Computer Systems Validation Analyst Jobs

About the Team The Core Network Engineering team owns the end-to-end networking stack that connects OpenAI’s compute infrastructure — spanning global WAN/edge connectivity, data-center networking, and high-performance host/xPU networking used for large-scale training and inference workloads. This team is responsible for ensuring networking is never the bottleneck to model training efficiency, cluster reliability, or fleet expansion. They design and operate the systems that provide predictable, high-throughput, low-latency connectivity across some of the world’s most advanced AI infrastructure. About the Role We’re looking for engineers to help build and operate the networking foundation behind OpenAI’s frontier AI systems. Depending on your background and area of focus, you may work across host networking, datacenter fabrics, or global WAN infrastructure. The problems span low-level systems software, distributed infrastructure, protocol readiness, observability, performance engineering, automation, and large-scale network operations. You’ll work on systems where microseconds of latency, tail performance, and network reliability directly impact model training efficiency and production serving performance. This role is ideal for engineers who enjoy operating close to the hardware/software boundary and solving performance-critical infrastructure problems at massive scale. In this role, you will: Design, build, and operate networking systems that support large-scale AI training and inference infrastructure Improve performance, reliability, and scalability across host networking, datacenter fabrics, and WAN systems Develop automation for provisioning, configuration management, validation, upgrades, and lifecycle management of networking infrastructure Build tooling and observability systems for network health, performance analysis, debugging, and automated remediation Optimize network performance across technologies such as RDMA, RoCE, InfiniBand, Ethernet, and high-perf

Job Details: Job Description: We are seeking an experienced Analog Design and Infrastructure DA Manager to lead the development, deployment, and governance of analog/mixed-signal design environments and CAD infrastructure. This role owns EDA tool ecosystems, PDK integration, compute infrastructure, design data governance, and tapeout manifest management to ensure high productivity, reproducibility, and audit readiness across silicon programs..The ideal candidate combines deep analog/mixed-signal design flow and e-test structure development expertise with strong infrastructure leadership and disciplined configuration/data management practices. Key Responsibilities-1. Analog Design Environment and Flow Management-Own and maintain analog and mixed-signal design flows using platforms such as Virtuoso ,Develop and maintain schematic, layout, verification, and extraction flows (LVS, DRC).Support simulation environments including HSPICE, Corner analysis.Drive automation and methodology improvements to reduce turnaround time and increase design robustness. 2. Infrastructure and Compute Management Oversee Linux-based DA infrastructure including compute farms, storage systems, and license servers (FlexLM). Manage LSF/grid environments and job scheduling systems. Ensure scalability, system monitoring, high availability, and performance optimization. Partner with IT on hardware lifecycle planning, cloud integration, and disaster recovery. Maintain secure, access-controlled design environments aligned with IP protection policies. 3. Design Data, Manifest and Configuration Management Design Data Governance Manage large-scale analog design libraries, hierarchical database structures, and technology libraries. Define backup, archival, and retention policies for tapeout-critical data. Implement data integrity validation and corruption prevention controls. Oversee distributed stor

1891 Signal Integrity Measurement Engineer Location: Austin About the Role Validate signal integrity (SI) and power integrity (PI) for advanced compute platforms, focusing on hands-on measurement, electrical compliance, troubleshooting, and simulation correlation. Key Responsibilities Develop measurement plans and design of experiments (DOE) for board-to-board, cable, backplane, blade-, and rack-level interconnects. Measure scattering parameters (S-parameters), insertion loss, return loss, impedance, crosstalk, eye diagrams, jitter, timing margins, and bit error rates. Design printed circuit board (PCB) test fixtures; perform calibration, de-embedding, and electrical compliance testing against interface specifications and customer requirements. Correlate measurements with simulations and troubleshoot issues with silicon, package, board, and system teams, interconnect vendors, and original design manufacturers (ODMs). Prepare validation and compliance reports covering methods, pass/fail results, performance margins, findings, and recommendations. Required Qualifications Hands-on expertise with vector network analyzers (VNAs), including performance network analyzers (PNAs); time-domain reflectometers (TDRs); bit error rate testers (BERTs); and high-speed oscilloscopes. Strong SI/PI fundamentals and experience with fixture characterization, repeatable measurements, DOE, and electrical compliance testing. Strong written and verbal communication skills for technical reporting and cross-functional collaboration. Bachelor's or master's degree in Electrical Engineering, Computer Engineering, or a related field. Preferred Qualifications Data center or hyperscale hardware experience; Python or MATLAB for measurement automation and analysis; familiarity with simulation tools and thermal or mechanical effects on SI/PI. Tools / Technologies Peripheral Component Interconnect Express (PCIe) generations 4/5/6, Ethernet, Double Data Rate (DDR) memory, serializer/deseria

