Performance And Systems Engineer Jobs

As an Engineering Manager on Coder’s Core Workspaces team, you’ll lead engineers building and evolving the systems behind our agentic development experience. You’ll help make agents more capable, reliable, and useful across real development environments. You’ll guide technical direction while growing the team and keeping execution sharp. You’ll work closely with Engineering, Product, and Design across the agent harness, integrations, and developer workflows. What you’ll do here Lead and grow a team within our Workspaces organization. Set technical direction across the agent harness, integrations, and workflows. Stay close to the code and contribute to architecture and implementation decisions. Evolve agent execution, tool use, context management, streaming, and long-running workflows. Extend our provider-agnostic architecture as models and capabilities change. Partner with Product and Design to turn agent capabilities into useful developer experiences. Improve reliability, performance, and operability across agentic systems. Coach engineers, raise the technical bar, and create clarity around priorities and tradeoffs. What we’re looking for Experience managing and growing software engineering teams. Strong hands-on engineering experience with React and TypeScript . Experience with Go . Hands-on experience building systems around LLMs and agentic workflows. Experience with model APIs, tool calling, context management, or agent loops. Strong distributed systems knowledge. Working knowledge of AWS . Strong technical judgment and comfort working through ambiguity. A track record of helping engineers grow while maintaining a high execution bar. Bonus tacos if you have Experience building coding agents, developer tools, or cloud development environments. Experience with MCP , agent tools, or multi-agent systems. Experience with remote execution, sandboxing, or isolated compute. Experience building abstractions across multiple model providers. Deep experience with AWS, Kube

We are seeking a Staff Engineer to join our growing team to provide technical direction and implement core parts of a new platform we are building to make it easier for customers to build AI applications using MongoDB. As a Staff Engineer on this new team, you will be responsible for providing technical leadership to teams developing cutting edge technologies related to enabling deployment at scale of AI applications. You will take on challenging, high-visibility projects that improve and enhance the performance, scalability, and reliability of the distributed systems infrastructure for this new product. MongoDB engineering teams pride themselves on building high-quality software and living MongoDB cultural values every day. We value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition. We're looking to speak with candidates based in the New York City area for our hybrid or in-office working models. Position Expectations Work closely with product management, product engineering, product design peers as well as other teams within the company to define the first version and future evolution of the service Design, build and deliver well-tested core pieces of the platform in collaboration with other vested parties Contribute to shaping architecture, code reviews and development practices, developer experience as the teams and product grow Mentor fellow engineers and assume ownership and accountability of projects Qualifications Strong background in building core components for high scale compute and data distributed systems 8+ years experience of building distributed systems, and/or foundational cloud services at scale and an interest in working with Python, Go and Java Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational materials of computer science and maintaining distributed and/or highly concurrent software s

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Recruiting Analytics Data Engineer to join our People Data Solutions team, focusing on building and maintaining the data infrastructure that powers our recruiting analytics capabilities. You'll be the technical foundation for our recruiting analytics team, designing scalable data architectures and implementing robust data models that enable evidence-based decision-making across Anthropic. This role sits at the intersection of data engineering and recruiting analytics - you'll build the technical foundation for insights about recruiting funnels, interviews, and workforce planning while working with a team that's actively experimenting with AI to transform how we understand and support our workforce. Key responsibilities Data Infrastructure & Modeling Refactor and optimize our existing BigQuery tables to create a scalable data foundation that supports and enables AI-driven data insights across the company Design scalable data architectures and build dimensional models that transform raw HR data into trusted, reusable datasets for self-serve analytics while maintaining performance Implement data governance including documentation, lineage tracking, quality monitoring, and proactive alerting systems Ensure appropriate data access controls including row and column-level security for sensitive candidate data Pipeline Development & Integration Build and maintain ETL/ELT pipelines using dbt and Google BigQuery to integrate data from our HRIS (Workday), ATS (Greenhouse), and internal tools Create reliable data flows that handle both real-time needs and batch processing requirements Design fault-tolerant

