Test Program Development Engineer in United States

We anticipate the application window for this opening will close on - 30 Sep 2026 Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72&#43; million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life The Acute Care & Monitoring (ACM) business develops technologies that help clinicians monitor, assess, and manage patients across the continuum of care. Within ACM, the Test Engineering function supports product development, verification, reliability, and manufacturing readiness through the design and execution of test methods, fixtures, and equipment used to evaluate product performance and system functionality. This team partners closely with systems, mechanical, electrical, software, quality, and manufacturing engineering teams to support the development and sustainment of medical technologies. This position is based in Lafayette, Colorado and is an onsite role. Travel up to 10% may be required to support testing activities, cross-functional collaboration, and business needs. As a Mechanical R&D Engineer II, you will support system-level, reliability, mechanical, and electrical testing activities for Acute Care & Monitoring products. This role combines hands-on laboratory testing, fixture development, data analysis, and cross-functional collaboration to evaluate product performance, investigate issues, and support verification activities throughout the product lifecycle. Primary Responsibilities <li

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We’re looking for a product manufacturing & quality engineer, who will be responsible for driving technical initiatives related to the manufacturing, quality and reliability of our AI supercomputer hardware systems to ensure product success from concept to launch and through mass production. You’ll have the opportunity to coordinate with functional SMEs and work with a wide range of stakeholders, from design engineering and operations teams, TPMs, external industry vendors and partners to ensure that all products are developed and delivered on time and to the highest quality standards. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this role, you will: Own the integrated manufacturing and quality readiness for a product across L6, L10, and L11, with clear gates, milestones, deliverables, owners, and closure criteria. Lead readiness of process flows, tooling, fixtures, assembly operations, test interfaces, and production controls. Review and contribute to work instructions. Translate product requirements into qualification plans, process controls, test requirements and acceptance criteria with design engineering and Area SMEs Coordinate and drive execution of product and process qualification, reliability testing, and validation with the relevant SMEs. Maintain traceable evidence that assigned products and processes meet agreed performance, reliability,

The Language Tools team enables ~1,500 Datadog developers to build, test, and package millions of lines of Go, Python, Java, Rust, and TypeScript in our backend monorepo. Our success is measured by their productivity and satisfaction. They use the tools that we develop and support several times a day, in both development and CI environments. We use the Bazel open source build system as a foundation. The team is growing rapidly, both with Datadog and as we absorb other repositories into the monorepo. As a senior software engineer on the team, you will own projects from start to finish, both greenfield and brownfield. You will gain first-hand understanding of what Datadog developers need, and inform our roadmap. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Invent build, test and packaging tools that are simpler and more reliable to use. Push performance and cost efficiency at scale, raising cache hit rates and cutting CI times and compute spend across millions of targets. Treat CI like SREs treat prod, making sure our pipelines are green and fast. Prepare, run, and finish complex migrations. Contribute back to the Bazel ecosystem, upstreaming fixes and shaping features we depend on. Who You Are: An expert in Bazel and/or one of the languages listed above. A well-rounded engineer. You must broadly understand the various types of software projects that are built, tested, and packaged with our tools. Both careful and fearless. The changes we make impact the velocity of hundreds of engineers. They are risky but necessary. User-focused. We help Datadog engineers to use the tools that we develop, and continuously improve their usability, so they don’t need our help the next time. Ideally, you have ex

The DFP Engineer – Manufacturing role defines and implements the validation and screening of new silicon features within high‑volume manufacturing flows. You will translate product requirements into executable test methodologies, infrastructure, and detailed manufacturing test plans that ensure quality, yield, and efficiency at scale. This role sits at the intersection of multiple multi-functional teams to make manufacturing test an outstanding part of the overall codesign and DFP lifecycle. What you will be doing: Own end-to-end manufacturing test methodology across all test stages. Translate system specs and product POR into DFP requirements, test content, coverage, and flows. Define and maintain the DFP roadmap, including infrastructure and turning point planning. Partner multi-functionally to implement test content, debug hooks, and coverage improvements. Drive alignment on manufacturability, test time, binning strategies, and cost vs. coverage trade-offs. Embed testability requirements into design to enable robust screening and debug. Define data and analytics frameworks to support yield analysis and continuous improvement. Lead DFP documentation as the single source of truth and feed findings into future methodologies. What we need to see: MS in Electrical Engineering, Computer Engineering, or related field (or equivalent experience) 6&#43; years in silicon post‑silicon validation and/or high‑volume manufacturing test for complex SoCs, GPUs, CPUs, or similar. Hands‑on experience with test content bring‑up, limit setting, correlation to characterization, and yield/coverage optimization. Proficiency with scripting and data analysis (e.g., Python, MATLAB, R, SQL) for test data analytics, limit tuning, and yield/debug analysis. <

