31 ai safety operator jobs found

In this role you’ll support the design, construction, launch, and transfer of geartrain manufacturing lines and equipment used in Optimus Actuators. This role will prioritize successful design and launch of production line while maintaining maximum efficiency, production volume, and safety while validating performance and fully documenting all aspects of the project for handover to sustaining operations. The ideal candidate will bring deep technical expertise in high-volume geartrain manufacturing lines and the successful introduction of new technologies to mass production line. They must demonstrate experience translating manufacturing requirements into efficient, detailed production line designs that are robust and practical to implement . In this position, you will take ownership of production line creation of specialized equipment from concept through line launch completion—defining performance requirements, running process flow simulations as needed to validate solutions...

Criminal Investigator Department of Homeland Security Immigration and Customs Enforcement Homeland Security Investigations (HSI) Apply Print Share Save Summary This job is open to Duties Requirements How you will be evaluated Required documents How to apply   Summary View  Common Definitions  of terms found in this announcement. Organizational Location:  These positions are located in the Department of Homeland Security, U.S. Immigration and Customs Enforcement, Homeland Security Investigations. Locations listed below. These are non-bargaining unit positions. Learn more about this agency This job is open to Help Career transition (CTAP, ICTAP, RPL) Federal employees whose job, agency or department was eliminated and are eligible for priority over other...

Job Description and Duties   Cal OES is seeking a detail-oriented technology professional to support California’s emerging  Artificial Intelligence (AI) Safety Reporting Program . As a Cyber Policy and Strategy Planner within the Homeland Security Division’s California Cybersecurity Integration Center (Cal-CSIC), you will help design and refine AI safety policies, playbooks, and procedures, analyze critical incident submissions, and prepare clear, accurate summaries and legislative reports.  Key responsibilities include reviewing and analyzing AI safety incident reports, compiling and interpreting data for annual reporting, coordinating with partners...

Tesla is looking for an experienced Senior Incident Investigation and Support Engineer for the Field Quality, Data Analysis and Engineering team. This role will support the Incident Investigation, Safety and Regulatory & Legal teams. The individual will be dedicated to investigations of field incidents, which includes pulling, assessing and summarizing vehicle information from CAN (Controller Area Network) logs, EDR (Event Data Recorder) data and other telemetry sources to respond to regulatory information requests.  In addition, the individual will provide input for incident investigators in the field and provide feedback regarding collision performance to Engineering teams. The Role Assess field incidents for compliance with regulatory reporting Compile CAN log, EDR and other telemetry data for a given incident or incidents in order to meet information requests from regulatory authorities Provide input in discerning incident events, vehicle operation and...

The Manufacturing Quality Data Engineering team specializes in predicting safety critical issues before they occur, protecting our customers. As part of Tesla's Vehicle Engineering organization, you'll have access to the data gold mine of design, manufacturing, and vehicle data sources, enabling you to design, develop, and deploy innovative generative AI and machine learning platforms globally. In this role, you'll focus on integrating systems with processes, equipment data sources, and configurations, as well as iterating on use cases with stakeholders. The Role Collaborate with stakeholders to gather feedback, understand use cases, translate them into clear requirements, and create and track user stories and tasks Facilitate system and process configurations through iterative discussions with the stakeholders to achieve business objectives Perform basic troubleshooting and user support, including responding to questions, triaging bugs, escalating issues as needed,...

Tesla’s AI Infrastructure team builds the software that turns GPUs and custom silicon into reliable, efficient training capacity for Autopilot, Optimus, Robotaxi, and Dojo. We own the systems layer between bare metal and researchers: cluster lifecycle, fleet automation, observability, scheduling interfaces, and the control-plane software that keeps multi-node training jobs healthy at scale. In this role, you'll work as a software engineer in a high-performance environment, shipping production services and tooling that operate thousands of accelerated machines, not only configuring them by hand. You'll design, build, and operate software that provisions, monitors, heals, and optimizes our AI training fleets. You treat the cluster as a product: APIs, automation pipelines, reliability signals, and abstractions that make supercomputing capacity safe and fast for ML users. You’ll focus on distributed-systems and systems-software problems (hosts, accelerators, fabric, storage,...

The AI Evaluation team is the main line of defense in ensuring product safety. Working alongside our AI team, you will design metrics for open and closed loop simulation testing on telemetry collected from the fleet. These results help drive key decisions about end-to-end model architecture, data integrity, and exported model performance. Your work will directly impact L4 Unsupervised robotaxi operation, FSD v14+ customer satisfaction, and Optimus success. A strong candidate will have a computer science, ML or robotics engineering background, strong attention to detail, self-driven attitude, and passion to make an impact. The Role Design metrics to evaluate model predictions and vehicle motion across every scenario a self -driving robotaxi could ever encounter Work with AI researchers to evaluate & compare end-to-end FSD models Own projects from inception to completion and present projects to org leadership Build tooling and automation to validate open-loop and...

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...

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 a global leader in innovation, driving advancements in autonomous vehicles and humanoid robotics. Our state-of-the-art AI platform powers some of the most sophisticated systems in the world, including Autopilot and our next generation humanoid robot, Optimus. Integration Engineers on the Autonomy team, work at the intersection of AI, robotics, and systems integration, bringing Tesla’s cutting-edge technology to life across both vehicle and robotic platforms. This role blends software development, system level problem solving, and cross functional collaboration to ensure seamless performance across our full autonomy stack. They work closely with teams spanning hardware, AI, controls, and safety to develop and implement features that push the boundaries of what’s possible in autonomous systems. The work will also play a vital role in defining and validating safety and reliability specifications for driverless operation. This includes designing fault tolerant mechanisms...

