Performance And Systems Engineer Jobs

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Widely considered to be one of the technology world’s most desirable employers, NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA’s Hardware Infrastructure organization develops, deploys, and runs engineering infrastructure on large-scale, distributed cloud computing systems with 1000s of heterogeneous servers and petabytes of high-performance shared storage. We are looking for a highly motivated senior software development engineer to develop and deploy software storage management systems for NVIDIA's worldwide design engineering teams. Collaborate with internal customers and partners, working with technical teams to build and implement efficient software storage systems that improve engineering efficiency and benefit NVIDIA's business. What you'll be doing: Collaborate with HW and SW engineering teams to define new features for distributed software storage systems. Craft and develop scalable, distributed, storage management system solutions written in Perl and Python Work closely with team members and internal customers to optimize workflow efficiency and scalability. Drive improvements to SW design and test processes to improve velocity and deliver very high production quality. Directly contribute to the overall quality of and improve time t

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach's Summer 2027 Engineering Internship, Software is open for future engineers and builders who want to work with us. This is a paid, in-person, 12-week internship. Depending on your background and team placement, you might work on: Guidance, Navigation & Control (GNC) — guidance algorithms, state estimation, trajectory planning, feedback control, and autonomy for unmanned platforms Flight & autonomy software — real-time software, flight control systems, autonomy stacks, and algorithms for next-generation vehicles Embedded software — low-level firmware, device drivers, hardware interfaces, and real-time systems running on embedded platforms Simulation & modeling — high-fidelity simulations, digital twins, hardware-in-the-loop testing, and tools for developing and validating autonomous systems Perception & sensor fusion — processing data from cameras, IMUs, GPS, radar, and other sensors to enable reliable navigation and situational awareness Testing & validation — software-in-the-loop, hardware-in-the-loop, automated testing, flight testing, and analyzing system performance under demanding conditions Sy

InMobi (Corporate) InMobi Group is a global technology company shaping the future of agentic commerce and advertising. Through its ecosystem of businesses — including InMobi Advertising and flagship consumer platform Glance — InMobi leverages data, machine learning, and generative AI to help brands reach audiences more precisely and consumers discover products more intuitively. Glance, which is pioneering new models of agentic commerce, is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. InMobi Advertising InMobi Advertising, part of global technology company InMobi, is an agentic advertising platform helping brands and merchants achieve their business outcomes. Through its proprietary intelligence, AI-led solutions, and vast consumer reach — including flagship consumer platform Glance — InMobi Advertising delivers the omnichannel performance defining what's next in advertising and commerce. Glance is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. To learn more, visit advertising.inmobi.com. Glance Glance is an intelligent shopping agent, redefining the commerce experience. Powered by proprietary agentic intelligence and generative AI, Glance delivers a hyper-personalized consumer experience across mobile and TV — shaping the new era of shopping. Glance is operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of global technology leader InMobi, and is backed by Mithril Capital, Google and Jio Platforms. To learn more, visit glance.com. What is the team like? The GTM (Go-To-Market) Engineering team at InMobi builds and scales the systems that power revenue operations and customer engagement. The team owns a comprehensive Salesforce ecosystem—including Sales Cloud, Data Cloud, and Agentforce —along with Experience Cloud (Customer Community), enabling seamless workflows for Sales, Account Management, and Business teams. A key focus area is building intelligent

About the job Build the test systems that help deliver AI hardware at production scale. As a Staff Hardware System Test Engineer, you'll develop manufacturing test solutions for complex compute systems. Your work will help ensure products reach customers with the quality and reliability expected from Graphcore. You'll shape how hardware is tested across Host Processor Modules, server blades, and multi-node racks. The tools, test content, and diagnostics you create will directly influence manufacturing efficiency and product quality. You'll develop test software, design test approaches, and solve challenging hardware issues. You'll work closely with hardware, firmware, software, and manufacturing teams to improve test coverage and diagnose problems quickly. This role offers broad technical scope across silicon, boards, systems, software, and manufacturing. You'll have the opportunity to influence engineering decisions and raise technical standards across the organisation. The team and culture The Product Test and Diagnosis team owns the strategy for finding and diagnosing hardware defects throughout the product lifecycle. The team works across silicon, boards, servers, and rack-scale systems. Day to day, engineers work closely with design, firmware, software, quality, and manufacturing teams. Problems are solved through data, technical debate, and hands-on investigation. You'll join a global engineering group spanning the UK, Taiwan, India, and the United States. People are trusted to take ownership, make decisions, and drive improvements that deliver measurable results. What we're looking for Essential: Significant experience developing and deploying manufacturing test solutions for high-performance servers, accelerators (GPU-class), or comparable large-scale compute hardware. Strong technical leadership as an individual contributor, with experience owning substantial technical workstreams and collab

