Data Engineer

Tesla Motors
Fremont, CA, United States
27 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$96,000.0 - $144,000.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Artificial Intelligence Computer Programming Continuous Integration Decision Support Systems Django Web Framework Global Distribution Systems Monitoring of Systems Network Topologies Python (Programming Language) Machine Learning NumPy
+17 more
Tensorflow Service-Oriented Architecture SQL Databases Digital Twin Pytorch ReactJS Large Language Models Prompt Engineering Pandas Build Management Containerization Scikit Learn Optimization Algorithms Machine Learning Operations Restful APIs Software Version Control Docker

Job description

We are seeking a highly skilled and driven Data Engineer to develop Inventory Optimization Models that identify strategies for reducing overall inventory levels while minimizing excess and obsolescence. You will be part of the Supply Chain Optimization team that is managing strategic projects and continuous improvement efforts for Tesla’s Global Distribution Network. The role requires the ability to build strong cross-functional working relationships with Material Planning, Logistics, Finance, Warehouse Operations and Service Operations teams. You will require a sharp business focus, a collaborative style of working, and a proactive and critical mindset. You need to acquire deep subject matter knowledge about systems, sourcing, planning and fulfillment processes to build models that drive impactful business changes. It is essential that you can think strategically, connect the dots in the bigger picture, as well as be comfortable in the details of the deliverables to drive operational improvements. The role is expected to simultaneously handle multiple projects of department-level scale and global reach. 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

Requirements

  • Degree in Data science, AI, Applied Math, Operations Research, or 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 & conditions

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

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on diversityjobs.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:34 min

Maximizing execution memory effectively via python numpy broadcasting

Jodie Burchell · LIVE

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · WWC 2025

2:03 min

Accelerating pandas dataframes using cudf module plugins

Ankit Patel Ankit Patel · WWC 2024

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:25 min

Replacing NumPy with cuPy for straightforward GPU acceleration

Paul Graham Paul Graham · WWC 2025

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

Videos

See all

Related articles

See all