Tesla

Machine Learning Engineer, Destination & Special Behaviors, Self-Driving Join to apply for the Machine Learning Engineer, Destination & Special Behaviors, Self-Driving role at Tesla . Job Overview Tesla is seeking an experienced applied Machine Learning Engineer to develop models that enhance autonomous driving capabilities across current and future vehicle models. You will work in a dynamic team with access to extensive training resources, and your work will directly impact millions of Tesla customers. Responsibilities Develop novel techniques for managing start and end of trip behaviors in Robotaxi services. Utilize extensive driving data to build scalable, robust end-to-end learning systems for self-driving. Apply advanced techniques such as generative modeling, imitation learning, and reinforcement learning to improve planning and reasoning. Collaborate across teams on data generation, model training, and deployment. Experiment with data collection methods to improve training datasets. Integrate models with vehicle firmware and ensure safe, production-quality software deployment. Qualifications Proficiency in Python and major deep learning frameworks, with strong software engineering skills. Deep understanding of modern deep learning architectures and optimization techniques. Experience deploying ML models for self-driving or robotics at scale. C++ experience is a plus for vehicle firmware integration. Benefits Competitive salary, stock options, and comprehensive benefits starting from day one, including health plans, parental benefits, flexible spending accounts, 401(k), insurance, employee assistance programs, and more. Compensation Salary range: $140,000 - $420,000 annually, plus bonuses and stock awards. Exact compensation depends on experience and location.

Machine Learning Engineer, Motion Planning, Self-Driving Join to apply for the Machine Learning Engineer, Motion Planning, Self-Driving role at Tesla Machine Learning Engineer, Motion Planning, Self-Driving 1 year ago Be among the first 25 applicants Join to apply for the Machine Learning Engineer, Motion Planning, Self-Driving role at Tesla What To Expect 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. What You'll Do Leverage millions of miles of driving data and interventions to build a robust and scalable end-to-end learning based self-driving systemUse cutting-edge techniques from generative modeling, imitation learning, and reinforcement learning to improve the planning and reasoning capabilities of our driving modelsExperiment with data generation and fleet data collection approaches to enhance the diversity and quality of training dataIntegrate directly with vehicle firmware and ship production quality, safety-critical software to the entirety of Tesla's vehicle fleet What You'll Bring Strong experience with Python, any major deep learning framework, and software engineering best practicesAn "under the hood" knowledge of deep learning modern architectures, optimization, model alignment, etc.Proven expertise in deploying production ML models for self-driving, robotics, or natural language processing at scaleComfort with C++ to help integrate with vehicle firmware and take projects from ideas to shipped products Benefits Compensation and Benefits Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire: Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deductionFamily-building, fertility, adoption and surrogacy benefitsDental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contributionCompany Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSAHealthcare and Dependent Care Flexible Spending Accounts (FSA)401(k) with employer match, Employee Stock Purchase Plans, and other financial benefitsCompany paid Basic Life, AD&D, short-term and long-term disability insuranceEmployee Assistance ProgramSick and Vacation time (Flex time for salary positions), and Paid HolidaysBack-up childcare and parenting support resourcesVoluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insuranceWeight Loss and Tobacco Cessation ProgramsTesla Babies programCommuter benefitsEmployee discounts and perks program Expected Compensation $140,000 - $420,000/annual salary + cash and stock awards + benefits Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. , TeslaSeniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionEngineering and Information Technology IndustriesMotor Vehicle Manufacturing, Renewable Energy Semiconductor Manufacturing, and Utilities Referrals increase your chances of interviewing at Tesla by 2x Get notified about new Machine Learning Engineer jobs in Palo Alto, CA . 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ASIC RTL Design Engineer, AI Hardware Tesla The Tesla AI Hardware team is looking for a Senior ASIC RTL Design Engineer to work on industry-leading AI accelerators in Palo Alto, CA. The candidate is expected to implement and document microarchitecture specifications, define system level functional requirements, and deliver high quality designs to achieve project targets. Responsibilities Develop micro architecture specifications and design Deliver performance, area, and power efficient RTL design Design RTL, microarchitecture, and specifications of accelerators, memory, and network subsystems Collaborate with architecture and software teams to meet design targets Balance performance, power, safety, and cost requirements Evaluate trade offs of functional, physical, and performance requirements Work with cross functional teams, including implementation, verification, and performance engineering Design for synthesis Qualifications High performance (low latency, high bandwidth) design techniques Area and power efficient complex RTL design experience Low power microarchitecture techniques Proficiency in Verilog RTL logic design Experience with simulators and waveform debug tools Knowledge of logic design principles, including timing and power implications Degree in Electrical Engineering, Computer Science, or equivalent Five or more years of industry experience Experience with IEEE floating point (plus) Experience with high speed SERDES or SOC design (plus) Benefits Aetna PPO and HSA plans with $0 payroll deduction medical options Family building, fertility, adoption, and surrogacy benefits Dental and vision plans with $0 paycheck contribution Health Savings Account (HSA) contributions for high deductible plans Flexible Spending Accounts for healthcare and dependent care 401(k) with employer match, ESPP, and other financial benefits Basic life, AD&D, short and long term disability insurance Employee Assistance Program Paid sick, vacation, and holidays Back up childcare and parenting support Critical illness, hospital indemnity, accident insurance, theft & legal services, pet insurance Weight loss and tobacco cessation programs Tesla Babies program Commuter benefits Employee discounts and perks Compensation Expected compensation: $120,000 - $264,000 annual salary plus cash and stock awards and benefits. Pay offered may vary based on location, experience, and other factors. Employment Type: Full time Seniority Level: Mid Senior Level Job Function: Engineering and Information Technology; Industries: Motor Vehicle Manufacturing, Renewable Energy and Semiconductor Manufacturing, Utilities Location: Palo Alto, CA