RDQ427R204 Databricks builds the world's leading data and AI platform, used by tens of thousands of organizations to turn raw data into decisions that matter. The Lakeflow Engineering team owns the entirety of the ETL product line: Declarative Dataflow Graphs, Materialized Views, Structured Streaming, and Flows. We run what is arguably the world's largest data engineering platform, processing exabytes of data daily across tens of thousands of customers. The problems we solve (fault-tolerant incremental computation, stream-batch unification, declarative pipeline orchestration at massive scale) sit at the frontier of what distributed data systems can do. We're looking for a Senior Staff Engineer to serve as a technical architect and engineering leader for this platform. You'll own the long-term technical direction for how pipelines are defined, optimized, executed, and operated, shaping the systems that data teams worldwide depend on every day. You will work across one or more of the following areas to design and build the next generation of data infrastructure: Declarative Dataflow Processing Resource management Efficient storage structures Stream Processing and Complex Event Processing Autonomic Computing and Self-Managing Systems The Impact you will have: Architect and deliver a highly scalable, fault-tolerant platform for declarative pipelines and materialized views serving thousands of production customers. Turn ambiguous, large-scale technical challenges into clear execution plans that ship incrementally and hold up at exabyte scale. Bridge the gap between research and production by bringing ideas from the academic literature or internal R&D into systems that solve real customer problems. Lead deep systems work: performance diagnosis on large production clusters, low-level debugging, and optimization that moves the needle on cost and latency. Shape product direction alongside engineering and product leadership, owning technical strategy from design thr

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,

Location : Come and join us in Hamburg. Freenow by Lyft empowers smarter mobility decisions helping people to move freely and cities to thrive. We are looking for an Engineering Manager to lead a high-performing team of software engineers focused on our Rider domain — the customer-facing app and platform that millions of riders use every day. Your team will play a pivotal role in bringing Lyft's product experience to Europe, adapting and building the systems that let riders book rides seamlessly across all markets This critical role ensures team’s alignment with product and business strategy, while driving efficient delivery of features. You will foster an environment of technical excellence, psychological safety, and continuous individual development, ultimately maximizing business impact across all Freenow markets through innovation. Be ready to work in a multinational, diverse, highly motivated and collaborative team of passionate colleagues who strive for excellence and enjoy their work. Are you ready for your next ride? YOUR DAILY ADVENTURES WILL INCLUDE: Team Performance & Delivery: Within the frame of quarterly goals and company strategy, lead the team in delivering high-quality, scalable software solutions. Focus on continuously improving engineering processes to ensure predictable, timely delivery while managing team capacity and focus. You inspire innovation to disrupt incumbents. People Development: Provide coaching, mentoring, and continuous feedback to team members. Identify development areas and growth opportunities to support individual career paths and enhance team competence in building innovative customer and driver support solutions. You get to build a team from the ground up. Technical Ownership: In collaboration with Staff Engineers and Principals, lead technical decision-making for the support systems. Ensure high standards of quality, reliability, maintainability, and observability in all solutions, particularly the large-scale syste

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences – all created by our global community of developers and creators. At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We're on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Why Safety AI Systems? As Senior Engineering Manager for Safety AI Systems at Roblox, you'll lead technical efforts and manage a team of experienced engineers to develop innovative AI solutions for language and text content safety. You'll oversee machine learning systems, data quality, training pipelines, and model performance to address challenges like real-time content understanding across Roblox's experiences

