Sr. Software & Test Automation Engineer, Energy Products

What to Expect

To ensure Tesla’s overall mission of accelerating the world’s transition to sustainable energy, the Tesla Energy team is bringing our world-leading battery technology to the grid. Tesla is leveraging its breakthrough firmware, electronics, test, and manufacturing capability to develop and deploy grid-connected storage at residential, industrial, and utility levels.

Tesla Energy is seeking a Sr. Software Development Engineer to push the boundaries of firmware, software, and hardware validation. You will lead the architecture and development of scalable, AI-driven test automation that continuously validates our cutting-edge energy storage systems, V2X, and solar products. By building robust CI/CD pipelines and intelligent analysis tools, you will accelerate testing and development cycles, ensuring our products meet the highest quality standards.

What You’ll Do

• Design and develop robust automated firmware/software testing solutions using Python, ensuring high reliability and repeatability
• Architect and maintain scalable test automation frameworks that support complex hardware and software systems
• Lead the development of AI agents that automate test generation, prioritization, refinement, and anomaly detection
• Drive AI-driven testing solutions by evaluating and integrating next-gen automation tools to optimize coverage, efficiency, and testing velocity
• Define best practices for automation integration into CI/CD pipelines
• Collaborate cross-functionally with system integration, software, and firmware engineers to define test strategies and develop automated test scripts
• Own firmware validation and regression testing on Energy Products, ensuring comprehensive coverage and release readiness

What You’ll Bring

• Degree in Electrical Engineering, Computer Engineering, or equivalent experience
• 5+ years of experience in test automation and hardware/software validation
• Experience leading technical initiatives and defining test automation strategy
• Experience developing AI agents and LLM-integrated workflows, including prompt design and validation automation
• Experience with pytest or similar test frameworks
• Proficiency in Python
• Proficiency with Git, CI/CD pipelines, and test management tools
• Electrical engineering fundamentals with working knowledge of basic EE tools (scopes, power supplies, electronic loads)
• Strong analytical and problem-solving skills with the ability to identify and surface issues within complex hardware/software systems
• Effective communicator with the ability to drive alignment across cross-functional teams