About the Role

As a Software Engineer II on the Build Tools team at Torc Robotics, you will serve as the automation backbone for our entire engineering organization. You'll build and maintain development tools that interact with our platforms and infrastructure on behalf of our engineering teams, driving release velocity and system reliability. You'll write CI/CD tooling and scalable code supporting safety-critical autonomous vehicle software development. We are looking for an engineer with strong Python skills and deep, hands-on experience with containerization and cloud architecture.

What You'll Do

• Build technology solutions, analyze requirements, and seek guidance from your manager and peers on scope and objectives.
• Contribute to design discussions, proposing solutions and creating diagrams and design documents for clarity.
• Write and modify code to deliver solutions, thoroughly testing via unit and integration tests and fixing bugs to ensure quality.
• Collaborate with teammates to integrate your work into the larger codebase, and give/receive feedback through code review to improve quality and support continuous learning.
• Actively participate in team meetings, sharing progress and challenges, and seek mentorship to learn best practices.
• Participate in your team's on-call rotation, triaging tooling and pipeline issues reported by engineering teams, and guiding root-cause analysis (RCA).
• Work across team boundaries to understand how your team's deliveries contribute to Torc's broader product offerings.
• Expand documentation coverage, including runbooks, tutorials, API documentation, and user guidance.

What You'll Need to Succeed

• Bachelor's degree plus 4+ years of experience; or a Masters Degree plus 0-3 years of experience.
• Proven ability to tackle critical challenges with minimal supervision and strong independent judgment.
• Working knowledge of cloud platforms (AWS) and container tooling (Docker, Kubernetes) used by the engineering teams you support.
• Fluency in an object-oriented language (Python preferred) combined with solid scripting/templating skills (Bash, Go).
• Hands-on background with build tools (Bazel, CMake, Maven, Gradle) and code coverage analysis (Parasoft, SonarQube, CodeQL).
• Intermediate competency with CI/CD tools (GitHub Actions, Jenkins, GitLab, ArgoCD) and workflow tools (Temporal, AWS Step Functions, Argo Workflows).
• Solid understanding of logging and monitoring ecosystems (Datadog, CloudWatch, New Relic).

Bonus Points

• Experience with JFrog Artifactory or similar artifact/package registry platforms.
• Familiarity with safety-critical or embedded software practices, including VectorCAST or similar unit-test tooling, and AUTOSAR compliance
• Exposure to C/C++ in addition to Python.

Work Location

• Remote (US), or Ann Arbor, MI (Hybrid)