847 jobs found

The AI inferencing Hardware team is responsible for designing the computing hardware that delivers the autonomous capability for Tesla vehicles and humanoid robots. We design complex high speed compute boards with Tesla in-house AI silicon, to deliver inferencing performance while meeting efficiency, cost, reliability goals. The AI computer is integrated as the “brain” for humanoid robot, Optimus, to perform physical world tasks. The Role Hardware ownership: Specification, architecture, design, simulation, schematics, layout supervision, prototype, validation Design of electrical architecture, electronic circuits, processor selection and integration, system timing and bus loading Collaborate with PCB layout, firmware, reliability, program management, mechanical, and EMC teams Thoroughly document design requirements, calculations, power budgets, etc. Come up with validation plan and verify all the features and interfaces across corners Design for...

Tesla's Infotainment EE team designs the multi-media compute platforms behind the cabin experience in every Tesla vehicle — driving high-resolution displays, immersive audio, camera and sensor fusion, inter/intra-networking, and on-vehicle AI inference. We are seeking a detail-oriented and enthusiastic electronic design engineer with a strong background in computer system design, validation, and support. In this role, you will own next-generation infotainment motherboards end-to-end, balancing performance, power, cost, EMC, and automotive reliability to deliver a best-in-class experience worldwide. The Role Translate product and performance requirements into compute, memory bandwidth, display, audio, networking, peak power, and storage targets Lead parts selection for critical components — SoC, memory, storage, power-management, display, microprocessor, Ethernet switch, audio controller, etc. Implement open-ended electrical discussions into concrete circuit design...

A fog-free windshield, clean cabin air, a clear camera lens at highway speed — these are only possible with the hardware that senses and controls the vehicle's environment. That hardware delivers a comfortable, healthy cabin and keeps the vision system clean for FSD, and the Sensing Hardware Team is looking for the engineer who will own it across millions of vehicles, in climates you can't always predict. This role spans the sensing and driver electronics behind three connected systems — HVAC climate control, cabin air quality, and camera/optical-surface cleaning (including condensation management): the sensors for temperature, humidity, air quality, contamination, ambient light, and solar load, and the electronics that act on them (heaters, fans/blowers, valves, wiper/washer actuation, defog, defrost). You define both outcomes quantitatively, then build the hardware that guarantees them. On the cabin side, as FSD frees people from the wheel, clean air and stable climate stop...

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 —...

Tesla AI is solving robust embodied intelligence through humanoid robots. Core to this is the manipulation stack, which presents a unique opportunity to work on state-of-the-art algorithms for object manipulation culminating in their deployment to real world production applications. Our robotic manipulation software engineers develop and own this stack from inception to deployment. Most importantly, you will see your work repeatedly shipped to and utilized by thousands of Humanoid Robots in real world applications. The Role Design and develop our learned robotic manipulation software stack and algorithms Develop robotic manipulation capabilities including but not limited to (re)grasping, pick-and-place, and more dexterous behaviors to enable useful work in both structured and unstructured environments Model robotic manipulation processes to enable analysis, simulation, planning, and controls Reason about uncertainty due to measurements and physical interaction...

Tesla continues to expand rapidly in line with our mission to create a sustainable world of abundance. To keep pace with this growth, the North America Used Cars team is seeking a rigorous, analytically driven problem solver with the depth to operate across modeling, pricing strategy, and operational execution. This team is responsible for the Tesla Used Cars business focused on the acquisition, refurbishment, and resale of all used Tesla and non-Tesla vehicles. Tesla is seeking a Data Engineer to join the Used Cars Programs team, a high-ownership role sitting at the intersection of machine learning, pricing science, and business operations. The used car pricing function currently supports multiple markets (US, Canada, Puerto Rico, Mexico) with additional markets on the horizon. This role will be instrumental in executing a growing portfolio of ML and analytical initiatives from daily pricing operations and exception handling to new model development and strategic analytical...

The New Programs Engineering team works at the front end of the design and development cycle by studying, simulating, building, and proving Tesla’s future vehicle concepts. New Programs Engineers interact with cross-functional partners from the Design, Vehicle Engineering, and Powertrain Engineering groups to develop 3D designs, mules, prototypes, and demonstrators used for informing downstream engineering efforts. This is a product design engineering position where product design expertise and fundamental first principles approach to problem solving are far more important than extensive automotive industry specific experience. The Role Product Definition – Document product plan of record. Identify risks and key decisions. Gather data, feedback, and customer input to present to design, engineering, and leadership to facilitate key product decisions Own vehicle system level attributes in the first stage of product definition and present tradeoffs to leadership in...

