$160,800 – $193,000
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 leads the data pipeline infrastructure that turns autonomous truck sensor logs into labeled training data for perception and simulation systems. It suits experienced software engineers who enjoy building production data systems and want to work on safety-critical autonomous vehicle technology.
Our summary, not Torc Robotics’s wording. The full posting is on their site.
Skills this role names
- Amazon CloudWatch
- Amazon Web Services (AWS)
- AWS CloudFormation
- Databricks
- Datadog
- GitHub Actions
- Grafana
- Python
- Robot Operating System (ROS)
- SPARK
- Terraform
- V-Ray
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What they ask for
Required
- Bachelor's degree in Computer Science, Robotics, Electrical Engineering or related field plus 6+ years experience, OR Master's degree in same fields plus 3+ years experience
- Production Python development with data or ML pipelines
- CI/CD experience with GitHub Actions
- Databricks for large-scale data processing and orchestration
- AWS infrastructure-as-code (Terraform or CloudFormation)
- Large-scale time series or unstructured data processing
- Observability tooling (Datadog, Grafana, CloudWatch) for production monitoring
- ML model integration and deployment into production systems
- Cross-team communication with ML, perception, and simulation engineers
Nice to have
- Auto-labeling pipelines, VLMs, or zero-shot classification experience
- Distributed compute frameworks (Ray, Spark, Daft)
- Robotics data formats (ROS bags, MCAP) and columnar storage (Parquet, Arrow)
- Model serving frameworks (vLLM, SGLang)
- Pegasus layer scenario description standards