record of handling challenges at scale.

Job DescriptionThe company Parq delivers the world's fastest, highest-quality Environmental Product Declarations (EPDs), transforming the complex environmental reporting ecosystem. Through cutting-edge AI and large language models, we empower manufacturers to reduce their environmental impact and create a sustainable future. Our founder created Parq after experiencing the EPD process firsthand. Frustrated by its lengthy duration, exorbitant consulting fees, and complex stakeholder requirements, he witnessed how manufacturing companies—the very builders of our world—were being underserved. This inspired him to revolutionize the process. The opportunity is massive: in 2024, over $400 billion in construction projects required environmental product declarations. Since our founding in 2023, Parq has gained significant traction with ten recurring customers—and over 20 pilots and early-stage engagements. We blend in-person collaboration at our Austin, TX office with flexible 3–5 day work weeks, nurturing a culture where freedom, gratitude, and integrity drive meaningful impact. Your team You'll be joining a small, high-impact team that includes the founder, an experienced engineering leader, and domain experts who bring deep technical and industry knowledge. We believe in bottom-up leadership, where everyone has a voice in shaping our direction. We're excited to see how you'll contribute to our future! Your role As a Senior Software Engineer at Parq, you'll help revolutionize environmental certification through AI and state-of-the-art data retrieval and processing technologies. You will work with our technical projects team to build scalable solutions, implement sophisticated machine learning models, and create APIs for our automated EPD & HPD generation system. Join us in making environmental impact assessment faster and more accessible for manufacturers worldwide. What will this role involve? • Technical Ecosystems & Scalability:, • Design, build, and maintain robust technical ecosystems for new product lines, ensuring scalability and reliability., • Scale and tune vector search engines, implementing semantic reranking and optimizing cosine similarity searches to power advanced data retrieval., • Advanced AI & Data Retrieval:, • Develop and integrate bleeding-edge LLM solutions, leveraging agentic workflows to automate and enhance decision-making processes., • Design and implement RAG (Retrieval-Augmented Generation) engines, to provide real-time, contextually relevant insights., • Build chat bot systems capable of handling inquiries, product analyses, and comparative analysis—integrating modern natural language processing techniques with data analytics., • Product Development:, • Develop SaaS platform integrations, data analytics, and operational reporting tools to support product operations., • Contribute to the evolution of Hazel Brooks, Parq’s AI sustainability assistant, by enhancing her capabilities and embedding her within our products and services., • Environmental Modeling Tools:, • Create tools to support environmental experts in efficiently designing, analyzing, and modeling environmental impacts., • Prototyping & Innovation:, • Design, prototype, and test new solutions with customers, iterating based on their feedback., • Cross-Functional Collaboration:, • Partner with business and technical teams to translate specifications into actionable tasks., • Enhancing Existing Products & Services:, • Enhance current software tools for real-time environmental data reporting., • Reduce research and modeling time for internal experts by creating user-friendly, state-of-the-art solutions., • Technical Expertise:, • Proven experience in cloud computing, scalable system design, and data analytics., • Expertise in modern LLM architectures and agentic workflows., • Hands-on experience with RAG engines, including tuning and scaling vector search engines with semantic reranking and cosine similarity searches., • Familiarity with or interest in advanced retrieval techniques such as Graph RAG., • Proven ability to write production-quality code and lead complex software system designs., • Proficiency in interpreted (e.g., Python) and/or compiled languages (e.g., C++, Go) alongside SQL for database management., • A passion for environmental science and sustainable solutions is a bonus!, • Problem Solving & Collaboration:, • Ability to translate customer pain points into innovative technical solutions., • Strong communication skills to present technical concepts to diverse audiences., • A collaborative mindset for working effectively with cross-functional teams and customers., • Adaptability & Leadership:, • Drive alignment between sales, product, and engineering based on customer needs., • Thrive in our fast-paced startup environment with a hands-on approach to system building., • Lead technical initiatives and mentor junior engineers., • Stay current with industry trends and emerging technologies. Requirements Your interests & background • Experience as a technical leader in a dynamic development organization., • Familiarity with advanced AI tools like ChatGPT or similar, and a keen interest in bleeding-edge LLM capabilities., • Prior experience building applications for industrial, environmental, or sustainability sectors would be great but not required., • Exposure to startups or high-growth companies with a focus on innovation., • 5+ years in software development, with significant architecture and design decision-making experience., • Bachelor's degree in computer science or a related field (or equivalent experience). Though our team is small, we aim high. We've established core principles that we believe will build a great company. • Live Free: We practice living free—free to take action, free to push bounds, and free to bet big., • Embrace Gratitude: We seek to appreciate the positive aspects of life, both big and small, and to focus on a positive mindset., • Take Empathetic Action: We seek first to understand and then to be understood., • Embody Perseverance: What we do is not always easy, but easy things are rarely worth doing. When things get tough, we pull together to accomplish good things. Salary: Top-of-market competitive Equity: Included Relocation Bonus: Available if moving from a different city Benefits Premium health, dental, and vision insurance. Unlimited vacation; mandatory 10 days per year, 5 days must be consecutive.

Job Description Our Client A fast growing standards and insurance startup based in San Francisco, they have raised 15 million dollars in funding and are reinventing how enterprises adopt AI agents. Their two pronged model, which includes creating the industry’s first AI agent standard and pairing it with bespoke insurance coverage, gives AI companies a trusted pathway to certify their agents and reduces enterprise risk. By helping AI vendors earn credible certification and providing insurance protection against failures such as hallucinations, data leaks, or control breakdowns, they enable enterprise buyers to deploy AI with confidence rather than fear. With deep expertise in AI risk, insurance, and standards, they are building the essential “confidence infrastructure” that will support safe AI scale up. About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that’s deeply embedded in our clients’ recruitment operations. We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Location: San Francisco Work type: Full Time, Compensation: above market base + bonus + equity Roles & Responsibilities * Lead end-to-end development of AI agent products and infrastructure, collaborating closely with the founding team. * Build and scale evaluation pipelines to detect AI agent failures in deployment (e.g., hallucinations, jailbreaks, brand risks, data leakage). * Design and implement the gold standard for secure, safe, and reliable AI agents. * Develop and maintain full-stack systems, including backend (Python, LangChain) and frontend (React, TypeScript) components. * Create monitoring tools, filters, and authorization frameworks to support AI agent builders. * Work on-site in San Francisco, contributing to a fast-paced, high-agency startup environment. * Ship products frequently, gather user feedback, and iterate rapidly to improve reliability and safety of AI systems. Qualifications * Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. * 1+ years of experience as an AI Software Engineer with active coding responsibilities. * Proven expertise developing AI agents and LLM-based systems (e.g., published research or work in a leading AI team). * Founding or early-stage startup experience, with demonstrated ability to own end-to-end product development. * Strong understanding of AI evaluation methodologies and deployment reliability standards. * Excellent problem-solving and communication skills with the ability to articulate technical impact in business terms. * Evidence of high agency, ownership, and execution velocity (e.g., promotions in <2 years, side projects, or rapid iteration). * Can work full-time on-site in San Francisco (5 days a week).

Job DescriptionModern Intelligence is building the foundational AI for defense. Over the next decade, the US military and our allies will 10x the number of sensors we field to see the battlefield but cannot 10x the number of service members manually watching sensor feeds – the way sensor data is processed today. At Modern you will be working alongsideengineers, researchers, and businessmen, people who have backgrounds in the Army, the Navy, Biotech, Google, Raytheon, Anduril, the NSA, and more. We have raised more than $12M from investors such as Bedrock, Vine, Contrary, Air Street, Caffeinated, Champion Hill, Swell, Myelin and others. One of our products, Cutlass, is an automated targeting AI that detects, remembers, and shares targets in real time by watching any sensor on any network – Delivering modular, insightful knowledge of where adversaries are on any drone, ship, vehicle, satellite, or command center. Our AI research helps Cutlass learn targets with little data, little compute, and the most intuitive, humane knowledge. Cutlass has been tested in multiple DOD exercises and is currently being used in live DOD missions. We are looking for a Senior Software Engineer to lead the Cutlass software team. We are looking for someone who is an outstanding and productive coder, butalso has strong design and leadership skills. They should be able to take high level requirements from their leaders, refine them, put together a design document, get their document appropriately reviewed, plan, and then lead the execution of those plans with minimal oversight from theirleaders.They should be able to provide an effective interface between their team, other teams, and their leaders both on the technical side as well as on the business side. As the Cutlass Software Lead you will work alongside our Director of Engineering, the Machine Learning Lead, and the Data Science Lead to set the direction for Cutlass as a whole. You will have tremendous influence over our tech stack and architecture, but also the future engineering culture at Modern, as well as the future of Modern as a company. We are gathering the most ambitious AI researchers, software engineers, and mission leaders in defense because we believe defense is the future of defense, and defense is the future of AI. This role requires someone who is capable of getting a DoD security clearance; someone who can work onsite to help establish the engineering culture at the company; as well as someone who is able to travel both domestically and internationally multiple times a quarter. Requirements • Has led a team of 3+ junior engineers on projects that have spanned multiple quarters., • Experience coaching/mentoring junior engineers on topics such as code quality, version control best practices, testing, and other general software engineering skills (as well as be an expert on these topics themselves), • Experience writing and reviewing design documents, • Strong organizational, planning, and communication skills., • Must be capable of getting a security clearance Preferred Qualifications, • Experience with Python, • Experience with Docker or other OCI software, • Experience with time sensitive software (this might be expressed as working on embedded devices, safety critical systems, operating systems, media software, etc), • Experience interfacing Python with other languages (language bindings, SWIG, Boost Python, etc), • Experience with a compiled programming language - preferably either C, C++, or RustNice to Have, • Experience with machine learning, • Experience with ffmpeg or video transcoding, • Experience with optics or applied math, • Experience with Nuitka or other Python compilation, • Experience with Multiprocess Python, • Experience with TypeScript, • Experience with Node.js, • Experience with LLVM

