System Engineer II - Release Readiness & Metrics; Python Remote - U.S, Ann Arbor, MI, Fort

System Engineer II - Release Readiness & Metrics (Python)

About the Company

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.

A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.

Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.

Meet the Team

Join Torc's Release organization, where we help ensure autonomous driving software is validated, measured, and ready for deployment. Our team operates at the intersection of autonomy, systems engineering, testing, and data analysis, supporting release decisions through metrics, investigations, and system‑level evaluation.

As a Systems Engineer II, you will contribute to release readiness activities by analyzing system behavior, developing metrics and tooling, investigating issues, and partnering with engineering teams across the organization. You will work alongside senior engineers to help evaluate software quality and performance while supporting the processes used to validate Torc's autonomous driving system.

What You’ll Do

• Support release readiness activities through analysis of software performance, testing results, and system‑level metrics.
• Develop, maintain, and improve Python‑based tools, scripts, dashboards, and workflows used to evaluate software quality and release health.
• Analyze test results from simulation, hardware‑in‑the‑loop, closed‑course, and on‑road testing environments.
• Investigate system‑level issues and support root cause analysis efforts in collaboration with software, systems, validation, and autonomy engineering teams.
• Work with large datasets to identify trends, anomalies, and opportunities for improvement across the autonomy stack.
• Help define, implement, and maintain metrics that provide visibility into software quality, system performance, and release readiness.
• Collaborate with engineers across Perception, Behaviors, Platform, Validation, and Systems Engineering teams to understand system behavior and support technical investigations.
• Participate in requirements reviews, design discussions, and validation planning activities.
• Contribute to the development and improvement of release processes, triage workflows, and engineering tools.
• Document findings, communicate investigation results, and provide actionable feedback to development teams.
• Support defect tracking and issue management activities throughout the software development lifecycle.

What You’ll Need to Succeed

• Bachelor's degree with 4+ years of experience, or Master's degree with 2+ years of experience in Systems Engineering, Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a related technical field.
• Experience working with complex software, robotics, autonomous systems, automotive systems, or distributed technical environments.
• Strong Python programming skills for scripting, automation, data analysis, or tooling development.
• Experience working with data analysis, metrics, dashboards, or system performance evaluation.
• Familiarity with software development workflows, defect management, testing methodologies, and validation activities.
• Ability to investigate technical issues, analyze data, and communicate findings effectively.
• Experience collaborating across multiple engineering disciplines.
• Strong problem‑solving skills and attention to detail.
• Ability to independently execute technical tasks and investigations while seeking guidance on larger or more ambiguous problems.

Bonus Points

• Experience with autonomous vehicles, ADAS, robotics, or safety‑critical systems.
• Experience working with cloud‑based data platforms, databases, or large‑scale datasets.
• Experience with simulation environments, SIL/HIL testing, or validation workflows.
• Familiarity with software quality metrics, release processes, or engineering KPIs.
• Experience building internal…