Remote Staff Software Engineer, Autonomy Evaluation & Metrics

Ladders; United States; Remote; USD 130.000 - 155.000; Vollzeit

Benefits dieser Stelle

Collaborative team

Platform shaping

Cutting-edge tech

Cross-functional networking

Zusammenfassung

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

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Python

C++

ML

Leadership

Time series data

Ausbildung

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

Jobbeschreibung

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