Software Engineer: Robotics Controls
Generate a McCoy IQ challenge in 30 seconds.
See how candidates think and approach the work this role demands, before the phone screen. We'll build a video challenge from this posting, and you can edit or share it before it goes live.
Key details
Job Description
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
ABOUT GENERALIST
At Generalist, we are on a mission to make general-purpose robots a reality. 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, https://research.google/blog/palm-e-an-embodied-multimodal-language-model/ RT-2 https://deepmind.google/blog/rt-2-new-model-translates-vision-and-language-into-action/, Gemini Robotics https://deepmind.google/models/gemini-robotics/), launched and scaled ChatGPT https://chatgpt.com/ and GPT-4 https://openai.com/index/gpt-4-research/ to hundreds of millions of users, engineered the foundations of autonomous driving, built next-generation robots (Atlas https://bostondynamics.com/atlas/, Spot https://bostondynamics.com/products/spot/, Stretch https://bostondynamics.com/products/stretch/) and pushed the limits of what they can do (from parkour https://www.youtube.com/watch?v=tF4DML7FIWk to manipulation https://bostondynamics.com/blog/large-behavior-models-atlas-find-new-footing/, and testing robustness https://www.youtube.com/watch?v=aFuA50H9uek).
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
Audit details(provenance, verification trail, raw fields)
Core fields
generalist-ai:ebace75d-6896-45f5-a12c-3c0699c9d7a6Provenance
generalistVerification trail
This posting hasn't been probed by our closure verifier yet. Stream C runs on a rolling schedule against postings approaching the close-decision threshold.
See how we measure for definitions, or our corrections log for known issues. Found something wrong? Flag a correction.