Job Description About Shipwell At Shipwell, we empower supply chain efficiency and service effectiveness at scale. The Shipwell platform includes capabilities previously out of most shippers' technical reach and affordability today. Our solution combines everything shippers need, from transportation management and visibility to procurement, in a comprehensive, easy-to-use platform. It will adapt and scale as market and business demand change, allowing shippers to operate, manage, and optimize the shipping process seamlessly. Industry experts have recognized Shipwell's traction in the market and have differentiated Shipwell as a leader in the logistics industry. Awards include Gartner Magic Quadrant for TMS 2025, 2024, 2023, 2022, 2021, Food Logistics' 2024 Top Software & Technology Providers, and FreightWaves' FreightTech 2022 and 2021 Awards for Innovation and Disruption in Freight Industry. Shipwell was also named the fourth fastest-growing company in North America on the 2021, 2022, and 2023 Deloitte Technology Fast 500 and Forbes 2020 Next Billion-Dollar Startup. Our Culture Shipwell is a fast-paced, high-energy start-up that strives to build the future of shipping every day. Diversity of thought and cross-department collaboration is very important to us. We deliver open, honest, careful communication and work as hard as we play. We create & deliver solutions that are revolutionizing the industry, which brings excitement and purpose to our work. If you are looking for a place that will help you tap into your best work-self and give you hands-on experience building something big, then we invite you to come and build the future of shipping with us! About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building and scaling our AI-powered logistics solutions. You'll design, develop, and maintain the data pipelines and ML infrastructure that power our autonomous digital workers and drive data-driven decision-making across the organization. Your work will span the full machine learning lifecycle—from extracting and transforming data from diverse sources to implementing production-grade ML models in our cloud environment. You'll optimize our AWS infrastructure, establish data integrity standards, and create scalable architectures that enable research teams to access the data they need. Working closely with engineering, analytics, data science, and product teams, you'll take our machine learning capabilities to the next level. This is a dynamic opportunity to become the expert on Shipwell's ML and data infrastructure, make critical technical decisions, and contribute to projects at the forefront of GenAI and machine learning in the logistics industry. You'll own the processes you create and have the opportunity to grow your skills while revolutionizing how the supply chain operates. What we're looking for: • Experience designing and implementing ML models and maintaining relevant data in AWS, • Experience working with DevOps to enable your team access to the tools they need, • Contributing to every part of the machine learning product lifecycle, • Proven track record of implementing data engineering best practices in all aspects of the data pipeline, i.e. ETL, data integrity, and monitoring, • Demonstrable proficiency with Python, dbt, SQL, and modern ML tooling, • Experience working with large-scale data model refactoring for better performance, interpretability, and maintainability, • Experience with version control tools (GitHub, GitLab) and Agile methodologies., • Experience with agentic tooling and pipelines including LangChain, LangGraph, and LangSmith, • Bachelor's Degree in a quantitative field such as Physics, Engineering, Computer Science, or demonstrated equivalent quantitative experience., • Excellent communication skills to effectively collaborate with different teams within the engineering orgWhat you'll do when you get here:, • Collaborate closely with our engineering, analytics, data science, and product teams as we take our machine learning projects and infrastructure to the next level, • Right at the start you will be contributing to existing ML projects, creating and maintaining the data pipelines they need, and communicate the results to the organization, • You will own all of the data and ML processes you create, • You will become the expert on our machine learning and data infrastructure and make critical decisions in our path forward, • Enjoy working remotely with the added perk of a home office reimbursement, • Unlimited Paid Time Off (PTO), • A robust healthcare package that includes medical, dental & vision benefits, short-term and long-term disability, AD&D coverage, and flexible/health savings accounts, • 401K program where Shipwell matches up to 4%, • All employees receive stock options, • A yearly learning and development budget, • Subsidized internet, cell phone, fitness, and educational reimbursements, • Virtual team-building events where fun and connection take center stage, • Join a vibrant, inclusive workplace shaped by friendly, talented individuals, • Receive a technology package, including a MacBook Pro Shipwell is an equal opportunity employer and welcomes all qualified applicants regardless of race, ethnicity, religion, gender, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristic protected by law. We celebrate diversity and believe that experience comes in different forms. Diversity in our team makes for better problem-solving, more creative thinking, and ultimately, a better product and company culture. Even more important than your resume is a clear demonstration of impact, dedication, and the ability to thrive in a fast-paced and collaborative environment. Shipwell strives to have an inclusive work environment; so if you are hard-working & good at what you do, then please come as you are. We want you to contribute, grow, & learn at Shipwell. We are looking forward to adding new perspectives to our team! Shipwell employees will only ever email you about this position from a @shipwell.com email address. For more information about Shipwell visit shipwell.com, or connect with us on Twitter @shipwell, LinkedIn, and Facebook.com/Shipwellinc

Job DescriptionIf this role is still posted then we are still recruiting and needing applications.Job Title:& Senior Cloud Infrastructure EngineerLocation:& San Francisco, CA. Remote unavailable.Modality: On-Site only. & & & & & & & & & Must live within commuting distance of San Francisco or be willing to relocate.Relocation Assistance: NoEmployment Type:& Salaried W2 Full-Time.Salary Range: $175,000 - $250,000& About the company We represent a pioneering open source technology company in San Francisco that is transforming the way creators interact with generative AI. They are the team behind a powerful, node based visual interface that gives artists, developers, and innovators the ability to design, control, and customize AI workflows with complete flexibility. Their platform allows users to connect modular components, build complex pipelines, and run everything locally with impressive speed and precision. Their mission is to make generative AI open, transparent, and accessible to everyone. Built around community collaboration and creative empowerment, their tools help users experiment freely and bring their ideas to life. Whether it is visual storytelling, image generation, or advanced machine learning, their technology gives creators the freedom to explore without limitations. & About the Role In this role, you will take the lead on designing, deploying, and maintaining large-scale distributed systems that power AI workloads. The ideal candidate is deeply technical, self-sufficient, and motivated by solving complex infrastructure challenges. You will work closely with core engineers to shape the company’s long-term infrastructure vision while ensuring scalability, performance, and reliability across environments. & What You’ll Do * Design, build, and maintain the core infrastructure that powers AI workloads at scale * Manage and automate GPU compute clusters using tools such as Python, Kubernetes, Terraform, and Ansible * Architect and operate systems for orchestration, observability, distributed storage, and networking * Ensure reliability, scalability, and performance across production environments * Collaborate closely with core engineers to design infrastructure for new features and systems * Contribute to technical strategy and long-term infrastructure vision * Drive best practices for infrastructure automation, deployment, and monitoring & Requirements * 5+ years experience as an Infrastructure Engineer or Site Reliability Engineer building and operating large-scale distributed systems * Skilled in Python and comfortable working with infrastructure-as-code tools such as Terraform and Ansible * Familiar with container orchestration systems such as Kubernetes and related tooling like FluxCD, Prometheus, and Grafana * Capable of managing high-performance GPU environments across cloud and bare metal setups * Highly adaptable, resourceful, and motivated by building things from the ground up * Excited to work in a small, fast-growing team where autonomy and accountability are key * Comfortable working on-site in a startup setting where collaboration and speed matter most & Bonus Points * Experience contributing to or maintaining open-source projects * Background working with AI infrastructure, ML pipelines, or GPU orchestration * Strong computer science fundamentals and ability to work across different programming languages or frameworks

Job Description We're seeking an experienced ML Engineer with a strong background in computer vision and time-series modeling. You're skilled at every stage of the ML lifecycle—from defining problems and exploring data, to developing, deploying, and iterating on models. You adeptly balance rigorous modeling with practical software engineering, integrating ML solutions seamlessly into production systems. You understand the nuances between offline metrics and real-world performance, translating complex, abstract problems into actionable ML strategies. You thrive in ambiguous, fast-paced environments, approaching challenges with curiosity and analytical rigor. Complex, unsolved problems, particularly those involving visual data and behavioral analysis, motivate you. You're passionate about making tangible impacts by taking ownership of projects from initial prototype through production deployment. About Us Senseye is a NeuroTechnology Company in Austin, TX on the cusp of revolutionizing Mental Health. Over the past 6 years we have invested millions of dollars in R&D to build our platform allowing us to measure cognitive activity via the eye through mobile phones. Through multiple iterations and use cases we are now focused on building the world's first objective mental health diagnostic on top of our core technology. Our first diagnostic is for PTSD and is entering clinical trials now, followed soon by additional indications for Anxiety and Depression. As the world struggles with a mental health crisis, it is not hyperbolic to suggest that an objective diagnostic platform, that gives clinicians a safe and objective accurate approach to identifying and monitoring mental health disease, will redefine how mental health services are provided, and will enable access to treatment for millions of sufferers. The Senseye platform has the potential to be the technology that drives this change. This is a great opportunity to shape the future of digital medicine and address unmet medical needs that affect billions of people worldwide. Requirements • Design, develop, and deploy ML models focused on computer vision and time-series analysis (e.g., semantic segmentation, point-of-gaze tracking, keypoint detection, photoplethysmography, MAMBA, dilated 1D CNNs, sparse attention transformers)., • Select optimal architectures and training methods that align with constraints around data collection, annotation quality, timelines, and budgets, such as incorporating semi-supervised and few-shot techniques when applicable., • Develop and maintain robust, production-grade ML services supporting critical user workflows., • Monitor production model performance, establishing evaluation frameworks that accurately reflect real-world use., • Conduct comprehensive exploratory data analyses to guide problem scoping, feature engineering, and model selection., • Collaborate closely with platform and infrastructure teams to optimize ML tooling and data pipelines., • Translate ambiguous business needs into structured ML problems and actionable technical roadmaps., • Identify new data signals, design experiments, and iteratively refine models to maximize user impact., • Review, contribute, and maintain high-quality, testable, and well-documented ML pipelines., • Lead technical discussions and clearly communicate modeling strategies and outcomes to internal stakeholders., • Stay informed on emerging research and tools, integrating them effectively when beneficial. Qualifications • 5+ years of applied ML experience, including deploying models to production., • Expertise in computer vision and/or time-series modeling, with experience in video or camera-based systems strongly preferred., • Strong statistical modeling skills, particularly in extracting signals from noisy datasets., • Proficiency in Python and deep learning frameworks (PyTorch, JAX, TensorFlow)., • Proven track record of translating academic research into scalable, practical ML solutions., • Experience with large-scale data systems, MLOps tooling, and model versioning practices., • AbilitComfort managing ambiguity and independently driving projects to completion to clearly communicate technical solutions and their business impact to varied audiences. Additional Qualifications • Expert-level proficiency in Python and at least one deep learning framework (PyTorch, JAX, etc.)., • Experience adapting recent research into innovative methods tailored to business needs., • Demonstrated creative problem-solving ability, evidenced by patents or novel techniques., • Experience managing scientific projects within industry or academia., • Excellent written and verbal communication skills, able to bridge technical and non-technical audiences effectively. Extra Points • Direct experience with computer vision or camera/video-based systems., • Ownership, deployment, and maintenance of model-serving pipelines in production., • Expert-level coding skills focused on clarity, efficiency, and maintainability, complemented by rigorous testing practices., • Experience with probabilistic modeling or Bayesian approaches., • Familiarity with healthcare, SaMD, or regulated industries, including validation and compliance standards. Our Hiring Process • Phone screening, • Testlify Test, • Two interviews with Senseye manager and peers, • Final interview with David Zakariaie, Senseye CEO, • Offer Target timeline: • Start interviews as soon as candidates complete Testlify., • The freedom and trust to define your role as we design, build, and ship our products, • Competitive salary and stock option plan, • Flexible paid time off (vacation, sick leave, and public holidays), • Flexible schedules, • Company health care plan, • Medical, dental, and vision insurance, • Short and long term disability insurance, • Life insurance policy, • 401k, • Commuter benefits for parking, public transit, carshares, etc., • Mothers' room, • Fully stocked kitchen, • Opportunities for continuing education Senseye is dedicated to building a community of employees that are diverse, passionate, and engaged. We are committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, marital status, disability, or veteran status. When we're safe, healthy, and balanced we can accomplish phenomenal things together.