The Core Data Science team builds the products and data assets that let teams across Zoox measure and improve the autonomy and operational performance of our fleet. In this role, you'll focus on fleet simulation — the environment our data teams use to develop, test, and evaluate the algorithms that orchestrate our autonomous fleet (dispatch, routing, and vehicle assignment) and to understand how those algorithms perform before they reach the road. You’ll piece together the constituent components into a coherent, easy-to-use simulation environment, filling in the gaps, and building generalizable mechanisms so data scientists can measure their algorithm's impact on fleet efficiency. You'll join a diverse, experienced team with rapidly growing scope while working with one of the industry's most valuable autonomous vehicle datasets. In this role, you will: Turn existing fleet-simulation components into a coherent, self-service environment that data scientists and ML engineers can run without deep software expertise. Fill gaps and build the connective tissue between simulation, data, and fleet-orchestration algorithms. Build generalizable mechanisms that let teams measure how their orchestration algorithms affect fleet efficiency. Collaborate with data science, ML, and fleet-orchestration teams to shape and prioritize the simulation roadmap. Establish best practices and processes around simulation, evaluation, and data-driven decision-making. Qualifications Software development experience in a production environment, with fluency in Python; or demonstrated experience learning new programming languages. Experience building tools, services, or frameworks that make complex systems usable by non-specialist users. Familiarity with any version control system, with preference for Git. Experience designing metrics and building mechanisms that deliver robust, actionable insights. Good communi

The Site Reliability Engineering team designs and builds the global infrastructure on which we deploy our services, focusing on the above mentioned flagship MongoDB Atlas platform. As our customers grow and globalize, our services must satisfy demands for low-latency requests around the globe, and comply with various data sovereignty requirements. The SRE Team’s mission is to build this increasingly complex infrastructure, while continually lowering the operational burden associated with it, and increasing our internal visibility into the health of the system. We are strong believers in infrastructure-as-code and self-healing systems. The SRE Team is fully integrated with all the other engineering teams, and the teams work closely together with a soft and traversable boundary between their areas of responsibility. We are looking to speak to candidates who are based in New York City for our hybrid working model. Responsibilities Design and build the infrastructure for a global cloud service that comprises hundreds of thousands of MongoDB clusters, processes a billion metrics per day, and replicates tens of billions of database writes to our backup service Design, implement, and troubleshoot the automation and monitoring of services that seamlessly spans the globe - including several cloud providers Become an expert in infrastructure performance, helping us optimize from the application level all the way through the firmware Build for resilience. Our goal is that nobody’s pager goes off, ever. Are we there yet? No. Are we really close? Very. While we work on that - participate in a weekly on-call rotation Improve our infrastructure capabilities, optimizing for cost, simplicity, and maintainability Requirements 3+ years of experience running a mission critical service at scale in a Linux environment Firm grasp of at least one modern programming language, beyond basic scripting Familiarity with web and network protocols and standards (HTTP, TLS, DNS, etc) Bachelor’s deg

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 We are looking for a skilled engineer to help build and maintain release and OTA update infrastructure. Our team, Fleet Connectivity, builds the infrastructure to connect and update Nuro’s fleets. Our engineers work on the tech stack across the cloud and robots to build reliable, efficient systems for network connectivity, telemetry, and software updates, which is critical to the advancement and scale up of our AV vision. About the Work Design, develop, test, deploy, maintain, and improve software for our mission-critical systems like release infrastructure, vehicle connectivity, and OTA updates. Manage individual project priorities, deadlines, and deliverables, internally and cross-team. Write well-designed, testable code that aligns with our code quality standards. Track and improve performance of our release system, defining and tracking KPIs, and proposing and implementing optimizations to improve the cost, time,

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity Join New Relic’s Container Fabric (CF) team and play a pivotal role in shaping our global internal platform. You will work at the very heart of our infrastructure, building resilient, scalable systems that empower engineering teams across the entire business. If you thrive on solving complex, large-scale challenges and enjoy the tangible impact of high-availability platform orchestration, this is your chance to elevate your technical reach. You will be given the autonomy to drive platform evolution, work with state-of-the-art cloud-native tools, and push the boundaries of modern infrastructure. What you'll do Platform Orchestration: Oversee and enhance a massive Kubernetes infrastructure platform, ensuring peak availability, performance, and reliability. Automation & Engineering: Evolve internal tooling to eliminate manual overhead and streamline platform delivery across global teams. Lifecycle Management: Manage Day 1 and Day 2 operations for Kubernetes clusters using modern scaling frameworks. Operational Excellence: Partner with a supportive engineering team to manage production environments and lead high-severity incident responses calmly and efficiently. This role requires Infrastructure Expertise: A background in DevOps, Site Reliability, or Infrastructure Engineering managing production environments. Kubernetes Mastery: Deep working knowledge of K8s primitives (Deployments, StatefulSets, Services) and hands-on experience building custom Kubernetes O