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. The Data team within Plaid’s Fraud organization builds the machine learning systems that power Plaid’s fraud detection products, leveraging Plaid’s unique network data to identify and stop fraud before it happens. The team owns the full ML lifecycle—from feature pipelines and model training to production serving and monitoring—building reliable, scalable systems that deliver high-quality fraud detection as we grow to support hundreds of customers. As a Senior Machine Learning Engineer, you will own the development of high-performance feature computation and online inference pipelines that power production machine learning systems at scale. You’ll build robust observability, monitoring, and automated debugging capabilities, while leveraging AI-assisted tools to investigate complex system behavior and maintain high reliability. You’ll partner closely with ML Infrastructure, Data Science, and Product teams to execute critical technical initiatives and deliver scalable, high-impact ML solutions. Responsibilities: Build and scale machine learning systems that power a rapidly growing fraud detection product in a fast-paced environment. Solve complex technical challenges at the intersect

About the Company: Nivagen is a global company dedicated to enhancing lives by developing and providing cost-effective generic prescription drugs and over-the-counter products for the North American market. For over a decade, we've remained steadfast in our commitment to the core values of excellence, integrity, and respect for people. Our team of professionals collaborates tirelessly to pioneer advancements in manufacturing, distribution, and quality control, ensuring a holistic approach to healthcare. Through vertical integration of the pharmaceutical supply chain, cutting-edge technology, and unwavering dedication to excellence, we continually strive to redefine medication accessibility and affordability. We prioritize our employees' well-being by offering competitive pay, comprehensive benefits, and robust training and development opportunities. By investing in our workforce and fostering a culture of growth and support, we empower our team to drive innovation and make a positive impact in the healthcare industry. At Nivagen, our mission is clear: to make a meaningful difference in people's lives by delivering high-quality, affordable medications while upholding the highest standards of integrity and excellence. Job Location: Nivagen Pharmaceuticals 3900 Duckhorn Dr, Sacramento, CA 95834. About the Job: The Director of Engineering, Maintenance & Reliability is accountable for the technical performance, compliance, reliability, and lifecycle management of the site’s aseptic manufacturing assets, and operational technology. The operation manufactures sterile liquid products in multiple presentations, including prefilled syringes, vials, and preformed bags, using isolators, Restricted Access Barrier Systems (RABS), formulation and filtration tanks, aseptic filling and sealing equipment, classified cleanrooms, and critical utilities. This leader builds and directs the organization responsible for manufacturing and process engineering, automation and operational

As a Staff Software Engineer on Coder’s Agentic Engineering team, you’ll shape the systems behind our agentic development experience. You’ll work across the agent harness, integrations, and workflows that connect agents with real development environments. You’ll stay hands-on while setting the team's technical direction. You’ll lead complex work, make sound architectural decisions, and help other engineers do their best work. What you’ll do here Set technical direction across Coder’s agent harness, integrations, and workflows. Design and build production systems in Go, with work across React and TypeScript where needed. Evolve agent execution, tool use, context management, streaming, and long-running workflows. Extend our provider-agnostic architecture as models and capabilities change. Lead complex projects from early ambiguity through production. Raise the engineering bar through design reviews, code reviews, and technical mentorship. Partner with Product and Design on clear, useful agent experiences. Improve the reliability, performance, and operability of agentic systems. What we’re looking for Deep experience building and operating production software systems. Strong hands-on experience with Go. Experience with React and TypeScript. Hands-on experience building systems around LLMs and agentic workflows. Experience with model APIs, tool calling, context management, or agent loops. Strong distributed systems knowledge. Working knowledge of AWS. A track record of setting technical direction without formal authority. Strong architectural judgment and comfort working through ambiguity. Someone who makes the engineers around them better. Our tech stack Backend: Go, Postgres Frontend: TypeScript, React Infrastructure: AWS, Kubernetes Observability: Prometheus, Grafana CI/CD: GitHub Actions Bonus tacos if you have (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) Experience building coding agents, developer tools, or cloud development environm

