118 training jobs found in Palo Alto

As a Software Engineer for the Optimus team, you will build the tools and infrastructure to make and measure improvements to neural network architecture, visualize data, assist with exporting and deploying neural networks to the bot, and evaluate experimental results. You will help us automate the entire workflows of training, validation, and production of the Optimus. Most importantly, you will see your work repeatedly shipped to and utilized by thousands of Humanoid Robots in real world applications. The Role Build and improve our Python training infrastructure for stable and faster training Build the tooling and infrastructure for reporting and visualizing model metrics and performance Build the pipelines to run and validate our PyTorch models Manage, analyze, and visualize our training and test datasets Coordinate with the team managing the hardware cluster to maintain high availability / jobs throughput for Machine Learning Build...

At Tesla AI, we are solving real-world autonomy at a scale that does not exist anywhere else. We are building the brains for millions of robots and to achieve this, we train frontier-scale foundation models on the world's richest, most diverse dataset of multimodal telemetry, vision, language, and robotic action. You will have access to unparalleled resources that set us apart from other companies in the AI industry. You will work with one of the richest real-world driving, robotics and human-interaction datasets available providing a unique, and perhaps the only, environment to investigate scaling laws for language, vision, multimodal, and sequential decision-making models under real product constraints for FSD, Optimus, and Digital Optimus. Tesla also offers one of the highest GPU resources per engineer in the industry, giving you the computational budget to run controlled scaling experiments, fit predictive laws, and train frontier-scale models far beyond typical research...

Minimum Requirements: 5+ years of military experience with an honorable discharge, BSIS Guard Card (or equivalent state license for unarmed security), valid driver’s license, strong physical fitness and stamina, excellent situational awareness and decision-making skills, strong communication and interpersonal skills. Now Hiring - Immediate Security Job Openings: Join an elite team of security professionals dedicated to excellence and top-tier client protection. We’re actively recruiting for key positions across our operations, offering competitive pay, unparalleled training, and the chance to work on high-profile assignments. Review the openings below and apply today to take your career to the next level: Job Description: We are seeking a highly trained and professional  Unarmed Residential Security Officer  to provide unarmed security...

Qualifications Position Description & Qualifications: If you desire an opportunity to help the Navy and Marine Corps, then Serco has a great opportunity for you!: As our HM&E Fleet Introduction/Planned Maintenance Representative (PMR) in San Diego, CA you will provide technical, planning, and execution support for Amphibious Warship post-delivery, modernization, maintenance, and fleet introduction efforts and serve as the primary liaison between Program Office personnel, Ship's Force, Regional Maintenance Centers (RMCs), Planning Yards, SUPSHIP, installation activities, and engineering stakeholders to ensure Hull, Mechanical, and Electrical (HM&E) systems are properly maintained, modernized, tested, and transitioned to Fleet operations.: Serco supports LHA and LPD Class ships during Post Delivery Availabilities, Work Opportunity (WOO) periods, and Fleet Introduction activities.: Will consider candidates for the following locations: San Diego, CA...

The Future is Autonomous. Join the Robotaxi division and drive the autonomous revolution, unlocking democratized, safe, low-cost transportation for all. Your role, positioned at the center of many critical teams at Tesla, will be critical to the successful deployment of Robotaxi. As Staff Growth Engineer for Strategy and Analysis, you will unlock rapid scaling of our Autonomous Vehicle fleet to unprecedented levels. This role will be integrated within a highly dynamic and rapid paced division of Robotaxi. You will design, train, and ship machine learning models that predict and uncover ridership trends, and which product experiences create lasting customer delight. Additionally, you will be on the forefront of rethinking how pricing of rides within Robotaxi should be structured. Exceptional skill in machine learning and model training is required. You will own the math, the models, and the product bets that decide how the world transitions to autonomous mobility. You will work...

The Future is Autonomous. Join the Robotaxi division and drive the autonomous revolution, unlocking democratized, safe, low-cost transportation for all. Your role, positioned at the center of many critical teams at Tesla, will be critical to the successful deployment of Robotaxi. As Sr. ML Engineer for Pricing, using first principles, develop pricing algorithms that optimize for customer experience as well as operational revenue and costs. Price is the control surface of the network: it balances demand, utilization, wait time, and willingness to pay. You will design, train, and ship pricing algorithms that align rides with riders at price points that are sensible and extremely accessible. While also being competitive in every city, and economically rational for a driverless fleet. You will go far beyond simple surge. Involving Route-based prices and session-based prices as well as elasticity that learns from every trip. The output of your work will be highly visible and...

The Optimus Simulation team is at the forefront of advancing humanoid robotics by building a high-fidelity virtual world where Optimus can safely learn, adapt, and improve. Our mission is to recreate the complexities of the real world in simulation, enabling scalable testing, rapid iteration, and accelerated development of the Optimus autonomy stack. We design and deploy cutting-edge simulation systems that blend accurate physics modeling, photorealistic rendering, and intelligent virtual agents, creating environments that challenge Optimus in the same way the physical world would. These simulations allow us to rigorously evaluate behavior, uncover edge cases, and drive continuous improvements in autonomy and decision-making. As a member of this team, you will play a pivotal role in shaping the future of humanoid robotics. Your contributions will directly accelerate Optimus' ability to operate effectively in real-world environments by closing the gap between simulation and...

