Software Engineer, Robotics

Integrated Biosciences, Inc.
Redwood City, CA
On-siteCareer-pivot friendly

Who this role is best for

Geared toward candidates comfortable with building end-to-end robotic systems and integrating AI into physical lab workflows, with a preference for those who have shipped real robot software and can work collaboratively in a fast-paced, on-site Bay Area environment.

Best fit for

  • Candidates with experience in robotics software and a track record of shipping functional systems
    — “Shipped real robot software: manipulation, motion planning, control, or learned policies”
  • Individuals with a background in AI model integration and cloud infrastructure deployment
    — “provision, deploy, and manage cloud resources such as Docker, AWS, and bare metal”
  • Candidates who can work cross-functionally with scientists and have a strong systems mindset
    — “Work across our general engineering stack: tooling for scientists, internal applications, pipelines, and cloud infrastructure”

Things to consider

  • The role demands on-site presence at a specific Bay Area location, with no remote flexibility implied
    — “This onsite role is located at Redwood LIFE in Redwood City, CA”
  • Candidates must be prepared to make high-impact decisions with minimal guidance
    — “The judgment to decide what to build next when nobody is there to tell you”

How to stand out

  • Highlight end-to-end robotics system development in your resume and portfolio
    — “Own our robotic manipulation station end to end”
  • Emphasize experience with AI coding tools and how they improved your workflow
    — “Fluency in leveraging AI coding tools such as Claude Code, Codex, and Grok”
  • Showcase your ability to manage hardware and debug robotic systems effectively
    — “Comfort with hardware: mounting, wiring, calibration, and the patient debugging of robots”
  • Include video examples of systems you have built and deployed from scratch
    — “A portfolio of systems you took from nothing to working, ideally with video”
Pace · Fast PacedCollaboration · MediumAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • useful robot software
  • efficient experimental workflows
  • AI agent integration
Typical background
strong software engineering backgroundexperience with ROS/ROS2

Skills & requirements

Required

Software Engineering FundamentalsFull-stack Systems DevelopmentRobotics SoftwareCloud Resource ManagementAI Integration

Preferred

Teleoperation And Data-capture PipelineManipulation PoliciesSimulation

Stack & domain

Software EngineeringRoboticsAI ModelsCollaborationProblem-solvingInnovationAIDrug Design

About the role

Original posting from Integrated Biosciences, Inc. via Greenhouse

About Integrated Bio

Integrated Bio (integratedbio.com) is a scientific discovery company translating multimodal biological datasets into novel therapeutics, using our drug design platform and AI models. 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 respect personal time and give people room to do their best work within a collaborative team.

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 November to January 2027; target start January 2027 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.

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.

Integrated Bio is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Source: Integrated Biosciences, Inc. careers (Greenhouse)

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