Software Engineer, II - Simulation Infrastructure

Torc Robotics • Ann Arbor, MI

18h

About The Position

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: The Simulation Environments team develops and integrates simulation tools that serve an expansive set of autonomy capabilities. We deliver robust, resilient, and scalable cloud‑based simulation solutions using modern managed cloud services to support a wide range of internal customers across autonomous and perception engineering domains. What You’ll Do: As part of the Simulation team, you will design, implement, maintain, and monitor cloud‑based simulation services that support virtual driver‑stack testing and large‑scale simulation workloads. You will contribute across the full software development lifecycle, from design and algorithm development to testing, deployment, and ongoing maintenance. Execute full software development lifecycle activities using Python and C++ in a Linux environment, following Lean‑Agile methodologies. Design, implement, and maintain scalable cloud systems using AWS managed services with a focus on scalability, reliability, observability, and operational excellence. Develop and provision cloud infrastructure using infrastructure‑as‑code frameworks such as Terraform. Perform software design, architecture documentation, algorithm development, and implementation, producing clear, maintainable, and well‑tested code. Ensure high‑quality software delivery by following established quality, build, deployment, and testing processes, including safety and engineering guidelines. Support vehicle testing, simulation workflows, and deployed‑software maintenance across Autonomous and Perception engineering use cases. Investigate and perform root cause analysis for issues found during simulation runs, testing workflows, and automation pipelines. Contribute to process automation, including CI/CD, simulation execution workflows, data handling pipelines, and containerization improvements. Maintain a strong commitment to automated testing, using simulation scenarios and test frameworks to ensure updates do not regress performance. Participate in team standups, providing updates on daily assignments and supporting effective iteration planning. Take ownership and drive end‑to‑end efforts independently, demonstrating initiative and accountability. Participate in an on‑call rotation (typically one week per team member) to support production systems and ensure operational readiness. Collaborate effectively in a cross‑functional, clearly communicating progress, expectations, risks, and support needs. Demonstrate a self‑starter mindset and a proactive, go‑getter attitude, driving work forward with minimal direction.

Requirements

• Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field with 2-4+ years of experience OR Master’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field with 1-2+ years of experience
• Experience designing managed cloud services, preferably AWS.
• Strong proficiency in Python, with solid software engineering fundamentals.
• Proficiency in Linux, Bash, or other scripting languages.
• Experience with Terraform or other IaC frameworks.
• Strong Background in modern software workflows: CI/CD, testing, infrastructure as code, containerization, and version control.
• Excellent analytical, debugging, and problem solving skills.

Nice To Haves

• Experience in autonomous vehicles, robotics, or simulation systems.
• Experience with C++ in production environments.
• Experience with Bazel build systems.
• Familiarity with ROS (Robot Operating System).
• Knowledge of robotics algorithms and applications.

Responsibilities

• Design, implement, maintain, and monitor cloud‑based simulation services that support virtual driver‑stack testing and large‑scale simulation workloads.
• Contribute across the full software development lifecycle, from design and algorithm development to testing, deployment, and ongoing maintenance.
• Execute full software development lifecycle activities using Python and C++ in a Linux environment, following Lean‑Agile methodologies.
• Design, implement, and maintain scalable cloud systems using AWS managed services with a focus on scalability, reliability, observability, and operational excellence.
• Develop and provision cloud infrastructure using infrastructure‑as‑code frameworks such as Terraform.
• Perform software design, architecture documentation, algorithm development, and implementation, producing clear, maintainable, and well‑tested code.
• Ensure high‑quality software delivery by following established quality, build, deployment, and testing processes, including safety and engineering guidelines.
• Support vehicle testing, simulation workflows, and deployed‑software maintenance across Autonomous and Perception engineering use cases.
• Investigate and perform root cause analysis for issues found during simulation runs, testing workflows, and automation pipelines.
• Contribute to process automation, including CI/CD, simulation execution workflows, data handling pipelines, and containerization improvements.
• Maintain a strong commitment to automated testing, using simulation scenarios and test frameworks to ensure updates do not regress performance.
• Participate in team standups, providing updates on daily assignments and supporting effective iteration planning.
• Take ownership and drive end‑to‑end efforts independently, demonstrating initiative and accountability.
• Participate in an on‑call rotation (typically one week per team member) to support production systems and ensure operational readiness.
• Collaborate effectively in a cross‑functional, clearly communicating progress, expectations, risks, and support needs.
• Demonstrate a self‑starter mindset and a proactive, go‑getter attitude, driving work forward with minimal direction.

Benefits

• A competitive compensation package that includes a bonus component and stock options
• 100% paid medical, dental, and vision premiums for full-time employees
• 401K plan with a 6% employer match
• Flexibility in schedule and generous paid vacation (available immediately after start date)
• AD+D and Life Insurance

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level