Job DescriptionSkyGrid, a Boeing Company, exists to open the sky for autonomous flight. Based in Austin, Texas, SkyGrid builds ground based high-assurance third-party services to enable the safe operations and airspace integration of highly automated and autonomous aircraft. SkyGrid also acts as a key operational nexus for advanced air mobility, integrating and managing data, infrastructure, access, and traffic to support seamless and efficient air traffic services. SkyGrid is seeking an Autonomy Engineer III to join our Advanced Air Mobility (AAM) R&D team to build the future of safe, efficient, and scalable Air Traffic Management (ATM) solutions. You will be responsible for taking autonomy concepts from early-stage ideas through prototyping and validation to establish system requirements. In this role, you will focus on maturing autonomy capabilities to support technology maturation through prototype development. You will collaborate with multidisciplinary teams, external partners, and customers. As an Autonomy Engineer III, you will be provided opportunities to establish yourself as an externally recognized leader for our technology. This position also involves occasional travel to support lab and flight test activities, and internal and industry demonstration events. Performance Objectives: • Develop, analyze, and evaluate enhancements to ground-based traffic surveillance solutions., • Demonstrate successful testing and simulation results for one or more autonomy capabilities., • Contribute to Technical Maturation Reports supporting progression towards Technology Readiness Level (TRL) 5., • Further mature capabilities beyond TRL 5 in concert with cross-functional teams such as software, product, and V&V., • Build strong and collaborative working relationships with cross-functional teams and external partners., • Ensure all developed code and models meet appropriate standards, for example DO-178C., • Support deployment for field tests or demonstrations., • Deliver multiple new functions and enhancements to SkyGrid services., • Ensure all software artifacts – including models, generated code, handwritten code, and test cases – comply with applicable standards (internal and external)., • Lead technical reviews of assigned functions or enhancements with stakeholders., • Engage with team members to learn and impart best practices to improve our organization. Responsibilities:, • Take autonomy concepts through iterative R&D prototyping, testing, and analysis to generate formal system requirements., • Implement algorithms using a variety of approaches with Simulink, C/C++, MATLAB, Python, and others as appropriate., • Prepare documentation and contribute to varying technical documents, particularly technology maturation reports., • Collaborate with internal teams to define functional and performance requirements for autonomy-based functions., • Collaborate with software engineers to design and develop integration interfaces within the overarching product codebase., • Participate in design reviews, Software-in-the-Loop (SIL) / Hardware-in-the-Loop (HIL) testing, live flight testing, and demonstration events., • Foster collaboration by engaging with external organizations, research institutions, and industry partners, as well as supporting technical publications and conference contributions. Qualifications:, • Minimum 6 years of experience in autonomy, control systems, robotics, or aerospace software development., • B.S. in Computer Science, Aerospace Engineering, Robotics, or related field., • Work experience in algorithm development or R&D for autonomous systems., • Experience with mathematical formulation of vehicle kinematics and dynamics, route planning, optimization, conflict detection and resolution algorithms, • Proficiency in software prototyping leveraging varied appropriate technologies such as Simulink, MATLAB, C/C++, and Python., • Strong understanding of networking principles and communication protocols., • Strong proficiency in authoring APIs, ICDs, and other technical documentation for software and hardware integration., • Familiarity with R&D of algorithms and functions that enable autonomous systems., • Development, integration, and testing in SIL/HIL simulation environments., • define the problem statement., • conduct state-of-the-art analysis., • analyze problems that are not clearly defined., • identify possible solutions., • Transportation networks., • Tactical or strategic conflict detection and resolution for air vehicles., • Flight planning., • Machine learning., • Resource optimization., • Advanced Air Mobility., • Bayesian or probabilistic modelling., • Control theory. Preferred Qualifications:, • M.S. or Ph.D. in Computer Science, Aerospace Engineering, Robotics, or related field — or equivalent industry experience., • Completion of MathWorks certified training in topics such as Simulink, Model-Based Design, and Embedded Coder., • Familiarity with aviation and air traffic management operations., • Familiarity with developing software in alignment with industry standards, such as DO-178C., • Experience developing software for Real-Time Operating Systems (RTOS)., • Experience contributing to evolving system and software requirements., • Strong interpersonal skills to work in a cross-functional team. Join Our Team and Enjoy Exceptional Benefits:, • Comprehensive Health Coverage from Day One: Enjoy immediate access to medical, dental, and vision insurance, including HSA and FSA options., • Generous Retirement Contributions: Benefit from an automatic company 401k contribution program, with no match required, plus an additional company matching program to boost your retirement savings., • Calm Annual Membership: Prioritize your mental health with complimentary access to mindfulness and meditation resources., • Discounted ClassPass Membership: Stay active and healthy with access to thousands of fitness studios and gyms nationwide., • Investment in Your Growth: Receive an annual stipend for learning and development to support your continuous education and skill development, • Engaging Team Activities: Participate in quarterly team-building events and celebrations organized by our dedicated culture committee.

Job DescriptionCompany Description About Mirantis Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy. Job Description Mirantis is looking for a talented Sustaining Engineer with experience in Golang, Docker, Kubernetes and public clouds to help us maintain and evolve the Containers platform. You will join the Sustaining Engineering team working on the following technologies: Mirantis Kubernetes Engine, Mirantis Secure Registry and Mirantis Container Runtime. You are a friendly, effective communicator who is inherently interested in solving complex problems and delivering a high-level of customer satisfaction with every customer interaction (via help content and tickets). You enjoy building reproducers and finding bugs. You sling code for fun. You will work closely with Knowledge Management, Engineering, and Product Management to represent the voice of the customer. Main Responsibilities * Become an expert in Mirantis Cloud Native Platform technologies and customer deployment environments * Research customers’ software patches requirements, design and develop features along with patch improvements in Golang for Mirantis Cloud Platform * Create best-in-class help content and proactively perform audits for our publicly-facing knowledge management system * Partner cross-functionally with product and solution experts to co-develop reference architecture content * Apply advanced troubleshooting techniques (debug and diagnose) on critical, highly complex problems that span multiple layers of the technology stack * Engage with the product engineering teams to resolve technical issues related to Docker/Kubernetes * Build and maintain customer based reproducer environments for use by your team and other technical teams at Mirantis * Reproduce customer issues and package bug reproducers for product engineering * Diagnose and develop code-level fixes, apply patches, and re-package for customer test * Drive deep technical post-mortems on behalf of customers Qualifications * BS degree in Computer Science, Software Engineering or equivalent practical experience * 3+ years of combined experience in Software Development, Technical Support or Sustaining Engineering experience * Knowledge of Go programming language * Knowledge of Kubernetes and Docker * Experience in designing and implementing REST APIs * Familiarity with Linux distributions (RHEL, CentOS, Ubuntu, and SLES) * Demonstrated ability to perform code-level analysis of complex issue * Extensive experience troubleshooting remote Linux system issues Additional Information What does Mirantis offer you? * Work with an established Silicon Valley leader in the cloud infrastructure industry. * Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies. * Be a part of cutting-edge, open-source innovation. * Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued. * Professional development and training. * Attend conferences and working groups. * Customized workstation (macOS, Windows). * Professional development and training. * A competitive compensation package with strong benefits plan and stock options. It is understood that Mirantis, Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for. You also have the right to appeal any decisions made by ADMT by sending your request to By submitting your resume, you consent to the processing and storage of your personal data in accordance with applicable data protection laws, for the purposes of considering your application for current and future job opportunities. We are a Leader for Container Management in G2 (#2 after AWS)!

Job Description We’re making the world a more walkable place. Through intuitive personal mobility, we make walking faster, more efficient, and more accessible to empower people to choose walking over sitting in traffic. By giving people the ability to Moonwalk, we believe the path forward to a better future is easily reached on your own two feet. Help us advance the world’s fastest shoes by designing, prototyping, and testing reliable and innovative hardware. We want an engineer ready to push the boundaries and one who makes the impossible a reality. We are looking for a work ethic similar to an engineer in Formula One. You must deliver and iterate quickly. We are not here for mediocrity, we are here to create elegant engineering designs. Is it demanding? Sure, but it is also rewarding and fun. While we embark on developing the next generation of Moonwalkers, we need to add to the Gait Control team, where we are looking for a person with real-world experience in developing a bipedal locomotion controller and an eye for detail. You will work with our mechanical team on the sensor and actuator packaging, the electronics team to balance performance and cost, and our software team to run your controller in the most efficient and reliable fashion. We are covered in Wired, CNET, Gizomodo, PCMag and many other tech press. Responsibilities: • The Gait Control Engineer is a critical position and will be responsible for leading the development of the gait control algorithm by applying machine learning, sensor fusion and bipedal locomotion control., • You will prototype novel algorithms in simulation and evaluate them on the actual prototype., • You will develop control strategies for various poses and gait, implement and evaluate the control system onto the real-world machine., • You will solve complex problems through efficient models that run on low-cost embedded systems with limited computational resources., • You will act as a solid system expert in ensuring safe and intuitive response of Shift shoes at all times., • You will be responsible for determining how to best design for performance requirements and system safety. You will determine what is most important, potential problems that may arise and for developing designs and solutions to enhance performance and reception., • You will develop production-quality embedded code with the firmware team and own your algorithms from design to production. Requirements • At least 2 years research and development experience in bipedal locomotion, actuated prosthetics, or humanoid robotics, and published papers in internationally recognized conference or journals., • Forward and Inverse Kinematics and Dynamics., • Model predictive control., • Expertise in control systems, state estimation, multibody dynamics, or optimization, • Sensor fusion and state estimation., • Proficient with Matlab, Python or other prototyping language., • Demonstrated excellence in real-time control and processing using C and C++., • Familiar with Matlab Simulink or physical model simulation such as Mujuco., • Experience developing, debugging, and optimizing real-time controls on highly dynamic machines., • Strong intuition for physical movement in machines, and insight into the physics of motion., • Opportunities for participation in our Employee Options programs, • 401K retirement plan, • Excellent medical, dental, and vision insurance, • Sick and Vacation time (Flex time for salary positions), and Paid Holidays, • Massive Growth Opportunities and a long-term career, • Casual and comfortable work environment

Job Description Lead Robotics Engineer – Own the Autonomy Stack for Next-Gen Tactical Robotics! Austin, TX | Onsite Opportunity Summary A pre-seed, well-funded startup is building autonomous ground robotic systems designed to counter emerging drone and aerial threats for national security applications. With an active prototype already in place, a brand-new lab, and regular field testing, the team is moving quickly from concept to operational capability. As the Lead Robotics Engineer, you will partner directly with the CTO to own development of the full autonomy stack. This role spans firmware, perception, control systems, and sensor integration, giving you broad technical ownership and the opportunity to see your work tested in real-world conditions. You’ll help shape the system architecture, define product direction, and play a pivotal role in turning advanced robotics into deployed counter-UAS capabilities. About Us We are a fast-moving robotics startup focused on counter-drone (C-UAS) solutions for defense and national security. Our leadership team brings deep expertise in robotics, autonomy, and defense technology, with proven track records of delivering innovative systems in high-stakes environments. Backed by strong financial support, we operate with urgency, leveraging an active prototype, new lab facilities, and frequent field campaigns to iterate rapidly and validate performance. Job Duties • Design and bring up robotic systems from the ground up, including embedded integration, driver development, and sensor selection., • Write and optimize firmware in C++ or Rust for real-time operating systems managing motion, communications, and sensors., • Develop and tune control algorithms such as PID or model-predictive controllers for electromechanical actuation., • Calibrate and integrate IMUs, cameras, and encoders to support visual-inertial state estimation., • Apply sensor fusion techniques (e.g., EKF, UKF) for robust real-time tracking and stabilization., • Build Python-based tools for logging, visualization, calibration, and automation., • Lead rapid test cycles in lab and field environments to validate control and perception systems., • Debug issues across embedded software, hardware, and mechanical subsystems., • Architect scalable and reliable frameworks for real-time robotics platforms., • 5+ years of experience developing robotic platforms, embedded systems, or real-time control software., • Proficiency in C++ (modern standards) and Python., • Strong foundation in PID control, sensor feedback systems, and electromechanical actuation., • Experience with embedded development on RTOS platforms (e.g., NVIDIA Jetson or equivalent)., • Hands-on experience with sensor calibration, data fusion, and system-level debugging., • Familiarity with communication protocols such as CAN bus, UART, and other real-time interfaces., • Skilled at low-level debugging using oscilloscopes, logic analyzers, or similar tools., • Rust for embedded platforms., • Experience with ROS2, DDS, or other real-time middleware., • Exposure to adaptive or model-predictive control techniques., • Familiarity with GPU programming (CUDA) or parallel compute frameworks., • PCB design knowledge or experience working within EMI/EMC constraints., • Understanding of distributed systems, networking, or DevOps workflows (Docker, CI/CD)., • Play a founding-team role with significant ownership and visibility., • Work side-by-side with the CTO to shape core architecture and direction., • Full-stack robotics ownership across firmware, control, perception, and tools., • Mission-driven focus on solving urgent defense challenges in counter-UAS systems., • Active prototypes, frequent field testing, and a brand-new robotics lab., • Hardware-first culture with rapid iteration and real-world validation., • Competitive salary plus early equity. $150,000 - $210,000

