Software Engineer, Abuse & Anomaly Detection, High Voltage Systems

About the role

Software Engineer, Abuse & Anomaly Detection, High Voltage Systems | Tesla (Vehicle Software)

Location: PALO ALTO, California | Req ID: 283693 | Job Type: Full-time

What to Expect

The High Voltage Systems firmware team owns battery management, charging, and power conversion for Tesla vehicles and humanoid robots. Together, we push the limits of physics on a daily basis. The Abuse & Anomaly Detection sub-team is focused on reliably identifying when these mechanical, electrical, and electrochemical systems fail.

You'll own the full lifecycle: conducting hardware/software co-design alongside electrical, test, and integration engineers, writing embedded drivers, developing and integrating real-time algorithms, and monitoring how they perform across the fleet. Your work will run on millions of vehicles driving hundreds of millions of miles a day, so robustness to sensor noise, manufacturing variation, environmental extremes, and aging is central to the job. That is what keeps our fleet on the road.

What You'll Do

• Work with electrical, mechanical, reliability, manufacturing, and validation teams to define and meet requirements for new diagnostics
• Design, implement, and deploy real-time detection algorithms using statistical and classical machine learning methods
• Develop low-level firmware drivers for new sensors and microcontrollers, including hardware bring-up, investigations, and physical testing
• Validate algorithms through dedicated abuse and reliability testing, including hands-on support at test sites
• Own algorithm performance after launch through large-scale fleet data analysis
• Partner with manufacturing to develop novel end-of-line test flows that deliver high quality at high volume

What You'll Bring

• Proficiency in C and/or C++, and in Python or another scripting language
• Solid grounding in probability, statistics, and classical machine learning (detection, regression, classification), through coursework, projects, or work experience
• Degree in Electrical Engineering, Computer Engineering, Computer Science, Software Engineering, Mechatronics, or a related field, or equivalent experience with evidence of exceptional ability
• Experience with real-time or embedded systems and microcontroller toolchains (debuggers, oscilloscopes, logic analyzers) is a plus
• Experience with signal processing, detection theory, or time-series analysis is a plus
• Hands-on experience testing and debugging hardware is a plus

Benefits

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
• Earned Wage Access: Real-time pay access paid daily, subject to eligibility and schedule (applicable for below Sr. Managers levels)

Expected Compensation$140,000 - $252,000/annual salary + cash and stock awards + benefitsPay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.