Software Validation Engineer, Self-Driving
- Pay
- $113,424 – $302,532 per year
- Location
- Palo Alto, CA · On-site
- Job type
- Full-time
- Level
- Mid-level
- Listed
- 28 days ago
About the role
- Software Validation Engineer, Self-Driving | Tesla (Tesla SI)
- Location: Palo Alto, California | Req ID: 283112 | Job Type: Full-time
- What to Expect
As a Software Validation Engineer on the Autopilot QA team, you will be responsible for validating the stability and performance of Autopilot software across Tesla's customer and robotaxi fleet. Your work will ensure that quality issues are detected early, triaged thoroughly, and resolved before they impact release timelines. You will define and review quality metrics, analyze automation outputs, and work directly with autopilot and tooling engineers to close gaps in test coverage and observability.
This role sits at the intersection of QA engineering, data analysis, and developer tooling. You'll investigate failures across complex embedded systems, trace regressions through fleet telemetry and simulation data, and identify where automation can replace manual validation. A strong candidate is detail-oriented, technically rigorous, and thrives on the challenge of catching problems before they reach the fleet.
You will collaborate with global engineering teams in the US, Europe, and Asia, which may require flexible hours to sync with distributed partners.
What You'll Do
- Define, measure, and review quality and performance metrics to assess release readiness across customer and robotaxi builds
- Review automation outputs, investigate failures, and perform root-cause analysis with meticulous attention to detail
- Work directly with autopilot engineers to triage issues, scope fixes, and ensure timely resolution before release deadlines
- Identify gaps in data collection, test coverage, and observability tooling, and partner with tooling engineers to close them
- Build and improve validation scripts, analysis tools, and automation to strengthen the quality pipeline
- Drive cross-functional validation efforts, coordinating with software, firmware, and QA engineers to ensure comprehensive coverage
- Maintain and improve dashboards (e.g., Grafana) and alerting to surface quality signals clearly and accurately
- Track automation and quality improvement projects to completion, ensuring follow-through on open issues
- Analyze fleet telemetry, simulation results, and test data to detect patterns, edge cases, and areas of concern
What You'll Bring
- Evidence of solid coding skills in Python and C++
- Degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Electrical Engineering, Embedded Systems Engineering, or the equivalent in practical experience and evidence of exceptional ability
- Proven experience in QA engineering, test automation, or validation-focused development
- Strong analytical skills with meticulous attention to detail when reviewing data, metrics, and test results
- Strong understanding of SQL and telemetry analysis for performance and reliability evaluation
- Experience with dashboarding and observability tools (e.g., Grafana, Prometheus)
- Comfort working with large-scale, real-world telemetry data to assess software quality
- Experience with LLMs and AI-assisted engineering workflows, including prompt design and building automated skills or agents
- Excellent communication skills, with the ability to distill complex technical findings into clear action items for engineering teams
- Strong follow-through and organizational discipline, able to track multiple issues and drive them to resolution
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$113,424 - $302,532/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.
From Tesla's careers page, first listed on Rolev.ai on October 12, 2026. Rolev.ai is not the employer.
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Common questions
What is the salary for the Software Validation Engineer, Self-Driving role at Tesla?
The Software Validation Engineer, Self-Driving posting at Tesla states compensation of $113,424 – $302,532 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Tesla's official career site.
Where is the Software Validation Engineer, Self-Driving job at Tesla located?
This Software Validation Engineer, Self-Driving position at Tesla is located in Palo Alto, CA (On-site). Always check Tesla's application page for specific state eligibility or relocation policies.
How do I apply for the Software Validation Engineer, Self-Driving position at Tesla?
This listing links directly to Tesla's application page. You can apply directly on Tesla's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.