As an Engineering Manager on Coder’s Agentic Engineering team, you’ll lead engineers building and evolving the systems behind our agentic development experience. You’ll help make agents more capable, reliable, and useful across real development environments. You’ll guide technical direction, grow the team, and keep execution sharp. You’ll work closely with Engineering, Product, and Design across the agent harness, integrations, and developer workflows. What you’ll do here Lead and grow a team within our Agentic Engineering organization. Set technical direction across the agent harness, integrations, and workflows. Stay close to the code and contribute to architecture and implementation decisions. Evolve agent execution, tool use, context management, streaming, and long-running workflows. Extend our provider-agnostic architecture as models and capabilities change. Partner with Product and Design to turn agent capabilities into useful developer experiences. Improve reliability, performance, and operability across agentic systems. Coach engineers, raise the technical bar, and create clarity around priorities and tradeoffs. What we’re looking for Experience managing and growing software engineering teams. Strong hands-on engineering experience with Go. Experience with React and TypeScript. Hands-on experience building systems around LLMs and agentic workflows. Experience with model APIs, tool calling, context management, or agent loops. Strong distributed systems knowledge. Working knowledge of AWS. Strong technical judgment and comfort working through ambiguity. A track record of helping engineers grow while maintaining a high execution bar. Our tech stack Backend: Go, Postgres Frontend: TypeScript, React Infrastructure: AWS, Kubernetes Observability: Prometheus, Grafana CI/CD: GitHub Actions Bonus tacos if you have (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) Experience building coding agents, developer tools, or cloud development enviro

At Scale AI, our mission is to accelerate the development of AI applications. For 10 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About our Enterprise Team: Our team owns the full deployment lifecycle of SGP in live customer environments — from initial rollout through long-term operational health. We work cross-functionally with customers, GTM, product, and infrastructure to ensure every deployment is production-ready, secure, and built to last. We’re looking for an Infrastructure Engineering Manager to help shape the future of AI-powered applications. In this role, you’ll bridge the gap between AI research and production, leading a team that is turning innovative prototypes into scalable, high-performance enterprise solutions. Your team will work on interactive AI applications, enterprise SaaS products, and platform capabilities that redefine how businesses leverage AI. We don't just ship and move on. We stay close to the customer experience, translating real-world deployment challenges into platform improvements, automation, and scalable playbooks that make every future rollout smoother than the last. If you're energized by solving complex technical problems at the intersection of customer impact and platform excellence, this is the team for you. Responsibilities: Define and execute the infrastructure roadmap aligned with business and engineering priorities. Lead the design and implementation of scalable, secure, and reliable infrastructure systems. Set and maintain SLAs/SLOs for platform uptime, performanc

At Datadog, we're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale, enabling seamless collaboration and problem-solving among Dev, Ops, and Security teams globally for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. APM at Datadog is on its way to redefine how users interact with their telemetry. We are integrating intelligence directly into troubleshooting workflows to help engineers find root causes faster, navigate complex distributed systems seamlessly, and optimize application performance with minimal cognitive load. APM provides deep visibility from end-user interactions to backend services and we are now expanding this foundation with new AI-driven insights, guidance, and automation. As a Senior Product Manager for APM, you will own product strategy and drive execution across Distributed Tracing, Performance Analysis, and Intelligent Troubleshooting. You will set direction for a critical area of the roadmap, work closely with senior engineering and design leadership, and influence how APM evolves across the broader observability platform. You'll be relied on to make sound, independent product judgment calls with limited oversight, mentor other product managers, and represent APM in cross-org and executive conversations. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What you will Do: Own the product strategy and long-term vision for a core area of APM, grounded in deep understanding of customers, their performance challenges, telemetry workflows, and the competitive landscape Lead strategic conversations with design partners and key customers to uncover complex p

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Team Description Reddit's Ads business is at an inflection point, and generative AI is reshaping how advertisers plan, build, launch, measure, and optimize campaigns. The Agentic Ads Experience team is building the next generation of advertiser-facing interfaces: campaign assistants, creative and ad copy generation, one-click campaign creation, audience discovery, conversational analytics, and optimization recommendations. This is a unique opportunity to join a fast-moving team shipping generative AI/agentic systems into a high-growth Ads product, where every launch has direct advertiser and revenue impact. Role Description As a Senior Software Engineer on the Agentic Ads Experience team, you will design, build, and ship AI-powered product experiences that change how advertisers work with Reddit Ads Platform. You will own features end-to-end: framing the problem, choosing the right combination of software, LLM calls, tools, orchestration, and guardrails, and driving them through rollout, measurement, and refinement. The ideal candidate is a strong product-focused software engineer with hands-on generative AI application experience, who has an opinionated point of view on where agents, workflows, skills, and retrieval belong, and who cares deeply about shipping reliable systems that advertisers actually trust. Responsibilities: Product Execution: Design and ship advertiser-facing AI features and platform (campaign assistants, creative generation, audience discovery, performance analytics, optimization recommendations) en

