Generalist
AI & Machine LearningDirect Ashby career site

Software Engineer: Robotics Controls

Location
San Francisco Bay Area (San Mateo) · On-site
Job type
Full-time
Level
Senior
Experience
5+ years
Listed
30 days ago

Skills & highlights for this role

  • real-time control systems
  • rigid body kinematics
  • robotic controls
  • C++

Also useful

  • Python
  • ROS2
  • kinematics simulation libraries
  • production robotics reliability

About the Role

You will own the software that controls our robots. You will collaborate with ML to turn output intentions into smooth, efficient, safe, and responsive actions on a variety of robot embodiments. You will collaborate with hardware and partners to ensure the system, dynamics, and components are behaving optimally.

You’ll be responsible for

  • Designing, implementing, and testing the entire real-time control system from the low-level firmware to the input spec for each embodiment we have
  • Ownership over a wide variety of robot embodiments from stock industrial co-bot arms to custom hardware

You might thrive in this role if you

  • Have extensive experience in rigid body kinematics, and robotic controls
  • Have experience bringing robots into production environments with stringent reliability requirements
  • Are experienced in high performance, production-ready Python and C++
  • Experience with kinematics/simulation libraries
  • Have experience in robotic middleware platforms such as ROS/ROS2/ZCM
  • Successful candidates have extensive experience (5+ years), often including a PhD

About Generalist

At Generalist, we are on a mission to build general intelligence for the physical world and make it useful to everyone. We believe the industries and homes of the future will depend on humans and machines working together in new ways. Robots can help us build more and get more done.

We build embodied foundation models, starting with a focus on dexterity. This requires advancing the frontiers of data, models, and hardware, to enable robots to intelligently interact with the physical world.

The company embraces both large-scale AI and robotics as core to its DNA. Our team of researchers, roboticists, and company builders come from OpenAI, Boston Dynamics, Google DeepMind, and other frontier labs-with a track record of shipping AI breakthroughs.

Before Generalist, we pioneered large embodied multimodal models and vision-language-action models (PaLM-E, RT-2 Gemini Robotics), launched and scaled ChatGPT and GPT-4 to hundreds of millions of users, engineered the foundations of autonomous driving, built next-generation robots (Atlas Spot Stretch) and pushed the limits of what they can do (from parkour to manipulation and testing robustness).

Read the original posting

From Generalist'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

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Common questions

Where is the Software Engineer: Robotics Controls job at Generalist located?

This Software Engineer: Robotics Controls position at Generalist is located in San Francisco Bay Area (San Mateo) (On-site). Always check Generalist's application page for specific state eligibility or relocation policies.

What qualifications are required for Software Engineer: Robotics Controls at Generalist?

For the Software Engineer: Robotics Controls role, Generalist highlights 5+ years of relevant experience; experience with real-time control systems, rigid body kinematics, robotic controls, C++. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Software Engineer: Robotics Controls position at Generalist?

This listing links directly to Generalist's Ashby application page. You can apply directly on Generalist'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.