Work Flexibility: Onsite 1st Shift: Monday - Friday 8am-5pm What You Will Do: Own the operation, maintenance, and audit readiness of assigned laboratory areas, ensuring compliance with operational standards and safe laboratory practices. Serve as the primary asset owner for assigned lab equipment, overseeing maintenance, repairs, calibration, and contributing to equipment acquisition and retirement decision Provide day-to-day guidance, mentoring, and technical training to junior technicians, modeling best practices and safety-first behaviors. Lead the fabrication, qualification, verification, and validation (V&V) of complex test fixtures, providing expertise on components and construction processes. Independently execute development and verification testing with limited oversight, applying sound technical judgment to resolve test issues or deviations. Ensure accurate, compliant documentation by consistently following Good Documentation Practices (GDP) and clearly communicating test results. Manage laboratory logistics, including inventory control and proactive supply purchasing, balancing engineering needs, business priorities, and budget constraints. Continuously identify and implement opportunities to improve lab efficiency, expand testing capabilities, and enhance overall service offerings. What You Need: <span style="col

Mechanical and Thermal Laboratory Technician Position Summary Graphcore is a globally recognized leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data center hardware that provide the specialized processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing. Responsibilities The Mechanical and Thermal Laboratory Technician is a hands-on technical role supporting the development and validation of advanced AI hardware systems for data center environments. Working as part of a cross-functional engineering team, this individual will be responsible for executing mechanical and thermal laboratory testing, supporting product validation activities, prototype fabrication and assisting with troubleshooting and root-cause analysis of complex hardware systems. Requirements Associate degree in Mechanical Engineering Technology or a related technical field preferred. Equivalent combinations of education, training, and relevant experience will be considered, including experienced non-degreed candidates or candidates with degrees in unrelated disciplines. Minimum of 5 years of experience working in mechanical laboratories, machine shops, test labs, or similar technical environments. Experience with server hardware platforms and data center equipment. Knowledge of Direct Liquid Cooling (DLC) systems and their implementation in server environments. Experience operating forklifts, pallet jacks, and other material-handling equipment. Key Responsibilities Execute mechanical and thermal test plans to validate hardware designs a

About the Team OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About the Role We're looking for an Optical Interconnect System Engineer to design, qualify, and deploy scalable optical connectivity for large-scale AI infrastructure. This role spans fiber-system architecture, optical-mechanical integration, validation, reliability, deployment, and serviceability. You will work with optical, mechanical, electrical, networking, manufacturing, reliability, and data-center teams to translate system needs into practical interconnect solutions. This is a hands-on role for someone who can connect design decisions with installation, qualification, troubleshooting, and long-term operational performance. In this role, you will: Define optical interconnect architectures and requirements across hardware platforms and rack-level systems. Design high-density fiber systems for performance, density, reliability, installation, and serviceability. Lead optical-mechanical integration and cross-functional design reviews. Develop test and qualification plans for optical components, modules, switching platforms, and integrated systems. Own optical loss budgets, routing guidelines, handling requirements, and serviceability criteria. Support system bring-up, deployment, troubleshooting, failure analysis, and reliability improvement. Create reusable design guidelines, interface requirements, and qualification methods. You might thrive in this role if you have: Core experience Experience desi

About the Role The Mechanical Commissioning Project Engineer owns mechanical commissioning planning, readiness, quality coordination, and test execution oversight for the project. This role ensures mechanical systems are installed, inspected, started, balanced, controlled, and tested in a way that supports reliable integrated facility performance. Reports to the Commissioning Project Lead and partners closely with mechanical contractors, equipment vendors, design/engineering teams, the electrical commissioning lead, controls stakeholders, and vendor field/test engineers. Key Responsibilities Develop and maintain the mechanical commissioning scope, readiness criteria, inspection strategy, and discipline test execution plan. Review mechanical design packages, specifications, submittals, method statements, controls narratives, sequence assumptions, and testing requirements for commissionability and risk. Coordinate mechanical QA/QC inspections with contractors and vendor field/test engineers, including installation checks, pre-functional readiness, deficiency capture, and closeout tracking. Own mechanical commissioning procedure development and review, including equipment startup, functional testing, controls verification, balancing prerequisites, failure mode validation, and integrated systems testing inputs. Coordinate with equipment vendors on factory/site acceptance requirements, startup support, test prerequisites, documentation packages, and vendor participation during critical tests. Support readiness and execution for cooling, ventilation, hydronic, pumping, heat rejection, controls, and other project-specific mechanical systems. Lead discipline-level review of mechanical test results, deficiencies, corrective actions, retest requirements, trend logs, and acceptance evidence. Maintain mechanical commissioning dashboards and status inputs for the Commissioning Project Lead, including risk items, resource needs, test readiness, and issue aging. Partner with the E