About the Team OpenAI develops models that can reason through complex problems and hardware designed for the demands of advanced AI. AI for Chips connects these efforts: applying increasingly capable AI systems to the work of semiconductor engineering. Our goal is to help engineers develop better chips and shorten design cycles. This work brings research, model training, and hardware expertise together to build tools that engineers can use on real designs, with correctness and measurable performance at the center. About the Role We’re hiring a Research Engineer to help OpenAI models solve chip-design problems through reinforcement learning, tool use, and evaluation. You’ll own experiments from the initial idea through implementation and analysis. That means building environments and evaluations, running training, investigating failures, and using the results to decide what to try next. You’ll also build the software needed to make those experiments reliable and reproducible. We value strong coding fundamentals, careful experimental judgment, and the ability to make progress independently. Prior chip-design experience is helpful, but you can learn the domain alongside the team’s hardware specialists. In this role, you will: Build RL environments and evaluations for tasks such as RTL generation, design verification, and physical design optimization. Develop and test approaches that help models use chip-design tools and improve power, performance, and area while preserving correctness. Design experiments, establish baselines, and measure whether improvements hold up on new tasks and designs. Investigate failures across model behavior, rewards, evaluation tools, and experiment infrastructure. Improve iteration speed through better tooling, faster evaluations, and proxy rewards that reflect the outcomes we care about. Turn successful experiments into reusable research code and training workflows, working closely with researchers and engineers. You might thrive in this ro

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We’re looking for Forward Deployed Infrastructure Engineers who can help us build, operate, and maintain high-performance, scalable, and reliable services for Palantir platforms, products, and deployments. You'll get to use your creativity to develop novel solutions to evolving challenges and automate processes wherever possible, using whichever tools are best for the job including industry-leading LLM and AI technology! As a Forward Deployed Infrastructure Engineer, every day is different! You will be developing software and providing high-quality support for software systems that are critical to solving our government’s greatest challenges. We strongly believe in engineering teams being responsible for the operations of their services in production. As such, you’ll work closely with forward deployed teams and product teams to participate in sensible, scalable, systems design and share responsibility with them in diagnosing, resolving, and preventing production issues. Core Responsibilities Handle support and operations of Palantir software, including monitoring and alerting, configuration management, and upgrades Deploy new Palantir products at customer deployments and perform migrations to the latest infrastructure types Debug, improve, and optimize Palantir’s services and infrastructure with a focus on long-term reliability and scalability Reduce manual operations and automate workflows, processes, and/or runbooks where possible Provide technical troubleshooting support for production issues, ensuring timely resolution and minimal impact on operations. Participate in a support on-call schedule. Develop

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We’re looking for Forward Deployed Infrastructure Engineers who can help us build, operate, and maintain high-performance, scalable, and reliable services for Palantir platforms, products, and deployments. You'll get to use your creativity to develop novel solutions to evolving challenges and automate processes wherever possible, using whichever tools are best for the job including industry-leading LLM and AI technology! As a Forward Deployed Infrastructure Engineer, every day is different! You will be developing software and providing high-quality support for software systems that are critical to solving our government’s greatest challenges. We strongly believe in engineering teams being responsible for the operations of their services in production. As such, you’ll work closely with forward deployed teams and product teams to participate in sensible, scalable, systems design and share responsibility with them in diagnosing, resolving, and preventing production issues. Core Responsibilities Handle support and operations of Palantir software, including monitoring and alerting, configuration management, and upgrades Deploy new Palantir products at customer deployments and perform migrations to the latest infrastructure types Debug, improve, and optimise Palantir’s services and infrastructure with a focus on long-term reliability and scalability Reduce manual operations and automate workflows, processes, and/or runbooks where possible Provide technical troubleshooting support for production issues, ensuring timely resolution and minimal impact on operations. Participate in a support on-call schedule Develop n