• Collaborate cross-functionally with various stakeholders including engineering, supply chain, sales, and operations to offer and deliver integrated, customer-centric solutions • Support product lifecycle management (from market assessment through execution) • Drive global engagement through occasional travel to customers, suppliers, and key industry conferences • Additional responsibilities may be assigned in support of broader Westinghouse strategic initiatives, offering a high-impact opportunity to influence both operational execution and long-term growth

• Develop real-time computer vision pipelines for object detection, classification, and multi-object tracking • Build sensor fusion systems combining EO/IR, multispectral, and other sensor inputs into a unified operational picture • Design, train, evaluate, and optimize machine learning models for low-latency edge deployment • Optimize inference performance using techniques such as pruning, quantization, TensorRT, and custom kernels • Build and maintain datasets, synthetic data generation pipelines, labeling workflows, and continuous model retraining processes • Establish evaluation metrics and testing frameworks under operational conditions • Deliver processed perception data (position, velocity, identity, uncertainty) to operator interfaces and control systems • Develop backend services, APIs, and integration layers supporting the perception stack • Collaborate with hardware engineers on cameras, sensors, optics, and embedded systems • Troubleshoot and resolve real-time performance issues in production environments

• designing, developing, testing, and deploying software applications • collaborate with project stakeholders to understand functional and non-functional requirements • promote a collaborative team environment • responsible for planning work estimation and forecasting • adhere to architecture, design, implementation, security standards and best practices • investigate and propose solutions to development and design problems • conduct analysis to determine integration needs • prepare technical documentation • write high-quality code • implement unit and integration tests • participate in code reviews • develop reusable software building blocks • improve performance of existing software by diagnosing and resolving critical issues • establish development practices and processes • manage and mentor software engineers

Role Description SkyPilot's power only matters if it's a joy to use. We're looking for a product engineer to lead full-stack, user-facing features across SkyPilot's open-source and commercial offerings — the dashboard, the CLI and the overall developer experience — owning them end to end and close to users. You own how SkyPilot feels to use, from a new user's first job to a power user's daily workflow. - Own user-facing features end to end: - the dashboard (cluster status, job logs, GPU utilization, quotas) - the CLI and YAML experience - Devspaces - onboarding - from ideation to shipping and iterating on user signals - Drive growth and delightful UX: - understand what makes features useful and sticky - own everything from frontend design to backend integration - Stay close to users: - run tight feedback loops with our open-source community and customers - turn what you hear into shipped improvements - fast Qualifications - Great product taste: an unusually good eye for delightful products, and a knack for making complex, technical products feel simple. - You've built full-stack product features — ideally SaaS / cloud platforms from zero to one — that real users depend on. - Familiar with best-in-class product tooling — e.g. NextJS, TypeScript, React, FastAPI, Python. - You move fast and close to users, with judgment for what to build and what to cut. - Experience with developer tools or a technical audience, a strong design sensibility, or open-source / building-in-public experience. Benefits - Competitive compensation and equity - Comprehensive medical, dental, vision coverage for you and your dependents - The chance to work with some of the best minds in cloud, distributed, and AI systems — with significant autonomy and ownership. - A front-row seat at the latest open-source infra startup from Berkeley (lineage: Databricks, Anyscale). - Gourmet lunch & dinner for the team to do their best work Company Description SkyPilot accelerates the world's most ambitious AI teams. Every hour they spend fighting infrastructure is an hour the frontier doesn't move — so SkyPilot turns fragmented compute across clusters into one optimized, highly available and easy-to-use pool: a single "AI supercomputer." SkyPilot (10k+ GitHub stars, 14M+ downloads) is deployed at 100s of companies — from Fortune 500s to top AI-natives like Abridge, Applied Compute, Mistral, Unconventional AI, H Company, and Nubank — with usage growing exponentially. Born in the UC Berkeley lab behind Spark and Databricks, our growing team includes top-tier talent from Databricks, Google, Berkeley, MIT, CMU, and Cornell.