127 jobs found in Sunnyvale, CA

Tesla Energy is looking for a Sr. Software Engineer to join the team responsible for system software for Megapack. Megapack is Tesla’s fastest-growing product and is proving increasingly critical to supporting today’s unprecedented load growth from electrification and new AI data centers. Our team ensures the software glue holding everything together is reliable, secure and scalable for our current and upcoming industrial storage products. We build solutions for firmware updates, advanced commissioning and diagnostic tools, site networking, secure control communications and other middleware. Candidates may have deeper experience in embedded and low-level systems or in networking, communication protocols and security. Strong programming knowledge, excellent debugging skills and the ability to ramp up quickly are critical to success in this role. The Role Develop and build a variety of features, tooling and drivers for Megapack system software Contribute across areas...

Opticaster’s mission is to accelerate the world’s transition to sustainable energy by optimizing how batteries are charged and discharged to maximize value for customers and the grid. Our advanced algorithms determine the best times to store and use energy, considering electricity prices, solar generation, and grid conditions. These optimizations power Tesla’s energy products, including Megapacks, Powerwalls, Virtual Power Plants, and microgrids. With a global fleet of over 500,000 residential systems, our software operates at scale, requiring robust and efficient solutions. Opticaster also plays a key role in supporting grid stability through programs like demand response and by integrating with Autobidder to actively participate in energy markets. Opticaster is a customer-facing product: the software you build directly shapes how hundreds of thousands of homes and energy sites store, use, and export energy every day. As a Software Engineer on Opticaster, you will build the...

As a Software Engineer within the Autopilot AI Infrastructure team, you will work on reinforcing, optimizing, and scaling our infrastructure components supporting AI research activities for Autopilot and the Optimus. ​At the core of our autonomy capabilities are neural networks that the research team is designing to train on very large amounts of data, across large-scale GPU clusters. Robustly training these models at scale and in the shortest amount of time is critical to our mission. ​We are building and improving the in-house distributed training framework used by the research team to train production models, ensuring good ergonomics and flexibility for experimentation while providing good stability and performance. The Role Write robust Python software code in our machine learning training repository while applying best software practices to support the research team ​Increase the reliability of our training jobs by debugging and root causing failures across...

As a Software Engineer within the Autopilot AI Infrastructure team, you will work on reinforcing, optimizing, and scaling our infrastructure components supporting AI research activities for Autopilot and the Optimus. ​At the core of our autonomy capabilities are neural networks that the research team is designing to train on very large amounts of data, across large-scale GPU clusters. Robustly training these models at scale and in the shortest amount of time is critical to our mission. The Role Reduce wall clock time to convergence of our training jobs by identifying bottlenecks in the ML stack, from data-loading up to the GPU ​Integrate efficient, low-level code with the overall high-level training framework ​Profile our workloads and implement solutions to increase training efficiency ​Optimize workloads for efficient hardware utilization (e.g. CPU and GPU compute, data throughput, networking) Requirements Members of the Autopilot AI Infrastructure...

Tesla is looking for a highly motivated individual to join the Vehicle Software organization’s Systems Validation Team with a focus on high voltage systems including battery management, AC and DC charging, and HV power conversion. It is the responsibility of this team to validate all software driven, system level, vehicle requirements prior to any new hardware or software release or new product introduction. As a Systems Validation Engineer, you are expected to be an expert in your domain, have a deep understanding of the software/hardware dependencies in your system, and ensure our products achieve Tesla’s high standards for safety and customer experience prior to release. Tesla is continuously making improvements to its existing product line, as well as launching new products at a breakneck pace. As a Validation Engineer you must maintain a close relationship with all members of the design cycle to guarantee you are prepared to rigorously and comprehensively test all new...

The Chassis Controls software team is looking for brake, steering, stability, traction control Engineers to develop and calibrate world class chassis controls software. We are looking for both experienced candidates as well as newcomers eager to learn, who are looking to join a small team with large responsibilities. As a Chassis Controls Software Engineer, you will take on the full software development life cycle of chassis control features like Tesla in-house traction control and vehicle stability control from inception to development, calibration, testing, and release. Our team determines what problems to solve and works cross-functionally across hardware, software, vehicle dynamics, and controls to develop functions and features. We travel to proving grounds across the world to tune the calibration and perform extensive testing in-vehicle. We investigate service issues, address customer feedback, influence next generation hardware and controls architecture, and set the...

