Software Engineer, MLOps, Manufacturing Quality

What to Expect 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 developing the machine learning operation infrastructure of the global machine learning platforms. What You'll Do Design scalable system architecture for AI applications, including generative AI, time-series signal processing, and high-resolution curve platforms, to unblock key ML roadmap initiatives and support the end-to-end MLOps lifecycle Build reliable, distributed infrastructure for ML and AI agents, emphasizing GPU-optimized environments and high-availability setups Roll out advanced model versioning and A/B testing and evaluation frameworks to enhance AI agent performance and integration Architect data pipelines and automation systems for efficient batch and real-time data handling from global sources, reducing deployment backlogs and improving scalability Implement robust data storage solutions using relational, NoSQL, and graph databases to manage large-scale datasets for time-series and high-resolution curve data Establish reliability standards in MLOps operations, with metrics for availability and uptime, while overseeing CI/CD, monitoring, and distributed training systems What You'll Bring Bachelor's Degree in Computer Science, Information Technology, or a related field, or equivalent experience 3+ years of work experience in software development Experience with software engineering technologies, including Python, Docker, Kubernetes, MySQL, Microsoft SQL, MongoDB, Elasticsearch, Apache Kafka, and ETLs Experience with machine learning frameworks and technologies, including Large Language Model, Retrieval Augmented Generation, LangGraph, TensorFlow, PyTorch, scikit learn, and graph neural networks Strong attention to details and diligent in unit testing and integration testing practices Experience working in a fast paced environment with many different projects Compensation and Benefits Benefits Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire: Medical plans > plan options with $0 payroll deduction Family-building, fertility, adoption and surrogacy benefits Dental (including orthodontic coverage) and vision plans, both have options with a $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 $140,000 - $252,000/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. Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws. Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.