Software Engineer Distributed Systems Jobs

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role The Storage team owns the distributed infrastructure that transforms every Verkada camera into an intelligent, self-contained recording device. We are the experts in edge storage, responsible for designing and optimizing the system that manages video data directly on the camera. Our mandate is to guarantee the unmatched reliability, endurance, and security of the local storage media, ensuring video is preserved instantly and securely, even during network outages. We deliver the efficiency required to store petabytes of high-quality video across millions of deployed cameras, making sure every byte is stored reliably and accessible instantly. As a System Software Engineer (Storage), your work will directly shape how millions of people rely on the on-camera storage every day to stay safe. You’ll own diverse topics on the storage stack,

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: You will be part of a team that owns the Process Query Engine which is an analytical database and our core product for process mining that enables our customers to interactively mine enterprise-sized data sets. In order to handle the strong growth of our customer base and their demands, we are continuously expanding our Engine domain and heavily invest in the performance and scalability of our engine. The Role: For the Core squad of our Process Query Engine team, we are looking for a Software Engineer with solid experience in system programming and the skills to build a highly parallelized and distributed database with modern C++ and Java. As part of a talented engineering team, you’ll develop and implement new concepts and algorithms for our Process Query Engine, take ownership of our solutions to increase reliability and performance, and drive initiatives to shape future innovations. The work you’ll do: Develop new concepts and algorithms for data management and query execution Challenge and benchmark our solutions using performance engineering principles Shape and contribute to our development and maintenance processes Communicate and coordinate with stakeholders and customers Take responsibility for the performance, sc

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Location: London, Lisbon, or Austin - (Hybrid) Join the team helping shape the future of the Internet. We’re building high-performance systems that handle a quarter of the Internet’s traffic . Our work influences open standards (like QUIC, MASQUE, and ECH), involves close collaboration with the IETF, and pushes the boundaries of what's possible in networking and security. You don’t need to be an HTTP or cryptography expert to join — we’re looking for ex

About the Team The OpenAI Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model 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 constraints of physical systems to improve peoples’ lives. About the Role As a Research Engineer, Distributed Data Systems, you will design and scale the infrastructure that powers large-scale multimodal training and evaluation at OpenAI. You’ll manage distributed data pipelines, collaborate closely with researchers to translate requirements into robust systems, and harden pipelines that serve as the backbone for OpenAI's rapid iteration cycles. We’re looking for engineers who are detail-oriented, have strong experience with distributed systems, and excel at building reliable infrastructure in high-stakes environments. 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: Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security. Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient. Partner with researchers to deeply understand requirements and translate them into production-ready systems. Harden, optimize, and maintain critical data infrastructure systems that power multimodal training and evaluation. You might thrive in this role if you: Have strong experience with distributed systems and large-scale infrastructure with a strong interest in data. Are detail-oriented and bring rigor to building and maintaining reliable systems. Demonstrate excellent software enginee

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Atlanta, US Austin, US Denver, US New York, US San Francisco, US Seattle, US Washington DC, US Canada About the Role The Security Platform team is an infrastructure/developer tools group tasked with building and operating powerful, resilient, and secure infrastructure and systems that enable other engineering teams to deliver products to our customers efficiently and securely. We are responsible for secrets management, internal certi

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Atlanta, US Austin, US Denver, US New York, US San Francisco, US Seattle, US Washington DC, US Canada About the Role The Security Platform team is an infrastructure/developer tools group tasked with building and operating powerful, resilient, and secure infrastructure and systems that enable other engineering teams to deliver products to our customers efficiently and securely. We are responsible for secrets management, internal certi

We deliver foundational systems that shape the future of how technology is used in a top performing quantitative equity fund that manages over $78+ billion USD in financial assets. This is a fantastic opportunity in the exciting intersection of finance and technology where investment decisions are made using technology. Quantitative equity funds use programmed investment strategies and as a result, our technology team is crucial to its success. The team is headquartered and deeply rooted in West Coast Vancouver. We place high value on maintaining an entrepreneurial spirit and creating a culture where each of us has opportunities to succeed. What You Will Do The technology infrastructure team plays an essential role through innovative technologies on our hybrid (on-premise and cloud based) platform: distributed computing, petabyte-scale data storage, containerization, non-traditional high-performance databases, process orchestration, monitoring, data visualization and DevOps. You own the entire technology infrastructure life cycle: Engineer and support software and systems infrastructure. Introduce new foundational technologies that advance our software engineering capabilities to the next level. Collaborate with our software development teams on support issues and improvements to our infrastructure tools, processes, and software. Act as a conduit between our application development teams, and IT, network security, and other stakeholders to align priorities and translate business requirements into technical designs. Improve systems infrastructure reliability. Gather and analyze metrics from operating systems and applications to assist in performance tuning, fault finding and business continuity planning. Design, plan and implement solutions in an entrepreneurial spirit. What You Bring Programming Knowledge – you have an undergraduate, graduate, or post-graduate degree in a computer-related field OR exceptional programming skills gain