Tesla’s mission is to accelerate the world’s transition to sustainable energy, and our Robotaxi division is at the forefront of revolutionizing autonomous transportation. We aim to create a safe, efficient, and accessible network of self-driving vehicles that transform urban mobility. Our team is a dynamic and rapidly expanding group of innovators, engineers, and business leaders dedicated to building the future of transportation. We are seeking a talented Growth Engineer to join our Tesla Robotaxi Vehicle Software Team. This pivotal role will focus on driving user acquisition, engagement, retention, and monetization for the Robotaxi service through innovative, data-driven strategies and technical solutions. At Tesla Robotaxi, we’re not just building autonomous vehicles; we’re redefining how people experience transportation and scaling a groundbreaking service to millions. As a member of the Vehicle Software Robotaxi Team, you will play a critical role in shaping our expansion...

Our team productionizes and experiments with novel ML models for our custom HW- 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 co-designing ML models and their developing the associated deployment infrastructure that enables the seamless training, deployment, and inference of all neural networks that run at Tesla AI. 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...

As an Autonomy Camera Software Engineer, you will work at the intersection of embedded systems, computer vision, and AI to drive the development of Tesla’s imaging pipeline. Your primary focus will be to optimize camera software and overall system performance to deliver world-class image quality, critical for both neural network perception and human-facing displays. In this highly collaborative role, you’ll partner closely with hardware, computer vision, UI/UX, and system software teams to ensure Tesla’s camera systems provide the most accurate and useful representation of the world. Your code will interface directly with image sensors, ISPs (Image Signal Processors), codecs, telemetry systems, and AI models, all executing on the Tesla AI compute platform. You’ll play a key role in developing and refining software that enhances image quality and system efficiency. This includes building tools to benchmark and characterize 3A (auto-exposure, auto-white balance, autofocus) and...

The Tesla Sensing Software Team is looking for a sensing software engineer with expertise in state-of-the-art computer vision algorithms. The person in this role will need to be familiar with and has prior experience of machine learning and deep learning algorithms, proficient with programming and software engineering fundamentals, and work with hardware engineers and firmware engineers to develop efficient, and tightly integrated features. The candidate is also expected to be able to learn and adapt quickly to the fast-paced environment, get hands dirty in the lab or in the car for data collection and analysis, algorithm validation when needed to, and use it to root cause issues, and propose solutions. The Role Development of new computer vision algorithms for sensing applications Write python and C++ code to develop algorithms, analyze data and generate visualizations Work with hardware engineers and firmware engineers to develop efficient, and tightly integrated...

Specialize in network engineering in a global enterprise environment. This role will provide network engineering, implementation, analytical, and operational support. The engineer will ensure compliance to established system architecture, regulations and security policies, follow standards and best practices, and author and maintain support documentation. The Role Work closely with Staff/Senior Network Engineers on design and initiatives Work closely with Palo Alto Engineering teams and Construction and Facilities on initiatives Maintain current network systems within workplace and R&D sites Collaborate with workplace team on development network or electrical components and/or services to meet their needs Function as a Tier 1-2 escalation point Provision, implement, test/validate, and maintain networking services per solution design Monitor, analyze, and report metrics of network services Document network knowledgebase and operational “Run-Book”...

We're seeking a system software engineer to join our AI Platforms team, working on system software that powers our autonomous vehicle (Autopilot) and humanoid robot platforms. You'll collaborate with cross-functional teams to develop and deploy mission-critical software that manages complex sensor systems and real-time processing. You will get to work on one of the most advanced and widely deployed AI platforms and ship software that improves the driving experience for millions of customers. The Role Design and implement system software for sensors including GPS and IMU Develop and maintain Linux kernel modules and real-time embedded software Create robust system software architectures that handle inter-process communication between compute nodes Build telemetry and monitoring solutions for platform health and performance Drive technical requirements for next-generation autonomous systems Collaborate with hardware teams on bring-up...

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 geometric vision and 3D foundation model, tackling challenges related to both the car/bot dynamics and environmental perception. The Role Develop and refine models for estimating geometric entities using both modern neural network-based and classical vision techniques Leverage vast amounts of fleet data for algorithm development and validation Develop and deploy onboard computer vision systems that operate reliably across millions of Tesla vehicles worldwide Create and improve robust sensor calibration systems that perform consistently in complex and unpredictable environments 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 modern C++...

Tesla Sourcers find top software talent to power a abundant & autonomous future. This role partners closely with Recruiters, Engineers, and Engineering Managers to identify, attract, and assess exceptional candidates. We’re hiring top software engineers to build the systems behind Tesla’s most ambitious work. From custom chip design and AI inference to training and deploying large-scale models, we’re shaping the software that powers autonomy at scale. At the same time, we’re shaping the future of mobility - hiring engineers to design and ship the firmware, distributed systems, and core software that enables Robotaxi fleet operations and network-wide deployment. This is where software talent drives every layer of the stack, turning innovation into real-world impact. We’re looking for the next generation of builders to join us. The Role Utilize multiple tools and approaches, including AI-driven sourcing techniques, to identify and engage top talent Build robust software...

