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Torc Robotics Jobs (NOW HIRING)

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

Senior, ML Engineer - Offline Perception

$107K - $146K/yr

Torc Robotics is a leader in autonomous driving technology focused on developing software for automated trucks. The role involves designing and implementing offline object detection and tracking ...

Torc Robotics

Senior, ML Engineer - Auto Tagger

Ann Arbor, MI · On-site +1

$102K - $140K/yr

About the Company At Torc, we have always believed that autonomous vehicle technology will ... What You'll Need to Succeed: * BS or MS in Computer Science, Robotics, Engineering, or a STEM field ...

Torc Robotics

Senior, ML Engineer - VLM

Ann Arbor, MI · On-site

$102K - $140K/yr

... AI/Robotics venues (CVPR/ECCV/ICCV, NeurIPS/ICLR/ICML, CoRL). Perks of Being a Full-time Torc'r Torc cares about our team members and we strive to provide benefits and resources to support their ...

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How much do torc robotics jobs pay per year?

As of Jul 21, 2026, the average yearly pay for torc robotics in the United States is $96,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $102,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an engineer at Torc Robotics, and why are they important?

To thrive as an engineer at Torc Robotics, you need a solid background in computer science, robotics, or engineering, with experience in autonomous systems and a relevant degree. Familiarity with ROS (Robot Operating System), C++/Python programming, and automotive safety standards such as ISO 26262 is typically required. Strong problem-solving skills, teamwork, and effective communication set standout candidates apart in this field. These competencies are crucial for developing safe, innovative autonomous driving solutions in a collaborative, fast-evolving industry.

Who owns Torc Robotics?

Torc Robotics is a subsidiary of Daimler Truck AG, which acquired a majority stake in the company. As a result, Daimler Truck AG owns Torc Robotics, integrating its autonomous vehicle technology into their operations.

How much does a Torc robotics engineer make?

The average salary for a robotics engineer at Torc Robotics is typically between $80,000 and $120,000 per year, depending on experience, education, and location. Engineers with skills in autonomous systems, programming, and relevant certifications tend to earn higher salaries within this range.

What opportunities for professional development and career advancement are available to employees at Torc Robotics?

At Torc Robotics, employees have access to a variety of professional development opportunities, including technical training programs, mentorship initiatives, and support for continuing education. The company encourages cross-functional collaboration, allowing team members to gain experience in multiple aspects of autonomous vehicle technology. Career advancement is supported through regular performance reviews, internal job postings, and leadership development programs, enabling motivated individuals to grow into senior engineering, project management, or leadership roles. The dynamic and innovative environment at Torc Robotics fosters continuous learning and career progression.

What is Torc Robotics?

Torc Robotics is a company that specializes in developing autonomous vehicle technology, particularly for the trucking industry. Founded in 2005 and headquartered in Blacksburg, Virginia, Torc Robotics focuses on creating self-driving solutions to improve safety and efficiency in freight transportation. The company partners with major automotive manufacturers and logistics providers to advance the deployment of autonomous trucks on public roads. Torc is a subsidiary of Daimler Truck AG and works closely with industry leaders to integrate its autonomous driving systems into commercial vehicles.

Is Torc Robotics a good company to work for?

Torc Robotics is known for its focus on autonomous vehicle technology and employs engineers and software developers in a collaborative environment. Employee reviews highlight opportunities for growth and involvement in innovative projects, though experiences can vary by role and location.

What is the highest paid job in robotics?

In robotics, the highest paid roles are typically senior engineering positions such as robotics engineering managers or lead researchers, often earning six-figure salaries. These roles require advanced degrees, extensive experience, and expertise in areas like AI, machine learning, and systems integration.
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Torc Robotics jobs near you
Infographic showing various Torc Robotics job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $96,000 per year, or $46.2 per hour.
Senior, ML Engineer - Auto Tagger

Senior, ML Engineer - Auto Tagger

Torc Robotics

Remote

$107K - $146K/yr

Full-time

Posted yesterday

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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