System Performance Engineer Jobs

We're looking for a Senior Platform Reliability Engineer who brings strong software engineering skills and a deep understanding of system behavior under load and stress. This role is a good fit for someone who wants to own reliability as a first-class concern – building the foundational systems that protect Asana's platform, not just responding when things go wrong. You'll build core platform systems like load shedding, rate limiting, circuit breakers, and traffic controls that protect Asana under real-world load. This is deep, cross-cutting work that shapes stability and performance of our entire infrastructure – and you'll partner closely with other platform teams to make reliability something that's built in, not bolted on. Our tech stack includes: AWS, Kubernetes (EKS), CloudFront, Istio, Cilium, MySQL (RDS), OpenSearch, DynamoDB, Redis, Terraform, Datadog, TypeScript, Scala, Go, and Python. (Yeah, we know this sounds like buzzword bingo – but we want this post to actually show up in your searches.) Why this role? Reliability as a first-class feature : You won't be patching things up after the fact. You'll build the systems that make Asana resilient by design. Foundational work : Load shedding, traffic management, ingress/egress – these are the building blocks that protect everything else. You'll own them. Strong collaboration, reasonable hours : You'll work closely with infrastructure teams in Warsaw and Reykjavik, making deep collaboration practical without constant timezone gymnastics. Room to grow : This is a new team, and you'll help shape what Platform Reliability Engineering looks like at Asana – whether that means leading projects, mentoring others, or defining our technical direction. In this role, success means shipping systems that other teams rely on by default – because they make the platform safer, not because they're mandatory. We're especially interested in people who think like backend engineers but obsess over failure modes, capacity plan

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. We are looking for a person ready to take up the challenge of working in a high-profile project where we integrate multiple chiplets into a System-in-package, in collaboration with external stakeholders. You will work with Tenstorrent worldwide experts and leaders in the USA, Japan and other countries, and help us make our IP even better. In this role, you will ensure functionality and performance of the system. This role is based out of Tokyo, Japan and offer flexible Hybrid work style. 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. Responsibilities: Verify Tenstorrent’s digital IP and SoC logic at chiplet integration level, using industry standard verification methodologies Build and improve components of verification infrastructure including model builds and simulation/regression runs, Create verification components like testbenches, checkers and test generators, Add assertions and coverages along associated methodologies, Build verification test plans for subsystems, align them with project stakeholders, implement test suites, summarize the results and share feedback with project stakeholders Publish and review verification metrics and drive

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 looking for a highly experienced, hands-on RTL engineer with deep packet-networking and interconnect expertise to own critical on- and off-chip communication components for our custom AI accelerator platform. You will drive the microarchitecture and RTL implementation of scalable on-chip fabrics connecting high-bandwidth compute, memory, and I/O subsystems, as well as purpose-built off-chip interfaces and protocols that enable custom computing at scale. The ideal candidate has recently owned production RTL for networking or packet-switched datapaths such as Ethernet switches, NICs, SmartNICs, network accelerators, RDMA/RoCE systems, NoCs, or custom scale-up/scale-out fabrics. This is a senior engineering role with broad technical ownership and substantial direct RTL work. You will drive designs from requirements and performance analysis through microarchitecture, SystemVerilog implementation, verification closure, physical design convergence, silicon bring-up, and production readiness. You will also plan and oversee the work of junior engineers and help develop productive engineering relationships with external partners. In this role, you will: Own the microarchitecture, RTL design, and delivery of major packet-based interconnect and networking components, including NoC fabrics, switches, routers, bridges, protocol adapters, arbiters, queues, schedulers, buffers, and traffic-management logic. Design mechanisms for routing, arbitration, ordering, flow con

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. We are seeking a Software Driver Developer to create reference drivers for our AI-IP in a reference system. You will also support our AI-IP customer optimizing our reference driver into our customer specific systems. This role is hybrid, based out of Belgrade, Serbia. 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 Deep systems engineer with 7+ years of experience in device drivers or low-level systems programming. Strong proficiency in C and C++ with a solid understanding of hardware-software interfaces. Hands-on experience developing Linux kernel drivers, including kernel architecture, debugging, and kernel-space/user-space interactions. Experience developing drivers for high-speed I/O or interconnect technologies such as PCIe; PCIe driver development is strongly preferred. Familiar with user-mode and kernel-mode driver models and understands that Linux kernel driver development differs meaningfully from bare-metal or RTOS-based driver development. What We Need Design and evolve the driver layer that provides high-performance APIs for Tenstorrent devices. Develop and maintain user-mode and kernel-mode drivers for Te

