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TORC Robotics
TORC Robotics

60 Torc Robotics Data Engineer Jobs Hiring Near You

Torc Robotics

Safety Data Analyst

Blacksburg, VA · On-site +1

... Torc Robotics, our Safety Data Analysis team sits at the core of how we measure, understand, and continuously assess the safety performance of Torc Drive. This team blends engineering, statistics ...

Torc Robotics

Senior, ML Engineer - Auto Tagger

$107K - $146K/yr

Torc Robotics is a leader in autonomous driving technology focused on developing software for automated trucks. The Senior ML Engineer - Auto Tagger will be responsible for architecting data ...

Torc Robotics

ML Engineer, II - New AI Initiatives

$153K - $183K/yr

... Torc's AI development tooling. * Independently develop data science models or algorithms using ... Bachelor's Degree in Computer Science, Robotics, Electrical Engineering or related technical field ...

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Infographic showing various Data Engineer job openings at Torc Robotics in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% Physical, and 25% Remote job distribution.

ML Engineer, I - App Engine

Torc Robotics

Ann Arbor, MI • On-site

Full-time

Re-posted 14 days ago

Job description

Job Summary:
Torc Robotics is a leader in autonomous driving technology focused on developing software for automated trucks. The ML Engineer, I - App Engine will work on creating and optimizing processing pipelines and runtime environments for machine learning applications, ensuring efficient and safe operations in autonomous trucking.
Responsibilities:
• Development of a processing pipeline SDK capable of spanning multiple distributed System on a Chips using Ethernet, PCIe, and similar to move data through different processing stages.
• Optimization of concurrent usage of resources (Memory, GPU) for parallel execution of trained models on a single System on a Chip
• Development of a runtime environment, which uses the App Engine SDK to deploy machine learning based virtual driver applications.
• SDK Feature development to support the creation of Virtual Driver Software
• Support Virtual Driver Division with their usage of the Application Engine
• Creation of high-quality code including test case development
Qualifications:
Required:
• Bachelor’s degree in Computer Engineering, Electrical Engineering, or Software Engineering, Computer Science or advanced degree with 1-3 years experience
• Experience with Embedded Software Development, especially with a focus on GPUs
• Experience with TensorRT and CUDA
• Experience in the development of real-time distributed systems
• Profound knowledge of C++
• Familiarity with machine learning technologies (e.g. PyTorch)
• Experience with Linux
Preferred:
• Experience developing SDK’s for complex embedded systems, especially those featuring GPUs or multiple SOCs.
• Experience in autonomous robotic or vehicle systems.
• Knowledge of computer architecture principles such as pipelining, memory hierarchy, locality, etc.
Company:
Torc provides L4 end-to-end self-driving software for mobility, trucking, mining, and defense markets through strategic partnerships Founded in 2005, the company is headquartered in Blacksburg, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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