System Performance Engineer in United States

Overview: The Data Acquisition team within the Foundations organization at OpenAI is responsible for all aspects of data collection to support our model training operations. Our team manages web crawling and GPTBot services and works closely with Data Processing, Architecture, and Scaling teams. We are looking for a skilled Full-Stack Engineer to join our Data Acquisition team to build and optimize the interfaces and tools that power our data infrastructure. Responsibilities: Develop and maintain full-stack applications that support data acquisition, including internal tools and dashboards. Collaborate closely with cross-functional teams, including Data Processing, Architecture, and Scaling, to ensure seamless data ingestion and workflow management. Design and implement APIs to facilitate data interactions between internal services and external data sources. Enhance user experience by developing intuitive web-based interfaces for managing and monitoring data pipelines. Optimize backend services for performance, scalability, and security in a distributed computing environment. Work with legal and compliance teams to ensure our data acquisition processes adhere to privacy regulations and best practices. Deploy and maintain infrastructure using Kubernetes and Infrastructure-as-Code (IaC) methodologies. Analyze system performance, conduct experiments, and improve data workflows to maximize efficiency. Qualifications: BS/MS/PhD in Computer Science or a related field. 4+ years of industry experience in full-stack development. Proficiency in frontend frameworks (React, Vue, or similar) and backend technologies such as Python, Node.js, or Go. Strong expertise in RESTful APIs, GraphQL, and database design (SQL and NoSQL). Experience building data-intensive applications that handle large-scale datasets. Familiarity with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker). Prior experience with web crawling and large-scale data processing is a

About Team Our Robotics team is focused on unlocking general-purpose robotics and advancing toward AGI-level intelligence in dynamic, real-world environments. Working across the full model and systems stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the physical constraints of real-world systems to improve people’s lives. About the Role We are looking for a Technical Program Manager to own actuator development and integration from system goals through production readiness. The actuator program spans mechanical, electrical, firmware, harnessing, controls, test, reliability, manufacturing, and supply chain, and needs a TPM who can turn cross-functional decisions into clear scope, executable milestones, and timely decisions. In this role, you will help the team converge on the right technical plan, surface risks early, and deliver reliable actuator systems on schedule. This role is based in San Francisco, CA and requires in-person presence 4 days a week. In this role you will: Drive actuator programs end-to-end, aligning scope, milestones, interfaces, dependencies, and exit criteria across engineering teams. Drive scope lock and technical convergence for sprints, MVPs, and stretch goals while connecting component decisions to system performance. Coordinate actuator development across motors, gears, sensing, electronics, and firmware, and align the electrical and mechanical interfaces that connect actuators to the broader robot. Lead validation planning from early prototypes through engineering validation, reliability testing, and production readiness. Drive tradeoff decisions across cost, quality, performance, schedule, and lead time by collaborating cross-functionally and quantifying impact to meet program deliverables. Establish effective mechanisms for technical reviews, change control, design releases, decision tracking, and manufacturing readiness.

About OpenAI OpenAI is dedicated to ensuring that artificial general intelligence (AGI) benefits all of humanity. Our mission requires building not only world-class AI models, but also the infrastructure that enables those models to be deployed reliably, efficiently, and at global scale. As demand for AI continues to grow, we are expanding the ways OpenAI can bring high-performance inference capacity online across a diverse hardware ecosystem. About the Team The GPT Infrastructure team builds software that turns advanced inference and optimization research into production products. One focus is enabling strategic infrastructure partners and accelerator vendors to qualify and onboard new compute without a bespoke porting and optimization effort for every hardware platform. We build the control planes, APIs, secure partner-side execution environments, evaluation systems, artifact pipelines, and operational tooling that make these workflows repeatable and trustworthy. The work sits at the intersection of distributed systems, AI inference, compilers and runtimes, performance engineering, security, and external partnerships. About the Role We are seeking an experienced systems generalist who can work comfortably across the stack to help build an automated inference optimization platform. Given a workload, target hardware profile, compiler and runtime context, and a trusted verifier, the system runs durable optimization campaigns that generate, compile, execute, grade, and improve candidate kernels, runtime configurations, and serving-stack changes. You will design both the OpenAI-hosted control plane and the partner-side software that evaluates candidates on real accelerator hardware. The product must keep long-running workflows reliable, make performance results reproducible, and maintain clear trust boundaries around sensitive model and hardware information. This is a deeply cross-stack role, combining strong software engineering fundamentals with systems thinking and

