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Torc RoboticsTR

Senior, ML Engineer - Localization

Torc Robotics, an independent subsidiary of Daimler Truck AG, is a pioneer in autonomous driving technology, currently focused on commercializing self-driving trucks for long-haul applications in the U.S. Founded in 2005, Torc has extensive experience in developing safety-critical, self-driving solutions.

Torc Robotics

Employee count: 501-1000

Salary: 199k-299k USD

United States only

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About the Company

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.

A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.

Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.

Meet the Team

As a Senior ML Engineer focused on Localization Perception, you’ll build the machine-learning component that enables Torc’s autonomous trucks to understand precisely where they are in the world. We work across sensor fusion, map-based localization, and learning-based pose estimation to deliver robust, real-time localization in challenging environments. As part of a multidisciplinary group of ML engineers and researchers in Autonomy, you’ll collaborate closely across ML teams to build production-grade solutions that advance Torc’s mission of safe, reliable autonomous trucking.

What You’ll Do

  • Design, build, and optimize ML models for localization, including learned pose estimation, map-matching, and sensor fusion pipelines using camera, LiDAR, and radar data.
  • Develop high-performance training and evaluation workflows, leveraging frameworks such as PyTorch, distributed training infrastructure, and large-scale datasets.
  • Collaborate with robotics and mapping engineers to integrate localization models into the autonomy stack, ensuring performance, stability, and real-time constraints are met.
  • Analyze failure cases, run ablations, improve model robustness, and drive rigorous experimentation to achieve production-level reliability.
  • Contribute to system design, code reviews, best practices, and documentation across the ML and autonomy organization.

What You’ll Need to Succeed

  • Bachelor’s degree in Computer Science, Software Engineering, or related field with 6+ years of professional applied MLE engineering experience in Autonomous Vehicle, Robotics or related industry.
  • Master’s degree in Computer Science, Software Engineering, or related field with 3+ years of professional applied MLE engineering experience in Autonomous Vehicle, Robotics or related industry.
  • Experience with AV or robotics localization systems (e.g., LiDAR-based localization, visual odometry, SLAM, or map-based pose estimation).
  • Strong experience developing and deploying ML models in perception, localization, or sensor fusion domains.
  • Proficiency with PyTorch and modern ML tooling for training, inference, and optimization.
  • Solid understanding of 3D geometry, probabilistic estimation, spatial transforms, and robotics fundamentals.
  • Demonstrated ability to work with large multimodal datasets and build scalable pipelines for processing, labeling, and evaluation.
  • Strong software engineering skills in Python or C++, with a focus on clean, maintainable, production-ready code.
  • Excellent communication skills and the ability to collaborate in a fast-paced, cross-functional environment.

Bonus Points!

  • Familiarity with distributed computing tools such as Ray, Kubernetes, or similar orchestration frameworks.
  • Knowledge of embedded and real-time constraints for on-vehicle deployment.
  • Experience in simulation, synthetic data generation, and uncertainty-aware ML modeling.
  • Contributions to open-source robotics, perception, or ML frameworks.

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 health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:

  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer match
  • Flexibility in schedule and generous paid vacation (available immediately after start date)
  • Company-wide holiday office closures
  • AD+D and Life Insurance

At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

US Base Pay Range:

$199,200 - $298,800

Job ID:R-102401

About the job

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Job type

Full Time

Experience level

Senior

Salary

Salary: 199k-299k USD

Location requirements

Hiring timezones

United States +/- 0 hours

About Torc Robotics

Learn more about Torc Robotics and their company culture.

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What began in 2005 as Torc Technologies, a venture by a group of Virginia Tech graduate students, has evolved into a leading name in autonomous vehicle technology. The mission from the outset was to continue their collegiate work on autonomous vehicle software, initially focusing on Tele-Operated Robotic Controls (TORC) and developing Level 4 autonomous technology. A significant early milestone came in 2007 when Torc, in partnership with Virginia Tech, secured third place in the DARPA Urban Challenge. This achievement involved their Ford Escape, 'Odin,' autonomously navigating 60 miles of urban and off-road environments.

The company's journey continued with impactful projects, including a 2010 partnership with Virginia Tech for the National Federation of the Blind's Blind Driver Challenge, which earned them the National Instruments' 2010 Application of the Year. This project saw a blind driver independently operate Torc's modified Ford Escape on the Daytona Speedway in 2011. Torc's expertise also extended to defense, developing autonomous solutions like the Ground Unmanned Support Surrogate (GUSS) to assist military personnel. Over the years, Torc has been involved in various defense and heavy equipment applications, and participated in the DARPA Robotics Challenge. A pivotal moment arrived in March 2019 when Daimler AG, through Daimler Trucks North America, acquired a majority stake in Torc Robotics. This partnership shifted Torc's primary focus to commercializing autonomous trucks for long-haul applications in the United States. Torc is now an independent subsidiary of Daimler Truck AG. The company has since expanded its operations, opening an engineering office in Austin, Texas, and a Technology and Development Center in Stuttgart, Germany in 2022, as well as facilities in Albuquerque, New Mexico, and Montreal, Canada. Torc continues to advance its 'physical AI,' enabling self-driving trucks to perceive, understand, and act in the real world, with a commercial launch targeted for 2027.

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