About the Role The Electrical Commissioning Lead owns electrical commissioning planning, readiness, quality coordination, and test execution oversight for the project. This role ensures electrical systems are inspectable, testable, safe to energize, and ready for coordinated functional and integrated systems testing. Reports to the Commissioning Project Lead and partners closely with electrical contractors, equipment vendors, design/engineering teams, the mechanical commissioning lead, controls stakeholders, and vendor field/test engineers. Key Responsibilities Develop and maintain the electrical commissioning scope, readiness criteria, inspection strategy, and test execution plan. Review electrical design packages, specifications, submittals, method statements, sequence assumptions, and testing requirements for commissionability and risk. Coordinate electrical QA/QC inspections with contractors and vendor field/test engineers, including installation checks, pre-functional readiness, deficiency capture, and closeout tracking. Own electrical commissioning procedure development and review, including startup, energization readiness, functional testing, failure mode validation, controls interfaces, and integrated systems testing inputs. Coordinate with equipment vendors on factory/site acceptance requirements, startup support, test prerequisites, documentation packages, and vendor participation during critical tests. Support energization planning, switching and safety coordination, access sequencing, temporary conditions, witness points, and hold points. Lead discipline-level review of electrical test results, deficiencies, corrective actions, retest requirements, and acceptance evidence. Maintain electrical commissioning dashboards and status inputs for the Commissioning Project Lead, including risk items, resource needs, test readiness, and issue aging. Partner with the Mechanical Commissioning Lead on cross-discipline dependencies, including controls, life safety int

About the Team Codex is OpenAI’s first-party developer product focused on agentic software engineering. We’re building tools that help engineers design, write, test, and ship code faster—safely and at scale. We partner tightly with research and product to translate model advances into tangible developer productivity. About the Role As a Data Scientist on Codex, you will measure and accelerate product-market fit for AI developer tools. You’ll define what “developer productivity” means for our product, run experiments on new coding models and UX, and pinpoint where the model helps or hurts across languages and tasks. Your insights will directly shape how an entire industry builds software. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will Embed with the Codex product team to discover opportunities that improve developer outcomes and growth Design and interpret A/B tests and staged rollouts of new coding models and product features Define and operationalize metrics such as suggestion acceptance, edit distance, compile/test pass rates, task completion, latency, and session productivity Build dashboards and analyses that help the team self-serve answers to product questions (by language, framework, repo size, task type) Diagnose failure modes and partner with Research on targeted improvements (model quality signals, user feedback, evals) You might thrive in this role if you have 5+ years in a quantitative role at a developer-facing or high-growth product Fluency in SQL and Python; comfort with experiment design and causal inference Experience defining product metrics tied to user value Ability to communicate clearly with PM, Eng, and Design—and to influence product direction You could be an especially great fit if you have Strong programming background; ability to prototype, run simulations, and reason about code quality Familiarity with IDE/extensi

About the Role The Engineering Acceleration team builds and operates the foundational systems that engineers use to build, test, and ship ChatGPT, the API, and OpenAI's infrastructure. We are looking for an engineer to help evolve OpenAI's build and continuous integration systems for a fast-growing engineering organization. This role sits at the intersection of developer productivity, build systems, distributed infrastructure, and software quality. You will work on the systems that determine how quickly and confidently engineers can move: Bazel-based builds, Buildkite pipelines, test selection, remote caching and execution, CI observability, and tooling that helps engineers understand and fix failures quickly. Our mission is to make OpenAI one of the most productive engineering organizations in the world while preserving a high bar for correctness, reliability, and safety. The best version of this work is invisible when it succeeds: builds are fast, tests are trusted, CI failures are understandable, and engineers can focus on shipping useful systems instead of fighting infrastructure. In This Role, You Will Own and evolve Bazel-based build and test workflows across a large, polyglot monorepo. Design and maintain Starlark rules, macros, toolchains, and integrations that make builds reproducible, hermetic, and easy for product teams to adopt. Improve CI performance and reliability across Buildkite pipelines, including queue time, build time, cache hit rates, test sharding, retry behavior, and flake isolation. Build systems that reduce unnecessary CI work through affected-target detection, dependency graph analysis, test selection, caching, batching, and smarter scheduling. Improve local development workflows so engineers can reproduce CI behavior, debug build failures, and iterate quickly without learning every detail of the build stack. Operate and optimize build infrastructure across Docker/OCI images, Kubernetes-based runners, cloud resources, and remote cache/exec

