Watney
AI & Machine LearningDirect Ashby career site

Senior Controls Engineer

Location
San Francisco, CA · On-site
Job type
Full-time
Level
Senior
Listed
30 days ago

Skills & highlights for this role

  • PID control
  • LQR
  • model predictive control
  • SLAM
  • sensor fusion
  • real-time systems

Also useful

  • inverse kinematics
  • inverse dynamics
  • convex optimization
  • UKF

About the Role

At Watney, Controls Engineers build the algorithmic foundations that make robots move. Your work will directly unlock a new class of robot capabilities with a uniquely high bar across precision, stability, and compliance while operating in unstructured environments such as warehouses, factories, and data centers.

As a Controls Engineer you'll own the entire estimation & controls stack: formulating the math, writing highly optimized code, tuning in the lab, and deploying across a growing fleet of robots operating at customer sites. You will also collaborate with research, hardware, and deployment teams to diagnose and correct failure modes and to design new features for both our robots and teleoperation interfaces.

We're looking for someone with technical rigor and sharp engineering instincts who is equally comfortable deploying to robots in production, not just simulation. You should be able to derive controller formulations on a whiteboard, reason about what can cause closed-loop instability, understand and navigate large codebases.

What You’ll Do

  • Own the control stack end-to-end: design, implement, and tune low-level controllers (i.e. PID,H2/H-infinity) and optimal control schemes (i.e. MPC) making sure they run reliably and high frequencies. Among many things, these controllers will be used to augment our robots capabilities (e.g. multi-robot coordination) or to make our teleoperation interface as seamless and intuitive as possible.
  • Own fleet controls metrics and guarantee its performance: evaluate and implement metrics that guarantee high-tracking accuracy and consistent behavior for all of our robots. This includes deploying adaptive-control and auto-tuning schemes to the entire fleet.
  • Build our robots’ autonomous navigation capabilities: implement optimization and sampling based path planning while localizing and mapping the environment using onboard sensors.
  • Close the loop with the field: partner with research, hardware, and deployment teams to diagnose real-world failures and translate them into more robust onboard behavior.

You May Be a Good Fit If You

  • Have hands-on experience implementing and tuning low-level controllers (PID, LQR, etc.) on real-world systems - not just in simulation.
  • Have formulated and designed optimal and robust control algorithms (robust/stochastic MPC) and understand the tradeoffs between them.
  • Have worked on manipulation systems and implemented: inverse kinematics, inverse dynamics (RNEA) and planning algorithms.
  • Have worked with real-time, low-latency systems and are comfortable profiling and optimizing performance-critical code.
  • Have worked with real-world sensors and built estimators, filters, and sensor-fusion pipelines.
  • Have implemented localization and mapping algorithms (SLAM, UKF) for wheeled or legged robots.
  • Have a strong mathematical foundation in linear algebra, calculus, and convex optimization.

Additional information

We’re committed to building a diverse, inclusive team. At Watney Robotics, we welcome people of all backgrounds and identities, and we make hiring decisions based on skills, experience, and potential. If you’re passionate about robotics but don’t meet every requirement, we still encourage you to apply!

CURIOUS TO LEARN MORE?

Our Mission

Expand human ambition in the physical world.

Critical infrastructure is constrained by labor shortages, hazardous working conditions, and operational complexity. Watney builds and deploys autonomous robotic systems that increase the speed and capacity of buildout, starting with data centers.

Read the original posting

From Watney's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

Rolev.ai is a job search and application tool for US job seekers. For this Senior Controls Engineer role at Watney, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.

  • See how you fit

    Openings from employer career sites are ranked against your whole resume—and searchable inside Claude, ChatGPT, and Cursor via Rolev.ai MCP.

  • Tailor without inventing

    Every change to your resume is checked against your original. New experience goes in only with your yes—zero fabricated claims.

  • Draft the full kit

    Tailored and Full Match resumes, role-specific cover letters, and answers to employer screening questions are prepared in seconds.

  • 1-Click Extension Autofill

    The Chrome extension fills the employer's Greenhouse, Workday, Lever, or Ashby form in 1 click. You review it and press Submit.

Common questions

Where is the Senior Controls Engineer job at Watney located?

This Senior Controls Engineer position at Watney is located in San Francisco, CA (On-site). Always check Watney's application page for specific state eligibility or relocation policies.

What qualifications are required for Senior Controls Engineer at Watney?

For the Senior Controls Engineer role, Watney highlights experience with PID control, LQR, model predictive control, SLAM, sensor fusion, real-time systems. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Senior Controls Engineer position at Watney?

This listing links directly to Watney's Ashby application page. You can apply directly on Watney's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.