The Systems Validation team is responsible for validating all software driven, system level, vehicle requirements prior to any new hardware or software release or new product introduction. This includes inventing and building state of the art automated test infrastructure to increase the efficiency and precision of testing used throughout the development and validation cycle. The team is looking for multiple software and systems engineers to support Drive Systems, Brakes, Steering, Suspension, Crash Safety, Thermal Management, HVAC, Body Controls, Lighting, Access Controls, Battery Management, Charging, Power Conversion, High and Low Voltage Power Distribution and Autonomy. In this role, you will be responsible for designing, executing, and automating test strategies to validate cutting-edge vehicle software systems. Your work will directly impact the performance, reliability, and safety of Tesla’s vehicles by ensuring seamless integration of software across various subsystems....

As a Software Engineer within the Supercomputing AI Infrastructure team, you will work on scaling and optimizing our training compute clusters at the core of Robotaxi and the Optimus development. Tesla Supercomputing maintains, on premise, some of the largest supercomputers in the world. We’re currently scaling 100K+ GPU clusters, which are central to developing our autonomy capabilities. Robustly managing such a large system of AI training and HPC clusters requires software design through the stack: from the operating system to workload scheduling to ultimately the training loop. We are building and improving the workload scheduling systems that govern how hundreds of thousands of GPUs are allocated across training jobs, experiments, and data pipelines. In this role, you will own the Slurm-based scheduler at the heart of our AI HPC compute infrastructure, ensuring that cluster resources are utilized efficiently and that engineers can iterate quickly without friction The Role...

As a Software Engineer on Tesla AI’s RL Infrastructure team, you will build the systems that make large-scale reinforcement learning fast, stable, and flexible for ML engineers working on real-world AI problems. Your work on RL training will be critical for scaling Robotaxi and Optimus. We're looking for someone with practical experience in GPU inference performance, RL training infrastructure, or both. Your work will directly impact iteration speed, training throughput, system reliability, and the ability of ML engineers to move from prototype to large-scale experiments quickly. The Role Build infrastructure for large-scale reinforcement learning Improve performance and scalability of RL workloads Optimize training and inference latency, throughput, memory usage, and hardware utilization Develop tools for benchmarking, profiling, debugging, and monitoring Work closely with ML engineers to productionize new methods and workflows Debug bottlenecks...

As a member of the AIHW Infra team, you will play a critical role in supporting Tesla's AI hardware initiatives by developing automation, infrastructure, and services. Join a dynamic team of engineers dedicated to accelerating workloads through collaboration with AI HW design teams and High-Performance Computing (HPC) groups. Your primary focus will be building robust infrastructure solutions, while also assisting in debugging performance bottlenecks and root-causing cluster issues as needed. The ideal candidate is a proactive engineer with a passion for creating scalable, efficient systems. The Role Developing Python libraries to automate, monitor, measure, and troubleshoot workflows on AI hardware infrastructure Spending approximately 50% of time building automation and infrastructure, primarily in Python and other languages, with the remaining time focused on debugging, experimentation, and resolving infrastructure challenges and performance bottlenecks...

The Performance Optimization team takes research models and makes them run efficiently on Tesla's AI-ASICs, powering Autopilot and Optimus. This role sits at the intersection of AI research, compiler development, kernel optimization, and hardware design. You'll collaborate with AI researchers on novel quantization techniques, precision improvements, and non-standard architectures. You'll develop optimized kernels using our MLIR-based compiler stack to achieve real-time latency for self-driving and humanoid robots. You'll work directly with hardware teams to shape our next-generation AI5, AI6, and Dojo3 chips. The Role Implement, optimize, and profile highly performant kernels for inference and training on Tesla's AI and Dojo ASICs Optimize bottlenecks in the inference flow, make precision/performance tradeoff decisions, and develop novel techniques to improve hardware utilization and throughput Work on a variety of edge and datacenter workloads, from small...

Tesla is seeking a passionate engineer to join our Body Controls System Validation team and help define the future of vehicle interaction. As Tesla advances toward full autonomy, your vehicle becomes your personal chauffeur, one that understands what you want, anticipates your needs, and responds intuitively. Body controls systems are at the heart of this experience: doors that welcome you, seats that adjust to your preference, lighting that sets the mood, and an environment that adapts seamlessly, all without user lifting a finger. This role is critical in delivering that seamless, safe, and delightful autonomous experience. You'll develop innovative automated and manual test methods to simulate real-world vehicle, environmental, and user behaviors, working in a cutting-edge automation lab, alongside a highly capable team, building software, hardware, and mechanical solutions to push the boundaries of system-level validation. If you're excited about the intersection of software,...