Work Flexibility: Onsite Schedule - Friday–Saturday: 5:00 a.m. – 7:00 p.m. Sunday: 5:00 a.m. – 6:30 p.m. Important: Candidates must be able to attend Youniversity training on the weekday their first week. What you will do - As an Assembler I, you will assemble mechanical units, fabricated parts/components and/or electrical/electronic systems to make subassemblies, assemblies or complete units using hand tools, power tools, jigs, fixtures and miscellaneous equipment. Under general supervision, assembles components that may include sub-assemblies, manual components and electrical components and all other related components to contribute to completion of a variety of products. Work from process work instructions and test procedures to complete tasks along with monitoring and recording related documentation to meet quality requirements Follow production build rates, schedules and meet required cycle times Assemble cartons and containers and prepare products for shipment in accordance with domestic, international and/or customer specifications Uses a variety of tools that may include, but are not limited to: manual and power hand tools, pneumatic tools, test equipment, presses, and measuring and cutting devices Responsible for set-ups, work preparation, clean up, and quality assurance of own work and work-area Meet work schedule and overtime requirements, including weekends Medium work: Exerting up to 50 pounds of force occasionally and/ or up to 20 pounds of force constantly to move objects What you need: Preferred Qualifications: High School or GED Manufacturing Experience $20.25/hr. &#43; $2.00 Shift Premium

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is now building a world class OLTP service on Postgres. We’re hiring Senior Postgres Engineers to help build the new Snowflake Postgres service. This is an exciting opportunity to help build a large scale, multi-cloud Postgres offering with access to an existing customer base. AS A SENIOR POSTGRES ENGINEER YOU WILL: Develop orchestration layer/ control-plane of large scale databases Work with AWS, Azure, and GCP APIs Build High Availability and Disaster Recovery solutions Tune Postgres to operate at scale for some of the largest datasets in the world Secure and ensure customer data is protected Work alongside some of the brightest minds in the industry and help redefine the space by inventing at various layers of the software stack — from broad distributed systems to low-level optimizations that fundamentally change the performance characteristics of the system to cater to our customer needs. OUR IDEAL SENIOR POSTGRES ENGINEER WILL HAVE: 7+ years industry experience designing, building and developing large scale systems in production Experience building and maintaining distributed, highly available, fault tolerant services Excellent understanding of low level operating systems concepts including multi-threading, memory management, networking, storage, performance,

Job Details: Job Description: The Role and Impact As a SoC Design Verification Engineer, you will play a pivotal role in ensuring that Intel's complex System-on-Chip (SoC) designs meet functional specifications and deliver high-quality performance. You will design scalable and reusable verification plans, develop test environments, and execute tests to uncover issues and improve functionality. Your contributions will directly enhance Intel's product quality and ensure optimal performance in presilicon development. Business Group You will be joining Intel's cutting-edge product development group, a team focused on designing and verifying advanced semiconductor solutions. This group is at the forefront of innovation, delivering high-quality, scalable products that drive Intel's leadership in technology and performance. By contributing your skills here, you will help shape the future of computing and enable groundbreaking advancements in the industry. Key Responsibilities - Define and develop scalable and reusable block, subsystem, and SoC verification plans. - Create test benches and verification environments that align with microarchitecture specifications. - Execute verification plans, including emulation and system simulation models, to ensure design functionality and uncover bugs. - Debug and root cause issues in presilicon environments, implementing corrective measures to address failures. - Collaborate with architects, RTL developers, postsilicon teams, and physical design teams to improve verification of complex architectural features. - Document and maintain test plans, driving technical reviews with design and architecture teams. - Integrate security coverage activities within test plans, including regression and debug tests. - Maintain and improve

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Department Intro: We are advancing the future of semiconductor packaging through innovative 2.5D, 3D, and heterogeneous integration technologies. Our team develops the processes that enable next-generation AI and high-performance computing products, working across materials, device, design, manufacturing, and test engineering to solve complex technical challenges. If you're excited by emerging packaging architectures and breakthrough integration approaches, you'll find meaningful opportunities to make an impact here. Position Overview: As a Process Integration Lead for Advanced Packaging, you will lead a team focused on developing and integrating advanced packaging technologies from concept through full-scale manufacturing. This role plays a critical part in enabling high-performance multi-die solutions by driving technology development, process integration, technology transfer, and collaborative execution. You will help shape the roadmap for next-generation packaging platforms while mentoring a highly skilled technical team. Responsibilities: Manage and grow a team responsible for seamless process integration across 2.5D and 3D packaging platforms, including advanced interconnect architectures, die-stacking solutions, and HBM implementation. Spearhead the development, optimization, and qualification of emerging packaging technologies through experimental design (DOE), process analysis, performance validation, and establishment of design rules. Improve