LocationAnn Arbor, MI , Remote (US); Ann Arbor, MI
Work modehybrid
Typefull-time
DepartmentBuild, Tools, Partners & Release
Company size1,001–5,000 people
First seen1mo ago
Last seen1d ago
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. In this role, you will take ground-floor ownership of the tools and infrastructure that directly drive our release velocity and system reliability.
You will be responsible for running real production infrastructure, building and maintaining robust CI/CD pipelines, and writing scalable code to support the teams shipping our safety-critical autonomous vehicle (AV) software. We are looking for an engineer with strong Python skills and deep, hands-on experience with containerization and cloud architecture.
What You’ll Do
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Build technology solutions, analyze requirements, and seek guidance from your manager and peers on scope and objectives.
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Contribute to design discussions, proposing solutions and creating diagrams and design documents for clarity.
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Write and modify code to deliver solutions, thoroughly testing via unit and integration tests and fixing bugs to ensure quality.
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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.
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Actively participate in team meetings, sharing progress and challenges, and seek mentorship to learn best practices.
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Participate in your team’s on-call rotation, troubleshooting incidents, analyzing production logs, and guiding root-cause analysis (RCA).
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Work across team boundaries to understand how your team’s deliveries contribute to Torc’s broader product offerings.
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Expand documentation coverage, including runbooks, tutorials, API documentation, and user guidance.
What You’ll Need to Succeed
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Bachelor’s degree plus 4+ years of experience; or a Masters Degree plus 0-3 years of experience.
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Proven ability to tackle critical challenges with minimal supervision and strong independent judgment.
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Proficiency in AWS core services (IAM, EC2, S3) and container orchestration platforms (Docker, Kubernetes, EKS, ECS).
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Fluency in an object-oriented language (Python preferred) combined with solid scripting/templating skills (Bash, Go).
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Hands-on background with build tools (Bazel, CMake, Maven, Gradle) and code coverage analysis (Parasoft, SonarQube, CodeQL).
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Intermediate competency with CI/CD tools (GitHub Actions, Jenkins, GitLab, ArgoCD) and workflow tools (Temporal, AWS Step Functions, Argo Workflows).
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Solid understanding of logging and monitoring ecosystems (Datadog, CloudWatch, New Relic).
Bonus Points
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Experience with JFrog Artifactory or similar artifact/package registry platforms.
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Familiarity with safety-critical or embedded software practices (e.g., MISRA C static analysis, VectorCAST or similar unit-test tooling for embedded systems).