$132,400 – $158,900
Listed on Torc Robotics’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role supports Torc's machine learning teams by maintaining the infrastructure and pipelines that move models from development into production on autonomous trucks. It suits engineers who enjoy debugging complex systems, collaborating across teams, and learning the full ML stack in a fast-paced autonomous driving environment.
Our summary, not Torc Robotics’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Bachelor's degree in Computer Science, Robotics, Electrical Engineering or related technical field
- 0-3+ years of relevant experience
- Proficiency in Python
- Experience with ML frameworks like PyTorch
- Familiarity with model training pipelines
- Experience with MLOps tooling including CI/CD systems, monitoring, logging, and pipeline orchestration
- Strong debugging and problem-solving skills
- Ability to communicate clearly across teams
Nice to have
- Experience with large sensor data formats like MCAP and Parquet
- Experience with PyArrow, Daft, or Pandas
- Experience with distributed compute or orchestration frameworks like Ray, Anyscale, or AWS SageMaker
- Infrastructure-as-code experience with Terraform
- Experience with edge deployment or embedded hardware
- Exposure to autonomous driving or robotics ML workflows