Multiply Labs
Senior / Staff Robotics Software Engineer
San Francisco · Staff+
Sponsorship not specified$160k-$250kDetected 280 days ago
PythonAlgorithmsGitCI/CDMachine LearningTensorFlowPyTorchComputer VisionRoboticsTest AutomationCommunicationCollaborationProblem SolvingMentoringGxP
About the role
- As a senior member of our Robotics Software Engineering Team, you will be a key technical leader responsible for the intelligent software that powers our automated manufacturing systems.
- Core Algorithm Development: Implementing and optimizing sophisticated algorithms for trajectory planning, robotic interaction, motion control, and integrating data from various sensors.
- Cross-Functional Collaboration: Working closely with mechanical and system software teams to integrate and troubleshoot complex, system-level robotics challenges.
Responsibilities
- Why This Matters We don't just build robots; we build the infrastructure for the next generation of biologics manufacturing.
- Build the world's best robots to make life-saving therapies accessible to all.
- Working at the intersection of robotics and biopharma, you'll collaborate with a world-class team to solve complex challenges.
- Referral bonuses for helping us build a world-class team.
- Great people, meaningful work, and a team that genuinely believes in what we're building.
- Come build the world's best robots-and help make life-saving therapies accessible to all.
- We're committed to building a team where everyone feels valued, respected, and empowered to do their best work.
Requirements
- Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related discipline.
- Expertise in Python and a strong command of software engineering fundamentals (e.g., version control with Git, automated testing, CI/CD).
- Hands-on experience with robotics simulation environments (e.g., Isaac Sim, Gazebo, PyBullet).
- Experience working in a regulated industry (e.g., GxP, ISO standards).
- 5+ years of professional experience developing software for robotic or complex electromechanical systems.
- Deep understanding of robotics principles, including kinematics, dynamics, motion planning, and control theory.
- Experience leading cross-functional projects and a demonstrated ability to deliver on technical roadmaps.
- Excellent communication, collaboration, and problem-solving skills, with comfort in a fast-paced startup environment.
- Nice to Haves
- Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow) and their application to robotics (e.g., computer vision, imitation learning).
- Total Rewards & Life at Multiply Labs
- Competitive Compensation: Salary range of $160,000 - $250,000 a year plus meaningful early-stage equity. We want our team to have a real stake in the future we're building.
- Premium Health: Premium Medical, Dental, and Vision plans with subsidies for child dependents.
- Wealth Building: 401(k) with a 4% company match to help you plan for the long term.
Compensation
- Salary range of $160,000 - $250,000 a year plus meaningful early-stage equity.
- We want our team to have a real stake in the future we're building.
- Wealth Building: 401(k) with a 4% company match to help you plan for the long term.
- Pre-Tax Commuter Benefit: Pay for eligible transit and parking with pre-tax dollars to save on commuting costs.
- No Set Hours: Set your own schedule in alignment with your manager and team. We hold a high bar, measuring success by impact and outcomes - not hours logged.
Benefits
- Flexible PTO and 12 Paid Holidays, trusting you to manage your time and recharge when you need it.
Company info
- 401(k) with a 4% company match to help you plan for the long term.
- Multiply Labs is a robotics company on a mission to solve a significant bottleneck in modern medicine: the manufacturing of life-saving advanced biologics, from gene and cell therapies to antibodies and more.
- If you're excited about our mission and think you can contribute, we'd love to hear from you.
Visa & Work Authorization
- H-1B and Green Card sponsorship available for exceptional talent.
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This listing is sourced directly from Multiply Labs's careers page and normalized into a canonical job model.