Tesla

Makes electric cars, robotaxis and grid batteries

Software Engineer - Abuse & Anomaly Detection, High Voltage Systems

Embedded EngineeringConfirmed live in the last 24 hours

Full-timePalo Alto, CA, USANo salary listedIn-person

About the Job

Requirements

Proficiency in C and/or C++, and in Python or another scripting language.
Solid grounding in probability, statistics, and classical machine learning (detection, regression, and classification), through coursework, projects, or work experience.
A degree in Electrical Engineering, Computer Engineering, Computer Science, Software Engineering, Mechatronics, or a related field, or equivalent experience with evidence of exceptional ability.

Responsibilities

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.

Desired Qualifications

Experience with real-time or embedded systems and microcontroller toolchains (debuggers, oscilloscopes, and 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.

Category	Vehicle Software
Location	PALO ALTO, California
Requisition ID	283693
Type	Full-time

Job Description

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.<br> <br>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.

Job Responsibilities

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

Job Requirements

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

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

Recently Posted Jobs

Explore more opportunities at Tesla

See more jobs