Data Engineer

What You'll Do

• Build and deploy production-grade multi-echelon inventory optimization to minimize inventory levels, reduce excess and obsolescence, and improve service levels across Tesla's global distribution network
• Develop and integrate Digital Twin capabilities that unify inbound supply, outbound demand, logistics constraints, warehouse capacity, and network topology to enable near-real-time inventory visibility and decision support
• Architect, own, and operate end-to-end production ML pipelines, including CI/CD, model versioning, and orchestration, to ensure scalable, modular, reliable, and high-performance inventory optimization systems
• Design and implement intelligent inventory management agents with capabilities such as demand signal detection, stockout risk identification, and exception-based action-routing workflows
• Optimize multi-model architectures that integrate demand sensing, lead time variability, supplier reliability, and service-level constraints to improve forecast accuracy, reduce inventory carrying costs, and support enterprise-scale throughput
• Build and execute large-scale what-if simulations and sensitivity/stress tests to evaluate inventory positioning strategies, quantify impacts on cost, service levels, and warehouse operations, identify supply chain bottlenecks and resiliency gaps, and translate insights into actionable recommendations
• Translate complex quantitative results into clear narratives and visualizations, enabling leadership to make informed tradeoffs between inventory investment, service levels, and operational complexity across the global supply chain

What You'll Bring

• Degree in Data science, AI, Applied Math, Operations Research, or equivalent experience
• Strong foundation in mathematics, algorithms, and optimization techniques
• Proven hands-on experience designing, deploying, and scaling enterprise-grade AI/ML solutions, including building production-ready models, embedding them into business workflows, and ensuring reliability, performance, and scalability in real-world environments
• Deep expertise in large language models, autonomous AI agents, prompt engineering, and modern AI frameworks such as LangChain and LlamaIndex
• Strong programming proficiency in Python and SQL, with experience using libraries such as NumPy, pandas, scikit-learn, TensorFlow, and PyTorch
• Hands-on experience developing full-stack applications using Django (Python), Java-based services, and React, with a solid understanding of RESTful API design, integration, and service-oriented architectures
• Knowledge of MLOps best practices, including CI/CD pipelines, model monitoring, and experience with containerization and orchestration tools such as Docker and Kubernetes

Benefits

• Compensation and Benefits
• Medical plans > plan options with $0 payroll deduction
• 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
• Flexible Spending Accounts (FSA)
• 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
• 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

$96,000 - $144,000/annual salary + cash and stock awards + benefits