We're looking for a Product Analyst to support our Point of Sale (POS) product team. You'll work closely with the POS Product Owner to translate business and venue needs into clear requirements, support day-to-day POS issues, and help drive continuous improvement of the POS platform across all venues. This role is a strong fit for someone who has spent real time in the trenches with POS systems, whether building them, configuring them, or supporting the people who use them every day, and who wants to move deeper into product-facing work. What You'll Do Partner with the POS Product Owner to gather, document, and prioritize requirements for POS enhancements, integrations, and fixes Analyze POS support tickets and incident trends to identify recurring issues, root causes, and opportunities for product improvement Translate business and venue operations needs into clear user stories, acceptance criteria, and functional specifications Support testing and validation of new POS features and releases, including UAT coordination with venue stakeholders Serve as an escalation point for complex POS issues, working with engineering, support, and vendor teams to drive resolution Monitor POS system performance and data quality, flagging anomalies that could affect transactions, inventory, or reporting Maintain and update product documentation, release notes, and training materials for interna

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Field Service Technician provides on-site technical support to CVS Pharmacy locations, traveling between stores to maintain and repair computer systems, hardware, and store technology. This role supports point-of-sale (POS), pharmacy systems, networking equipment, and other in-store technologies. The technician diagnoses and resolves technical issues, performs preventative maintenance, and ensures minimal disruption to store operations. This position works closely with remote support teams such as network services, software engineering, and help desk personnel to restore service and identify root causes of issues. The Field Service Technician maintains accurate service records and ensures timely resolution of all assigned work while delivering excellent in-store customer support. What You Will Do Travel between assigned CVS Pharmacy locations to provide on-site technical support and maintenance. Deliver hands-on support for store systems, including POS systems, pharmacy systems, photo kiosks, and inventory management systems. Perform preventative maintenance, software updates, hardware upgrades, and equipment replacements to ensure optimal system performance with minimal supervision. Install and integrate new technology in stores, including setup and configuration of POS terminals, peripherals, and network connectivity. <

About the Team The Future of Computing Research team is an applied research team in the Consumer Devices group focused on developing new methods and models to support our vision as we advance forward in our mission of building AGI that benefits all of humanity. About the Role As a Technical Lead on the Future of Computing Research team, you will work together with both the best ML researchers in the world and the greatest design talent of our generation to push the frontier of model capabilities. This role is based in San Francisco, CA. We follow a hybrid model with 3 days a week in the office and offer relocation assistance to new employees. In this role, you will: Evaluate and select silicon platforms (GPUs, NPUs, and specialized accelerators) for on-device and edge deployment of OpenAI models. Work closely with research teams to co-design model architectures that meet real-world deployment constraints such as latency, memory, power, and bandwidth. Analyze and model system performance, identifying tradeoffs between model design, memory hierarchy, compute throughput, and hardware capabilities. Partner with hardware vendors and internal infrastructure teams to bring up new accelerators and ensure efficient execution of transformer workloads. Build and lead a team of engineers responsible for implementing the low-level inference stack, including kernel development and runtime systems. Run through the necessary walls to take nascent research capabilities and turn them into capabilities we can build on top of. You might thrive in this role if you: Have experience evaluating or deploying workloads on GPUs, NPUs, or other specialized accelerators. Understand the performance characteristics of transformer models, including attention, KV-cache behavior, and memory bandwidth requirements. Have designed or optimized high-performance compute systems, such as inference engines, distributed runtimes, or hardware-aware ML pipelines. Have experience building or leading teams work

NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We are looking to grow our company, and grow our teams with the smartest people in the world. What you’ll be doing: You will work with ground breaking technologies for the Tegra SoC and various NVIDIA embedded platforms Implement power and thermal management software features in Linux Kernel and user space Collaborate with power architects, hardware and software engineers on platform power estimation and optimization Optimize the software stack to improve performance, efficiency, and responsiveness for edge AI and robotics use cases. Focus on improving compute and memory utilization, reducing latency and power consumption, and tuning system-level performance to deliver reliable and scalable AI workloads across demanding real-world edge environments. What we need to see: MS in CS, CE, EE, Systems Engineering or related software/hardware engineering major, or equivalent experience 8&#43; years of software development experience with a significant focus on Linux Excellent C programming/debugging skills within Linux kernel and user space software Background with working on embedded systems and ARM processor specific System-level debugging experience and problem-solving skills Excellent communication skills Ways to stand out from the crowd: Understanding of the Linux power and thermal management features (schedule