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. We make sure Micron DRAM performs where it matters most: inside next-generation servers, client systems, and emerging compute platforms. Our team works at the intersection of memory technology, silicon behavior, platform architecture, firmware interaction, and system-level validation. We partner across engineering fields to bring new memory products from initial platform bring-up through qualification and readiness, helping develop the future of computing. In this role, you will validate Micron DRAM products on cutting-edge compute platforms and play a key role in ensuring system readiness before customer deployment. You will lead complex debug efforts, collaborate with internal teams and external platform partners, and use data-driven analysis to solve challenging technical issues. This hands-on position is ideal for an engineer who enjoys working in the lab, uncovering root causes, and driving issues through resolution. Responsibilities : Lead platform bring-up and system debug across server, client, and emerging compute platforms, including BIOS, firmware, memory training, and system stability Develop and implement memory validation plans to assess performance, compatibility, reliability, and platform readiness Drive failure analysis and root cause investigations, documenting findings, corrective actions, and readiness risks Partner with engineering, product, quality, and program teams to resolve technical issues and support pr

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. Join Micron’s SSD Controller Engineering team, where we develop advanced memory and storage technologies that power cloud, AI, and enterprise computing. We work across global teams to deliver innovative, high-quality storage solutions that help transform information into intelligence and enrich life for all. As a Principal PCIe ASIC Application Engineer, you will lead validation efforts for next-generation SSD controller ASICs from development through production. This is a highly visible technical leadership role where you will drive validation strategy, solve complex system challenges, and collaborate with architecture, firmware, design verification, and product engineering teams to ensure successful product delivery. Responsibilities: Lead ASIC validation activities from pre-silicon FPGA development through product qualification and production release Develop and implement validation plans covering functional, performance, power, reliability, and system-level testing Perform post-silicon bring-up, debug, and root-cause analysis across PCIe, NVMe, DDR, NAND/ONFI, and firmware subsystems Build automation frameworks, validation tools, and test infrastructure to improve efficiency and coverage Provide technical leadership, mentor engineers, and drive teamwork across global multi-functional teams Minimum Qualifications: Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field 10+ years o

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 are seeking an experienced SoC Architect to lead the definition and development of next-generation custom AI silicon for edge deployments. This role will be responsible for shaping the architecture of highly efficient, high-performance SoCs optimized for machine learning inference and on-device intelligence. You will work cross-functionally with internal engineering teams and external ecosystem partners to translate product requirements into scalable silicon solutions, driving execution from concept through delivery. In this role you will: Define the architecture and technical roadmap for custom SoCs targeted for edge applications. Drive system-level tradeoff analysis across compute, memory, interconnect, power, thermal, and cost constraints. Architect energy-efficient ML compute subsystems optimized for inference workloads and real-world deployment environments. Collaborate with internal hardware, software, systems, and product teams to align architecture with platform needs. Partner with external silicon vendors, IP providers, and manufacturing partners to execute development plans. Lead hardware/software co-design efforts to maximize performance per watt and end-to-end system efficiency. Guide implementation teams through microarchitecture, RTL development, validation, and bring-up phases. Operate effectively in agile development environments and help teams deliver against aggressive schedules and milestones. You might thrive in this role if: Proven exper

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . This is a 12-week internship during summer 2027. As an Internal Audit Analytics Intern, you'll join the Internal Audit Data Analytics Team and support data-driven testing of controls across Coinbase's global technology infrastructure and crypto-native products. You'll extract, analyze, and validate datasets from Coinbase's internal data systems to assess control design and operational effectiveness, translating audit data requests into SQL-based extracts and actionable findings that support the audit team's control testing objectives. What you'll do: Write SQL queries against Snowflake and other internal data platforms to assess the design and operational effectiveness of key internal controls Building continuous auditing processes and AI tooling for use throughout Internal Audit Test system and model changes by validating compliance and performance impact, and document results for relevant stakeholders Produce data extracts and reports from a variety of sources, translating audit data requests into clear, actionable requirements and outputs Validate data ETL processes from upstream production systems into the data repository and from the repository into enterprise tools, checking for completeness and accuracy at each stage Required Skills and Experience: Currently pursuing a degree in Data Science, Computer Science, Statistics, or a related field Demonstrated SQL pr