Job DescriptionTitle: Cloud Engineer - Full Stack DeveloperLocation: Rochester, NY; hybrid candidates considered with 2x quarterly onsite presence Reports to: VP of Operations As a member of our Professional Services team, you will assist in the building, deploying, and maintaining of critical customer applications. In this role, you will provide thought leadership and hands-on technical execution to optimize client environments and ensure robust, scalable applications. Responsible for:-Assisting in the designing and building modern and highly scalable cloud-based applications for customers-Migrating and modernizing customer legacy applications using AWS services-Working with Project Managers and clients to provide recommendations and technology roadmaps to meet their business needs-Actively participating in team meetings and cross-functional interactions-Keeping team members and supervisors informed of progress and issues-Actively contributing to client project status meetings-Contributing to R&D projects to validate/invalidate new services offerings-Remaining current with technology trends and new technologies-Proposing the latest technology usage and integration standards-Developing and managing backend infrastructure, APIs and integrations to support cloud-based solutions, using programming languages like Python, Java, and PHP-Participating in code reviews, document infrastructure-as-code, and assist with UI/UX-Building out frontend interfaces and dashboards for applications and infrastructure using languages like Angular and React-Utilizing best practices for security, compliance, and business continuity in cloud solutions How you will be successful:-Bridging the gap between technical complexity and business objectives through adept problem-solving abilities-Building trusting relationships with team members and collaborating departments-Comfortable with pushing boundaries and technical limits (maintain technical aptitude and knowledge of industry)-Confidently communicating with diverse stakeholders to translate requirements into impactful outcomes-Championing ongoing elevation of personal skills paired with knowledge transfer to teammates-Having the ability to rapidly learn new languages, frameworks, or business domains as needed to meet the diverse needs of multiple clients Requirements of the role:-5+ years’ experience as a cloud engineer with hands-on expertise across AWS cloud services-Strong experience with infrastructure-as-code tools like CloudFormation-Experience coding in multiple languages including Node.js, Python, Angular, React, .NET Core, .NET Framework-Experience using AWS platforms including but not limited to Cognito and Amplify-Understanding of modern app architectures in cloud environments-Able to collaborate with cloud engineer and project management teams-AWS Certification(s) a must have (can be obtained upon hire) - minimum requirement at 90 days is AWS Certified Developer Associates-In-depth experience with one or more programming languages like Java, JavaScript, Python, C# used for developing cloud-native applications.-Understanding of cloud computing concepts - IaaS, PaaS, serverless, containers etc.-Working knowledge of Amazon Web Services - key services like EC2, S3, Lambda, API Gateway, ECS, Fargate, RDS etc.-Experience using AWS command line tools and SDKs to manage infrastructure as code-Building, deploying, managing microservices applications on AWS-Working with AWS data storage solutions like DynamoDB, NoSQL, and Aurora RDS-Experience with containers & orchestration platforms like Docker, Kubernetes on AWS Security best practices for applications in the public cloud Additional Valuable Skills: -Experience with CI/CD pipelines and automated testing-Building event-driven architectures on cloud platform-Using infrastructure as code tools like CloudFormation -Frontend JavaScript frameworks like React-Machine learning capabilities like SageMaker-Leveraging serverless architectures where applicable The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionSaronic Technologies is a leader in revolutionizing defense autonomy at sea, dedicated to developing state-of-the-art solutions that enhance maritime operations for the Department of Defense (DoD) through autonomous and intelligent platforms. Job Overview We are seeking a Perception Engineer to play a pivotal role in designing, developing, and implementing perception systems for our autonomous surface vessels. You will work on the forefront of technology, applying your expertise in computer vision, machine learning, and sensor fusion to create robust and reliable perception solutions that enable our ASVs to navigate and make critical decisions in complex maritime environments. Responsibilities • Algorithm Development: Develop and optimize computer vision and machine learning algorithms for object detection, classification, tracking, and scene understanding, • Sensor Fusion: Integrate data from a variety of sensors, such as cameras, LiDAR, radar, and GPS, to provide a comprehensive perception system for ASVs, • Real-time Processing: Implement real-time data processing pipelines to ensure rapid and accurate perception feedback to the ASV's control system, • MLops: Collaborate with data annotation teams to create labeled datasets for training and validation of perception algorithms, • Performance Optimization: Optimize perception algorithms for efficient use of computational resources, ensuring they meet the real-time requirements of autonomous navigation, • Testing and Validation: Conduct extensive testing and validation of perception systems in simulated and real-world maritime environments, identifying and addressing issues as they arise, • Documentation: Maintain comprehensive documentation of perception software, including code, algorithms, and test results, • Collaboration: Work closely with multidisciplinary teams, including hardware engineers, control engineers, and navigation experts, to integrate perception systems into the ASVs, • Stay Current: Keep abreast of the latest advancements in computer vision, sensor technologies, and machine learning to continually improve and adapt perception systems Qualifications, • Proficiency in programming languages such as Python, C++, and CUDA, • Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch), • Understanding of various filters and their applications, • Basic proficiency in Rust, • Experience with maritime or autonomous vehicle projects is a plus, • Experience with signals processing or sensor fusion is a plus, • Experience with low latency inference and tracking pipelines is a plusBenefits, • Medical Insurance: Comprehensive health insurance plans covering a range of services, • Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care, • Saronic pays 100% of the premium for employees and 80% for dependents, • Time Off: Generous PTO and Holidays, • Parental Leave: Paid maternity and paternity leave to support new parents, • Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses, • Retirement Plan: 401(k) plan, • Stock Options: Equity options to give employees a stake in the company’s success, • Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage, • Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office Physical Demands, • Prolonged periods of sitting at a desk and working on a computer, • Occasional standing and walking within the office, • Manual dexterity to operate a computer keyboard, mouse, and other office equipment, • Visual acuity to read screens, documents, and reports, • Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies

Job DescriptionIf this role is still posted then we are still recruiting and needing applications.& Position:& Full Stack EngineerSalary Range: $130,000 - $195,000, depending on experienceExperience Required: 6+ yearsJob Location: Arlington, VAModality: On-Site only. & & & & & & & & & Must live within commuting distance of Arlington, VA. or be willing to relocate. & & & & & & & & & Relocation is required but not required prior to starting.Relocation Assistance: YesUS Citizenship Required: Yes About the Role: Our client is hiring a Full Stack Engineer who loves building products from start to finish. You will shape features, architect scalable systems, and bring clarity to complex problems through thoughtful design and clean code. This is a hands-on role where your ideas and ownership will directly shape the product. We are looking for someone who thrives in a fast-paced environment, values collaboration, and enjoys solving problems that have not been solved before. What You Will Do • & & Own projects from concept to launch, including design, architecture, and implementation., • & & Work across the entire stack, from building APIs to developing intuitive frontends and component libraries., • & & Design system architecture that scales and supports product growth., • & & Build tools and visualizations that make complex data easy to understand., • & & Write reliable, maintainable, and well tested code using TypeScript, JavaScript, React, and Node.js., • & & Collaborate with teammates and users to understand workflows and deliver impactful solutions., • & & Take initiative, share feedback, and help define technical direction. Requirements • & & 6+ years of experience as a full stack engineer, preferably in a startup or high growth environment., • & & Strong knowledge of TypeScript, JavaScript, React, and Node.js., • & & Proven frontend development experience., • & & Experience with system design, architecture, and software best practices., • & & The ability to think critically about tradeoffs and build for long term maintainability., • & & Clear communication skills and a collaborative approach to teamwork., • & & A positive, low ego attitude focused on shared success. Nice to Haves • & & Experience working at large scale technology companies such as AWS, Capital One, or similar., • & & Background in building AI or machine learning enabled products., • & & Experience developing internal tools or platforms that empower other engineers. Additional Expectations • & & US Citizenship is required due to U.S. Department of Defense contracts.

Job DescriptionSkyGrid, a Boeing Company, exists to open the sky for autonomous flight. Based in Austin, Texas, SkyGrid builds ground based high-assurance third-party services to enable the safe operations and airspace integration of highly automated and autonomous aircraft. SkyGrid also acts as a key operational nexus for advanced air mobility, integrating and managing data, infrastructure, access, and traffic to support seamless and efficient air traffic services. The SkyGrid team is seeking a talented Airspace Integration Engineer with a background in developing aviation human-machine systems interfaces to support SkyGrid’s mission to enable the airspace integration of emerging aircraft operations worldwide. This role will play a critical part in developing human-systems interfaces for ground-based automation systems that will be used by aircraft operators and air traffic controllers to support high-density, low-altitude operations in airspaces worldwide. This is a hybrid position based in Austin, TX and will report to the Airspace Integration Manager within SkyGrid’s Research and Development (R&D) organization. Performance Objectives: • Contribute to the design of novel user interfaces for SkyGrid’s operator-facing services., • Assess, track, and document the Human Readiness Level (HRL) of in-development SkyGrid products., • Collaborate with other Human Factors and User Experience specialists to translate customer needs into actionable work items that drive user-interface development., • Coordinate human-in-the-loop test plans for SkyGrid’s ground-based automation systems supporting the airspace integration of Advanced Air Mobility (AAM)., • Identify and document design philosophy for novel user interfaces based on human factors principles. Responsibilities:, • Collaborate with other Human Factors and User Experience engineers at SkyGrid to design innovative user interfaces for Advanced Air Mobility (AAM) traffic management systems., • Create low-fidelity wireframes to explore and validate workflows, information hierarchy, and interaction patterns early in the design process., • Create high-fidelity UI designs that accurately represent the final visual design for implementation in software., • Coordinate human-in-the-loop tests for ground-based automation systems supporting the airspace integration of AAM., • Monitor and analyze trends in the design of user interfaces for AAM traffic management tools. Qualifications:, • Bachelor's degree or higher in Human Factors, UI/UX Design, Aerospace Engineering, or related field., • Minimum of 6 years of related experience in aerospace/flight operations., • Experience designing user interfaces for aviation applications., • Working knowledge of FAA and MIL-STD human factors design standards., • Proficiency with industry-standard design tools (e.g., Figma)., • Familiarity with UX design systems., • Experience conducting user research and task analyses., • Experience evaluating human performance and user experience using both qualitative and quantitative methods., • Familiarity with user-facing systems used for air traffic management., • Experience designing user interfaces for certified aviation products, such as flight deck displays and crew alerting systems. Join Our Team and Enjoy Exceptional Benefits:, • Comprehensive Health Coverage from Day One: Enjoy immediate access to medical, dental, and vision insurance, including HSA and FSA options., • Generous Retirement Contributions: Benefit from an automatic company 401k contribution program, with no match required, plus an additional company matching program to boost your retirement savings., • Calm Annual Membership: Prioritize your mental health with complimentary access to mindfulness and meditation resources., • Discounted ClassPass Membership: Stay active and healthy with access to thousands of fitness studios and gyms nationwide., • Investment in Your Growth: Receive an annual stipend for learning and development to support your continuous education and skill development, • Engaging Team Activities: Participate in quarterly team-building events and celebrations organized by our dedicated culture committee.

