Senior Software Engineer, Autonomy Evaluation

About the role

For our client, we are seeking a Senior Software Engineer, Autonomy Evaluation to join the team of a leader in the Manufacturing & Automotive space. This role will focus on building and advancing the software and analytical systems used to measure autonomy performance across simulation and real-world driving data. You will help define the metrics, methods, and dashboards that inform key decisions about system readiness, validation, and deployment. The position partners closely with engineering teams working across autonomous systems, machine learning, and data analysis to improve evaluation quality and accelerate development. Location: Remote - US based candidates only, no visa sponsorship available

Pay

$130,000 – $155,000 annually

Responsibilities

• Architect and implement metrics for evaluating autonomous driving software
• Design algorithms to summarize and cluster metrics from simulation and road test data
• Propose statistical and ML methods for performance quantification and pattern detection
• Develop methods to evaluate ML components in the autonomy stack
• Build evaluation dashboards and interactive reports for cross-functional stakeholders
• Leverage vision-language and large language models to improve scenario prioritization and validation efforts
• Maintain high technical standards through strong coding practices and thorough code reviews

Qualifications

• 5+ years of experience in robotics or autonomous systems software, data analysis, ML evaluation, or autonomy analytics
• 3+ years of experience evaluating dynamic systems using numerical or ML-based approaches
• Strong proficiency in production-quality Python development, including testing and code review
• Familiarity with data analysis libraries such as Pandas, NumPy, and SciPy
• Comfortable working with C++ codebases for inspection and debugging
• Curiosity to investigate and resolve data anomalies systematically
• Demonstrated technical leadership with influence on architectural decisions

Benefits

• Collaborative work environment focused on innovation in autonomous driving technology
• Opportunity to shape core evaluation platforms impacting AV deployment
• Engagement in projects that integrate multiple engineering disciplines
• Access to cutting-edge tools and methodologies in the autonomous systems domain
• Potential for career growth and technical leadership in a rapidly evolving field