Tesla

Makes electric cars, robotaxis and grid batteries

Senior System Performance Engineer - Residential Charging Products

Power Systems EngineeringConfirmed live in the last 24 hours

Full-timePalo Alto, CA, USANo salary listed

About the Job

Requirements

A degree in Engineering or Computer Science, or equivalent experience.
Strong analytical skills and proficiency in SQL and Python for large-scale data analysis.
Experience with power electronics, electrical design, or failure analysis on products involving power converters, inverters, or control systems.
Hands-on experience using electrical test equipment such as multimeters and oscilloscopes to troubleshoot and debug hardware.
Experience using AI or large language model tools such as Claude Code or GitHub Copilot in engineering workflows to accelerate coding, debugging, documentation, and problem-solving.
Experience leading or participating in 8D or similar structured failure analysis processes from issue identification through countermeasure implementation and monitoring.
Experience with reliability engineering methodologies such as FMEA, DFMEA, and FTA, and statistical analysis of fleet data to identify failure modes, evaluate product reliability, and drive improvements in charging products or vehicles.
Ability to produce clear, concise written documentation with attention to detail.
Strong communication skills for cross-functional collaboration.

Responsibilities

Serve as the primary technical point of contact and subject matter expert for charging and V2X products, systems, and subsystems.
Develop algorithms, procedures, guidelines, and technical documentation to enable cross-functional teams.
Investigate complex product and system issues using first-principles analysis to identify root causes.
Collaborate with cross-functional stakeholders to develop and deploy firmware and hardware solutions, then measure the effectiveness of implemented fixes.
Develop, own, and maintain service diagnostics for global residential energy products, and automate diagnostics for deployment across the fleet.
Define and monitor fleet reliability KPIs and charging performance metrics to maintain fleet health.
Use SQL and Python, including NumPy and Pandas or similar tools, to query fleet logs, identify systemic performance gaps, and drive continuous improvement initiatives.
Author regular technical reports summarizing failure trends, countermeasure effectiveness, and actionable insights.
Communicate technical findings to executive leadership.
Use AI-powered tools such as Claude Code and GitHub Copilot to accelerate code generation, test automation, documentation development, and diagnostic reasoning.
Travel less than 5% for activities that may include visits to lab sites, customer sites, and manufacturing facilities.

Desired Qualifications

Experience with EVSEs, vehicles, or battery storage products is a plus.

Category	Energy Engineering
Location	Palo Alto, California
Requisition ID	272838
Type	Full-time

Job Description

Tesla Energy is accelerating the world's transition to sustainable energy through a rapidly growing fleet of residential solar, battery energy storage systems (BESS), and charging systems deployed across hundreds of thousands of homes globally. Our distributed network generates terabytes of real-time telemetry data daily, creating an unparalleled opportunity to understand real-world hardware performance at scale. We are seeking a System Performance Engineer to own the end-to-end product lifecycle for our residential charging and V2X systems. You will be the technical bridge between fleet data, field failures, and engineering teams, diagnosing complex failure modes, leading root cause investigations, and driving corrective actions that improve performance for hundreds of thousands of customers. This is a high-impact, hands-on role with direct visibility to senior leadership. You'll work across the full stack: interpreting telemetry and debugging hardware in the field, writing Python scripts that analyze fleet-wide failure patterns and leveraging SI tools to accelerate diagnostics and documentation. As the owner of fleet health from a product performance perspective, you'll help shape the future of Tesla's residential energy hardware.

Job Responsibilities

Product Ownership: Serve as the primary technical point of contact and subject matter expert for charging and V2X products, systems, and subsystems. Develop algorithms, procedures, guidelines, and technical documentation to enable cross-functional teams
Complex Problem Solving: Investigate challenging product and system issues using first-principles analysis to identify root causes. Collaborate with cross-functional stakeholders to develop and deploy firmware and hardware solutions, then measure the efficacy of implemented fixes
Diagnostic Development and Ownership: Develop, own, and maintain all service diagnostics for global residential energy products. Automate diagnostics to enable deployment at scale across the fleet
Fleet health Management: Define and monitor fleet reliability KPIs and charging performance metrics to maintain optimal fleet health. Use SQL and Python (NumPy, Pandas, or similar) to query fleet logs, proactively identify systemic performance gaps, and drive continuous improvement initiatives
Executive Reporting: Author regular technical reports summarizing failure trends, countermeasure effectiveness, and actionable insights. Communicate complex technical findings clearly and concisely to executive leadership
AI & Advanced Tooling: Leverage AI-powered tools (e.g., Claude Code, GitHub Copilot) to accelerate code generation, test automation, documentation development, and diagnostic reasoning

Job Requirements

Degree in Engineering, Computer Science or equivalent experience
Strong analytical skills with proficiency in SQL and Python for large-scale data analysis
Experience with power electronics, electrical design, or failure analysis on products involving power converters, inverters, or control systems. Experience with EVSEs, vehicles, or battery storage products a plus
Proven hands-on experience using electrical test equipment (multimeters, oscilloscopes) to troubleshoot and debug hardware
Demonstrated experience with AI/LLM tools (Claude Code, GitHub Copilot, or similar) in engineering workflows to accelerate coding, debugging, documentation, and problem-solving
Experience leading or participating in 8D or similar structured failure analysis processes, from identification through countermeasure implementation and monitoring
Experience with reliability engineering methodologies (FMEA, DFMEA, FTA) and statistical analysis of fleet data to identify failure modes, evaluate product reliability, and drive improvements in charging products or vehicles
Exceptional attention to detail with the ability to produce clear, concise written documentation
Strong communication skills for cross-functional collaboration
Work travel is expected to be <5% in this job. This could include traveling to lab sites, customer sites, our manufacturing facilities, etc.

About the Company

Tesla

Makes electric cars, robotaxis and grid batteries

Tesla makes electric cars and batteries that store power for homes and utilities, and it develops self-driving software and humanoid robots. In 2023, its Model Y became the first electric vehicle to rank as the world's best-selling car. Buyers order the Model 3 sedan, Model Y SUV, or Cybertruck pickup directly from Tesla instead of through dealers, and they charge on its Supercharger fast-charging network. It also sells Megapack and Powerwall batteries, runs a robotaxi service, and charges drivers a monthly fee for self-driving software that still needs their supervision. Tesla was founded in 2003, with Elon Musk as its lead early investor and a recognized co-founder, and it is based in Austin, Texas.

Company size: 10,001+
Company stage: IPO
Headquarters: Austin, TX
Founded: 2003

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