Staff Software Engineer, Autonomy Evaluation

Ladders; United States; Remote; USD 130,000 - 155,000; Full time

Benefits offered by this job

Collaborative team

Platform shaping

Cutting-edge tech

Cross-functional networking

Job summary

Ladders seeks a Staff Software Engineer, Autonomy Evaluation to join a leader in the manufacturing and automotive space. The role defines evaluation strategy and architecture for autonomous driving software, working with engineering and product teams to set metrics, improve decision-making, and deliver safety-focused insights.

Remote within the US; no visa sponsorship. The position blends hands-on technical depth with leadership across teams, driving robust evaluation workflows for complex

Qualifications

• 7+ years of experience in robotics or autonomous systems software across subsystems.
• 3+ years leading evaluation of dynamic systems using ML on large-scale time series data.
• Proficient in Python production environments; strong experience in large C++ codebases.
• Demonstrated technical leadership across teams, shaping strategy and architecture.
• Advanced degree in CS, Robotics, Engineering, or related field.

Responsibilities

• Define evaluation strategy and architecture for autonomous driving software metrics.
• Lead cross-team efforts to integrate evaluation into development workflows and release decisions.
• Develop new statistical and ML methods for performance evaluation and regression detection.
• Own key evaluation metrics and KPIs; present insights via dashboards.
• Refine and synthesize metrics to support readiness and safety decisions.

Skills

Python

C++

ML

Leadership

Time series data

Education

PhD / Master's / Bachelor's in CS/Robotics/Engineering

Job description

For our client, we are seeking a Staff Software Engineer, Autonomy Evaluation to join the team of a leader in the Manufacturing & Automotive space.

This role will shape the evaluation strategy and technical architecture that supports autonomous driving software development and release readiness. You will partner closely with engineering, product, and cross-functional stakeholders to define metrics, improve decision-making, and strengthen safety and performance insights. The position blends hands‑on technical depth with technical leadership across teams, helping ensure robust evaluation workflows for complex dynamic systems.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $130,000 – $155,000 annually

Responsibilities

• Define evaluation strategy and architecture for autonomous driving software metrics
• Lead cross-team efforts to integrate evaluation into development workflows and release decisions
• Develop new statistical and ML methods for performance evaluation and regression detection
• Own key evaluation metrics and KPIs; present insights to stakeholders via interactive dashboards
• Refine and synthesize metrics to support readiness and safety decisions

Qualifications

• 7+ years of experience in robotics or autonomous systems software across multiple subsystems
• 3+ years leading evaluation of dynamic systems using ML on large-scale time series data
• Skilled in Python programming for production environments; strong experience in large C++ codebases
• Proven technical leadership across teams, influencing strategy and architectural decisions
• Advanced degree (PhD, Master's, or Bachelor's) in Computer Science, Robotics, Engineering, or a related field

Benefits

• Collaborative team environment focused on innovation in autonomous driving
• Opportunity to shape core evaluation platforms
• Access to cutting‑edge technology and methodologies
• Extensive networking with cross‑functional teams and stakeholders

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.