
$139,000 – $166,800
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 builds data pipelines and scalable storage systems for autonomous vehicle fleets using AWS and modern data tools. It suits engineers with cloud infrastructure and Linux experience who want to work on data problems at the scale of machine learning training for self-driving trucks.
Our summary, not Torc Robotics’s wording. The full posting is on their site.
Skills this role names
- Apache Airflow
- AWS Batch
- AWS Glue
- AWS Lambda
- AWS Step Functions
- Bash (Scripting)
- Databricks
- Datadog
- Docker
- GitHub Actions
- JavaScript
- Jenkins
- Linux
- NumPy
- Pandas
- Python
- React
- Terraform
- V-Ray
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What they ask for
Required
- Bachelor's degree in Computer Science, Robotics, Electrical Engineering or related field with 4+ years experience, or Master's degree with 0-3 years experience
- Deploy, troubleshoot, monitor and maintain Linux systems
- Build and maintain workloads in public cloud environments
- Knowledge of relational and NoSQL databases, vector stores, data warehousing and distributed data stores
- Linux and bash scripting experience
- Docker and containerization experience
- Implement workflow patterns using directed acyclic graphs
- Test-driven development, continuous integration and delivery, and infrastructure as code
Nice to have
- Strong organizational and communication skills with team orientation
- Databricks platform experience for serving data and visualizations
- Ray experience for scaling ML and AI workloads
- pandas, numpy and Python data analysis libraries
- Deep AWS serverless architecture knowledge
- Data storage and acquisition patterns for robotics and ADAS
- End-to-end architecture and delivery of cloud solutions