Tesla
Software Engineer, Model Scaling, Autopilot AI
Tesla, Palo Alto, California, United States, 94306
As a Software Engineer on Tesla's Autopilot AI team, you will play a crucial role in optimizing and scaling our neural network training infrastructure. You will join a specialized team of machine learning experts and have access to one of the world's largest model training clusters. Your primary focus will be to design, implement, and maintain high-performance applications for neural network training, evaluation, and data processing pipelines. Additionally, you will build supporting applications for profiling and debugging, and work on optimizing training and evaluation code to maximize efficiency and minimize resource usage.
Responsibilities
Design and Implement Large-Scale Data Pipelines: Build and maintain robust data processing pipelines that handle petabytes of autonomous vehicle data, including images, videos, and auto-generated labels, ensuring scalability and reliabilityOptimize Neural Network Training Processes: Support neural network training by optimizing code and data formats for faster data loading, orchestrating auto-labeling jobs, and debugging bottlenecks to enhance overall training efficiencyEnhance System Performance: Develop and implement automation, monitoring, and optimization tools to improve the efficiency of system performance, including resource utilization, parallelism, and data I/OCollaborate with Machine Learning Researchers: Work closely with researchers to understand and execute their data and infrastructure requirements, providing solutions that facilitate rapid experimentation and production-scale model deploymentDevelop Evaluation Tools and Dashboards: Create and maintain evaluation metrics, tools, visualizations, and dashboards to support the development and refinement of neural networksImplement Low-Level Integrations: Write efficient, low-level code that integrates with high-level training frameworks to enhance performance across various hardware platforms, including Dojo, Tesla's supercomputerStay Updated with ML Advancements: Keep abreast of the latest advancements and technologies in machine learning engineering to continually improve Tesla's AI infrastructureRequirements
Strong Software Engineering Skills: Extensive experience with Python and software engineering best practices, including code optimization and system-level programmingExperience with Deep Learning Frameworks: Proficiency in one or more deep learning frameworks, such as PyTorch or TensorFlow, with hands-on experience in optimizing model training processesData Manipulation and Analysis Expertise: Proficiency with data manipulation tools, including Jupyter notebooks, numpy, scipy, matplotlib, and scikit-learn, and experience handling large-scale data processingSystem Optimization and Debugging: Demonstrated experience in profiling and optimizing CPU/GPU code and debugging complex system-level software to ensure high performance and reliabilityDistributed Systems Experience: Proven track record of building and managing large-scale distributed systems, particularly in AI/ML workflows, with a deep understanding of parallel computing, resource utilization, and data handlingKnowledge of Storage and Data Formats: Strong understanding of underlying storage mechanisms and experience designing and optimizing data formats for machine learning workflowsFamiliarity with High-Performance Networking: Experience with high-performance networking technologies, such as Infiniband, RDMA, and NCCL, is a plusPassion for AI and Machine Learning: A deep understanding of machine learning concepts and a passion for staying current with the latest advancements in AI research and engineeringCompensation and BenefitsBenefits
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)LGBTQ+ care concierge services401(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 programExpected Compensation
$116,000 - $360,000/annual salary, depending on level + 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.
Responsibilities
Design and Implement Large-Scale Data Pipelines: Build and maintain robust data processing pipelines that handle petabytes of autonomous vehicle data, including images, videos, and auto-generated labels, ensuring scalability and reliabilityOptimize Neural Network Training Processes: Support neural network training by optimizing code and data formats for faster data loading, orchestrating auto-labeling jobs, and debugging bottlenecks to enhance overall training efficiencyEnhance System Performance: Develop and implement automation, monitoring, and optimization tools to improve the efficiency of system performance, including resource utilization, parallelism, and data I/OCollaborate with Machine Learning Researchers: Work closely with researchers to understand and execute their data and infrastructure requirements, providing solutions that facilitate rapid experimentation and production-scale model deploymentDevelop Evaluation Tools and Dashboards: Create and maintain evaluation metrics, tools, visualizations, and dashboards to support the development and refinement of neural networksImplement Low-Level Integrations: Write efficient, low-level code that integrates with high-level training frameworks to enhance performance across various hardware platforms, including Dojo, Tesla's supercomputerStay Updated with ML Advancements: Keep abreast of the latest advancements and technologies in machine learning engineering to continually improve Tesla's AI infrastructureRequirements
Strong Software Engineering Skills: Extensive experience with Python and software engineering best practices, including code optimization and system-level programmingExperience with Deep Learning Frameworks: Proficiency in one or more deep learning frameworks, such as PyTorch or TensorFlow, with hands-on experience in optimizing model training processesData Manipulation and Analysis Expertise: Proficiency with data manipulation tools, including Jupyter notebooks, numpy, scipy, matplotlib, and scikit-learn, and experience handling large-scale data processingSystem Optimization and Debugging: Demonstrated experience in profiling and optimizing CPU/GPU code and debugging complex system-level software to ensure high performance and reliabilityDistributed Systems Experience: Proven track record of building and managing large-scale distributed systems, particularly in AI/ML workflows, with a deep understanding of parallel computing, resource utilization, and data handlingKnowledge of Storage and Data Formats: Strong understanding of underlying storage mechanisms and experience designing and optimizing data formats for machine learning workflowsFamiliarity with High-Performance Networking: Experience with high-performance networking technologies, such as Infiniband, RDMA, and NCCL, is a plusPassion for AI and Machine Learning: A deep understanding of machine learning concepts and a passion for staying current with the latest advancements in AI research and engineeringCompensation and BenefitsBenefits
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)LGBTQ+ care concierge services401(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 programExpected Compensation
$116,000 - $360,000/annual salary, depending on level + 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.