Job DescriptionSkyGrid, a Boeing Company, exists to open the sky for autonomous flight. Based in Austin, Texas, SkyGrid builds ground based high-assurance third-party services to enable the safe operations and airspace integration of highly automated and autonomous aircraft. SkyGrid also acts as a key operational nexus for advanced air mobility, integrating and managing data, infrastructure, access, and traffic to support seamless and efficient air traffic services. SkyGrid is seeking an Autonomy Engineer II to help develop cutting-edge solutions for airspace automation. This role will focus on designing and implementing autonomy functions to enable safe, scalable Advanced Air Mobility (AAM) operations and enhance Air Traffic Management (ATM). This position will contribute to refining SkyGrid’s autonomy architecture, translating high-level technology concepts into working prototypes to support real-time decision-making, conflict detection and resolution (CD&R), collaborative traffic management, and adaptive mission planning in complex airspace environments. This is a hybrid position based in Austin, TX, reporting to the Principal Airspace Automation Manager. Performance Objectives: • Utilize product design requirements and operational use-cases to develop functional architecture and preliminary algorithm., • Progress service to Technical Readiness Level (TRL) 2 (conceptual development) and TRL 3 (prototype)., • Conduct unit and integration testing (TRL 4/5) and document a minimum viable product version of the service., • Enhance the service capability and work with software engineers to transition service to high fidelity production environments (TRL 6/7)., • Update concepts, use cases, and engineering artifacts based on technology maturation. Responsibilities:, • Lead the end-to-end development of autonomous air traffic management functions—from concept to prototype., • Collaborate with product and systems engineers to define functional and performance requirements for autonomy-based functions., • Collaborate with software engineers to design and develop integration interfaces within the overarching product codebase., • Specify and execute Software-in-the-Loop (SIL) testing to validate autonomy functions and generate relevant test result artifacts., • Drive innovation by brainstorming and developing novel autonomy solutions, contributing to research and development efforts in autonomous airspace management., • Foster collaboration by engaging with external organizations, research institutions, and industry partners, as well as supporting technical publications and conference contributions. Qualifications:, • B.S. in Computer Science, Aerospace Engineering, Robotics, or related field., • Minimum of 3 years of autonomy engineering experience, with a strong focus on concept-to-prototype development., • Work experience in algorithm development or R&D for autonomous systems., • Programming Languages: Python, C/C++., • Familiarity with R&D of algorithms and functions that enable autonomous systems., • Development, integration, and testing in SIL simulation environment., • Experience in air traffic management research and development., • Experience with mathematical formulation of vehicle kinematics/dynamics, route planning, optimization, conflict detection and resolution algorithms, • Translation of advanced algorithms and mathematical concepts into clean, working code., • define the problem statement, • conduct state of the art analysis, • analyze problems that are not clearly defined, • identify possible solutions, • adapt solution scope to fit timelines Preferred Qualifications:, • M.S. or Ph.D. in Computer Science, Aerospace Engineering, Robotics, or related field., • Familiarity with aviation and air traffic management operations., • Experience in R&D and functional development in one or more of the following areas:, • Transportation networks, • Tactical or strategic conflict detection and resolution for air vehicles, • Flight Planning, • Machine Learning, • Resource optimization, • Advanced Air Mobility, • Bayesian or probabilistic modelling, • Comprehensive Health Coverage from Day One: Enjoy immediate access to medical, dental, and vision insurance, including HSA and FSA options., • Generous Retirement Contributions: Benefit from an automatic company 401k contribution program, with no match required, plus an additional company matching program to boost your retirement savings., • Calm Annual Membership: Prioritize your mental health with complimentary access to mindfulness and meditation resources., • Discounted ClassPass Membership: Stay active and healthy with access to thousands of fitness studios and gyms nationwide., • Investment in Your Growth: Receive an annual stipend for learning and development to support your continuous education and skill development, • Engaging Team Activities: Participate in quarterly team-building events and celebrations organized by our dedicated culture committee.

Job DescriptionWe’re changing the way people connect to social care. At Findhelp, we’ve built a comprehensive platform of products and services that make it easy for you to connect people to resources, follow them on their journey, and track your impact in a fast and reliable way. Our industry-leading social care network includes more than half a million local, state, and national programs that serve every ZIP Code in the country, from rural areas to major metropolitan centers. Findhelp is headquartered in Austin, Texas and has been enabling healthcare, government, education, and other organizations to connect people with the social care resources that serve them, with privacy and security, since 2010. As a mission driven organization, we are focused on creating a positive impact by connecting people in need to the programs that serve them with dignity and ease. Powered by our proprietary technology that enables people to find the resources available in their area, we have helped millions of Seekers find food, health, housing and employment programs. At Findhelp, we believe everyone deserves access to the help they need, with dignity and ease. As a Senior Staff AI/ML Engineer, you will help shape the future of social care in America through the responsible application of cutting-edge AI. This is more than just a technical position. It’s an opportunity to turn advanced machine learning into real-world impact, improving access to essential services for families, care providers, and entire communities. You’ll lead the development of production-ready AI solutions while laying the foundation for an AI-first culture across Findhelp. Your work will not only define our company-wide AI strategy but also leave a lasting legacy on how millions experience care.Responsibilities and Duties: • Lead transformative AI initiatives that directly address customer pain points, improve access to social care, and instill an AI-first mindset across the organization., • Partner with internal and external stakeholders to identify opportunities for scalable AI adoption., • Act as a force multiplier by building production-ready AI/ML solutions that deliver measurable value to our users, and then mentoring teams across the company to independently explore and implement AI solutions., • Define and build scalable AI/ML infrastructure and tools that enable rapid experimentation, streamline development, and reduce barriers to company-wide AI innovation., • Establish and enforce responsible AI guidelines ensuring fairness, transparency, privacy, security, and explainability in everything we deploy., • Collaborate with external vendors and research partners to evaluate tools, models, and technologies that meet evolving business needs., • Support go-to-market efforts by working with analytics, and sales teams to communicate the impact and ROI of AI-powered features., • Translate emerging AI trends into actionable strategy, architectural guidance, and internal enablement to keep findhelp at the forefront of innovation in social care technology.Qualifications:, • Master’s degree (or higher) in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, or a related technical field., • 8+ years of experience building production-ready AI/ML solutions optimized for performance, scalability, and responsible AI principles., • Hands-on experience with large language models (LLMs), including open-source and commercial offerings, and advanced prompt engineering., • Expertise in model optimization techniques such as retrieval-augmented generation (RAG), fine-tuning, reinforcement learning, and pre-training., • Familiarity with agentic AI patterns, multi-agent systems (including control patterns), and orchestration frameworks (e.g., LangChain, LangGraph) is a strong plus., • Strong background in NLP, supervised learning, and deep learning, with a record of deploying impactful AI/ML solutions at scale., • Proficiency in Python and modern ML frameworks such as PyTorch, TensorFlow, and Huggingface., • Experience deploying AI/ML systems on cloud platforms, ideally GCP, with a strong understanding of performance, scalability, reliability, and maintainability trade-offs., • Deep understanding of modern software architecture, engineering best practices, and safeguards needed for scalable and secure AI systems., • Working knowledge of modern web development technologies to effectively collaborate with engineering teams and deploy AI solutions in production environments., • Familiarity with regulated domains such as healthcare or social care is a plus., • Demonstrated passion for responsible AI, including principles of fairness, transparency, privacy, ethical use, and explainability., • Exceptional communication and collaboration skills, with the ability to align cross-functional teams and drive company-wide impact., • Experience building from the ground up in fast-paced, high-growth environments, laying foundations, setting best practices, and scaling both people and technology.

Job DescriptionIf this role is still posted then we are still recruiting and needing applications.& THIS IS NOT A REMOTE OR WORK FROM HOME POSITION.& Please read this PDF before applying: recruiting-guy.co/obviant-fullstack-more-info& Position:& Full Stack EngineerSalary Range: $130,000 - $195,000, depending on experienceExperience Required: 6+ yearsJob Location: Arlington, VAModality: On-Site only. & & & & & & & & & Must live within commuting distance of Arlington, VA. or be willing to relocate. & & & & & & & & & Relocation is required but not required prior to starting.Relocation Assistance: YesUS Citizenship Required: Yes About the Role: Obviant is hiring a Full Stack Engineer who loves building products from start to finish. You will shape features, architect scalable systems, and bring clarity to complex problems through thoughtful design and clean code. This is a hands-on role where your ideas and ownership will directly shape the product. We are looking for someone who thrives in a fast-paced environment, values collaboration, and enjoys solving problems that have not been solved before. What You Will Do • & & Own projects from concept to launch, including design, architecture, and implementation., • & & Work across the entire stack, from building APIs to developing intuitive frontends and component libraries., • & & Design system architecture that scales and supports product growth., • & & Build tools and visualizations that make complex data easy to understand., • & & Write reliable, maintainable, and well tested code using TypeScript, JavaScript, React, and Node.js., • & & Collaborate with teammates and users to understand workflows and deliver impactful solutions., • & & Take initiative, share feedback, and help define technical direction. Requirements • & & 6+ years of experience as a full stack engineer, preferably in a startup or high growth environment., • & & Strong knowledge of TypeScript, JavaScript, React, and Node.js., • & & Proven frontend development experience., • & & Experience with system design, architecture, and software best practices., • & & The ability to think critically about tradeoffs and build for long term maintainability., • & & Clear communication skills and a collaborative approach to teamwork., • & & A positive, low ego attitude focused on shared success. Nice to Haves • & & Experience working at large scale technology companies such as AWS, Capital One, or similar., • & & Background in building AI or machine learning enabled products., • & & Experience developing internal tools or platforms that empower other engineers. Additional Expectations • & & US Citizenship is required due to U.S. Department of Defense contracts.

Job DescriptionAbout Base Base is building the foundation of American power. The grid is the largest, most complex machine in the world. Yet it’s aging, struggling to keep up with today’s demand, and is unprepared for our electrified future. Base is modernizing the grid as the first engineering-led, technology-driven power company. We’re deploying a nationwide network of distributed batteries that strengthens critical infrastructure and saves Americans money. Our team of engineers, operators, creatives, technicians, and electricians design and deploy systems at speed. If you want to tackle the problem that will define this century and shape the future of American energy, now is the time. Join us. About the Role As our Deployment Operations Engineer [Field Operations], you are the technical expert and central lifeline for our field crews. You are the voice of Base from mission control, providing end-to-end guidance to ensure every battery installation and service call is safe, efficient, and successful. This is not a typical support role. You’ll be the interdisciplinary link between our field electricians, our engineers, and our members, using tools like Grafana and Retool to monitor system health while troubleshooting issues over the phone, text, and Slack. This role offers a unique opportunity to develop a 360-degree view of our technology. You’ll gain real-world expertise in hardware, software, and field operations, all while contributing directly to the improvement of our product and deployment playbooks. This role is best suited for a tech-savvy experienced electrician who enjoys solving complex problems in real-time or for a fast-learning generalist that can flex into any scope and excel. Over time, this position could grow into potential field leadership, operations, or engineering roles. What You'll Do * Typical week: ~75% of your time live-supporting field crews during installations and service calls; ~25% analyzing issues, updating playbooks, and collaborating with other teams. * Provide end-to-end guidance and troubleshooting for battery installations and service calls over phone, text, and Slack. * Serve as the first line of technical support for in-field electrical questions and hardware issues, escalating complex compliance issues and documenting new solutions. * Identify field issue trends over time and flag high impact issues to hardware, software, or deployment teams. * Work closely with Member Experience to ensure the best possible experience for our members. * Create and maintain troubleshooting aid and hardware defect logs. * Create, track, and close service tickets through Jira or Odoo. * You’ll directly impact installation speed, safety, and uptime while your insights will shape our hardware roadmap and operating procedures. What You'll Bring * 2+ years in a technical support, electrical, or IT troubleshooting role. * Strong foundation in electrical concepts; licensed electrician or hands-on field experience is a plus but not required. * Proven ability to quickly learn complex technical systems (electrical code, hardware, and software tools). * 4-year degree or equivalent electrical experience. * Strong communication and organization skills – bilingual is a plus but not required. * Ability to multitask, remain calm under pressure, de-escalate high pressure situations, be decisive, and practice patience. * Desire and ability to think analytically and creatively to resolve complex issues and suggest process improvements. * Attention to detail in communicating accurately and clearly, tracking field interactions, and documenting solutions. * Comfortable with ambiguity and a fast-paced environment to quickly adapt to changes while maintaining high-quality support. * Tech savvy, with a knack for quickly mastering new tools and systems. * Team player motivated by the mission who always puts the company’s best interests first. This role is critical to ensuring seamless operations and high customer satisfaction. If you’re highly organized, process-driven, and eager to improve and scale deployment operations, we’d love to hear from you! Our Values We’re building a winning culture and we’re looking for people who are up for the challenge. Here’s what we expect from day one: * In-Person Only: We work full-time in the office. No hybrid. No remote. * Challenge the Status Quo: Question assumptions. Fix broken systems. Principles > rules. * Move Fast: Focus on what matters, act quickly, and learn by doing. * Give & Get Feedback: Be direct, be humble. Challenge ideas–including your own. * Own the Outcome: Take full responsibility. Deliver results. No excuses. * Act Like an Owner: Be resourceful, mindful of impact, and committed to the business. * Be Decisive: Drive clarity. Make bold calls with imperfect info. * Bring the Intensity: This is not a 9-to-5. We're building something hard which requires real commitment.

