"powertrain" Jobs
51867 open tech roles matching “powertrain”, taken straight from company career pages — not reposted from other job boards. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 51867 results
Own the operational health of a connected sensor platform as a Site Reliability Engineer in a fast-growing startup.
Build and own the accounting function at Specter, a growing company focused on automating the physical world.
Join Specter as an Electrical Engineer to design and develop advanced sensor systems in a fast-growing startup environment.
Join Specter as a Mechanical Engineer to design innovative products for physical AI and robotics in a fast-paced environment.
Join Specter as a Wireless Software Engineer to develop and maintain the wireless software for our distributed mesh sensor network.
Lead the testing strategy and validation for next-generation robotic systems at Eka Robotics.
Join Eka Robotics as a Machine Learning Infrastructure Engineer to build and maintain large-scale model training systems for robotics.
Lead the mechanical design of robotic hands and actuation modules at Eka Robotics in Boston.
Join Eka Robotics as a Robotics Software Engineer to optimize robotics software and enhance machine learning deployment.
Lead the camera performance engineering at Specter, focusing on optics and imaging systems for AI-driven video sensors.
Join Specter as a Founding Deployment Strategist to deliver value to customers through innovative physical AI solutions.
Join Specter as a Data Operations Engineer to build and manage research data operations for AI-driven video sensors.
Join Specter as a Hardware Test Engineer to build test plans and automate hardware validation processes.
Lead the People function at Eka Robotics, focusing on organizational design, employee experience, and performance management as the company scales.
Join Specter as a full stack engineer to build and scale applications for real-time physical intelligence.
Join Specter as an ML Infrastructure engineer to build and scale machine learning systems for real-time perception across edge-cloud platforms.