We are seeking a Technical Program Manager to own the Change Adoption & Sustainment domain within Tesla’s Industrial Storage Operational Excellence (OPX) team. In this role, you will be the end-to-end owner of verifying that changes deployed by the IS OPX team actually land in the field, are sustained over time, and produce the outcomes they were designed to achieve. You will manage all three initiative types within your domain — reactive work (adoption failure remediation and drift corrections), proactive work (change readiness assessments and post-launch verification plans), and measurement-driven work (sustained adoption rate analysis and outcome validation). While the other cross functional teams design, build, and roll out changes — you verify those changes landed, are being followed, and actually worked. When changes don’t stick, you own the remediation. You are the person who closes the loop between “we deployed it” and “it’s actually working.” The Role Own the...

Tesla AI is solving robust, real-world AI through humanoid robots. As a Software Engineer within our robotics teams, you will contribute to one of the most advanced Robotics/AI Platforms in the world. You’ll be responsible for integrating machine learning models with real-time systems, working across the software stack to ensure seamless communication between neural networks and hardware components. The Role Integrate ML models into embedded or robotic systems with tight latency and performance constraints Write Python scripts/tools for training, evaluation, and deployment pipelines Collaborate with machine learning researchers to bring models from prototype to production Optimize runtime performance of neural networks on various compute environments (e.g., GPU, CPU, edge accelerators) Work with sensors and actuators Develop messaging frameworks (e.g., ROS, ZeroMQ, gRPC) Design and implement efficient, robust C++ systems for...

Tesla is looking for strong Machine Learning Engineers to help build foundation models for robotics to drive the future of autonomy across all current and future generations of vehicles. You will work on a lean team without boundaries and have access to one of the world’s largest training clusters. Most importantly, you will see your work repeatedly shipped to and utilized by millions of Tesla’s customers. The Role Leverage millions of miles of driving data and interventions to build a robust and scalable end-to-end learning based self-driving system Use cutting-edge techniques from generative modeling, imitation learning, and reinforcement learning to improve the planning and reasoning capabilities of our driving models Experiment with data generation and fleet data collection approaches to enhance the diversity and quality of training data Integrate directly with vehicle firmware and ship production quality, safety-critical software to the entirety of...

Join the Tesla AI team to help shape one of the most advanced and widely-deployed AI systems in the world. As a key contributor, you will drive innovation in World Model and Physical AI development, tackling challenges related to 3D perception and Neural Simulation. The Role Design and develop 3D foundation models and world models leveraging fleet data Design and develop automated data generation pipelines that create various high quality ground truth data for real-world perception problems Deploy and scale your work across millions of autonomous cars and bots worldwide Collaborate closely with a high-caliber team dedicated to realizing full autonomy Requirements Proven ability to rapidly prototype and optimize algorithms Proficiency in writing production-quality code in Python Proficiency in C++ is desirable Solid understanding of deep learning, linear algebra, geometry, and probabilistic theory, with hands-on implementation experience...

Tesla AI is solving robust embodied intelligence through humanoid robots. The goal of our reinforcement learning team is to build and demonstrate a general robot learning system that can leverage AI to perform complex physical tasks, ranging from full body locomotion, precise manipulation, and more. Our reinforcement and imitation learning engineers are responsible for end-to-end robotic learning and own this stack from inception to deployment. Most importantly, you will see your work repeatedly shipped to and utilized by thousands of humanoid robots in real world applications. The Role Develop end-to-end robotic learning with either reinforcement or imitation learning Reinforcing correct set of actions, rewarding correct behavior and negating incorrect behavior (with real-time action/reward feedback loops) Perform a large number of instructions and generalize new tasks with different objects and environments Learn to perform dexterous tasks using high degree of...

Our team productionalizes ML models - we train and deploy large neural networks for efficient inference on compute-constrained edge devices (CPU / GPU / AI ASIC). The nature of this role is multi-disciplinary - you will work at the intersection of machine learning and systems by building the ML frameworks and infrastructure that enable the seamless training, deployment, and inference of all neural networks that run on Autopilot and Optimus. The Role Build robust AI frameworks to lower neural networks to edge devices Build robust AI infrastructure to train and fine-tune networks for Autopilot and Optimus on large GPU clusters Deploy state-of-the-art neural networks on heterogenous compute, including Tesla’s in-house AI ASIC, with an aim to maximize network performance while minimizing latency Collaborate with AI scientists and compiler engineers to effectively compress large models to run in low precision Design and implement custom GPU kernels (CUDA /...

As a member of the Inference Infrastructure team, you will own the systems that power AI model development, validation, and deployment across custom AI hardware at scale. Your work sits at the intersection of large-scale distributed infrastructure and cutting-edge AI hardware — building the platform that Compiler, AI, and Optimus teams depend on to develop & validate models on next-generation chips. This is not a supporting role; from cluster orchestration & hardware fleet management to inference pipelines & developer tooling, you will design and own foundational systems that directly determine how fast the org can move from a trained model to a validated, deployed artifact. The Role Own & scale the AI inference cluster — the physical and software platform that runs AI workloads on custom AI hardware across thousands of boards Build & improve job scheduling, hardware onboarding, and cluster self-healing systems that keep the fleet running at 95%+ uptime Design &...

