About the RoleWe are building a closed-loop discovery engine: AI models that propose hypotheses, high-throughput experiments that test them against living systems, and a feedback cycle that turns experimental results back into better models. Robots are how that loop closes in the physical world.
This is a software engineering role with a robotics mandate. Most of the work is building systems: data pipelines, services, interfaces, evaluation harnesses, and the control and learning stack that drives our manipulation station. You will also own the hardware side of that station, from mounting and calibration through deployment, and you will write plenty of ordinary application and infrastructure code along the way.
We are open to a range of experience levels. A strong master's graduate with a portfolio of things they have actually built is as interesting to us as someone senior from a top robotics company. We operate on the timescale of days, not weeks.
You will- Build the software that makes the robot useful: data infrastructure, services, APIs, and interfaces that our scientists actually run
- Build the teleoperation and data-capture pipeline that turns demonstrations and routine lab work into clean, labeled training data
- Own our robotic manipulation station end to end, including dexterous manipulators, depth cameras, and VR teleoperation, from mounting and calibration through the control stack
- Train, evaluate, and deploy manipulation policies for real laboratory tasks, starting with liquid handling and plate manipulation, and establish success metrics for them
- Stand up simulation for the station so policies can be developed and stress-tested before they touch hardware
- Integrate the robot and the data it produces into our broader AI agent harness
- Automate real experimental workflows alongside the scientists who run them today, and measure what the automation actually saved
- Work across our general engineering stack: tooling for scientists, internal applications, pipelines, and cloud infrastructure
You're a good fit if you have- Strong software engineering fundamentals: architecture, version control, testing, deployment, and systems other people can run
- Experience building full-stack systems, from database and backend infrastructure through to the interfaces people use
- Shipped real robot software: manipulation, motion planning, control, or learned policies, in ROS/ROS2 or an equivalent stack you can defend
- The ability to provision, deploy, and manage cloud resources such as Docker, AWS, and bare metal
- Fluency in leveraging AI coding tools such as Claude Code, Codex, and Grok to build software quickly
- Comfort with hardware: mounting, wiring, calibration, and the patient debugging of robots
- A bachelor's, master's, or doctoral degree in computer science, robotics, electrical or mechanical engineering, or a related field
- A portfolio of systems you took from nothing to working, ideally with video
- The judgment to decide what to build next when nobody is there to tell you
Bonus points for- Imitation learning in practice: behavior cloning, diffusion policies, ACT, or vision-language-action models
- Teleoperation rigs, VR controllers, or other demonstration-collection systems
- Simulation and sim-to-real transfer (MuJoCo, Isaac Lab, or similar)
- Familiarity with our stack (Postgres, TypeScript, React, modern backend and frontend frameworks)
- Experience building infrastructure and tooling around AI processes and agents (post-training, MCP servers, skills, automations, harnesses)
- Laboratory automation: liquid handlers, plate readers, SiLA or OPC UA, or scheduling software
- Experience with multimodal data, video pipelines, or large-scale data capture
- Curiosity about biology
What we offer- Scope: You will set the direction, choose the stack, and specify what we buy next. Within a year you should be able to point at a physical system that did not exist before you arrived.
- Impact: You will play a key role in the work that drives our mission to cure age-related diseases. As an early hire, you will help shape the direction of the company, and your efforts will directly advance therapies with the potential to transform healthcare.
- People: You will work alongside a team of top-tier scientists and engineers, and directly with our founders, Dr. Felix Wong and Prof. Max Wilson. Our alumni have co-authored high-impact scientific papers and gone on to highly successful career trajectories.
- Flexibility: We cultivate an environment that is respectful of personal life and less rigid than academia or a large company. Joining us is like joining a family. We don't expect you to hang out with us outside of normal working hours, but it's likely you'll occasionally do so anyway because we're so fun.
Location & logisticsThis onsite role is located at Redwood LIFE in Redwood City, CA, a modern and stunning life sciences complex in the Bay Area.
Visa sponsorship available where applicable. We'll work with you to make it happen.
Timing: search underway November to January 2027; target start January 2027 to February 2027.Compensation & benefitsSalary band: $140K to $230K depending on experience and level, plus substantial equity and a performance bonus, commensurate with experience and the cost of living in the San Francisco Bay Area.
Integrated Bio offers all its employees exceptional benefits, including full health insurance coverage for you and a dependent, 401(k) plans, free lunch, vacation and sick days, and other longevity-related benefits.
