Develop, implement, and refine safety performance indicators, thresholds, and targets to proactively identify, assess, and manage safety risk.
Apply statistically sound methods to evaluate safety performance, quantify uncertainty, and support risk-based decision-making.
Develop automated, production-ready analysis workflows for continuous safety monitoring and incident response.
Evaluate data quality, uncertainty, bias, and limitations to ensure findings are statistically defensible.
Support data visualization and communication strategies for technical teams and safety stakeholders.
Partner cross-functionally with engineering, product, and safety teams to integrate workflows and align on data-driven decisions.
Maintain documentation of analytical methods, assumptions, and outputs to support regulatory readiness.
PythonSQLAgile+3 more
Showing 1 of 19 positions
About Torc Robotics
Torc Robotics pioneers Level 4 self-driving software for commercial trucks. We transform the freight industry by developing safe, scalable, and efficient autonomous technology. As an independent subsidiary of Daimler Truck, we focus on commercializing highly automated trucks on U.S. roads. Our core product is a 'virtual driver' software suite, integrating advanced sensors like LiDAR, radar, and cameras. We leverage generalized representations, not high-definition maps, to reduce operating costs and expand quickly. Our solutions aim to improve road safety, address driver shortages, and enhance operational efficiency in trucking.
How We Work
Torc's culture is collaborative, energetic, and deeply team-focused. We foster an open, accessible atmosphere where asking questions and trying new solutions is encouraged. Decision-making often happens in open communication channels. You will find flexibility in your schedule, with many roles offering remote options across the U.S. and Canada. We believe in continuous growth, providing leadership training and mentorship opportunities.
Engineering at Torc Robotics
Our engineers tackle complex challenges in autonomous driving, from processing petabyte-scale sensor data to developing robust machine learning models. You will craft high-performance data converters for multi-modal sensor inputs like camera, LiDAR, and radar, ensuring precise time alignment. We build large-scale ingestion and transformation pipelines using distributed compute frameworks like Ray, Spark, and Anyscale. We also engineer HiL test benches for validating autonomous driving software and system-level functionality. Our team integrates industry-leading sensors and develops sophisticated ML models for perception, prediction, and planning, pushing the boundaries of AI in real-world freight operations.
Why Join Us
Shape the future of freight with Level 4 self-driving truck technology.
Collaborate with a team of experts backed by Daimler Truck's industry leadership.
Solve complex engineering problems using cutting-edge AI, robotics, and data science.
Experience a supportive culture with flexible work options and generous paid time off.
Grow your career through direct impact on production-ready autonomous systems.
Benefits & Perks
Competitive compensation package with bonus component and stock options.
100% paid medical, dental, and vision premiums for full-time employees.
401K plan with a 6% employer match (RRSP with 6% match in Canada).
Flexibility in schedule and generous paid vacation available immediately.