NVIDIA has advanced computer graphics, PC gaming, and accelerated computing for more than 25 years. We are developing the next era of computing through AI, supported by dedicated people and a diverse, collaborative environment. We are seeking a SWQA Test Developer Engineer to join the Mobile QA Group and help deliver high-quality products built on NVIDIA Tegra systems on a chip (SoCs). You will be validating Nvidia Shield TV supporting AI-enhanced upscaling, 4K HDR, GeForce NOW cloud gaming, built in Google Assistant, which also supports Dolby Vision, Dolby Atmos, etc. You will work on AI platforms running Linux, Android, and proprietary operating systems, collaborating with engineers, workstream leads, and release managers. What you will be doing: Apply AI-powered tools and agents throughout the test development lifecycle to accelerate test generation, code development, test analysis, coverage improvement, log analysis, regression triage, root-cause analysis, and code reviews. Build and use an E2E AI Agentic Workflow with existing and custom agents and skills for every SDLC phase. This will expedite key objectives and important metrics of test and quality engineering. Develop AI framework for test strategies, plans, and detailed test cases from customer requirements; regularly implement tests for software features on Tegra-based platforms using AI-powered tools. Review product requirements, specifications, and technical designs, and provide feedback to improve testability and coverage. Develop applications, test tools, and automated tests using NVIDIA test frameworks for Tegra platforms. File clear bug reports, investigate failures, and work with engineers to triage issues and verify fixes. Collaborate with project management, hardware, and software teams; analyze priority bugs and share periodic quality metrics and reports with collaborators. Improve testing processes and

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. Focus on technology node development to advance next-generation DRAM technologies. Contribute to DRAM product design to enable effective transfer of node development innovations into production products. Collaborate with product engineering and process technology teams to validate designs and help guide technology direction. Perform circuit design and floor planning, including power delivery network (PDN) design. Conduct simulation, debugging, and root cause analysis of design and process issues. Identify failures and provide corrective feedback to block design owners. Deliver design insights and recommendations to Technology Development process teams. Validating device and schematic functionality using memory testing systems. Requirements: Employer will accept a Master’s degree in Electrical Engineering, Computer Engineering, or related field and 2 years of work experience in job offered or in a related occupation. Position requires: 1. CMOS Circuit Design; 2. Digital Logic; 3. Mixed Signal Design; 4. Sense Amplifier; 5. Clock or Data Path; 6. AOCV; 7. Power, IR Drop, or PDN; 8. DFT; 9. Spice or Spectre; 10. Verilog; 11. Parasitic Extraction or SPEF; 12. Floor planning or Routing; 13. Cadence Virtuoso; 14. Python; and 15. Data Analysis (JMP). As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and profes

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. Probe process Engineering team member in Micron's Global Probe process team will have responsibilities for supporting and maintaining Probe processes and software that are codeveloped with Micron’s Global Manufacturing sites or directly sent to the Manufacturing sites around the world. Managing, validating and coordinating releases of global processes and software ensuring that the resulting Manufacturing Quality meets or exceeds customers’ requirements. Day-to-day they will manage critical projects for optimal probe process. Developing software solutions & processes to promote greater quality, efficiency and standardization of automated semi-conductor Probe operations. Supporting and maintaining the Global Probe Data Crunching Process (i.e. post processing probe test data). Developing, coding, validating and coordinating timely software releases. Generating metric reports (Efficiency & Effectiveness) for Probe processes domain. Collaborating with global teams in the Probe network to establish and implement Best Known Method of Global Probe Processes. Conducting statistical data analysis of Probe data sets in support of process. Promote and drive Continuous Improvement. Following tools will be applied during the assignment Project Management system, Probe Test Data system, Probe product disposition system, Manufacturing Execution System and statistical data analysis/reporting systems. Position requires up to 20% of travel. Domestic and International. Employer will accept a Bachelor’s degree in Computer Engineering, Computer Science, Eng

Radiation Environmental Test Engineer (Mid-Level or Senior) Company: The Boeing Company Boeing Missile & Weapons Systems is seeking a Radiation Environmental Test Engineer (Mid-Level or Senior) to lead radiation and environmental test efforts supporting ICBM modernization at the Little Mountain Test Facility in Hill Air Force Base, UT. This hands-on role combines test design, execution, data analysis, and facility/test-stand maintenance. The position supports ongoing modernization efforts to enhance current test capabilities and new developing capabilities—identifying, designing, managing, and integration of new test stands, diagnostics, and data systems to meet evolving mission requirements. Position Responsibilities: Lead and execute complex radiation and environmental test machine design and facility integration Identify interface requirements, CDRLs, configuration control documentation, and change orders Design, specify, and integrate test hardware, sub-assemblies, fixtures, and instrumentation Assist in configuring, validating, and operating data acquisition systems and custom software (LabVIEW) for diagnostics and event capture Support pulse power and flash X-ray systems: theory, operation, diagnostics, and data capture Perform technical evaluation of subcontractors Basic Qualifications (Required Skills and Experience): Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement Level 3: 5+ years of related work experience and a bachelor’s degree or an equivalent combination of related work

