Accountabilities

Oversee driverless readiness testing: Coordinate with teams executing system tests to ensure that evolving testing processes, improvements, and customizations are properly integrated and that assessments meet their intended scope.

Analyze and validate test results: Review automatically generated test outcomes, verify their correctness, and investigate discrepancies across different testing modalities to ensure consistent, accurate, and reliable reporting.

Identify and prioritize operational risks: Organize findings from test analysis, assess their potential impact, and collaborate with the Safety team to evaluate risks and define appropriate mitigations.

Communicate critical findings: Share test outcomes, risks, and emerging issues with relevant stakeholders, including engineering teams and company leadership, ensuring that communication is timely and proportionate to severity.

Drive cross-functional issue resolution: Work directly with developers to investigate issues, understand root causes, and coordinate resolution, escalating findings to stakeholders when appropriate.

Contribute to autonomy roadmapping: Partner with Technical Program Management (TPM) and Commercial teams to translate performance evaluations and identified gaps into autonomy development priorities and roadmap recommendations.

Support ODD performance and expansion: Help guide improvements to autonomy capabilities within existing Operational Design Domains while supporting the development and scaling of capabilities for new operating environments.

Develop and maintain analysis tooling: Own and evolve the tools used to process and analyze large datasets, ensuring they remain reliable and effective as testing methods and evaluation processes improve.

Support continuous system improvement: Use evidence from testing and operational risk analysis to strengthen system readiness, performance evaluation, and deployment decision-making.

Requirements

Bachelor's degree in Systems Engineering, Computer Science, Aerospace Engineering, Robotics, or a related technical discipline. A Master's degree is preferred.

At least 7 years of engineering experience, ideally including work with Advanced Driver Assistance Systems (ADAS) or autonomous driving technologies.

Strong understanding of modern software development principles, engineering workflows, and production best practices.

Experience querying and analyzing databases and presenting insights through tools such as SQL and Looker.

Experience with agentic-based software development and data analysis.

Strong analytical and problem-solving capabilities, particularly in complex system performance evaluation, large-scale data analysis, and identifying inconsistencies or operational risks.

Proficiency with Git and standard version control workflows.

Excellent communication and collaboration skills, with the ability to explain technical findings and concepts to engineers, product managers, and senior leadership.

Ability to work independently while contributing effectively within multidisciplinary engineering teams.

Strong attention to detail and commitment to data quality, accuracy, and rigorous testing practices.

Comfort working in a fast-paced, agile environment that uses continuous integration and continuous delivery (CI/CD) practices.

Willingness to travel up to 20%, typically for 1–2 weeks each quarter, to visit testing sites, primarily in Las Vegas and other domestic locations as business needs require.

Ability to meet the physical demands of the role, which may include extended periods of sitting, occasional prolonged standing and walking, handling equipment, reaching, and occasionally lifting or moving up to 50 pounds. Reasonable accommodations may be available.

Ability to work in an environment involving mechanical and computer equipment, occasional exposure to fumes or airborne particles, and low-to-moderate noise levels.

Benefits

Base salary range: $200,000–$275,000 USD. Actual compensation depends on factors including skills, experience, expertise, location, certifications, licenses, and business needs.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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