Develop and optimize learning-based robotic manipulation control stacks, train robotic policies, and minimize the sim-to-real gap while collaborating with a dedicated team.
Staff Robot Learning Scientist/Engineer
Company
Genesis is a global physical AI lab and full-stack robotics company. We build generalist robots to unlock unlimited physical labor, allowing humans to focus on creativity, curiosity, and what they love. We recently raised a $105M Seed round backed by Khosla Ventures and Eclipse, and we’re looking to expand our software and hardware teams rapidly.
What You’ll Do
- Develop and optimize a learning-based robotic manipulation control stack
- Design and maintain a teleoperation system with smooth, precise motion and low latency
- Train robotic policies for manipulation and locomotion with reinforcement learning and imitation learning
- Deploy robotic policies and diagnose latency or bottlenecks in the control pipeline
- Analyze and minimize the sim-to-real gap by co-optimizing simulation and real-world robot behavior
- Collaborate with a team of driven individuals committed to building general-purpose Physical AI
What You’ll Bring
- Passion for your craft and demonstrated excellence in robotics engineering
- Exceptional ownership and initiative—finding and solving problems independently
- Focus, attention to detail, patience, and a methodical approach to complex tasks
- Production-level expertise in modern Python or C++
- Extensive experience building and deploying real-world learning-based robotic systems (5+ years)
- Bonus: Hands-on experience troubleshooting and maintaining robotic systems across mechanical, electrical, and software components
Similar Jobs
Aerospace • Cloud • Digital Media • Information Technology • Mobile • News + Entertainment • Generative AI
Sell Hughes managed network and digital media solutions to large enterprise customers in the Western US. Hunt new logos, grow existing accounts, manage full sales cycle, craft account strategies, collaborate with marketing, and travel frequently (2-3 nights/week). Close complex, multimillion-dollar deals across SD-WAN, security, Wi‑Fi, VoIP and digital media.
Top Skills:
Digital SignageManaged SecurityMS OfficeSaseSd-WanVoipWi-FiWide Area Networking (Wan)
Machine Learning • Payments • Security • Software • Financial Services
Lead business analysis for Digital Identity projects: gather and document system requirements, define capabilities, create system flows, manage backlogs, roadmap and releases, mentor junior analysts, coordinate stakeholders, and drive process improvement within Agile frameworks.
Top Skills:
ConfluenceDynatraceJIRAKanbanMS OfficePostmanSafeScrumServicenowSoapui
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Develop, test, and maintain airplane performance databases and automation tools for Boeing commercial models. Perform takeoff, landing, and enroute performance analysis using SCAP and Enroute software, translate customer requests into database requirements, design and execute test plans, support airline customers on flight-planning data, and champion process and tool improvements.
Top Skills:
C#EnrouteFortranPythonScapSource Control
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
