Software Engineer, Robotics

Responsibilities

You will build and maintain the software and hardware infrastructure for robotic manipulation stations used in high-throughput biological discovery. This includes developing data pipelines, control stacks, and manipulation policies to automate experimental workflows.

Requirements

Candidates should have strong software engineering fundamentals and experience shipping real robot software using ROS/ROS2 or equivalent stacks. A degree in computer science, robotics, or engineering is required, along with a portfolio demonstrating hands-on system building.

Skills

• Robotics
• Software engineering
• ROS
• ROS2
• Python
• Manipulation
• Motion planning
• Control systems
• Docker
• AWS
• Data pipelines
• Teleoperation
• Machine learning
• Hardware integration
• Simulation
• Laboratory automation

Benefits

• Health insurance
• 401(k) plans
• Free lunch
• Vacation days
• Sick days
• Equity
• Performance bonus

About this role

About Integrated Bio
Integrated Bio (integratedbio.com) is a physical AI company developing multimodal biological datasets and AI for drug discovery, focusing on aging and age-related diseases. We are risk-takers, and we bet heavily that the future of societal health lies at the intersection of biological discovery, drug design, and AI. Our growing, star-studded team includes accomplished industry veterans and scientists from top universities, including Harvard, Princeton, and UCSB. Our team has deployed large-scale scientific discovery systems, brought drug candidates to the clinic, and published in Nature, Science, and Cell. We have accomplished all of this with no egos, and we are growing fast.
About the Role
We 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 & logistics
This 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 October to December 2026; target start December 2026 to February 2027.
Compensation & benefits
Salary 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.
Integrat...

About Integrated Biosciences, Inc.

Biotechnology Research · 11-50 employees · headquartered in Redwood City, California · founded 2022