Multiply Labs Logo

Multiply Labs

Robotics Software Engineer II

Posted 9 Days Ago
In-Office
San Francisco, CA, USA
130K-170K Annually
Mid level
In-Office
San Francisco, CA, USA
130K-170K Annually
Mid level
Develop and implement intelligent software for automated biomanufacturing systems, including machine interfaces, algorithm implementation, and hardware-software integration.
The summary above was generated by AI
Join the Future of Robotic Biomanufacturing!
 
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.

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.
 
We believe the future of biomanufacturing is robotic—closed, automated, and scalable—ensuring critical therapeutics are accessible to every patient who needs them.  
 
Why This Matters
 
We don’t just build robots; we build the infrastructure for the next generation of biologics manufacturing. Our technology allows biopharma companies to scale production without redesigning their science, drastically lowering regulatory hurdles and bringing costs down to a level where these treatments can actually reach patients.
 
The Stack & The Scale
 
The Mission: Build the world’s best robots to make life-saving therapies accessible to all.
The Technology: Advanced robotic orchestration, high-precision automation, cloud-integrated hardware-software systems, dextrous manipulation, and imitation learning.
The Location: Headquartered in San Francisco, CA.
The Backing: Supported by premier investors, including Casdin Capital, Lux Capital, and Y Combinator.

About the Role

    As a Robotics Software Engineer, you will be responsible for developing and implementing the intelligent software that powers our automated manufacturing systems. Working at the intersection of robotics and biopharma, you will collaborate with a world-class team to solve practical engineering challenges. This role is for a passionate, hands-on engineer who is eager to contribute to robust systems that have a direct impact on patient lives.

Responsibilities include:

    • Machine Interface & Feature Development: Develop and implement novel software interactions for our in-house designed machine interfaces. You will write production-ready code that enables our robotic arms to communicate with and operate a variety of bioprocess instruments across our manufacturing clusters.

    • Hardware-Software Integration: Bridge the gap between high-level robotic logic and low-level hardware execution. You will ensure that our UR arms can precisely manipulate and monitor custom hardware components within a mission-critical environment.

    • Core Algorithm Implementation: Implement and tune algorithms for trajectory planning, robotic interaction, and motion control, specifically optimized for the constraints of our bioprocess hardware.

    • Simulation & Validation: Use high-fidelity simulation environments (e.g., Isaac Sim, Gazebo) to validate new hardware interactions and develop automated test suites to maintain software robustness.

    • Cross-Functional Troubleshooting: Partner closely with the hardware team to identify, reproduce, and resolve system-level bugs that arise when software meets physical hardware.

    • Code Quality: Maintain high standards for code health through rigorous version control (Git), documentation, and active participation in peer code reviews.

Qualifications

    • Bachelor’s or Master’s degree in Computer Science, Robotics, Engineering, or a related discipline.

    • 1–4 years of professional experience developing software for robotic or complex electromechanical systems.

    • Proficiency in Python and a strong command of software engineering fundamentals (e.g., modular design, Git, CI/CD).

    • Practical understanding of robotics principles, including kinematics, coordinate transforms, and motion control.

    • Experience working with hardware communication protocols and a "systems-thinking" approach to debugging.

    • Excellent communication and problem-solving skills, with the ability to navigate the ambiguity of a fast-paced startup.

Preferred Qualifications

    • Hands-on experience with robotics simulation environments for testing hardware interactions.

    • Hands-on experience with Universal Robot (UR) arms, including integration and motion programming.

    • Experience working in a regulated industry (e.g., GxP, ISO standards) is a plus.

Physical & Working Conditions

    • Ability to reach, stoop, crouch, and kneel, including entering and working inside a robotic cluster for maintenance, cleaning, or intervention

    • Ability to lift up to 25 lbs (equipment, parts, tools) and up to 5 lbs overhead

    • Manual dexterity to use hand tools, manage cabling, and perform mechanical adjustments

    • Work primarily in a manufacturing area adjacent to a lab; must follow strict safety protocols (e.g., BSL-2) and maintain situational awareness

    • Potential exposure to hazardous materials, including biological agents and cryogenics, while servicing equipment

    • Required use of PPE (lab coat, safety glasses, gloves) for extended periods

    • Standard work schedule with occasional evenings, weekends, or on-call support for critical issues or time-sensitive maintenance

Travel

    Our headquarters is located in San Francisco’s vibrant Dogpatch neighborhood. This role may require 5-10% of domestic and international travel.

Perks & Benefits

    Total Rewards & Life at Multiply Labs
    • Competitive Compensation: Salary range of $130,000 – $170,000 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.

    • Come build the world’s best robots—and help make life-saving therapies accessible to all.

We actively seek candidates with diverse perspectives and lived experiences. We’re committed to building a team where everyone feels valued, respected, and empowered to do their best work.

Multiply Labs encourages candidates from all backgrounds to apply — even if you don’t meet every qualification. If you’re excited about our mission and think you can contribute, we’d love to hear from you.

Top Skills

Git
Hardware Communication Protocols
High-Fidelity Simulation Environments
Python
Robotics
Software Engineering Principles
Ur Arms
HQ

Multiply Labs San Francisco, California, USA Office

San Francisco, CA, United States, 94124

Similar Jobs

Yesterday
In-Office
San Francisco, CA, USA
125K-195K Annually
Mid level
125K-195K Annually
Mid level
Hardware • Semiconductor • Manufacturing
As a Robotics Software Engineer, you will develop software for semiconductor fabrication tools, tackling challenges like sensor fusion and motion control while bridging software and hardware domains.
Top Skills: CC++PythonRust
22 Days Ago
In-Office
Redwood City, CA, USA
150K-184K Annually
Mid level
150K-184K Annually
Mid level
Artificial Intelligence • Robotics • Software
Responsible for the robotics navigation stack including control, localization, mapping, path planning, and interaction decision making. Design, develop, test, and improve algorithms while managing project priorities and deliverables.
Top Skills: Kalman FilteringMobile Robot Navigation StackParticle FilteringPythonRosSlam
7 Days Ago
In-Office
Redwood City, CA, USA
140K-170K Annually
Mid level
140K-170K Annually
Mid level
Artificial Intelligence • Robotics • Software
Develop and optimize large-scale simulation tools for robotics applications, ensuring performance and reliability across environments, while collaborating with cross-functional teams.
Top Skills: AWSAzureC++CarlaDockerGazeboGCPIsaac SimKubernetesMapreducePythonSpark

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

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account