Sr. Software & Machine Learning Engineer, Energy Optimization

What You'll Do

• Develop and maintain scalable machine learning models and algorithms for energy storage forecasting, demand modeling, and system optimization, including demand response and grid integration
• 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
• Build and maintain robust software pipelines for training, evaluating, and deploying ML models in production, ensuring reliability and efficiency
• Contribute to the development and maintenance of monitoring and simulation systems to ensure software reliability and scalability
• Proactively identify and resolve performance bottlenecks related to infrastructure, memory, and runtime efficiency
• Communicate technical concepts clearly to non-technical stakeholders to align development with business objectives

What You'll Bring

• Degree in Computer Science, Engineering, or equivalent experience
• Strong proficiency in Python and Linux environments; experience with Go or Rust is a plus
• Proven experience in developing and deploying scalable software systems, including writing production-level code and ensuring performance in real-world environments
• Experience with cloud and big data technologies such as AWS, Spark, Airflow, and Kubernetes
• Experience with CI/CD pipelines (e.g., GitHub Actions) and automating software deployment processes
• Familiarity with optimization techniques, machine learning, and time-series forecasting is highly valued
• Excellent communication skills and the ability to collaborate within cross-functional teams
• Experience in energy solutions, battery control systems, and a passion for sustainability and clean energy solutions
• Practical experience in optimization techniques, time-series forecasting, and machine learning model development, with a focus on energy storage and grid applications
• Experience managing containerized applications in embedded or firmware environments, and optimizing resource usage (e.g., memory, CPU) for efficient performance in constrained systems

Benefits

• Competitive pay
• Medical plans
• Family-building, fertility, adoption and surrogacy benefits
• Dental (including orthodontic coverage) and vision plans
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
• Employee Stock Purchase Plans
• Other financial benefits
• Company-paid (Health Savings Accounts) HSA Contribution
• Short-term and long-term disability insurance
• Employee Assistance Program
• Sick and Vacation time
• 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

Pay

Expected Compensation $140,000 - $300,000/annual salary + cash and stock awards + benefits