Live opening · Posted 11 hours ago

Senior Software Engineer, Autonomy Evaluation

Ladders · United States (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 11 hours ago
CompanyLadders
LocationUnited States (Remote)
Salary$130K/yr - $155K/yr
Work modeYes
SkillsPython, C++, Pandas
SourceLinkedin
ListedPosted 11 hours ago

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About the role

Description supplied by the original job listing.

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
Compensation: $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
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.

Work arrangement
Yes

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