Senior / Staff Robotics Software Engineer
Team: Robotics Software
Location: San Francisco
Commitment: Full Time
Workplace Type: onsite
Salary:
Today, these therapies are produced through manual, labor-intensive processes. Costs are extremely high—often $500K–$2M per patient—limiting access to only a small fraction of those who need them.
As product complexity increases and the cost of failure and scientific labor rises, the industry is shifting toward automation. Robotics and AI are making automated biologics manufacturing feasible, reliable, and economically scalable.
Responsibilities include:
- System Design & Architecture: Designing and implementing production-ready software for our robotic platforms, spanning from low-level hardware communication to high-level robotic logic and system behaviors.
- Core Algorithm Development: Implementing and optimizing sophisticated algorithms for trajectory planning, robotic interaction, motion control, and integrating data from various sensors.
- Simulation & Testing: Building and maintaining high-fidelity simulations for validation and contributing to our automated test suites (CI/CD) to ensure software robustness.
- Cross-Functional Collaboration: Working closely with mechanical and system software teams to integrate and troubleshoot complex, system-level robotics challenges.
- Mentorship & Best Practices: Mentoring other engineers and championing software best practices to elevate the entire team.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Robotics, Engineering, or a related discipline.
- 5+ years of professional experience developing software for robotic or complex electromechanical systems.
- Expertise in Python and a strong command of software engineering fundamentals (e.g., version control with Git, automated testing, CI/CD).
- 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
- Hands-on experience with robotics simulation environments (e.g., Isaac Sim, Gazebo, PyBullet).
- Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow) and their application to robotics (e.g., computer vision, imitation learning).
- Experience working in a regulated industry (e.g., GxP, ISO standards).
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.
- Pre-Tax Commuter Benefit: Pay for eligible transit and parking with pre-tax dollars to save on commuting costs.
- Parental Support: Robust Paid Parental Leave to support your family’s newest additions.
- True Flexibility: We offer Flexible PTO and 12 Paid Holidays, trusting you to manage your time and recharge when you need it.
- 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.
- Office Perks: A vibrant SF office culture featuring catered team lunches, stocked kitchen, and frequent team events.
- H-1B and Green Card sponsorship available for exceptional talent.
- 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.
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