Staff Software Engineer - Workloads

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at

www.coreweave.com .

We're proud to be a Living Wage accredited Employer.

About the Team

Launchables is CoreWeave's platform for building Physical Intelligence. We bring simulation, training and evaluation tools into a common platform, allowing robotics, autonomous systems and engineering teams to focus on their applications while Launchables handles common execution and infrastructure needs. We turn specialist Physical AI software into capabilities that researchers and engineers can use, adapt and build upon. Our work combines strong software engineering with applied domain knowledge to make complex workloads accessible, reproducible and useful in real-world environments. As a Staff Software Engineer, Workloads - Physical AI, you will develop engine integrations, application code, adapters, templates and developer tools that make specialist software available through Launchables. You will work directly with researchers and engineers to understand their tasks, assumptions, dependencies and expected outcomes, translating these into interfaces and configurations that preserve the capabilities they need. You will take ownership of how users configure, run, customise and evaluate workloads. This includes defining meaningful inputs, defaults, constraints and outputs; building command-line and API interfaces; and creating examples and documentation that help users extend existing templates or author their own. You will establish appropriate validation for packaging, execution and application outcomes, working with domain specialists to make evaluation criteria and their limitations clear. You will profile workloads to improve preparation time, GPU utilisation, concurrency and data movement while preserving the intended computation. You will also capture the inputs, versions, settings and execution conditions needed to reproduce runs, with logs, metrics and artefacts that help users diagnose failures, compare experiments and interpret results. Working alongside engineers responsible for the shared runtime and platform services, you will turn feedback from early users into better interfaces, defaults, tests and guidance. You will identify reusable patterns across integrations, shape shared platform capabilities, review designs and mentor colleagues. You will use coding agents and automation to accelerate development, applying the review, testing and domain judgement needed to ensure the resulting software behaves as intended.

Qualifications

Strong software engineering skills, demonstrated through dependable software or developer tools used by other people. Applied depth in at least one relevant area, such as robotics simulation, autonomous-vehicle evaluation, reinforcement learning, synthetic-data generation or engineering simulation. Experience making specialist or research software usable beyond its original author, including configuration, testing, documentation and diagnosis. Sound judgement about experimental assumptions, evaluation criteria, reproducibility and the conclusions a result supports. Familiarity with containerised execution and experience tracing problems across application and infrastructure boundaries. Comfortable learning unfamiliar tools and domains, working closely with specialists and recognising when their expertise is needed. Evidence of improving shared tools or engineering practices across multiple projects, with clear reasoning about what should be common and what should remain application-specific. Preferred Skills: Experience developing software in Python, Go or C++. Familiarity with simulation and machine-learning frameworks. Experience profiling GPU workloads and identifying performance or resource bottlenecks. Experience with Kubernetes or workflow orchestration. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You enjoy turning specialist Physical AI software into dependable tools that other researchers and engineers can use independently. You care about making experiments understandable and reproducible, with clear evidence of what their results do and do not establish. You combine hands-on engineering with curiosity about unfamiliar domains, and enjoy helping colleagues build reusable, high-quality systems. We welcome relevant experience from industry, research engineering and academia. We are interested in what you have built, how others use it and the judgement you brought to making it work. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by so