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role: We are looking for a Head of Field Engineering Operations to join our Revenue Operations team. You'll be a strategic partner to the VP of Field Engineering and build the systems, processes, and team that help our Field Engineering organization scale You will build and lead a team while constantly asking how we can use better tooling, smarter automation, and tighter feedback loops to make the organization faster and sharper. You will report to the VP of Revenue Operations. If you’re based within a pre-determined commuting distance of one of our offices (SF, NYC, or Austin), the role includes in-office anchor days on Monday, Tuesday, and Friday. For location-specific details, please connect with our recruiting team. What you will do: Design the processes, systems, and operating cadences that let Solutions Architects, Developer Success Engineers, Customer Success Engineers, Technical Account Managers, and Professional Services scale Build and lead the Field Engineering Operations team, and set team structures, role definitions, and engagement models as Field Engineering grows Run capacity planning, territory design, and resource allocation across the Americas, Europe, the Middle East and Africa (EMEA), and Asia-Pacific (APAC), in step with go-to-market (GTM) teams Own the pre-sales to post-sales lifecycle framework, including technical win and onboarding forecasts, go-live tracking, and consumption ramp measurement Define the Field Engineering metrics, dashboards, and health scoring models that show team performance, accoun

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. As a Staff Software Engineer on our Inference team , you will work end to end, identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research. Strong candidates should have familiarity with performance optimization, distributed systems, large-scale service orchestration, and intelligent request routing. Familiarity with LLM inference optimization, batching strategies, and multi-accelerator deployments is highly encouraged but not strictly necessary. Strong candidates may also have experience with: High-performance, large-scale distributed systems Implementing and deploying machine learning systems at scale Load balancing, request routing, or traffic management systems LLM inference optimization, batching, and caching strategies Kubernetes and cloud infrastructure (AWS, GCP) Pytho

Senior Post Silicon Validation Engineer (Bringup) Salary $156,500 - $211,700 + Phantom Equity + Benefits Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin which will play a central role in Graphcore's work building the future of AI computing. We are looking to hire Post-Silicon Validation Engineers to join our collaborative, cross-functional development team validating cutting edge, high performance AI chips and platforms. You will play a critical role in supporting new product introductions and post-silicon validation. Working within the Post-Silicon Validation team, you will be involved with bringing first silicon to life, functionally validating it and working closely with many other teams to help it become a fully characterised and working product, reporting project status/progress to program management on a regular basis. You will have the opportunity to, and be responsible for, leading, mentoring, and providing technical guidance to other engineering team members. In this role, you can leverage your experience and industry knowledge to architect and drive implementation of continuous improvements to test infrastructure and processes. The Post-Silicon Validation team sits within the Architecture and Validation team, we are responsible for validation of new silicon when it returns from manufacture, enabling and supporting the production SW and FW teams to bring up their software and also supporting the Silicon Characterisation team. Responsibilities and Dutie

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. We’re looking for experienced engineers who have shipped applied AI systems to production and want to define what the agent-native future looks like. We are building intelligence into the core of Linear, enabling the product to orchestrate coding, proactively move work forward, and power-up every software team. You’ll work closely with product and design to transform foundation models into structured, reliable workflows embedded deeply in the core of Linear. We care deeply about keeping Linear fast, intuitive, and opinionated—AI is no exception. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in the North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do Build AI-powered product features that feel native, fast, and delightful to use Work with product and design to prototype and iterate on intelligent workflows and user interactions Design backend services to power natural language interfaces, smart suggestions, agentic workloads, and more Optimize prompts, fine-tune model behavior, and evaluate performance Help to guide our agent platform, allowing third parties to bring agents into the core Linear experience

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. We’re looking for experienced engineers who have shipped applied AI systems to production and want to define what the agent-native future looks like. We are building intelligence into the core of Linear, enabling the product to orchestrate coding, proactively move work forward, and power-up every software team. You’ll work closely with product and design to transform foundation models into structured, reliable workflows embedded deeply in the core of Linear. We care deeply about keeping Linear fast, intuitive, and opinionated—AI is no exception. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in the North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do Build AI-powered product features that feel native, fast, and delightful to use Work with product and design to prototype and iterate on intelligent workflows and user interactions Design backend services to power natural language interfaces, smart suggestions, agentic workloads, and more Optimize prompts, fine-tune model behavior, and evaluate performance Help to guide our agent platform, allowing third parties to bring agents into the core Linear experience