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Torc Robotics

Autonomous truck software for Level 4

Software Engineer 2 - Data Engineering

Data EngineeringConfirmed live in the last 24 hours
Full-timeRemote

About the Job

Requirements

  • A bachelor's degree in Computer Science, Robotics, Electrical Engineering, or a related technical field, plus competencies and technical proficiencies typically acquired through 4+ years of experience; or a master's degree in Computer Science, Robotics, Electrical Engineering, or a related technical field, plus competencies and technical proficiencies typically acquired through 0–3+ years of experience.
  • Experience deploying, troubleshooting, monitoring, and maintaining Linux systems.
  • Experience building and maintaining workloads in public cloud environments.
  • Knowledge of database architectures, including relational and NoSQL databases, vector stores, data warehousing, and clustered and distributed data stores.
  • Practical experience with Linux and general Bash scripting.
  • Practical experience with Docker and containerization.
  • Experience implementing workflow patterns using directed acyclic graphs, such as Apache Airflow or AWS Step Functions.
  • Commitment to test-driven development patterns, continuous integration and delivery, and infrastructure as code.

Responsibilities

  • Create robust and resilient pipelines to process large daily volumes of data created by vehicle fleets and simulation environments.
  • Build and support scalable pipelines as part of Torc’s Data Factory to deliver data for machine-learning training at scale.
  • Scale Torc’s data lake through a distributed storage system, data crawling, and discovery.
  • Promote and protect data integrity through validation, versioning, data provenance, and governance.
  • Support the expansion of Torc’s data lake by acquiring additional data sets from internal and external sources.
  • Contribute to the design, architecture, and delivery of cloud-based solutions.
  • Collaborate with teams specializing in perception, planning, control, mapping, and vehicle testing to develop solutions that support product delivery.
  • Support implementation of emerging cloud-based capabilities that extend the technology stack and improve the ability to build, deploy, and test safety-critical software for self-driving vehicles.
  • Participate in the team’s on-call rotation to support deployed systems during business hours.

Desired Qualifications

  • Experience with the Databricks platform, particularly for serving data, visualizations, and jobs.
  • Experience scaling data for machine-learning and artificial-intelligence workloads using Ray.
  • Experience with pandas, NumPy, and other Python-based data analysis libraries and tooling.
  • Deep knowledge of AWS serverless architectures, including Lambda, Batch, ECS Fargate, Glue, and Athena.
  • Experience with data storage and acquisition patterns for robotics and advanced driver assistance systems.
  • Own end-to-end architecture and delivery of cloud-based solutions.

About the Company

Torc Robotics

Autonomous truck software for Level 4

Torc Robotics builds software for autonomous trucks, aiming to enable Level 4 self-driving capabilities for freight transport. They develop driving systems that let heavy trucks operate autonomously under certain conditions, and they work with truck manufacturers and fleet operators to bring these solutions to market. The company integrates sensors from partners (such as Luminar Technologies) and provides ongoing updates and support to ensure reliability and performance. Unlike more general AV players, Torc focuses on commercial trucking and leverages strategic partnerships (for example with Daimler Trucks) to integrate its software into production vehicles and fleets. Its goal is to improve road safety and freight efficiency by deploying scalable, commercial autonomous trucking solutions.

Company size
501-1,000
Company stage
M&A
Total funding
Not listed
Headquarters
Blacksburg, VA
Founded
2005

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