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the Role: We are building the high-performance inference platform that serves Grok to millions of users every day with lightning speed and perfect reliability. As a Member of Technical Staff - Inference, you will design and optimize large-scale model serving systems end-to-end. You will own everything from distributed infrastructure (global KV cache, continuous batching, load balancing, auto-scaling) to deep low-level optimizations (GPU kernels, quantization, speculative decoding, tail latency). This is a high-impact role where your work directly determines how fast and reliably users interact with Grok at massive scale Responsibilities: Architect and implement scalable distributed infrastructure for model serving (load balancing, auto-scaling, batch scheduling, global KV cache). Optimize latency and throughput of model inference under real production workloads. Build reliable, high-concurrency serving systems that serve billions of users with 100% uptime, 0% error rate, and excellent tail latency. Benchmark, fine-tune, and accelerate inference engines (including low-level GPU kernel work and code generation). Develop custom tools to trace, replay, and fix issues acr

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. RESPONSIBILITIES: Design, build, and implement a large-scale distributed system that powers one of the world's largest supercomputing clusters. Dive into the low-level stack to profile, debug, and optimize performance across diverse systems, including GPUs, Linux kernel, networking, and filesystems, to achieve peak efficiency. Collaborate on hardware, software, and algorithm co-design to push the boundaries of AI training. Maintain and innovate on our codebase to ensure scalability and reliability. Develop tools to enhance team productivity and streamline workflows. BASIC QUALIFICATIONS: Systems programming experience in C, C++, or Rust Computer systems fundamentals with a grasp of how computers execute code from transistors to high-level applications. Hands-on expertise with Kubernetes (K8s), including cluster architecture, pod lifecycle, networking (CNI), storage (CSI), service mesh, and production-grade operations PREFERRED SKILLS AND EXPERIENCE: Collaborate in a fast-paced, open environment to design and foundational systems. Strong debugging skills across the full stack — from kernel and OS up through container orchestration layers Deep knowledge of operating systems intern

About the team DoorDash Labs is an independent robotics group within DoorDash working on autonomous solutions for the core business. This is the team that builds Dot, our self driving delivery robot designed from the ground up. If you are passionate about deploying autonomous technology at scale, then we want to talk to you. About the Role As a software engineer on the data visualization team you will own the applications used to introspect robot data. Bridge the gap between sensors, logs, diagnostics, telemetry, mission intel, and a diverse set of users across the Dot team. You will be expected to architect and develop systems with a high degree of autonomy. You will set roadmaps, identify opportunities for new systems, and execute. The applications you build should be intuitive, practical, and delightful to use. This role requires end to end ownership of both backend and frontend systems. You're excited about this opportunity because you will… Build tools that help users across autonomy, operations, product, and executive teams understand robot behavior both on-road and in simulation Expand upon extensive web tooling for interaction with time series data, video playback, and 3D scene reconstruction Maintain a robust C++ visualization framework for transforming robot data into informative and beautiful 2D and 3D web output Develop a portfolio of data introspection capabilities to support an expanding fleet of next generation robots Maintain a high bar for quality and take pride in your work! We’re excited about you because you… Are passionate about web technologies, game development, 3d computer graphics Have an eye for UX and empathy with a wide range of users Have experience in Robotics, self driving, scientific visualization, simulation High performance browser technologies (WebCodecs, Web Workers) 3D technologies (WebGL, three.js , Open3D) or game engines Distributed/batch compute (Ray, Temporal, Buildkite, Docker, Kubernetes) AWS infra (ECR, S3, lambda, api-ga

We’re looking for a Software Engineer to architect and build backend systems that enforce data privacy and automate compliance at scale. You’ll work closely with product, infrastructure, security, and legal teams to embed privacy-by-design into our data and access layers. This is a hands-on, high-impact role for an experienced engineer who is passionate about protecting user data while enabling innovation. What You’ll Do Design, build, and operate backend services that enforce policy-driven data access, lifecycle controls, and privacy protections. Develop distributed authorization and identity-aware enforcement mechanisms integrated directly into data services and control planes. Implement auditability, policy hooks, and enforcement observability to ensure compliance is continuously verifiable. Partner with Security, Legal, and Compliance to convert privacy requirements into scalable technical designs and developer-friendly APIs. Harden data platforms and backend services through schema-level controls and data handling constraints by default. Collaborate with infrastructure teams to ensure consistent enforcement across systems while minimizing duplicated implementations. Contribute patterns, libraries, and education that elevate trustworthy data access patterns across the organization. You Might Thrive in This Role If You Have 5+ years of industry experience building and operating backend or infrastructure systems in production. Strong software engineering fundamentals , with fluency in at least one major programming language (e.g., Python, Go, Rust, C++, Java). Experience with distributed authorization, RBAC/ACL systems, encryption-based access, or policy engines. Familiarity with global privacy regulations and their architectural implications. Ability to influence and collaborate with teams across legal, compliance, product, and engineering. A bias toward practical, impactful solutions that balance privacy protections with product needs. Nice to Have Experience wi