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. Job title Senior DFT Engineer Job description We are looking for a person ready to take up the challenge of working in a high-profile project where we design and integrate multiple chiplets into a System-in-package, in collaboration with external stakeholders. You will work with Tenstorrent worldwide experts and leaders in the USA, Japan and other countries, and help us make our IP even better. In this role, you will be responsible for DFT implementation using industry standard tools for high-speed CPU core design. Your responsibilities Integrate and verify test features in digital designs for effective manufacturing testing and silicon debug. Key responsibilities include: Building entire chip-level DFT strategies Inserting DFTs, including scan chains, memory BIST, and JTAG Collaborating with RTL, physical design, and verification teams for testability throughout the design flow Scripting and automating DFT flows using industry-standard EDA tools (e.g., Cadence, Synopsys, Siemens) Running and analyzing ATPG and fault coverage reports Supporting silicon bring-up and debug related to test features Knowledge of advanced silicon technologies and methodologies for test coverage optimization Experience with formal verification and signoff of inserted DFT logic Strong communication and collaboration skills for cross-functional teamwork Exp

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 Work Drive the system-level safety architecture and requirements for the Autonomy Hardware and Firmware of the Nuro Driver, ensuring compliance with automotive safety standards such as ISO 26262 and ISO 21448. Decompose vehicle-level Safety Goals into a cohesive Functional Safety Concept (FSC) and refine it into a detailed Technical Safety Concept (TSC), defining system-level safety mechanisms, fault detection and reaction strategies, and safe states. Develop the system-level SOTIF specification for the Autonomy Hardware and Firmware of the Nuro Driver, defining performance targets and acceptance criteria for safety-critical systems like Autonomy Sensors and Compute. Lead, perform, and review system-level safety analyses, including Hazard Analysis and Risk Assessment (HARA), Failure Mode and Effects Analysis (FMEA), and Fault Tree Analysis (FTA), Dependent Failure Analysis (DFA) to identify risks and deriv

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing 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 is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. We are looking for a highly motivated senior software engineer for an exciting role in our communication libraries and network software team. The position will be part of a fast-paced crew that develops and maintains software for complex heterogeneous computing systems that power disruptive products in High Performance Computing and Deep Learning. What you will be doing: Design, implement and maintain highly-optimized communication runtimes for Deep Learning frameworks (e.g. NCCL for TensorFlow/Pytorch) and HPC programming interfaces (e.g. UCX for MPI/OpenSHMEM) on GPU clusters. Participating in and contributing to parallel programming interface specifications like MPI/OpenSHMEM. Design, implement and maintain system software that enables interactions among GPUs and interactions between GPUs and other system components. Creating proof-of-concepts to evaluate and motivate extensions in programming models, new designs in runtimes and new features in hardware. What we need to see: M.S./Ph.D. degree in CS/CE or equivalent experience. 5+ years of relevant experience. Excellent C/C++ programming and debugging skills. Strong experience with Linux. Expert understanding of computer syst

NVIDIA is seeking a QA Engineer to join our Cloud Testing team. As part of the broader QA organization, you’ll focus on testing the software layer that enables NVIDIA’s products to achieve industry-leading benchmarks in performance and quality. This role involves hands-on testing of cutting-edge cloud and networking features, learning new technologies, and contributing to both manual and automated validation efforts. What You’ll Be Doing: Design, develop, and execute test plans for new features across software and update releases Identify and report bugs, assist in reproducing issues, and collaborate with R&D to isolate root causes and validate fixes Perform a variety of tests including functional, regression, performance, and security testing Analyze network flows and debug issues through log and system analysis Develop automation scripts and contribute to building scalable test infrastructures What We Need to See: Practical Engineer / BA / BSc in Computer Science or a related field 1–3 years of relevant work experience Proficiency in scripting and automation languages such as Python, PyTest, or Bash Strong hands-on experience with Linux systems Ability to work independently, take ownership, and execute tasks effectively Willingness and availability to work with physical lab setups Strong verbal and written communication skills in English Ways to Stand Out from the Crowd: Experience with containerized environments (Docker, Kubernetes) Familiarity with DevOps practices and CI/CD pipelines using Jenkins or GitLab Understanding and experience with Agile and Scrum methodologies A collaborative team player with a proactive and leadership-oriented minds

