
Mechanical Engineer at Generalist (Boston, MA)
Generalist· Boston, MA·
Role details
Job description
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, research.google RT-2 deepmind.google/, Gemini Robotics deepmind.google/gemini-robotics), launched and scaled ChatGPT chatgpt.com and GPT-4 openai.com/gpt-4-research to hundreds of millions of users, engineered the foundations of autonomous driving, built next-generation robots (Atlas bostondynamics.com/, Spot bostondynamics.com/, Stretch bostondynamics.com/stretch) and pushed the limits of what they can do (from parkour youtube.com/watch to manipulation bostondynamics.com/, and testing robustness youtube.com/watch).
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.
We’re hiring hardware engineers that can advance our goals of developing grippers, sensors, and robotic systems capable of dexterous manipulation that is robust, capable, and precise.
Responsibilities
- Develop wearable data collection devices capable of dexterous manipulation, from concept design through mass-production.
- Design and manufacture robot hands that include custom structures, actuators, as well as integration of cameras, IMUs, encoders, and additional sensors.
- Perform trade studies to evaluate various actuator, robot, and sensor implementations.
- Lead engagements with external vendors to manufacture components, assemblies, or to multiply IC efforts.
- Integrate COTS and custom robotic arms, robot stands, mobile bases, robotic hands, sensors, and end effectors.
- Test designs for functionality, robustness, and compliance with key standards
- Collaborate with a multi-disciplinary team that includes ML, controls, perception, operations, mechanical, electrical and hardware engineers; as well as a business development team to define product requirements, timelines, and dynamically set priorities.
Desired Qualifications
- Strong experience in design of tightly integrated electro-mechanical systems
- Fluency in CAD modeling (Solidworks), PDM, FEA, and physics-driven analysis
- Leadership in driving a project from conceptual design through mass production
- Injection molding, overmolding, machining, additive manufacturing, actuator assembly, and/or electronics manufacturing experience is beneficial.
- 10+ years of education/experience in relevant mechanical / electro-mechanical design
- Strong communication skills, and a commitment to building a respectful and collaborative environment
Why work at Generalist
- Culture: Tight-knit, research-forward environment with a mix of AI and hardware engineering. On-site presence in San Francisco (SFO) and Boston (BOS). generalistai.com/careers
- Remote/Hybrid Policy: All open positions are listed as “On-site” (no remote or hybrid options).
- Notable Perks: Not explicitly disclosed, but the startup’s rapid growth and $128M funding suggest competitive compensation and equity. The team consists of leading roboticists and AI researchers, offering exposure to cutting-edge work.
- Engineering Culture: Heavy emphasis on technical staff (Software Engineers in ML Infra, Robotics Controls, ML Optimization, Infrastructure; Research Scientists in pretraining and post-training). Roles include hands-on robot operation and systems building.