As a Manufacturing Engineer, Power Module at Tesla, you will lead the development of innovative manufacturing processes and technologies to produce high-quality power modules, driving the future of sustainable energy. The Role Develop new manufacturing processes and technologies for power module packaging and assembly Collaborate with design to ensure Design for Manufacturability (DFM) solutions and seamless integration of product design and manufacturing processes Conduct research and analysis to identify and implement new manufacturing processes and materials Design, execute, and analyze experiments to validate process assumptions, understand process interactions, and optimize process conditions Troubleshoot and resolve manufacturing issues related to power module assembly, including equipment, process, and material-related problems Develop and maintain manufacturing documentation, including process specifications, work instructions, and training...

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. The Tesla AI Hardware team is looking for an ASIC RTL Design Engineer specializing in interconnect and memory systems to drive the...

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 seeking a highly motivated ASIC RTL Design Engineer with a specialization in the mathematical 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...

Tesla is looking to hire a Manufacturing Engineering Technician to contribute to the development and deployment of specialized processes and equipment for our cutting-edge Battery products. Battery development is at the heart of our company, and this is an exciting opportunity to work directly on the central challenges with electric vehicles - battery cost and performance. Tesla is a demanding and fast-paced environment where you will work with a highly motivated team on extremely challenging projects. The Role Regularly collaborate with Design and Manufacturing engineers Support development and optimization of manufacturing processes, quality controls and equipment specifications Support the installation and commissioning of electromechanical equipment Help develop training material, and train key personnel Support process and equipment validation, utilizing metrology, destructive, and non-destructive testing Help develop test criteria and collaborate...

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 seeking a highly motivated ASIC RTL Design Engineer with a specialization in the mathematical and...

Video generation models have made significant progress recently but continue to struggle with respecting physics, causality, and fine controllability. At Tesla, we're training world models on millions of hours of real-world action-conditioned video using one of the biggest compute clusters. Instead of generating more AI slop, our goal is to faithfully reproduce real-world successes and failures, on both the bot and car platform, for the purposes of evaluation and closed-loop reinforcement learning. For more information, please watch this video. The Role Design and train action-conditioned video generation models that predict future frames and sensor states Develop causal, physics-aware architectures that model interactions, motion, and environmental dynamics Integrate 3D generative techniques such as Gaussian Splatting and volumetric rendering for high-fidelity realism Implement closed-loop training systems where models iteratively refine predictions through...

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 seeking a highly motivated ASIC RTL Design Engineer with a specialization in the mathematical and...

Tesla AI is solving robust, real-world AI through humanoid robots. As a Software Engineer for the Optimus team, you will build the tools and infrastructure to make and measure improvements to neural network architecture, visualize data, assist with exporting and deploying neural networks to Tesla's neural network chip with real-time latency constraints on Optimus, and evaluate experimental results. You will help us automate the entire workflows of training, validation, and production of Optimus. Most importantly, you will see your work repeatedly shipped to and utilized by thousands of Humanoid Robots in real world applications. The Role Optimize ML models for latency, memory usage, and inference speed Quantize, prune, and convert models (e.g., to ONNX, TensorRT, TFLite) for deployment on various platforms (cloud, edge, mobile) Benchmark and profile model performance across different environments Package and deploy models as REST APIs, batch jobs, or...

As a Software Engineer for the Optimus team, you will build the tools and infrastructure to make and measure improvements to neural network architecture by building and automating scalable data and inference pipelines, ensuring data quality by building visualizing tools. We are building a Machine Learning Platform that automates the collection, processing, and evaluation of data, reducing manual overhead and accelerating the entire ML lifecycle. We are seeking an experienced engineer to build this automation platform that translates research breakthroughs into robotic intelligence at scale. The systems you create will drive continuous data integration, automated evaluation, and rapid deployment-impacting how thousands of Humanoid Robots perceive and act in the real world every day. The Role Automate data, inference, and auto-labeling pipelines Build the tooling and infrastructure for reporting and visualizing model metrics and performance Manage, analyze,...

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 seeking a highly motivated ASIC RTL Design Engineer with a specialization in the mathematical and...

At Tesla AI, we're not just training models, we're building the foundation models that power the future of real-world autonomy. Your work will directly control millions of Tesla vehicles and robotaxis on the road today, Optimus humanoid robots in factories and homes, and Digital Optimus - our groundbreaking AI agents that autonomously operate computers and software systems at enterprise scale. In addition, we deploy these models to edge hardware where efficiency and accuracy is paramount. Whether your background is in pushing the limits of ultra-low-bit precision, developing post-training quantization and quantization-aware-training algorithms, or designing model architecture for quantized inference, if you excel at making massive deep learning models run lightning-fast on custom silicon and want to see your research deployed at planetary scale, this role is built for you. At Tesla AI we celebrate and enable speed, ownership, and real-world impact. Join our AI Team and you'll...

The AI Product Analyst, Megapack Operations will own the building, maintenance, and adoption of AI-powered tools and agents that support Tesla's Megapack business. This role sits at the intersection of product thinking, hands-on AI tool development, and operational domain knowledge. You will build and maintain RAG-based agents, support a shipped desktop AI platform (600+ users), curate a shared skills repository, and drive enablement programs that help non-technical teams use AI effectively in their daily work. This is not a traditional analyst role. You will spend the majority of your time building and shipping AI products, not writing reports. A great AI Product Analyst is someone who can investigate why an agent gave a wrong answer in the morning, ship a fix by lunch, write the documentation in the afternoon, and present adoption metrics to leadership by end of day. As a key member of the Megapack Operations team, you will work closely with the AI product lead, software...