Key Responsibilities : Primary responsibilities :- Installation and configuration of MySQL instances on single or multiple ports. Hands-on experience of working with MysQL 5.7 and MySQL 8. Clear understanding of MysQL Replication process flows , threads , setting up multi node clusters and basic troubleshooting. Understanding of at least one of the backup and recovery methods for MySQL . Strong fundamentals of SQL and able to understand and tune complex SQL queries when needed. Strong fundamentals on the linux system side and monitoring tools like top , iostats , sar etc. At Least couple of years of production hands on experience on medium to big sized MySQL databases. Setting up and maintaining users and privileges management system and troubleshooting relevant access issues. Some exposure to external tools like Percona , ProxySQL , HAP etc. Understand the transaction flows and ACID compliance. Basic understanding of networking concepts . Performing on-call support and should be able to provide the first level support . Excellent verbal and written communication skills. Strong shell scripting skills . Good to have Python . Secondary responsibilities. :- Able to configure and setup NOSQL databases like Mongodb and Cassandra. Ability to learn new technologies along with a team and a positive outlook to understand problems from the business point of view. Qualifications: Proficiency in database management systems such as , MySQL or NoSQL databases. SQL programming and database design skills. Knowledge of database performance tuning and optimization techniques. Familiarity with database security best practices. Scripting and automation skills (Good to have- Python). Good problem-solving and analytical skills. Excellent communication and teamwork skills.

We are seeking software engineers to work on next-generation graphics and computing products. Our charter is to build the most stressful set of applications a GPU or high performance computing server would see in its life cycle. The best candidates will have strong C++ programming skills, thorough knowledge of graphics concepts and algorithms, a solid foundation of systems software with emphasis on OS fundamentals, and a deep understanding of current generation PC/hardware architecture. Excellent communication skills and a dedication to meticulous engineering practices are a requirement. As a system software engineer, you will extensively use your knowledge of operating systems, algorithms, and computer architecture to provide robust and efficient solutions to validate and test next generation processors. What you'll be doing: Working closely with architecture, hardware and driver teams through the product development lifecycle of computing and graphics processors, as well as compute products. Responsible for crafting software tools and infrastructure required for new chip development, validation, and productization. You will assess new hardware features and architect manufacturing diagnostic tests using pre-beta CUDA and OpenGL extensions. This job will require an understanding of our hardware and software architectures. What we need to see: BS or MS degree in one of the areas of Electrical Engineering, Computer Engineering, Computer Science or equivalent experience 3+ years experience in a related hardware/software position Strong C/C++ programming skills Familiarity with P

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 . We're hiring a Senior Software Engineer to join the CB Node team within the Platform organization. This team runs all the blockchain nodes that power every asset Coinbase offers to customers, currently spanning 55 unique protocols across Ethereum, Bitcoin, Solana, and beyond. You'll focus on performance optimization and reliability across the blockchain platform stack, diagnosing root causes instead of over-provisioning, reducing infrastructure spend, and building the observability and health-check systems that keep our nodes reliable at scale. What you'll do: Own deep performance analysis and optimization across the blockchain node stack, diagnosing root causes of resource consumption and implementing system-level fixes that reduce infrastructure spend while maintaining reliability SLOs. Build observability, health-check, and automated failover capabilities for blockchain nodes, ensuring the team can detect degradation and respond proactively rather than reactively scaling resources. Drive a right-sizing initiative across the node fleet, profiling workloads, identifying over-provisioned instances, and establishing capacity models that balance cost efficiency with headroom for reliability. Partner with protocol integration engineers, wallet teams, and indexer teams to extend performance improvements across the full blockchain platform stack, not just the node la

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role The Streaming Platform team at Sentry is building the next generation of infrastructure that powers our ingestion pipelines and real-time data processing systems. Our platform ingests, processes, and distributes hundreds of thousands of events per second with low latency and high reliability. We are creating a system that makes it easy for Sentry engineers to deploy and run Streaming Applications at scale by simplifying the complexity of Kafka, scaling consumers automatically, and managing state so product teams can focus on building great experiences for developers. As part of this team, you will work on challenges at the intersection of distributed systems, real-time data processing, and developer experience. You will help us create a self-service streaming platform that improves stability, accelerates time to production, and reduces operational overhead. In this role you will Design, build, and operate components of our Streaming Platform, including Kafka, the streaming runtime, high-level APIs, and developer-facing abstractions. Implement resilient, high-throughput stream processing systems that handle unbounded datasets with strong correctness guarantees (delivery, checkpointing, watermarking, and more). Build scalable automation and control plane for Kafka fleet management and improve efficiency. Partner with product engineers to ensure our abstractions enable fast, reliable, and consistent ingestion pipelines. Improve observability, monitoring, and failover for mission-critical real-time systems. You’ll love this job if you You enjoy working on distributed systems at scale and care about reliability and