NVIDIA is at the forefront of the generative AI revolution, building the software and systems that power the world’s most advanced large language model workloads. We are looking for a Software Engineer focused on bring-up, triage, benchmarking, analysis, and optimization of distributed training and inference workloads across NVIDIA GPU platforms at the largest scales we run. In this role you will help bring up, benchmark, and debug distributed LLM workloads on multi-GPU and multi-node deployments, and own the design and implementation of the benchmarking tooling, automation, and debugging workflows that support them. This is a hands-on role for an engineer who enjoys deep technical problems across deep learning systems, GPU performance, distributed computing, and large-scale operations. What you’ll be doing: Bring up, validate, and debug large-scale AI clusters, infrastructure, and end-to-end workloads. Bring up, tune, and benchmark AI pre-training, post-training, and inference workloads using PyTorch, NeMo / Megatron, TensorRT-LLM, and adjacent NVIDIA AI software stacks. Perform root-cause analysis of failures in large distributed environments Contribute to the resilience and failure-attribution tooling that detects, triages, and attributes node, fabric, and workload failures across the cluster. Build and maintain repeatable benchmark suites, automation, acceptance criteria, and qualification workflows on new platforms. Tune runtime settings, communication parameters, and deployment configurations in close partnership with framework, systems, and platform teams. Deliver actionable, data-driven recommendations based on profiling, benchmark results, and cluster characterization. What we ne

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 . Staff Software Engineer (EAA) The Customer Experience (EAA-CX) sub-organization within Coinbase's Enterprise Applications and Architecture (EAA) group builds and operates the secure, Tier-1 platforms that power internal investigative and support workflows for approximately 7,000 specialists across CX, Compliance, Legal, Global Investigations, and Trust and Risk. As a Staff Software Engineer, you'll operate as a technical anchor across 8 globally distributed EAA-CX engineering squads, identifying high-leverage AI and developer-experience opportunities, architecting solutions on Coinbase's production AI infrastructure, and driving platform excellence that raises Tier-1 engineering quality across the portfolio. What you'll do: Own the EAA-CX AI maturity and developer-experience roadmap in partnership with engineering leadership, embedding with squads to surface opportunities, prototyping on Coinbase's existing AI platform, and driving adoption through working demos and feedback loops. Lead platform excellence workstreams that improve reliability, observability, change-failure rate, and operational readiness for Tier-1 systems, partnering with engineering managers to ensure practices persist on the teams. Define build-versus-buy strategy for developer-experience and AI tooling across EAA-CX, evaluating what to build internally, adopt from partner teams, procure from vend

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Lisbon, Portugal Role Summary Cloudflare MCP Server Portals give organizations a secure, centralized way to connect AI agents to internal and third-party tools. As a Systems Engineer on the MCP Portals team, you will build and operate the distributed systems that authenticate users, manage OAuth credentials and sessions, enforce Zero Trust policies, and proxy MCP traffic across Cloudflare's global network. You will own scoped

About the Team The Storage organization builds and operates the online stateful systems and abstractions that DoorDash Engineering depends on: reliable, efficient, secure, and easy to use. Within Storage, the Distributed Key Value team owns the storage platform that powers business-critical workloads across DoorDash, Wolt, and Deliveroo. These systems sit on the Tier-0 critical path. They serve millions of QPS across multiple regions and underpin how hundreds of engineering teams build reliable systems at massive scale. About the role DoorDash's storage abstraction platform is a unified data-access layer that sits in front of our databases and decouples application teams from the underlying storage engines, similar to modern data-gateway and key-value / time-series data-abstraction platforms. Nearly every request that touches persistent data flows through it. As DoorDash scales 10x–100x across new verticals, global expansion, and acquisitions, this platform is where the hardest distributed-storage problems live — latency at the tail, request routing, and reliability under exponential load. We're hiring a Staff Software Engineer to be the domain specialist for the storage abstraction platform: a deep, opinionated technical leader who owns the reliability, performance, and correctness of the platform at scale, sets its technical direction, and raises the execution bar across the storage organization. You must be located in the New York Metro Area, Bay Area or Seattle for this hybrid position. You will report to the Engineering Manager on our Distributed Key Value team within the Storage organization. You're excited about this opportunity because you will… Own the reliability, performance, and correctness of the storage abstraction platform at scale, independently leading resolution of mission-critical issues in ambiguous, high-pressure situations. Set technical direction for the platform — the storage abstraction and data-access layer, provider model, caching, and rou