Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

The Recruiting Coordinator will schedule interviews, manage candidate pipelines, enhance recruiting workflows, support hiring managers, and maintain candidate communication.

Own product roadmap for Research Operations; design and improve systems for intake, prioritization, resource allocation, execution visibility, quality management, and operational planning. Partner with engineers, project leads, Production Operations, and researchers to build tools, standardize processes, establish metrics and dashboards, remove bottlenecks, and prioritize investments that scale research execution.

Own delivery of company-critical research and deployment initiatives: define scope, prioritize work, allocate resources, build execution plans, direct cross-functional execution, resolve risks and bottlenecks, run stakeholder communications, and improve operational systems as the organization scales.

The Build & Release Engineer will manage infrastructure and developer platforms, focusing on CI/CD systems, build reliability, and Kubernetes services to improve developer productivity and operational efficiency.

As an ML Infra Engineer, you will optimize and manage training systems for large-scale models, collaborating with researchers and engineers on infrastructure and experiment scalability.

As a Hardware Systems Intern, you will support hardware development, analyze reliability, develop tools, improve testing protocols, and assist in production operations.

The role involves integrating robot platforms into a fleet, defining and executing acceptance criteria, maintaining performance, and collaborating cross-functionally to improve system reliability.

Design and lead hardware architecture for electrical devices, integrate imaging systems, optimize wireless hardware, validate designs, and collaborate cross-functionally.

Deploy, debug, and iterate learned policies on physical robots across perception, policy, control, and hardware. Train and tune policies, curate data, build production-quality code, set up tests and data pipelines with operators, engage partners in deployment contexts, and translate research advances into reliable, real-world robotic systems.

Design and implement low-latency teleoperation interfaces and real-time video/streaming systems for on-site robots. Profile and optimize across drivers, networking, compute, and storage; build reliability, tracing, and debugging tooling; collaborate with researchers, hardware engineers, and operators to deploy dependable production robotics systems.