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TORC Robotics
TORC Robotics

60 Torc Robotics System Administrator Jobs Hiring Near You

Torc Robotics

Senior, ML Engineer - Auto Tagger

$107K - $146K/yr

Torc Robotics is a leader in autonomous driving technology focused on developing software for ... system validation. • Operate with broad autonomy to drive consensus across organizational ...

Torc Robotics

Senior Controller

Blacksburg, VA · On-site

At Torc, we have always believed that autonomous vehicle technology will transform how we travel ... Hands-on experience with ERP systems (Workday strongly preferred) and advanced Microsoft Excel ...

Torc Robotics

Senior, ML Engineer - Auto Tagger

Ann Arbor, MI · On-site +1

$102K - $140K/yr

... Robotics, Engineering, or a STEM field, with 6+ years in data engineering, ML systems, or ... Perks of Being a Torc'r Torc cares about our team members and we strive to provide benefits and ...

Torc Robotics

Senior, ML Engineer - Offline Perception

$107K - $146K/yr

Torc Robotics is a leader in autonomous driving technology, focusing on developing software for ... Also, VDI and cloud-based development environments, CI Systems (GitHub Actions), and Docker.

Torc Robotics

Senior Controller

Blacksburg, VA

At Torc, we have always believed that autonomous vehicle technology will transform how we travel ... Hands-on experience with ERP systems (Workday strongly preferred) and advanced Microsoft Excel ...

Torc Robotics

Senior, ML Engineer - Offline Perception

$107K - $146K/yr

Torc Robotics is a leader in autonomous driving technology focused on developing software for ... Also, VDI and cloud-based development environments, CI Systems (GitHub Actions), and Docker.

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Infographic showing various System Administrator 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 - Auto Tagger

Torc Robotics

Remote

$107K - $146K/yr

Full-time

Re-posted 23 days ago

Job description

Job Summary:
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 pipelines and developing algorithms to optimize the processing of vehicle data, ensuring data integrity and facilitating collaboration across teams.
Responsibilities:
• Architect and optimize distributed data pipelines to process massive multi-sensor logs (camera, LiDAR, radar, kinematics), automatically extracting and cataloging safety-critical and long-tail driving events.
• Develop and tune both heuristic-based and ML-assisted algorithms (including exploring Vision-Language Models or semantic vector search) to automatically classify and describe complex environmental and behavioral scenarios.
• Extract and format scenario data utilizing the Pegasus layer standard (alongside opensource frameworks) to ensure semantic consistency and rigorous metadata integrity.
• Manage the ingestion of tagged events into the observations database, enabling high-speed querying and retrieval for ML training, regression testing, and system validation.
• Operate with broad autonomy to drive consensus across organizational boundaries.
• Collaborate closely with downstream consumers in perception, simulation, and systems engineering to define what constitutes an 'interesting scenario' and operationalize a continuous data loop.
• Guide, mentor, and elevate less-experienced engineers.
• Lead design reviews, establish coding standards, and foster a culture of technical excellence and collaborative problem-solving.
Qualifications:
Required:
• BS or MS in Computer Science, Robotics, Engineering, or a STEM field, with 6+ years in data engineering, ML systems, or autonomous data curation.
• Strong Python and SQL skills, with heavy experience processing massive time-series or unstructured datasets.
• Hands-on machine learning and dataset curation experience, with a demonstrated history of implementing targeted datasets that measurably improve downstream model performance.
• Hands-on experience using Databricks (or similar platforms) for large-scale analytics, interactive querying, and making massive vehicle datasets searchable.
• Expertise in distributed compute frameworks (Ray, Spark, Beam) and cloud platforms (AWS, GCP, or Azure) for executing heavy data workloads.
• Experience parsing complex data formats and applying scenario-description standards like Pegasus layers.
• Exceptional ability to translate complex data engineering challenges into clear strategies for cross-functional stakeholders.
• Proven track record of mentoring teams, driving system architecture, and defining engineering roadmaps.
Preferred:
• Familiarity with foundational models, auto-labeling pipelines, or zero-shot classification for scenario extraction.
• Experience with vLLM, SGLang, or similar frameworks for highly optimized, high-throughput model serving and inference.
• Experience with semantic extraction and attribute mapping to help build out a robust semantic inference engine, moving beyond standard bounding-box object detection.
• Familiarity with parsing robotics formats (ROS bags, MCAP) and optimizing high-performance columnar storage formats (Parquet, Arrow).
• Knowledge of how scenario data feeds into generative simulation workflows, neural rendering, or sensor fusion validation.
• Experience building semantic retrieval systems or vector databases for automotive data.
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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