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TORC Robotics
TORC Robotics

60 Torc Robotics Computer Vision Engineer Jobs Hiring Near You

Torc Robotics

Senior, ML Engineer - Offline Perception

$107K - $146K/yr

Torc Robotics is a leader in autonomous driving technology, focusing on developing software for ... Computer Vision, Deep Learning, Model training. • Two of the following: 2D/3D Object Detection ...

Torc Robotics

Senior, ML Engineer - Offline Perception

$107K - $146K/yr

Torc Robotics is a leader in autonomous driving technology focused on developing software for ... Computer Vision, Deep Learning, Model training. • Two of the following: 2D/3D Object Detection ...

Torc Robotics

ML Engineer, II - New AI Initiatives

$153K - $183K/yr

About the Company At Torc, we have always believed that autonomous vehicle technology will ... Bachelor's Degree in Computer Science, Robotics, Electrical Engineering or related technical field ...

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Infographic showing various Computer Vision 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.

Senior, ML Engineer - Offline Perception

Torc Robotics

Remote

$107K - $146K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Summary:
Torc Robotics is a leader in autonomous driving technology, focusing on developing software for automated trucks. The Senior ML Engineer will design and implement offline perception models and algorithms, manage projects, and guide less experienced team members in the development of high-quality annotations on sensor data.
Responsibilities:
• Design, implement, test and deploy offline object detection, tracking and fusion modules to automatically create annotations on Cloud Services from logged sensor data (Cameras, Lidars, Radars)
• Demonstrated project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution.
• Stay up to date with the latest developments in AI and ML for autonomous driving.
• Independently develop offline perception models or algorithms using disciplined software development processes, making recommendations for developing new code or re-using existing code, implementing version control, and maintaining
• Documentation of created applications.
• Define and implement ingestion, data preparation, curation, and governance of large, multi-faceted data sets supporting analytics models and workflows.
• Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation.
• Measure and track auto labeling quality to meet internal customer requirements.
• Guide and produce information products, supporting visualization and data accessibility in a customer-centric manner.
• Evaluate and make recommendations regarding technical advances that improve productivity and quality, reduce flow times, and enhance operational surety.
• Develop guidelines and standards for analytics and machine learning models, their deployment, and associated processes.
• Provides technical guidance or business process expertise, technical leadership, coaching and mentoring to team members.
Qualifications:
Required:
• Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 6+ years of experience OR;
• Master’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 3+ years of experience OR;
• Active Learning & Pseudo-labeling - Computer Vision, Deep Learning, Model training.
• Two of the following: 2D/3D Object Detection, Tracking, Sensor Fusion, Semantic Segmentation, SLAM, BEV.
• Scaled ML Operations (MLOps) and Tooling – ML Frameworks, experiment tracking, model registry, MLFLow, Weights and Biases, ML Metrics and Evaluation / Quality.
• Distributed machine learning frameworks - PyTorch, Lightning, Ray.
• Model Data Curation - Parquet data processing (PyArrow, Daft, Pandas, etc).
• Development Tools & Eco-System (at scale) - Proficiency in Python software development. Also, VDI and cloud-based development environments, CI Systems (GitHub Actions), and Docker.
Preferred:
• Data operations and management at scale - Schema design, AWS storage and processing infra, vector databases / LanceDB, file formats (MCAP, parquet, etc).
• Data Visualization - Integration with tooling such as OpenGL, 3.js, foxglove, 51, tableau.
• Cloud Development – Python (proficient level), Terraform, AWS Managed Services (eg S3, ECS, Lambda, Dynamo, Step Functions, Athena).
• Cloud-based orchestration and resource management - AWS Hyperpods, Anyscale, Etc. Model Inference Orchestration.
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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