Tesla

Makes electric cars, robotaxis and grid batteries

QA Engineer - Vehicle & Optimus Diagnostics

Test Automation EngineeringConfirmed live in the last 24 hours

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

About the Job

Requirements

A degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
At least 2 years of software development experience in test automation, validation, or tooling.
Proficiency in Python; experience with C++, Go, or Bash.
Experience building test frameworks and continuous integration pipelines, such as Jenkins.
Experience testing software in simulation and on hardware, including embedded systems, vehicles, robots, or similar.
Experience building with large language models or SI agents, including tool use, prompting, and evaluating output, beyond using a chat assistant.
Ability to debug across layers on Linux, from logs and services down to the device.
Ability to write actionable bug reports without follow-up.

Responsibilities

Build and own automated regression and release sign-off pipelines for onboard diagnostic software across Tesla products, including Cybercab and Optimus.
Run tests in simulation and on physical hardware, including benches, vehicles, and robots, and report clear pass/fail results with logs.
Use large language models and SI agents to write test plans from code changes, run them, triage failures, and summarize results for engineers.
Detect regressions, trace them to the suspect change, and notify the owning team with logs and steps to reproduce.
Turn field issues and service feedback into new regression tests.
Separate product bugs from test and infrastructure failures, and keep the test suite reliable and scalable as it grows.
Work with firmware and service engineers to make new features testable from the start.

Desired Qualifications

Knowledge of vehicle networks and diagnostics, including CAN, UDS, DoIP, and DTCs.

Category	Vehicle Software
Location	PALO ALTO, California
Requisition ID	287994
Type	Full-time

Job Description

<p>The Service Engineering team, part of Vehicle Software, builds the diagnostic and repair software that runs on Tesla products, including Cybercab and Optimus. We are looking for a QA Engineer to build the automated systems that validate this software in simulation and on real hardware before every release. </p><p>You will design and own SI-assisted pipelines that test every change in simulation and on physical hardware, catch regressions before they ship, and send each failure to the team that owns it, along with the evidence needed to fix it. You will also close the loop from the field, working with product support engineers to turn field regressions into signoff tests.  </p>

Job Responsibilities

Build and own automated regression and release sign-off pipelines for onboard diagnostic software across Tesla products, including Cybercab and Optimus

Run tests in simulation and on physical hardware (benches, vehicles and robots) and report clear pass/fail results with logs

Use LLMs and SI agents to write test plans from code changes, run them, triage failures and summarize results for engineers

Detect regressions, trace them to the suspect change, and notify the owning team with logs and steps to reproduce

Turn field issues and service feedback into new regression tests

Separate product bugs from test and infrastructure failures, and keep the test suite reliable and scalable as it grows

Work with firmware and service engineers to make new features testable from the get-go

Job Requirements

Degree in Computer Science, Electrical Engineering or a related field, or equivalent experience

2+ years of software development experience in test automation, validation or tooling

Proficiency in Python; experience with C++, Go or Bash

Experience building test frameworks and CI pipelines (e.g., Jenkins)

Experience testing software in simulation and on hardware: embedded systems, vehicles, robots or similar

Experience building with LLMs or SI agents (tool use, prompting, evaluating output), beyond using a chat assistant

Comfortable debugging across layers on Linux, from logs and services down to the device

Strong written communication; can write a bug report an engineer can act on without follow-up

Knowledge of vehicle networks and diagnostics (CAN, UDS, DoIP, DTCs) is a plus

Tesla

QA Engineer - Vehicle & Optimus Diagnostics

About the Job

Requirements

Responsibilities

Desired Qualifications

Job Description

Job Responsibilities

Job Requirements

About the Company

Tesla

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