PWI R&D Writing Systems Engineer Description - A Writing Systems Engineer is an experience individual contributor responsible for owning system-level performance of industrial inkjet web presses , with a strong emphasis on hands-on engineering, on-press troubleshooting, and technical leadership . This role leads complex problem solving across ink, printhead, media, firmware, and mechanical systems, driving print quality, reliability, and robustness through a combination of deep systems thinking and direct experimentation . The specialist serves as a key decision-maker in resolving ambiguous, cross-functional issues and ensuring successful product delivery. Responsibilities Hands-on system ownership & advanced troubleshooting (Primary) Serve as the technical owner for system-level performance , including print quality, reliability, and production robustness Lead hands-on troubleshooting on industrial web presses , diagnosing complex print defects (banding, mottle, nozzle behavior, edge effects, etc.) Design and execute on-press experiments (DOEs) to isolate root causes and quantify system sensitivities Drive root cause analysis across subsystems (ink formulation, printhead, firmware, mechanics, media) and implement corrective actions Support press bring-up, ramp, customer escalations, and field issues , often in high-pressure situations requiring rapid, data-driven decisions Translate real-world press behavior into actionable engineering insights and design improvements System design & integration leadership Define and develop system-level solutions to optimize ink/media interactions, printhead performance, and image quality Lead integration of subsystems (ink, printheads, m

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is building next-generation processors and systems, bringing together world-class expertise across silicon, systems, and software. We are looking for a CPU Performance Modeling Architect to help evaluate, shape, and optimize the performance of future CPU architectures. In this role, you’ll use performance modeling, workload analysis, and deep understanding of CPU architecture to answer complex questions about how a processor should be designed. You’ll work closely with CPU architects, RTL designers, software and compiler teams, and system engineers to identify performance opportunities, evaluate architectural tradeoffs, and turn modeling insights into actionable design decisions. This role is hybrid, based out of Santa Clara, CA or Austin, TX. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A CPU architect, performance architect, or performance modeling engineer with experience influencing CPU architecture or microarchitecture decisions. You have a strong understanding of modern processor architecture and enjoy digging into why a CPU performs the way it does. You are comfortable combining hardware architecture, software, data, and

This is where your work makes a difference. At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job—you will find purpose and pride. Your role at Baxter: Operational Excellence is responsible for leading site performance improvement initiatives through deployment of the Baxter Growth & Performance System (GPS). This role partners with manufacturing, engineering, quality, and support functions to drive sustainable improvements in Safety, Quality, Delivery, Cost, and People performance through Lean principles, Problem Solving, Value Stream Management, and Continuous Improvement methodologies. The position plays a key role in supporting site strategic priorities, improving operational performance, developing organizational capability, and driving a culture of continuous improvement. What we offer from Day One Medical, Dental and Vision coverage 160 hours of Paid Time Off and Paid Holidays 401K match Employee Stock Purchase Program Paid Parental Leave Tuition Reimbursement What you'll be doing: GPS Deployment & Continuous Improvement Lead and support deployment of GPS across manufacturing

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. As a Smart Manufacturing Product Owner at Micron Technology, Inc., you will be responsible to enable innovation and new frontier technology for Smart manufacturing to define, drive and deliver end to end smart manufacturing solution, coordinated across functions of the business. The team will look into applying industry-leading the best methodologies in automation, AI and machine learning to improve Micron’s product development, business and administrative processes across the company. You are joining a team where 'we' matter and hold high standards to achieve perfection. Key Responsibilities Lead the development and implementation of AI-driven Smart Manufacturing solutions to improve product yield, quality, test coverage, and system-level performance across Micron's semiconductor operations. Partner with Test Solutions Engineering, Product Engineering, Global Quality, and multi-functional collaborators to find opportunities and drive digital transformation initiatives. Collaborate with Data Scientists, Machine Learning Engineers, Solution Architects, and Data Engineers to define requirements, prioritize solutions, and deliver end-to-end projects. Translate business needs into detailed business requirements, user stories, acceptance criteria, and data requirements while ensuring alignment with enterprise standards and governance. Develop arguments for proposed solutions, including value quantification, analysis of return on investment and net present value, success metrics, and impl

