Tesla

Makes electric cars, robotaxis and grid batteries

Software Validation Engineer

Test Automation EngineeringConfirmed live in the last 24 hours

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

About the Job

Requirements

Bachelor’s degree in Computer Science or a related engineering field, or equivalent experience.
Strong proficiency in Python.
Experience testing, simulating, or evaluating software systems, or a clear ability to ramp into that work quickly.
Experience writing automated tests or checks and turning results into actionable pass/fail decisions.
Practical experience using AI tools to improve engineering workflows, including analysis, automation, reporting, or triage.
Strong debugging skills and comfort working through ambiguous failures until the root cause is clear.
Experience with cloud batch jobs, continuous integration, containers, or orchestration such as Docker, AWS, or Kubernetes/Argo.
Experience with energy systems, control software, time-series evaluation, or optimization workflows.
Experience building internal tooling adopted by a team.

Responsibilities

Own and drive scalable, AI-driven test automation that continuously validates Opticaster software.
Partner with algorithm and software engineers to develop automated tests and accelerate validation throughout the development cycle.
Run and expand large-scale cloud simulations that produce clear pass/fail evidence before changes reach customers.
Implement automated checks and improve validation tooling in Python for test execution, result analysis, failure triage, and reporting.
Integrate validation into continuous integration and continuous delivery so checks run reliably as part of normal development and release.
Investigate failures, identify root causes, and work with partners to resolve issues before they reach customers.
Support device-level testing when simulation alone is not sufficient to cover risk.
Communicate validation results clearly so the team can make confident ship decisions.

Desired Qualifications

Experience with cloud batch jobs, continuous integration, containers, or orchestration such as Docker, AWS, or Kubernetes/Argo.
Experience with energy systems, control software, time-series evaluation, or optimization workflows.
Experience building internal tooling adopted by a team.

Category	Energy Engineering
Location	Palo Alto, California
Requisition ID	282304
Type	Full-time

Job Description

<p>Opticaster’s mission is to accelerate the world’s transition to sustainable energy by optimizing how batteries are charged and discharged to maximize value for customers and the grid. Our algorithms power Tesla’s energy products—including Powerwalls, Megapacks, Virtual Power Plants, and microgrids—across a global fleet.</p><p>Opticaster is a customer-facing product: the software you build directly shapes how hundreds of thousands of homes and energy sites store, use, and export energy every day. As a Software Validation Engineer, you will partner with algorithm engineers throughout the development cycle to accelerate testing and ensure our products meet the highest quality standards. You will own and drive the development of scalable, SI-driven test automation that continuously validates our cutting-edge energy storage systems.</p>

Job Responsibilities

Own and drive scalable, AI-driven test automation that continuously validates Opticaster software
Partner with algorithm and software engineers to develop automated tests and accelerate validation throughout the development cycle
Run and expand large-scale cloud simulations that produce clear pass/fail evidence before changes reach customers
Implement automated checks and improve validation tooling in Python for test execution, result analysis, failure triage, and reporting
Integrate validation into CI/CD so checks run reliably as part of normal development and release
Investigate failures, identify root causes, and work with partners to resolve issues before they reach customers
Support device-level testing when simulation alone is not sufficient to cover risk
Communicate validation results clearly so the team can make confident ship decisions

Job Requirements

Bachelor’s Degree in Computer Science, or related engineering field, or equivalent experience
Strong proficiency in Python
Experience testing, simulating, or evaluating software systems—or a clear ability to ramp into that work quickly
Experience writing automated tests or checks and turning results into actionable pass/fail decisions
Practical experience using AI tools to improve engineering workflows (analysis, automation, reporting, triage)
Strong debugging skills and comfort with ambiguous failures until root cause is clear
Excellent communication skills and the ability to partner closely with algorithm and software engineers
Experience with cloud batch jobs, CI, containers, or orchestration (e.g. Docker, AWS, Kubernetes/Argo) is a plus
Experience with energy systems, control software, time-series evaluation, or optimization workflows is a plus
Experience building internal tooling adopted by a team 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

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