7 physical education teacher jobs found

Tesla is building the future of AI systems that operate in the real world where safety, reliability, and performance are non-negotiable. As a Machine Learning Integration Engineer, you'll be at the forefront of this mission, transforming cutting-edge AI research into deployable, safety-critical systems that power Tesla's vehicles and humanoid robots. In this role, you will collaborate closely with vehicle hardware and firmware teams to design, evaluate, and ship multimodal AI-based solutions to improve vehicle systems, safety, and customer experience in challenging scenarios. Your work will ship to millions of vehicles and robots globally, repeatedly, reliably, and at scale. Join us in shaping the future of real-world AI. The Role Leverage millions of miles of driving data and interventions to build robust and scalable end-to-end learning-based systems Combine multiple data sources, including video, audio, thermal, mechanical, weather, and other sensors to develop and...

Tesla is seeking a highly skilled and motivated Mechanical Design Engineer in the Autopilot and Electronics Product Design team to work on sensing devices (weather/occupant/vehicle awareness). Vehicle autonomy combined with new regulation standards requires innovative mechanical solutions for sensors. Tesla is a unique place for a mechanical engineer to own designs from first principles to mass production. Looking for various experience levels - Senior, Staff etc. The Role Work closely with sensing, interior, exterior teams to enable temperature, rain, cabin and tire pressure sensors Optimize sensors in the vehicle while considering product variation, environmental factors, thermal, assembly and more Participate in prototype builds, component fabrication, testing and validation efforts Own the design of all mechanical components including PCBA outline, heatsink design, shield-can design, connector selection, sensors selection, manufacturability at scale...

Tesla AI is solving robust embodied intelligence through humanoid robots. On the Whole Body Controls team, you will develop the policies that let Optimus walk, balance, recover from disturbances, and manipulate objects in real-world settings - the layer of the motion stack that turns high-level intent into physically robust motion on real hardware. This role is for engineers with a strong reinforcement-learning foundation who may be new to robotics: we will teach you the physics and control, and you will bring the reinforcement learning expertise that lets the robot learn to move. Most importantly, the policies you deploy will be repeatedly shipped to and used by thousands of humanoid robots in real-world applications. We hire at all levels, including recent graduates with a strong reinforcement learning foundation and a demonstrated project or research record. The Role Develop end-to-end reinforcement-learning policies for whole-body control spanning locomotion and...

Tesla is building the future of AI systems that operate in the real world where safety, reliability, and performance are non-negotiable. As a Machine Learning Integration Engineer, you'll be at the forefront of this mission, transforming cutting-edge AI research into deployable, safety-critical systems that power Tesla's vehicles and humanoid robots. In this role, you will collaborate closely with vehicle hardware and firmware teams to design, evaluate, and ship multimodal AI-based solutions to improve vehicle systems, safety, and customer experience in challenging scenarios. Your work will ship to millions of vehicles and robots globally, repeatedly, reliably, and at scale. Join us in shaping the future of real-world AI. The Role Leverage millions of miles of driving data and interventions to build robust and scalable end-to-end learning-based systems Combine multiple data sources, including video, audio, thermal, mechanical, weather, and other sensors to develop and...

The goal of Full Self-Driving isn't just to get it working - it's to make it more dependable than any human driver who has ever lived. Miles-per-intervention is the main metric that matters, and our primary focus is driving that number as high as possible while Robotaxi scales globally. Every rare bug that reaches the fleet is unacceptable. When issues surface, we analyze why existing tests missed them, invent new detection methods, and ruthlessly stress-test the fixes until the vulnerability is gone. In this role you will build the critical program-analysis tools (fuzzers, compiler instrumentation passes, runtime monitoring components, static analysis) that catch these bugs before they ever leave the lab. You'll work on a lean team of experienced engineers whose sole mission is improving code health, boosting fault tolerance, and enabling the extensive end-to-end testing that underpins system safety and Robotaxi's ability to scale. The Role Take ownership of the tooling...

Every input a Tesla takes - from the road beneath it or the person inside it - is a signal your hardware has to get right. The road pushes back through the steering rack; a driver reaches for a button without looking. Both are physical acts the car must read perfectly, millions of times a day - and both come down to the same craft: translating force, torque, position, and proximity into a signal the car can act on. Vehicle-dynamics sensing - handwheel angle/position, steering torque, rack position, suspension travel, wheel speed, brake pad position and pressure, inertial state - feeds FSD and vehicle control. As the chassis moves to steer-by-wire, brake-by-wire, and active suspension, these signals lose their mechanical fallback - your sensor becomes the safety-critical source of truth, and it has to be right every time. Human-interaction sensing - solid-state buttons, capacitive touchpads, electromechanical door handles and switches, stalk and seat sensors, proximity sensors -...

The purpose of Tesla's Materials Engineering organization is to facilitate the Tesla mission to build a world of sustainable abundance via the identification, development and insertion of advanced materials and processes. The team is seeking a Polymers Materials Engineer to use their fundamental and deep understanding of chemistry, physics, and polymer science to provide solutions to some of Tesla's toughest problems. This position will be a subject matter expert on softgoods at Tesla. This role will manage multiple projects that require the application of first-principles knowledge of materials to develop novel solutions needed to launch our products on time and with superior quality. Typical tasks involve material selection, authoring material standards, validating materials internally and with suppliers, managing Tesla Materials Documentation systems, root-cause-analysis, formulation of new polymers, researching new technologies to assess feasibility, and process...