Quality Engineer (Associate or Experienced) Company: The Boeing Company Boeing Defense, Space & Security (BDS) has an exciting opportunity for a Quality Engineer to join our dynamic team in Berkeley, MO. Position Responsibilities: Represents Quality function on team activities to integrate contractual and Boeing Quality Management System requirements into all aspects of proposals and program processes and documentation Provides Quality interpretation of requirements Develops quality metrics, design and production certification plans for small programs to ensure compliance with contractual, Company and regulatory requirements Conducts capability assessments and process validations to support supplier selection activities Participates in various reviews to ensure quality attributes are incorporated into product designs Performs analysis, tests and process audits to ensure manufacturing and test readiness Provides material review dispositions for non-conformances Conducts RCCA and CAPA activities Analyzes non-conformance trends to evaluate effectiveness of corrective actions Recommends corrective actions to address non-conformances Performs benchmarking and other forms of analysis to ensure specified processes capability levels are achieved Supports Advanced Product Quality Planning (APQP) activities Works under general direction Basic Qualifications (Required Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer scien

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role The Eval Platform team owns the simulation and evaluation and validation platform that underpins autonomy development and driverless readiness validation. This platform is mission‑critical for both rapid iteration during development and rigorous validation used to assess safety, performance, and deployment readiness. We are looking for a seasoned engineering leader to lead the Eval Platform as a Director‑level role. This leader will define the technical vision, execution strategy, and organizational structure for a multi‑disciplinary org spanning simulation, evaluation infrastructure, and compute and storage platform. The evaluation platform brings together data, simulation, metrics, and analysis workflows into a coherent system that allows the teams to: Iterate quickly to improve the autonomy performance Measure autonomy performance and risk with credibility and rigor Make confident, data‑driven decisions about driverless

About the Team OpenAI’s Infrastructure organization builds and evaluates the systems that power advanced AI workloads. We work closely with hardware, modeling, and architecture teams to ensure that new platforms deliver real-world performance aligned with workload needs. Our team focuses on understanding workload behavior across evolving hardware platforms—bridging the gap between theoretical capability and observed system performance. About the Role We are seeking a Workload Porting & Performance Engineer to evaluate new hardware platforms by porting benchmarks and real-world workloads, analyzing performance, and identifying system bottlenecks. In this role, you will bring up workloads on new systems, characterize performance behavior, and adapt workloads to better utilize hardware capabilities. You will play a critical role in validating new platforms and ensuring that performance aligns with expectations across compute, memory, and networking subsystems. This role requires strong hands-on experience with performance analysis, workload optimization, and system-level debugging across hardware and software boundaries. 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. Key Responsibilities Port and enable benchmarks and real-world workloads on new hardware platforms. Evaluate system performance across compute, memory, storage, and networking subsystems. Identify and analyze performance bottlenecks and inefficiencies. Adapt and optimize workloads to better utilize hardware capabilities. Develop and run performance experiments and profiling workflows. Compare expected vs. observed performance and provide feedback to: hardware architecture teams performance modeling teams system and software engineers. Debug issues across the stack, including software, runtime, and hardware interactions. Provide actionable insights to guide platform readiness and deployment decisions. Qualifications E

Your challenge As a solution consultant, you get the best of both worlds. You deep dive into one of our industry-specific solutions to improve our OMP software solution and enrich its functionality. You gather input about our customer’s needs and support the project team in implementing and delivering high-quality, fully tested, and well documented solutions. You are responsible for Collecting, formulating, and mapping the business and project requirements to the functionalities in the industry solution. Gathering and deriving new requirements for the industry solution. Continuously improving our industry solution by developing new functionalities. Validating new functionalities with the different stakeholders. Applying your industry solution knowledge to provide support during the implementation phase, from start to finish, together with the customer’s project team. Offering industry solution knowledge in customer project tracks, during and after implementation. About you Essential talents and qualifications: University degree in engineering, business engineering, computer science, or similar. Strong affinity with IT as programming skills are required, including macro coding similar to VBA. Great analytical skills and problem-solving abilities. Good communications skills and able to connect with different stakeholders. A passion for working in a multinational customer-driven environment. A friendly and open approach to working in a team. The flexibility to travel. Bonus points if you have: Experience with SQL. Knowledge of a versioning system. Soft skills · Communicative · Team-player · Collaborative in a global context · Pragmatic · Passionate Hard skills · Programming skills · &n