Job DescriptionW2 Acceptable Data Engineer III Location: Austin, TX 78727 Duration: 12 Months+ Fully remote - MUST work CST hours Simulation, statistical analysis, data science models, machine learning, predictive models Design, create, refine, and maintain data processes and pipelines used for modeling, analysis, and reporting using SQL (ideally Snowflake and PostgreSQL), Python and pipeline and transformation tools like Airflow and dbt • Conduct detailed data research on internal and external geospatial data (POI, geocoding, map layers, geometrics shapes), identify changes over time and maintain geospatial data (shape files, polygons and metadata), • Operationalize data products with detailed documentation, automated data quality checks and change alerts, • Support data access through various sharing platforms, including dashboard tools, • Troubleshoot failures in data processes, pipelines, and products, • Communicate and educate consumers on data access and usage, managing transparency in metric and logic definitions, • Collaborate with other data scientists, analysts, and engineers to build full-service data solutions, • Develop and communicate architectures, code patterns and data structure design choices to team of data scientists, analysts and engineers laying out tradeoffs, • Optimize query and database performance through designing, creating, refining, and maintaining performance management system, • Work with cross-functional business partners and vendors to acquire and transform raw data sources, • Design, create, refine, and maintain data ingestion process, • Provide frequent updates to the team on progress and status of planned work #TB_EN #ZR Company DescriptionFounded in 2002 by three former Monster.com executives; TalentBurst is an award-winning full-service Staffing Firm working directly with Fortune 500 companies in the US and Canada. We specialize in Contract and Contract to Permanent roles across many industries and have direct/contractual relationships with all our clients. Please visit our website or come meet us at our offices in Natick, MA, Miami, FL, Christiansburg, VA, Vineland, NJ, Houston, TX & downtown San Francisco, CAFounded in 2002 by three former Monster.com executives; TalentBurst is an award-winning full-service Staffing Firm working directly with Fortune 500 companies in the US and Canada. We specialize in Contract and Contract to Permanent roles across many industries and have direct/contractual relationships with all our clients. Please visit our website or come meet us at our offices in Natick, MA, Miami, FL, Christiansburg, VA, Vineland, NJ, Houston, TX & downtown San Francisco, CA

Job Description The Company Parq delivers the world's fastest, highest-quality Environmental Product Declarations (EPDs), transforming the complex environmental reporting ecosystem. Through cutting-edge AI and large language models, we empower manufacturers to reduce their environmental impact and create a sustainable future. Our founder created Parq after experiencing the EPD process firsthand. Frustrated by its lengthy duration, exorbitant consulting fees, and complex stakeholder requirements, he witnessed how manufacturing companies—the very builders of our world—were being underserved. This inspired him to revolutionize the process. The opportunity is massive: in 2024, over $400 billion in construction projects required environmental product declarations. Since our founding in 2023, Parq has gained significant traction with ten recurring customers—and over 20 pilots and early-stage engagements. We blend in-person collaboration at our Austin, TX office with flexible 3–5 day work weeks, nurturing a culture where freedom, gratitude, and integrity drive meaningful impact. Your Role Build a new platform from the ground up: Parq is seeking a Senior Full Stack Engineer with a strong front-end focus to spearhead development of our web dashboard and data tools. You’ll own the user interface and experience for a our new SaaS platform – zero-to-one development with no legacy code. If you thrive in fast-moving startups and love working with Next.js/React to create beautiful, data-rich applications, this is your opportunity to have outsized impact on both a product and mission. Why this role is special: You’ll be building from scratch in a greenfield environment, transforming complex, unstructured datasets into intuitive visualizations and insights. As the frontend lead, you will architect and build interactive dashboards and analytics tools that help users understand their data at a glance. You’ll also collaborate closely with our backend team (working with Python, FastAPI, LLMs, and retrieval-augmented generation systems) – together bringing cutting-edge AI features to life in the UI. This means you’ll be on the forefront of integrating modern AI (LLM workflows, embedding-based search) into a seamless product experience for our customers. What You’ll Do • Lead Frontend Development: Design and implement the entire front-end architecture using Next.js and React. You will set coding standards, choose frameworks/libs, and build out the structure of a high-performance single-page application., • Own User Experience: Take ownership of UI/UX decisions for dashboards and SaaS platform components. You’ll have freedom (and responsibility) to make the product easy to use and visually appealing, from layout and navigation to performance optimizations and accessibility., • Build Data-Rich Features: Create intuitive dashboards, interactive visualizations, and data tools that turn unstructured data into actionable insights for users. You’ll be plotting complex data in clear, compelling ways – think charts, graphs, and real-time updates for analytics., • Innovate with AI & Search: Develop frontend components that integrate with our AI-powered backend – e.g. embedding-based search interfaces, smart autocomplete and filtering, and displaying results from LLM analysis. You’ll help surface outputs of our retrieval-augmented generation (RAG) pipelines in a user-friendly manner., • Collaborate Across the Stack: Work closely with backend engineers to consume FastAPI endpoints and ensure smooth end-to-end functionality. You’ll influence API design and adjust frontend implementations to accommodate large language model outputs and other backend services., • Startup Leadership: Operate in a small, fast-paced startup team where you can wear multiple hats. You might prototype a quick feature for a demo one week and refine the design of a core component the next. Your ideas will directly shape the product, and you’ll help establish best practices for the growing engineering team. Requirements What We’re Looking For • Senior Frontend Expertise: 5+ years of experience building modern web applications, with deep proficiency in JavaScript/TypeScript, React, and ideally Next.js (or similar SSR frameworks). You’ve built and shipped complex front-end features or products from scratch before., • UI/UX & Data Visualization Skills: Proven ability to craft intuitive user interfaces for data-heavy applications. Experience with charts/graphs libraries (d3.js, Chart.js, etc.) or building custom visualizations is a big plus. You can turn large datasets or analytical results into a clean, engaging visual experience., • Full-Stack Knowledge: Comfort working with backend technologies and APIs. You can consume and debug RESTful APIs (experience with Python/FastAPI or similar is a bonus) and you understand how front-end and back-end align for a robust product. While your focus is frontend, you’re capable of diving into the backend when needed to unblock or tweak an API., • AI/Data Enthusiasm: Exposure to unstructured data or ML/AI-driven products is a nice-to-have. Maybe you’ve integrated a third-party NLP service, worked with search or recommendation APIs, or are just eager to learn about vector embeddings and LLMs. You don’t need to be an AI expert, but you’re excited to work on a product that involves machine learning and intelligent data processing., • Ownership & Drive: You take initiative and can lead projects end-to-end with minimal guidance. As a senior engineer, you make architectural decisions, write high-quality maintainable code, and mentor others through code reviews and knowledge sharing. You thrive in environments with autonomy, and you enjoy the responsibility of making critical technical decisions., • Adaptability: Ability to work in a fast-paced startup context – you’re agile, handle ambiguity well, and can balance quick iterations with engineering rigor. Experience at a startup or in a small, cross-functional team is valued., • Impact & Ownership: Your work will directly shape a mission-driven product in its early days. As one of the first senior engineers focusing on frontend, you’ll have a high degree of ownership and a visible impact on product direction. This role offers the chance to grow into a frontend lead/architect as the company scales., • Cutting-Edge Challenges: Work on truly innovative problems at the intersection of climate tech and AI. You’ll be tackling challenges in data visualization, user experience design for AI outputs, and integration of modern AI (LLMs) into a real product. It’s a playground for honing skills in a hot area of tech., • Talented, Passionate Team: Join a small team of engineers, data scientists, and sustainability experts who are passionate about our mission. We maintain a collaborative, low-ego culture where everyone’s ideas are valued. You’ll work closely with the Head of Engineering and founders, giving you exposure to all aspects of building a startup. Our founder aspires to fish with his great-grandchildren in rivers where his grandfather taught him. To achieve this, we need solutions to help businesses identify and reduce their environmental impact for future generations. Though our team is small, we aim high. We've established core principles that we believe will build a great company. • Live Free: We practice living free—free to take action, free to push bounds, and free to bet big., • Embrace Gratitude: We seek to appreciate the positive aspects of life, both big and small, and to focus on a positive mindset., • Take Empathetic Action: We seek first to understand and then to be understood., • Embody Perseverance: What we do is not always easy, but easy things are rarely worth doing. When things get tough, we pull together to accomplish good things. Salary: Top-of-market competitive Equity: Included Relocation Bonus: Available if moving from a different city Benefits Premium health, dental, and vision insurance. Unlimited vacation; mandatory 10 days per year, 5 days must be consecutive.

Job Description Life at Plume At Plume, we believe that technology isn't about moving faster, it's about making life's moments better. Which is why we've built the world's first, and only, open and hardware-independent service delivery platform for smart homes, small businesses, enterprises, and beyond. Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected spaces—and human experiences—at massive scale. We now deliver services to over 60 million locations globally and have managed over 3 billion devices on our platform. We're expanding rapidly, pioneering a new category, and we achieved our Series F funding in just four years. Our customers include many of the world's largest Internet Service Providers (ISPs) who look to Plume to help them evolve their smart home offerings while gleaning insights from their own data. With a bias for action and a love for being trailblazers, the team at Plume embodies a combination of relentless curiosity and imaginative innovation. We challenge ourselves to think in ways that other companies don't, work to do what should be done (rather than what can), and if we can't do it exceptionally well, we don't do it. It's how we've assembled a team of world-class builders, thinkers, and doers. And it's how we're reinventing what's possible every day. Staff Customer Solutions Engineer Plume is seeking an experienced and highly motivated Staff Customer Solutions Engineer to join our dynamic team. As a key technical advisor, you'll work directly with Internet Service Providers (ISPs), acting as the bridge between their business needs and our cutting-edge solutions. You'll play a crucial role in the sales process, from initial discovery to successful deployment, ensuring our partners achieve maximum value from our products. This is a fantastic opportunity for a technically adept individual with a passion for networking, cloud, and AI who thrives in a customer-facing role. Primary Responsibilities • Technical Trusted Advisor: Engage with ISPs to deeply understand their technical and business requirements, and then effectively demonstrate how Plume's solutions can meet and exceed those needs., • Product Demos & Trials: Conduct compelling product demonstrations and manage complex proof-of-concept (PoC) and field trials, showcasing the tangible benefits of Plume's technology., • System Integration: Collaborate with our internal Customer Engineering, Product Management, and Operational teams to understand and deliver Plume's solutions within a customer's ecosystem. You'll work to integrate our solutions into their existing BSS/OSS, CRM, ticketing, and AI platforms using APIs and other integration methods., • Sales Enablement: Work closely with the sales organization to drive revenue, achieve sales quotas, and contribute to the overall growth of the business., • Presentations & Events: Prepare and deliver high-impact presentations, including Quarterly Business Reviews (QBRs), and represent Plume at industry events and conferences., • Product Development Input: Provide valuable feedback to our product and engineering teams based on customer requirements and market trends, helping to inform the development of new features and solutions., • Technical Support: Offer prompt local and remote technical support for PoCs, lab trials, and deployment ramp-ups, ensuring a smooth and successful customer journey., • Industry Expertise: Continuously research and stay up-to-date on the latest industry standards and emerging technologies in networking, cloud architectures, and AI.Experience & Qualifications, • Hands-on Technical Experience: Strong hands-on experience in the configuration and deployment of software and hardware, including Wi-Fi, networking equipment, and cloud services. A fundamental understanding of cloud architectures and AI principles is essential. Deep understanding and knowledge of Residential and SMB Gateways is a big plus., • ISP SaaS Experience: Proven experience working with ISPs to deploy large-scale SaaS network solutions to millions of endpoints., • Communication & Collaboration: A track record of developing and maintaining professional, cooperative relationships with all levels of staff and customers., • Networking & Cloud Certifications: Relevant certifications such as CWNA, CCNA, or AWS Solutions Architect are highly preferred., • Problem-Solving: Excellent analytical and problem-solving skills with the ability to troubleshoot complex technical issues in a fast-paced environment.Qualification Requirements, • Experience: 5+ years of related experience working with network, security, SaaS, and/or AI industries., • Education: A BS/BA degree in a relevant field or equivalent work experience., • Industry Knowledge: In-depth industry knowledge and a strong understanding of SDN and wireless technologies, solutions, and product offerings are preferred., • Communication Skills: Advanced written and oral communication skills. An employee's base salary and its position within the range may depend on a number of factors including job related knowledge, education, skills, experience and other business related considerations. Published ranges are provided in good faith at the time of posting. #RemoteWork #LI-Remote #WorkFromHome #RemoteJob #WFH About Plume As the creator of the only open, hardware-independent, cloud-controlled experience platform for ISPs and their subscribers, Plume partners with over 400 ISP customers, including some of the world's largest such as Comcast, Charter, Liberty Global, and J:COM. Using OpenSync, the most widely supported open-source, silicon-to-cloud framework for smart spaces, Plume's software-defined network allows ISPs to decouple their service offerings from hardware and rapidly curate and deliver new services over a multi-vendor, open-platform architecture. Plume is an equal opportunity workplace that maintains a continuing policy of nondiscrimination in all employment practices and decisions, ensuring equal employment opportunities for all qualified individuals without regard to race, color, creed, religion, sex, national origin, age, physical or mental disability, sexual orientation, gender identity, marital status, pregnancy, childbirth or related individual conditions, medical conditions (as defined by state law), military or veteran status, or any other characteristic protected by federal, state or local law.