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 software engineer to help build the design methodology, software abstractions, and infrastructure that enable a small silicon team to develop complex chips rapidly and with high confidence. You will turn evolving architecture and design needs into reusable tools and workflows that improve iteration speed, quality, and then apply those tools to help construct world-class silicon. You’ll work closely across architecture, design, verification, performance modeling, and systems software. This role is well suited for an engineer who enjoys building high quality software and is motivated by the challenge of improving velocity and quality of the silicon development process. In this role, you will: Develop and scale design methodologies for rapid first-party chip development and apply them to construct complex custom chips Create abstractions that allow hardware structures, configurations, experiments, and results to be represented consistently across tools. Automate high-value engineering workflows and improve their reproducibility, observability, testability, and ease of use. Partner with architects, RTL designers, verification engineers, compiler engineers, and systems software engineers to gather requirements and then implement solutions. Use methodology and tooling to identify design risks early, accelerate iteration, and improve confidence in performance and implementation tradeoffs. Contribute across multiple aspects of software and hardware

About the Team DoorDash is building the world's most reliable on-demand, logistics engine for delivery! We're looking for experienced engineers to join our fast-growing engineering team to help us develop a 24x7, global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers. About the Role Product engineers work at the intersection of product and infrastructure to solve key business problems with elegant technical solutions. You'll operate our backend services and architecture that support all product functionality and will be challenged to consider the big picture -- collaborating cross-functionally, as well as evaluating and executing on trade-offs to maximize business impact for the company. You're excited about this opportunity because you will... Develop, release and run large-scale web applications Develop and define the backend architecture and tech stack for a product area Improve performance, reliability, scalability and security for our backend systems Be involved in transitioning our monolithic codebase to a microservice-based architecture Completely disrupt logistics by tackling bleeding-edge, technical problems We're excited about you because you have... B.S., M.S., or PhD. in Computer Science or equivalent 8+ years of industry experience Prior experience working with backend tech stacks Ability to analyze and improve efficiency, scalability, and stability of various system resources Experience with service oriented architecture, writing REST API’s, unit testing, and architectural design Understanding of modern web stacks and architecture (HTTP, REST) Experience with SQL and NoSQL databases and other technologies (e.g. Postgres, Redis, Elasticsearch, RabbitMQ) Nice To Haves Experience building large scale, real-time applications Experience with Java/Kotlin Contributor to open source projects Compensation Actual compensation within the pay range listed below will be decided based on factors includ

Cloud Operations Engineers are responsible for building internal tools and process automation. Day-to-day duties are creating and monitoring systems alert dashboards, reviewing critical event and system logs, accessing customer instances that underpin their production databases, and performing server administration duties including performance troubleshooting. Applicants must be critical thinkers who are quick to detect, resolve, or escalate issues that are sometimes broad in scope and difficult to trace. We are looking for a Lead with strong technical leadership experience as well as technical depth who is looking to collaborate closely with Cloud Operations Engineering Management in building and maintaining a high-performing team that delivers high quality outcomes while fostering psychological safety and professional growth. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Core responsibilities Team leadership: partner with and assist COE Management with the tasks of providing ongoing technical feedback to engineers, support their growth and creating an inclusive team environment Execution and delivery: play a key role in guiding team members through project deliverables ensuring high quality outcomes while also assisting in meeting or resetting timelines when required Time management: between assisting team members with day to day tasks ranging from incident to project management Cross-functional collaboration: work closely with Product, Technical Services and R&D to surface team’s pain points and drive alignment with the goal of providing an excellent user experience to the end customer Coordinate with Lead counterparts within Cloud Operations as well as Technical Services to ensure our uptime guarantees to the MongoDB Atlas customer base Assist and collaborate with the team on scoping, designing, deploying and ongoing maintenance of systems that focus on reducing mean time to resolve customer incidents Detec