About the job Lead the team that proves our AI silicon performs reliably before it reaches customers. You will build and lead Graphcore's characterisation capability for next generation silicon and system platforms. Your work will help ensure our products perform consistently across real world conditions. You will define bring up and characterisation strategies, lead technical execution, and shape the lab infrastructure needed for success. You'll work across silicon, hardware, manufacturing, architecture and product teams to solve complex engineering challenges. This is a hands on leadership role with the opportunity to influence both product design and how Graphcore validates future AI systems. The team and culture This is a newly formed team within Manufacturing Operations. You'll have the opportunity to establish how the team works while building strong partnerships across engineering and operations. Day to day, you'll work closely with architecture, silicon, hardware, production test and product teams. Decisions are driven by data, technical evidence and close collaboration across disciplines. We value ownership and clear communication. You'll be trusted to lead technical direction, remove blockers and help teams make progress with confidence. What we're looking for Essential Proven track record of delivering complex technical projects as an individual contributor, manager, or project manager, with the ability to work independently and drive execution. Strong expertise in silicon digital device design, bring-up, characterisation, and silicon process technologies, with an understanding of their impact on transistor- and system-level performance. In-depth knowledge of high-performance processors, system-on-chip (SoC) architectures, and high-speed digital interfaces such as PCIe, Ethernet, and DDR. Experience with measurement automation, data analysis, and scripting/coding to develop automated test and analysis workflows, with familiarity of ATE systems and t

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE OPPORTUNITY We are looking for Senior Software Engineers to join our team. This is a specialized, high-impact role sitting at the intersection of high-performance computing (HPC) and Large Language Model (LLM) engineering. You will not just be building the automated "speedometer and diagnostic" suite for our next-generation AI infrastructure; you will be defining the roadmap, driving key technical decisions, and taking full ownership of the future of this work. RESPONSIBILITIES Benchmarking : Evaluate, run and automate standard LLM quality benchmarks (GSM8K, MMLU) alongside custom performance suites for specific workloads (e.g., long-context window, KV cache reuse, disaggregated serving). DevEx Improvement : Develop and maintain internal GPU-enabled development environments (similar to GitHub Codespaces). You will ensure the team has seamless, high-performance "dev machines" optimized for model experimentation. Tool Development : Build and contribute to open-source tools such as InferenceMAX and genai-bench to automate model evaluation, benchmarking and analysis. System Profiling : Use profilers like PyTorch Profiler, NVIDIA Nsight Systems and py-spy to collect performance profiles, identify bottlenecks, and debug the compute/networking stack. Monitoring & Observability : Develop real-time dashboards and alerts to monitor system health, model startup times, and runtime performance. Continuous Integration : Auto

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is building the world’s fastest, most efficient AI compute clusters. TT-Fabric is the high-performance nervous system of this platform: the low-level networking layer that lets thousands of RISC-V and AI processors snap together into a single, massively parallel distributed supercomputer. If you love squeezing nanoseconds out of hot paths, designing protocols that move data at absurd scale, and turning messy hardware constraints into elegant distributed systems, this is an opportunity to shape the fabric that future AI models will run on This role is hybrid based out of Santa Clara, CA; Austin, TX; or Toronto, ON. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who We Are Strong systems engineer with deep C or C++ experience and comfort working in low-level or bare-metal environments. Passionate about hardware-software interaction, performance tuning, and eliminating inefficiencies at the protocol level. Curious about networking, synchronization, and communication across large clusters. Comfortable reasoning from first principles and challenging industry conventions. Motivated by building infrastructure that directly impacts large-scale

Job Details: Job Description: As a Facilities Mechanical Engineer, you will play a pivotal role in ensuring the reliable operation and maintenance of Intel's advanced mechanical systems, supporting our cutting-edge manufacturing, cleanroom, and research and development activities. Your work will directly impact Intel's ability to innovate and deliver world-class technologies by maintaining the critical infrastructure that enables peak operational performance. This role offers a unique opportunity to drive engineering excellence, collaborate with cross-functional stakeholders, and shape the future of Intel's facilities globally. Key Responsibilities: Ensure the availability, reliability, and maintenance of mechanical systems such as oil-free air systems, HVAC systems, chilled water plants, boilers, environmental abatement systems, and compliance exhaust systems. Support daily tactical efforts to meet safety, reliability, and environmental targets for mechanical systems. Design and analyze mechanical systems and equipment, troubleshoot systematic issues, and provide evaluations, recommendations, and solutions to resolve problems. Develop engineering scopes of work for mechanical projects and conduct design reviews to ensure system integrity and performance. Conduct feasibility studies and testing on new and modified designs, while overseeing prototype fabrication and design testing. Partner with internal business units and operations teams to deliver engineering solutions tailored to their specific needs.