The Sensing Hardware Team is seeking a hardware engineer specializing in motion sensing with 3+ years of industry experience. The role will primarily focus on developing motion sensing technologies for FSD (full-self driving), vehicle control, and safety features. As a Sensor Hardware Engineer, you will be responsible for the overall performance of the sensing system and its features at any point in the product life cycle; serve as the owner of a given sensing system to address any issues discovered from development through deployment; understand and debug hardware and software interactions from prototyping through product launch; and manage priorities and support a host of projects simultaneously. The Role Specification generation: distill sensor product requirements into constraints and actionable engineering systems design discussions Collaboration: lead cross-functional sensor design discussions with electrical, software, supply chain, manufacturing, thermal,...

Autonomy begins with sensing. Tesla's vehicles depend on a diverse array of sensing systems, from spatial perception (vision, radar) and motion sensing (IMU) to user interaction, environmental monitoring, and chassis sensing, to perceive and interact with the world. At the core of every one of these systems is a circuit board that must be engineered to the highest standard. This role owns that foundation. As part of the Sensing team, you will design, validate, and industrialize circuit boards, rigid, flexible, rigid-flex, and beyond, that enable Tesla's autonomous driving and intelligent vehicle features. You'll translate high-level system requirements into board-level designs that meet aggressive cost, size, and reliability targets across a uniquely broad portfolio of sensor technologies. The scope is rare: few roles touch this many sensing domains, form factors, and production scales in one seat. If you want to see your boards ship in millions of vehicles and directly advance...

Tesla’s Energy Engineering group is looking for a highly motivated individual to program manage existing and new design engineering for Industrial Energy Products, including the Megapack and Powerpack. This is a cross-functional role that requires coordination between many different groups within and outside of Tesla. You will interface with design engineering, manufacturing engineering and operations, supply chain, compliance, reliability, safety and field operations to define and drive development of new product programs while also managing change on existing programs. As part of the design engineering team, you will be immersed in the design and manufacturing engineering process and will shepherd projects from concept through to prototype validation and then production ramp. You will use your engineering background to understand the product and manufacturing requirements, manage technical risks, and define validation and integration strategies that accelerate the development...

Tesla’s Supplier Industrialization team is responsible for process development and qualification activities at suppliers. This role will lead a team of cell SIE responsible to develop, qualify, scale up and optimize manufacturing and quality system for battery cell manufacturing. In this role, you will work closely with many organizations both internal and external to Tesla, taking new battery cell designs from initial concept through into full production.The battery cell is a critical component in Tesla vehicles and storage systems. This role will have the opportunity to make meaningful contributions to our products. The work environment is demanding, fast-paced and incredibly exciting. The ideal candidate should be ready to push their limits, as they join in highly motivated and capable team to make unbelievable things into reality. The Role Own the end-to-end battery cell manufacturing process development & design for manufacturability — from upstream electrode mixing to...

Our team designs, trains, and deploys large-scale neural networks optimized for inference on compute-constrained edge devices (CPU / GPU / custom AI ASIC). This role sits at the intersection of ML modeling and hardware-aware systems engineering — you will architect and train state-of-the-art models while co-designing them with the underlying silicon and compiler stack to maximize performance. You will drive the full lifecycle from model research and training at scale to quantized, latency-optimized deployment across Tesla's heterogeneous compute platforms. The Role Design, train, and iterate on neural network architectures for autonomous driving and robotics, with a focus on efficiency-aware model design (architecture search, distillation, pruning, quantization-aware training) Co-design model architectures with compiler and ASIC teams to exploit hardware-specific capabilities (custom ops, dataflow patterns, memory hierarchy) Develop and optimize the model lowering...

The Tesla AI Hardware team is at the forefront of revolutionizing artificial intelligence through cutting-edge hardware innovation. Comprising brilliant engineers and visionaries, the team designs and develops advanced AI inference chips tailored to accelerate Tesla’s machine learning capabilities. A key part of this effort is Dojo, Tesla's custom supercomputer system built to efficiently train massive neural networks on vast video data from the fleet. The work of Tesla's AI Hardware team powers the neural networks behind Full Self-Driving (FSD), and Tesla humanoid robot, Optimus, pushing the boundaries of computational efficiency and performance. By creating custom silicon and optimized architectures, the team ensures Tesla remains a leader in AI-driven automotive and energy solutions, shaping a future where intelligent machines enhance human life. Tesla's AI Hardware Team is looking for experienced, highly skilled VLSI engineers who enjoy working across the logic, circuit,...