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

Job DescriptionCompany Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Essential Functions We are seeking a Site Reliability Engineer to work in the Product Reliability Engineering function within Operations & Infrastructure. This individual will: • Perform day-to-day site reliability engineering functions including maintenance and incident resolution for Visa's applications, products, and services., • Perform ongoing/proactive analysis of applications to detect potential problems and actively engage & facilitate the discussion to find the best possible solution., • Work under direct supervision to ensure on-time delivery of projects, and production support plans for upgrades, enhancements, and deployments., • Work closely with service partners such as product development, engineering teams to seamlessly implement the innovative solutions to improve the reliability, scalability, and efficiency., • Assist in automating the routine tasks and processes to improve overall efficiency and reduce human errors., • Actively participate in troubleshooting activities and SWAT calls and drive investigation towards swift resolution., • Build comprehensive and robust documentation repositories that can facilitate knowledge transfer among PRE and Global Operations peers., • Assist the team with implementing GenAI and machine learning trends to continuously optimize the application reliability and efficiency., • Participate in on-call roster to support business including off-hours. Basic Qualifications • 2 or more years of work experience, • Working knowledge of one or more programming languages such as Python, Java, .NET, C#, PowerShell, Bash scripting., • Understanding of Linux/Unix systems, • Understanding of networking concepts, protocols, and architecture., • Proven track record of automating complex tasks and processes to improve efficiency and reliability, • Cloud technologies such as AWS, Azure, etc., • Database management systems such as MSSQL, MongoDB, etc., • Middleware technologies such as Tomcat, Apache, etc., • Containerization technologies such as Docker, Kubernetes, etc., • Infrastructure-as-code tools such as Terraform, Ansible, etc., • Monitoring tools such as Splunk or other Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 84,600 to 119,650 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Job Description Data Science EngineerJob Details • Data Science Engineer (Contract), • Location: Austin TX, 78758 (Hybrid), • Duration: 11/17/2025 to 11/13/2026, • Team: Fraud ADUS Key Responsibilities:, • Develop and implement end-to-end ML models for fraud detection and risk mitigation, emphasizing high-precision classification., • Work closely with Cyber Fraud Investigations and Data Engineering teams to establish data science frameworks and embed insights into operational processes., • Create and automate dashboards, feature pipelines, and model scoring outputs in collaboration with various stakeholders. Required Skills & Qualifications:, • Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field., • Advanced degrees are a plus., • 5 years of experience in data science and machine learning., • Demonstrate expertise in ML techniques, SQL, Python/R, and big data frameworks., • Hands-on experience with AI agents and LLMs - Preferred., • Showcase a successful history of leading impactful data science initiatives., • Exhibit strong communication and teamwork abilities., • This role is not suitable for entry-level candidates or interns. Compensation:, • $65.00 to $69.72 per hour.#36557742

Job DescriptionJob Description Job Title: Software Data Engineer Location: Hybrid (Austin, TX) Security Clearance: Active DoD Secret Clearance We question. We listen. We adapt. Be honest. Be pragmatic. Omni Federal, a Washington, DC-based software solutions provider founded in 2017, specializes in delivering mission-critical and enterprise solutions to the federal government. Originating from the Department of Defense's software factory ecosystem, Omni focuses on Command and Control, Cybersecurity, Space, Geospatial, and Modeling & Simulation. The company leverages commercial technology to enhance the capabilities of the DoD, IC, and their end-users, with innovation driven by its Omni Labs and SBIR Innovation centers. Omni has a presence in Boston, MA, Colorado Springs, CO, San Antonio, TX, and St. Louis, MO. Why Omni? * Environment of Autonomy * Innovative Commercial Approach * People over process We are seeking a passionate Software Data Engineer to support the Army Software Factory (ASWF) in aligning with DoDM 8140.03 Cyber Workforce requirements and broader compliance mandates. The Army Software Factory (ASWF), a first-of-its-kind initiative under Army Futures Command, is revolutionizing the Army’s approach to software development by training and employing self-sustaining technical talent from across the military and civilian workforce. Guided by the motto “By Soldiers, For Soldiers,” ASWF equips service members to develop mission-critical software solutions independently—especially vital for future contested environments where traditional technical support may be unavailable. This initiative also serves as a strategic prototype to modernize legacy IT processes and build technical readiness across the force to ensure battlefield dominance in the digital age. Required Skills: * Active DoD Secret Clearance (Required) * 4+ years of experience in data science, data engineering, or similar roles. * Expertise in designing, building, and maintaining scalable ETL/ELT pipelines using tools and languages such as Python, SQL, Apache Spark, or Airflow. * Strong proficiency in working with relational and NoSQL databases, including experience with database design, optimization, and query performance tuning (e.g., PostgreSQL, MySQL, MongoDB, Cassandra). * Demonstrable experience with cloud data platforms and services (e.g., AWS Redshift, S3, Glue, Athena; Azure Data Lake, Data Factory, Synapse; Google BigQuery, Cloud Storage, Dataflow). * Solid understanding of data warehousing concepts (e.g., Kimball, Inmon methodologies) and experience with data modeling for analytical purposes. * Proficiency in at least one programming language commonly used in data engineering (e.g., Python, Java, Scala) for data manipulation, scripting, and automation. * CompTIA Security+ Certified or otherwise DoDM 8140.03 (formerly DoD 8570.01-M) compliant. Nice to Have: * Familiarity with SBIR technologies and transformative platform shifts * Experience working in Agile or DevSecOps environments * 2+ years of experience interfacing with Platform Engineers and data visibility team, manage AWS resources, and GitLab admin , About Omni Federal Omni Federal is a small business Defense Contractor focused on modern application development & deployment, cloud enablement, data analytics and DevSecOps services for the Federal government. Our past performance is a mix of commercial and federal business that allows us to leverage the latest commercial technologies and processes and adapt them to the Federal government. Omni Federal designs, builds and operates data-rich applications leveraging advanced data modeling, machine learning and data visualization techniques to empower our customers to make better data-driven decisions. We are on the forefront of Modernization and Automation, and are providing our Customers the option through our services to help them get to where they want to be, and ultimately the end-user.

Job DescriptionSaronic Technologies is a leader in revolutionizing defense autonomy at sea, dedicated to developing state-of-the-art solutions that enhance maritime operations for the Department of Defense (DoD) through autonomous and intelligent platforms. Job Summary: As a Mission Operations Engineer, you will be hands-on with the deployment, validation, and iterative improvement of large (100+ft) autonomous surface vessels. Your work will directly support both project-based deliverables (e.g., capability rollouts) and ongoing programs (e.g., V1 software release). You will help ensure our systems meet rigorous technical and operational standards through detailed testing, data analysis, and cross-functional coordination. You are able to meet deadlines and achieve desired outcomes as both an individual contributor and as a part of your teamResponsibilities • How you support the mission, • Develop deep understanding of vehicle HW and SW architecture, and how the vehicle operates as a integrated system., • Lead planning and execution of structured field tests for vessel performance pertaining to autonomous navigation, perception, communications, and sensor integration, among other vessel functionalities., • Diagnose and perform real-time troubleshooting of autonomy, networking, and onboard hardware or software during test events., • Implement solutions for testing, safety of vessel operations, and system robustness to maximize efficiency., • Own data logging and telemetry monitoring systems; ensure data integrity for post-test analysis., • Contribute to root cause analysis (RCCA) and issue triage workflows after field anomalies, with reporting to relevant review boards to eliminate repeat issues., • Maintain autonomous vessels and test environments, including vessel and support craft operations, through the use of telemetry tools and onboard diagnostics to enhance reliability of all equipment and products., • Ensure testing aligns with DoD performance, compliance, and safety standards when applicable., • How you support the team, • Lead planning and execution of test cases to validate software updates, autonomy behaviors, and integrated system functionality., • Interface with autonomy, software, hardware, and systems teams to translate product requirements into field-validated test objectives., • Foster a collaborative and positive team environment, promoting open communication, knowledge sharing, and continuous improvement., • Develop test procedures, checklists, and safety protocols to support repeatable and safe vessel operation and overall mission execution while eliminating process waste., • Create post-mission reports with detailed logs, data plots, issue summaries, and engineering feedback.Qualifications, • Basic Qualifications, • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, • 1+ years of hands-on engineering experience (design teams and previous internships qualify), • Preferred Qualifications, • 2-3+ years of hands-on experience in heavy industry environments, such as launch vehicles, ships, or heavy equipment, requiring cross-disciplinary understanding of mechanical, electrical, fluid and software components., • Strong problem-solving and troubleshooting skills (HW/SW) and ability to work effectively in challenging field conditions such as off-shore in open water for an extended duration (i.e. 30-45 days), • Experience and knowledge of best practices in planning and execution of complex test operations involving autonomous systems, • Knowledge of networking protocols and communication systems used in autonomous vessels, • Systems engineering experience, ability to understand multi-disciplinary integrated systems, • Experience with sensor integration such as EO/IR, radar, IMU, and data processing, • Experience with integration and testing of multi-disciplinary integrated systems, • Experience with maritime operations and seamanship, including vessel navigation, COLREGs compliance, watchstanding (deck or mission console for 24/7 operations), small boat handling, launch and recovery procedures, and coordination with bridge and deck crews during shipboard operations, • Experience with robotics, AI, or machine learning applications, • Familiarity with software development in Rust, Python, or other languages and CLI environment, • Understanding of DoD requirements and standards for autonomous systems, • Experience working with embedded systems and real-time computing, • Job requires up to 50% travel., • STCW Basic Safety Training (or willingness to complete), TWIC (if required), current marine medical certificate, and valid passport, • Must be able to pass a background check and USCG/DOT drug testing, • Security clearance eligibility, • Travel: Willing to travel up to 50%. Physical Demands, • Ability to certify as “fit for work” by demonstrating ability to swim and tread water, • Frequently and repetitively, lift, push and carry up to 75 lbs., • Will be exposed to marine environments, including sun, wind, rain, cold, and saltwater spray, often for extended periods, • Must be able to operate in daylight, low-light, and night conditions using marine navigation systems and visual cues, • Ability to perform physically demanding work for extended periods of time, up to 12 hours/day, • The ability to carry 20 lbs. up and down stairs Benefits, • Medical Insurance: Comprehensive health insurance plans covering a range of services, • Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care, • Saronic pays 100% of the premium for employees and 80% for dependents, • Time Off: Generous PTO and Holidays, • Parental Leave: Paid maternity and paternity leave to support new parents, • Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses, • Retirement Plan: 401(k) plan, • Stock Options: Equity options to give employees a stake in the company’s success, • Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage

