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’re building the essential infrastructure for next generation biologics. Our technology enables biopharma companies to scale production without redesigning their science, reducing regulatory hurdles and lowering costs so these treatments can reach more 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
Responsibilities
Own the cloud services behind our product end to end, including data ingestion from the robots, disaster recovery, our customer-facing API, and internal platforms, with high availability and sensible cost
Maintain and improve the build system and CI/CD pipelines
Scale our deployment and device-management systems from a single robot cluster to many clusters across customer sites, including firmware and differences in hardware between clusters, through customer firewalls and unreliable networks
Lead the company through SOC 2 and ISO 27001, and own the controls behind them (access, secrets, network segmentation, audit trails), keeping every deployed change traceable under GMP and 21 CFR Part 11
Act as our technical counterpart to customers' IT and security teams on network requirements, security reviews, and remote access to our systems on their sites
Build test and release automation, and write the release policies (what gets tested, who signs off, how a change rolls out) that a GMP customer can rely on
Build the infrastructure for high-fidelity robot simulation in NVIDIA Isaac Sim, including GPU compute and running simulation as part of testing
Set direction for infrastructure across the software org, review designs, and mentor engineers as the infra counterpart to the robotics software team
Qualifications
8+ years building software systems, with a substantial part of that owning infrastructure or deployment
Designed and built a non-trivial system yourself (a deploy or rollout system, a device agent, an orchestrator, a provisioning pipeline) and can explain its tradeoffs, failure modes, and what you would change
Experience shipping software to computers you don't fully control: robots, vehicles, IoT or edge devices, or on-prem installs at customer sites
Have taken a company through SOC 2 or ISO 27001, or owned a major part of an audit
Strong in Python, with deep Linux and networking skills: systemd, packaging, and debugging a machine you can only reach remotely
Solid AWS and infrastructure-as-code experience (Terraform or CloudFormation), and enough Docker and Kubernetes to choose when not to use them
Clear writing and design docs; comfortable leading technical conversations with customers' IT and security teams, owning several projects at once, and sharing on-call
Robotics, AV, industrial automation, or lab automation background
Experience in regulated environments (GMP, FDA, ISO 13485)
Firmware update pipelines, embedded Linux (Yocto, Mender, RAUC, OSTree), or hardware-in-the-loop testing
Nice to Haves
GPU infrastructure or simulation at scale (Isaac Sim, Omniverse, or simulation running in CI)
Open-source projects you've written or maintained
Physical & Working Conditions
Perks & Benefits
Total Rewards & Life at Multiply Labs
Competitive Compensation: Salary range of $175,000 - $230,000 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.
Our headquarters is located in San Francisco’s vibrant Dogpatch neighborhood. This role does not require regular travel. Occasional travel may be expected on the same basis as the rest of the Software Engineering team (e.g., team offsites, occasional on-site support needs).