Tesla is at the forefront of developing humanoid robots, known as Optimus or Tesla Bot, on a large scale to revolutionize automation in manufacturing and material handling. By using advanced AI, Optimus will enable highly adaptable and autonomous operation. As part of our Robotic Hardware Validation team, we are seeking an exceptional Electrical Hardware Validation Engineer to play a critical role in testing and validating the Tesla Bot. You will design and implement comprehensive tests at system, sub-system and component levels, which will ensure the reliability, performance, and safety of our cutting-edge humanoid robot. As an entry-level engineer, you will take direction from senior engineers while assuming full responsibility for the tests you design and run, providing summaries directly to leadership. The Role Work with design partners to create test plans Design and implement hardware test systems to facilitate design characterization and reliability testing...

Tesla is seeking a world-class Global Supply Manager (GSM) to lead the end-to-end sourcing strategy for advanced thermal dissipation systems that enable the reliable operation of next-generation vehicle computing platforms. These systems are critical for cooling high-power, high-density chips—such as the Full Self-Driving (FSD) computer, AI inference accelerators, and power electronics—under extreme automotive conditions (wide temperature ranges, vibration, humidity, and long-term durability). You will own the full supply chain lifecycle for thermal solutions including liquid cooling loops, cold plates, thermal interface materials (TIMs), heat spreaders, vapor chambers, and integrated thermal packaging—all engineered to deliver consistent performance, longevity, and safety in real-world driving environments. This role demands deep technical insight into thermal physics, materials science, and manufacturing scalability, combined with strategic sourcing excellence. You’ll work at...

Tesla is at the forefront of developing humanoid robots, known as Optimus, on a large scale to revolutionize automation in manufacturing and material handling. We leverage advanced AI for highly adaptable and autonomous operation. As part of our Optimus Hardware Validation team, we're seeking an exceptional test and validation engineer to design and implement comprehensive tests at sub-system and system levels for actuator validation. You'll develop innovative methodologies to ensure the reliability, performance, and safety of our cutting-edge actuators. This highly cross-functional role involves collaborating with design engineers, software developers, and firmware engineers to create efficient testing that delivers optimal results in minimal time. You will take direction from a senior engineer, while assuming full responsibility over the tests you design and run, providing summaries directly to teams. The ideal candidate solid background in mechatronic and/or electric...

Tesla's Optimus team is building the future of humanoid robotics and as our fleet scales globally, the service infrastructure that keeps robots operational becomes a strategic differentiator. We are seeking a Technical Program Manager to coordinate and execute service optimization work across the Optimus Service network: helping develop the procedures technicians rely on, supporting new service location bringup, contributing to fleet usage forecasting, and running the day-to-day process improvements that make our service operation faster, safer, and more consistent. This role is hands-on, cross-functional, and execution-focused. The Role Collaborate with the service procedures team to ensure all technician repair procedures are accurate and current as our hardware evolves Support new service location bringup by tracking readiness checklists, coordinating tooling and parts provisioning, scheduling technician training, and making sure nothing slips between Facilities,...

Tesla is at the forefront of developing humanoid robots, known as Optimus, on a large scale to revolutionize automation in manufacturing and material handling. We leverage advanced AI for highly adaptable and autonomous operation. As part of our Optimus Hardware Validation team, we're seeking an exceptional System Engineer to design and implement comprehensive tests at sub-system and system levels for hand validation. You'll develop innovative methodologies to ensure the reliability, performance, and safety of our cutting-edge robotic hand. This highly cross-functional role involves collaborating with design engineers, software developers, and controls experts to create efficient testing that delivers optimal results in minimal time. You will take direction from a senior engineer, while assuming full responsibility over the tests you design and run, providing summaries directly to teams. The ideal candidate possesses a strong background in mechanical engineering with proven...

Tesla is at the forefront of developing humanoid robots, known as Optimus, on a large scale to revolutionize automation in manufacturing and material handling. We leverage advanced AI for highly adaptable and autonomous operation. As part of our Optimus Hardware Validation team, we're seeking an exceptional test and validation engineer to design and implement comprehensive tests at sub-system and system levels for actuator validation. You'll develop innovative methodologies to ensure the reliability, performance, and safety of our cutting-edge actuators. This highly cross-functional role involves collaborating with design engineers, software developers, and firmware engineers to create efficient testing that delivers optimal results in minimal time. You will take direction from a senior engineer, while assuming full responsibility over the tests you design and run, providing summaries directly to teams. The ideal candidate solid background in mechatronic and/or electric...

Tesla is at the forefront of developing humanoid robots, known as Optimus, on a large scale to revolutionize automation in manufacturing and material handling. We leverage advanced AI for highly adaptable and autonomous operation. As part of our Optimus Hardware Validation team, we're seeking an exceptional test and validation engineer to design and implement comprehensive tests at sub-system and system levels for actuator validation. You'll develop innovative methodologies to ensure the reliability, performance, and safety of our cutting-edge actuators. This highly cross-functional role involves collaborating with design engineers, software developers, and firmware engineers to create efficient testing that delivers optimal results in minimal time. You will take direction from a senior engineer, while assuming full responsibility over the tests you design and run, providing summaries directly to teams. The ideal candidate solid background in mechatronic and/or electric...

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 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...

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...