Staff Software Engineer, Opticaster at Tesla What To Expect 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 such as demand response and by integrating with Autobidder to actively participate in energy markets. As a Staff Software Engineer, you will be instrumental in developing and maintaining the software systems that power Tesla's residential energy solutions. You will work on creating scalable, efficient software architectures and integrating them with Tesla's energy products. While algorithm and optimization experience is a plus, the focus will be on delivering high quality software that enables our energy solutions to scale effectively. This is your opportunity to drive the future of sustainable energy by working on cutting edge technologies that enhance the efficiency and reliability of Tesla's energy ecosystem. What You'll Do Develop and maintain scalable software algorithms for energy storage solutions, ensuring reliable performance in production environments Design and implement new features to enhance customer facing applications and improve user experience Optimize deployment processes through CI/CD, containerization, and infrastructure management, ensuring smooth operations and efficient updates Collaborate with cross functional teams to integrate software systems into Tesla's ecosystem, ensuring seamless deployment and operation Manage containerized applications in embedded and firmware environments, optimizing resource usage and ensuring performance in constrained systems Proactively identify and resolve performance bottlenecks related to infrastructure, memory, and runtime efficiency Contribute to the development and maintenance of monitoring and simulation systems to ensure software reliability and scalability Communicate technical concepts clearly to non technical stakeholders to align development with business objectives What You'll Bring Degree in Computer Science, Computer Engineering, or equivalent experience Strong proficiency in Python and Linux environments; experience with Go or Rust is a plus Proven experience developing and deploying scalable software systems, including writing production level code and ensuring performance in real world environments Experience with CI/CD pipelines (e.g., GitHub Actions) and automating software deployment processes Experience managing containerized applications in embedded or firmware environments, and optimizing resource usage (e.g., memory, CPU) for efficient performance in constrained systems Experience with cloud and big data technologies such as AWS, Spark, Airflow, and Kubernetes Familiarity with optimization techniques, machine learning, and time series forecasting is highly valued Excellent communication skills and ability to collaborate in a cross functional team environment Experience in energy solutions, battery control systems, and a passion for sustainability and clean energy solutions Strong problem solving skills and ability to adapt to rapidly changing technology and business needs Benefits Medical plans with options having $0 payroll deduction Family building, fertility, adoption, and surrogacy benefits Dental (including orthodontic coverage) and vision plans with $0 paycheck contribution Company paid Health Savings Accounts (HSA) contribution when enrolled in the High Deductible medical plan with HSA Healthcare and Dependent Care Flexible Spending Accounts (FSA) 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits Company paid Basic Life, AD&D Short term and long term disability insurance (90 day waiting period) Employee Assistance Program Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays Back up childcare and parenting support resources Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance Weight Loss and Tobacco Cessation Programs Tesla Babies program Commuter benefits Employee discounts and perks program Expected Compensation $133,440 - $292,800/annual salary + cash and stock awards + benefits. Pay offered may vary depending on multiple individualized factors, including market location, job related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

A leading automotive and energy company is seeking a Senior ASIC RTL Design Engineer with a focus on AI hardware in Palo Alto, CA. The ideal candidate will have 5+ years of experience and expertise in high-performance RTL design techniques. Responsibilities include developing micro-architecture specifications, collaborating with cross-functional teams, and ensuring efficient design. The role offers a competitive salary range of $120,000 to $264,000 along with comprehensive benefits, making it an attractive opportunity for qualified candidates.