Senior Robotics Control Engineer

Foundry Robotics
San Francisco, CA

Who this role is best for

Strong fit for experienced robotics control engineers who design real-time systems for industrial applications and integrate across multidisciplinary teams in San Francisco.

Best fit for

  • Candidates with 5+ years in multi-DOF control algorithms and real-time hardware validation
    — “5+ years of experience implementing optimization-based multi-DOF control algorithms”
  • Individuals skilled in sensor fusion and state estimation for high-precision robotics
    — “Experience building state estimation solutions for real-time robotic systems”
  • Engineers with a track record in torque control and low-impedance system design
    — “A proven track record iterating on complex multi-DOF systems, with emphasis on torque control and low impedance”

Things to consider

  • Location-based compensation may affect take-home pay for non-local candidates
    — “based in San Francisco”
  • Equity-based compensation requires long-term commitment to company success
    — “equity based compensation, subject to Board of Director approval”

How to stand out

  • Highlight end-to-end controller development experience from simulation to hardware testing
    — “Own controller performance end-to-end: simulation validation, hardware bring-up, tuning, and regression testing”
  • Emphasize fluency in modern C++ and Python for real-time robotics systems
    — “Fluency in modern C++ and Python”
  • Demonstrate expertise in rigid-body dynamics libraries like Pinocchio or Drake
    — “Rigid-body dynamics libraries (Pinocchio, Drake, MuJoCo)”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · TeamLevel · Senior

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

What success looks like

  • designs and develops real-time control systems
  • builds model-based planning and control components
  • develops state estimation for real-time manipulation
Typical background
5+ years of experience implementing optimization-based multi-DOF control algorithms

Skills & requirements

Required

Real-time Control SystemsTorque ControlMotion PlanningState EstimationSensor FusionC++Python

Preferred

MPC / Receding-horizon ControlContact-rich ManipulationRigid-body Dynamics LibrariesROS 2Machine Learning

Stack & domain

Optimization-based Multi-dof Control AlgorithmsState EstimationSensor FusionC++PythonROS 2Real-time LinuxAmbiguity HandlingCollaborationProblem-solvingRoboticsAssembly And ProductionNational-security-critical Hardware

About the role

Original posting from Foundry Robotics via Ashby

ABOUT US

Foundry Robotics is building an AI-native robotics manufacturing company focused on deploying advanced assembly and production capability for leading robotics companies and national-security-critical hardware. Basically, we’re building robots that build robots.

Factory OS is building software that runs factories. Our platform spans cloud backends, on-prem services, and edge devices deployed on the factory floor. The operators, supervisors, and managers who use our tools need interfaces that are fast, reliable, and intuitive—even when network conditions aren’t perfect and the environment is demanding.

THE ROLE

The Senior Robotics Control Engineer will design and develop real-time control systems for advanced robotic manipulators, with a focus on torque control, motion planning, and state estimation. This role involves building optimization-based control algorithms, integrating sensor fusion across multiple sensing modalities, and driving controller performance from simulation through hardware validation. Working closely with the Autonomy, Hardware, and Testing teams, the engineer will develop scalable, high-performance robotics solutions that enable precise, reliable, and intelligent manipulation in real-world environments.

Key Responsibilities:

  • Design and develop real-time C++ code control of robotic arms, with emphasis on torque control and low impedance.
  • Build model-based planning and control components: trajectory optimization, inverse dynamics, and whole-arm motion control.
  • Develop state estimation for real-time manipulation, fusing encoders, torque sensors, force-torque sensing, and IMUs.
  • Own controller performance end-to-end: simulation validation, hardware bring-up, tuning, and regression testing.
  • Design scalable solutions that integrate with Autonomy, Hardware, and Testing systems at Foundry.

WHAT WE'RE LOOKING FOR

  • 5+ years of experience implementing optimization-based multi-DOF control algorithms (inverse dynamics, trajectory optimization) on real robotic systems
  • Experience building state estimation solutions for real-time robotic systems such as (E)KFs, Particle Filters, Factor Graphs, etc.
  • Experience with various sensors (encoders, torque sensors, force-torque sensors, IMUs) and sensor fusion
  • Deep understanding of spatial kinematics, dynamics, and related mathematical concepts
  • A proven track record iterating on complex multi-DOF systems, with emphasis on torque control and low impedance
  • Fluency in modern C++ and Python

Additional Qualifications:

  • MPC / receding-horizon control on real systems
  • Contact-rich manipulation, grasping, or force-controlled assembly
  • Rigid-body dynamics libraries (Pinocchio, Drake, MuJoCo) and optimization solvers
  • ROS 2 and real-time Linux
  • Experience with Machine Learning as it relates to control or state estimation (learned dynamics models, residual policies, imitation learning)

Why Join Us?

This is one of the only places where world-class manufacturing operators, mechanical engineers, robotics researchers, and software engineers sit in the same room — building production systems together.

We are committed to being deeply embedded in the U.S. industrial base. Our focus is simple: build adaptive robotic assembly systems that make American manufacturing scalable, resilient, and competitive again.

The base salary range for this full-time position, based in San Francisco, is: $150,000—$250,000 USD

Compensation packages at Foundry Robotics for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Foundry Robotics employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, and generous PTO.

Source: Foundry Robotics careers (Ashby)

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