Job Description AI/ML Perception Engineer – Build Autonomous Intelligence for Next-Gen Defense Robotics! Austin, TX | Onsite Opportunity Summary A rapidly scaling, venture-backed startup is forging the next generation of autonomous defense robotics designed to react in milliseconds to dynamic, high-threat scenarios. As a Principal AI/ML Perception Engineer, you will take the helm of the perception and autonomy stack, shaping the intelligence that powers a fully autonomous robotic system built for real-world deployment. In this early engineering role, you’ll architect and implement the full perception pipeline, from sensor fusion and model development to field validation and optimization on embedded platforms. This is a rare zero-to-one opportunity where your work becomes the foundation of the product’s decision-making capabilities. You'll see your models running in rugged outdoor environments, influence the platform’s long-term technical direction, and help define what modern autonomous defense systems are capable of. About Us We’re an emerging technology company focused on building compact robotic systems that can perceive, think, and act autonomously under extreme conditions. Our team blends deep experience in autonomy, machine learning, sensing, and hardware development. We thrive at the intersection of software and real-world constraints, solving complex perception challenges across diverse and noisy environments. Our mission moves fast, demands creativity, and requires engineering excellence at every layer of the stack. Job Duties • Build and refine perception pipelines leveraging multi-sensor inputs including camera, IMU, and audio sources, • Deploy computer vision and ML models tailored for low-latency, compute-limited embedded environments, • Develop and implement audio-enhanced detection and localization methods using microphone arrays or acoustic sensors, • Lead the data lifecycle, including collection, annotation, training, validation, and field testing, • Architect robust real-time sensor fusion frameworks for state estimation and situational awareness, • Integrate and bring up sensors (cameras, IMUs, microphones) while writing and optimizing low-level drivers, • Prototype, evaluate, and iterate rapidly through live field trials in outdoor operational settings, • Partner closely with controls, embedded, and hardware engineers to ensure system-wide coherence, • Build tooling for visualization, logging, replay, and real-time debugging, • Contribute to perception strategy and influence the ongoing roadmap for autonomy and intelligence Qualifications • 3+ years of professional experience developing ML/CV-based perception systems for robotics, autonomy, or embedded products, • Demonstrated success deploying vision or ML models into constrained, real-time environments, • Strong proficiency in Python and C++ for research and embedded development, • Applied experience with object detection, classification, tracking, and related CV workflows, • Hands-on background with sensor fusion techniques (EKF/UKF or similar) using camera + IMU data, • Exposure to acoustic or audio-driven sensing methods, • Familiarity with embedded inference platforms such as NVIDIA Jetson, Coral, or comparable systems, • Ability to bring up hardware, debug drivers, and tune systems directly on embedded devices Preferred Experience • Experience working on unmanned systems, robotics autonomy, counter-UAS, or advanced defense hardware, • Understanding of model compression techniques (quantization, pruning, TensorRT optimization), • Knowledge of acoustic localization, filtering, and triangulation methods, • Prior contributions within early-stage or fast-iteration engineering teams, • Background with real-time, safety-critical, or mission-driven embedded systems Why Join Us • Opportunity to serve as a key technical leader and founding contributor, • Build real autonomous systems that move from concepts to field demonstrations quickly, • High-trust engineering environment with fast decision cycles, • Meaningful influence on technical direction, product strategy, and culture, • Work on technology that directly contributes to protecting people and infrastructure, • Competitive equity offering, • Strong PTO and flexible working environment, • Relocation support for candidates moving to Austin, • Long-term growth and leadership opportunities as the company expands Compensation Details $120,000 - $210,000 #LI-AV

Job DescriptionStanley Consultants is an award-winning and industry-leading global consulting engineering firm, with an unmatched commitment to culture, values, and ethics. We are dedicated to client experience and solve the most complex challenges to create a sustainable, connected, and enriched world for all. As the world changes, Stanley strategically evolves with it, integrating the latest technology, innovation, and resiliency practices. With over a century of experience serving the energy, federal government, transportation, and water sectors, we have helped improve lives and shape the infrastructure systems that connect us. As an employee-owned organization with a People First approach, we stand apart from other engineering consulting and services firms. At Stanley, your voice counts, your growth matters, and your success is our success. Stanley Consultants offers flexible work options, competitive pay and great benefits, a strong sense of community, and the chance to build a meaningful, long-term career! Job Title - Senior Water/Wastewater EngineerLocation - Austin, TX \u007C Baton Rouge, LA \u007C Cedar Rapids, IA \u007C Chicago, IL \u007C Denver, CO (Centennial) \u007C Des Moines, IA \u007C Minneapolis, MN \u007C Muscatine, IA \u007C Phoenix, AZ \u007C West Palm Beach, FLJob Type – HybridRequisition ID - 11116 Stanley Consultants is seeking a Senior Water/Wastewater Engineer to lead and deliver water, wastewater, and groundwater projects in any of our Water offices. This individual will be responsible for the planning, design, construction, and project management of water resources and municipal utility infrastructure, including drinking water sources, distribution systems, storage facilities, wastewater systems, and water treatment projects from technical development through construction services.The Senior Water/Wastewater Engineer will have expertise in one or more of the following: • Water distribution, transmission, and storage, • Water/Wastewater treatment, • Wastewater conveyance and peak weather flow infrastructure, • Wastewater treatment, • Water Reuse, • Pump Stations, • Hydraulic modeling, • Asset management, • Risk and resiliency consulting and design, • Smart water system planning, design, and implementationWhat You Will Be Doing:, • Leading team delivery of drinking water projects including evaluation and detailed design of intake structures, surface and ground water treatment plants, water reuse systems, storage, pumping, and transmission and distribution projects., • Preparing master planning reports and documentation required for grants and loans., • Self-motivated subject matter expert; demonstrated through participating in local professional organizations, preparing, and presenting market specific papers and presentations., • Ability to articulate and operate within the One Water paradigm., • Integration of smart water systems, process automation, and machine learning into overall water production and distribution design., • Use AutoCAD, Civil 3D, MicroStation and other applicable engineering design tools., • Work in collaboration with other disciplines (civil, mechanical, electrical, I&C, structural, and CAD) in producing plans and specifications., • Assisting in marketing business opportunities with key clients and development of responses to RFP/RFQs., • Providing marketing, technical leadership, and support during the procurement and execution of projects., • Developing and maintaining long-term relationships with clients., • Assisting clients with permitting, property acquisition, and stakeholder involvement., • Successfully collaborate with multi-disciplinary design teams., • Consistently managing and delivering projects on time and within budget., • Desire and ability to manage and mentor staff.Required Qualifications:, • Bachelor of Science (BS) degree in either Civil Engineering, Mechanical Engineering, Chemical Engineering, or Environmental Engineering., • At least 10 years of relevant experience., • Professional Engineer (PE) license; Illinois PE preferred or must be able to obtain within 6 months of hire date., • Illinois, Indiana, Michigan, and/or Wisconsin network of water/wastewater connections., • Regional expertise in one or more areas of water supply, treatment, storage, and/or distribution technical expertise., • Active participation in professional organizations., • Strong verbal, computer, and organizational skills., • Excellent technical writing skills., • Strong client relationship skills., • Excellent design team leadership skills.Preferred Qualifications: We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients recruitment operations. We partner directly with: AI-first startups building products powered by LLMs, generative AI, intelligent automations, Established tech companies: scaling their ML infrastructure, recommendation systems, and data platforms, and Enterprise innovation teams integrating AI into traditional domains such as finance, healthcare, and logistics. We collaborate directly with founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Our Client Is a San Francisco based startup building a GenAI-native platform that automates one of the most complex, time-consuming challenges in finance and Tax and turning dense tax documents into structured, usable data in minutes. Their system processes everything from K-1s and K-3s to intricate footnotes with near-human precision, achieving over 99% accuracy on income lines and streamlining workflows across Excel and API integrations. They serve some of the most sophisticated players in private wealth, and asset management, helping them move faster and make better decisions in an industry where accuracy and speed define competitiveness. Backed by seasoned founders and AI leaders from top-tier tech companies like facebook and salesforce, this team combines product craftsmanship with cutting-edge machine learning to bring intelligence to a domain that has long resisted automation. Recently acquired by a global technology leader, the company now operates with the mindset, pace, and creative autonomy of a startup but with the stability, benefits, and resources of an established enterprise. Youll be joining a team of proven builders whove scaled products to acquisition, engineered systems that power billions of data points, and are now applying GenAI to redefine how financial data is understood, structured, and acted upon. Location: Union Square, San Francisco Work type: Full Time, 5 days a week On-Site. Compensation: above market base + bonus + equity Visa: sponsorship available for candidates with demonstrated brilliance and expertise. What we are looking for Were seeking an Applied AI / ML Engineer with 5+ years of experience building and scaling commercial machine learning systems in meaningful ownership roles, especially with document understanding and extraction. You are an exceptional builder who thrives at the intersection of real world features and AI/ML engineering, someone who not only understands how models work, but also how to use them to deliver real, measurable value to end users. This role is central as they scale their GenAI-native platform for tax document processing, combining the velocity of a startup with the backing of resources and reach of a large multi national firm. Roles & Responsibilities * Build and scale the ML and product infrastructure that powers intelligent tax document processing at production scale. * Design and optimize inference systems, dataset pipelines, and specific logic to improve accuracy, speed, and quality as we expand to millions of documents. * Collaborate closely with accountants and tax domain experts to deeply understand workflows, pain points, and quality thresholds translating insights into productized ML systems. * Integrate inference pipelines into a seamless, end-to-end experience that transforms how tax professionals process and interpret documents. * Develop expert systems that encode institutional tax knowledge into scalable, maintainable software components. * Drive experiments, measure outcomes, and iterate rapidly on core ML metrics. * Collaborate cross-functionally with product, engineering, and leadership to shape technical direction and influence product vision. Qualifications Core Experience * 4+ years of experience in machine learning / AI engineering with proven end-to-end ownership of ML-powered products. * Strong track record of building systems that create direct user value, not just research prototypes or internal tooling. * Demonstrated ability to work with large, complex datasets, optimizing for accuracy, scalability, and reliability. Strong fundamental understanding of how to build, measure, and iterate on ML systems and ML-powered enterprise or consumer products. * Comfortable with Python and popular ML libraries (e.g. pandas, scikit-learn, spaCy, pytorch, tensorflow, keras), cloud providers such as GCP/AWS, container technologies (e.g. Docker, Kubernetes), web application development including Python-based web servers (e.g. Flask, Django), and database and storage layers (e.g. Postgres, SQL, S3/GCS). * Experience deploying or integrating LLMs, LLM APIs, Agents and prompt engineering into production systems. * Strong Python proficiency and hands-on familiarity with ML infrastructure and data workflows. * Experience in document understanding, OCR, or applied NLP. * Exposure to financial or tax-related data environments. * Startup or 01 product experience. Soft Skills * Exceptional problem-solving ability, curiosity, and product intuition. * Strong communication skills with the ability to engage directly with domain experts and translate complex needs into technical solutions. * Growth trajectory demonstrated through promotions or increasing scope of responsibility. Other roles in Applied AI / ML in the US, check them out here: * Applied AI / ML engineer focusing on LLMs, and Knowledge Graphs: [

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