Senior, ML Engineer - Tracking

Torc Robotics; United States; On-site; USD 177,000 - 213,000; Full time

Benefits offered by this job

Stock options

Premiums paid for health benefits

401K with employer match

Flexible schedule and vacation

AD+D and Life Insurance

Job summary

Torc Robotics seeks an experienced software engineer to advance perception, tracking, and sensor fusion for autonomous trucks. You will design and deploy production ML models, build scalable training pipelines, and work across teams to deliver reliable, real-world autonomous driving capabilities.

The role emphasizes strong C++ and Python engineering, PyTorch proficiency, and robust validation. You will influence architecture decisions and help push safety-focused innovations in a fast-growing

Qualifications

• 6+ years of relevant industry experience or 3+ with a Master’s or 1+ with a PhD.
• Experience with AV or robotics perception systems (tracking, detection, SLAM).
• Proficiency with PyTorch and ML tooling for training, inference, optimization.

Responsibilities

• Design, develop, and deploy production ML models for multi-object tracking and sensor fusion.
• Develop scalable training and evaluation workflows using PyTorch and large real-world datasets.
• Design and improve tracking and sensor fusion algorithms for robust pose and kinematics.
• Analyze large-scale vehicle data to characterize performance and drive model improvements.
• Develop robust production software in C++ and Python across the full lifecycle.
• Define evaluation, verification, and validation strategies for tracking quality and safety.
• Make technical design and architecture decisions balancing performance and production constraints.
• Collaborate with perception, mapping, planning, controls, and platform teams.
• Provide technical leadership through design reviews and mentoring.

Skills

Python

C++

PyTorch

Multimodal datasets

3D geometry

Robotics fundamentals

Soft skills

Education

Bachelor's degree in CS/Robotics or related field

Master's degree preferred

Job description

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

Accurate and highly available information about other actors and objects is fundamental to the safe operation of autonomous trucks. Core capabilities depend on accurate tracking estimates to ensure safe and efficient vehicle behavior.

The Tracking Team develops the ML models, state estimation algorithms, and production software responsible for associating and estimating the kinematics of other actors and objects in real time. Our solutions fuse information from multiple sensors and maintain robust performance despite sensor imperfections, environmental challenges, and system degradation. As part of this team, you will develop and deploy production-ready tracking solutions and help solve the challenges of bringing autonomous vehicle technology to real-world commercial applications.

What You'll Do

• Design, develop, and deploy production ML models for mulit-object tracking, including association, learned pose and kinematic estimation, and sensor fusion using camera, LiDAR, radar, and other vehicle sensors.
• Develop scalable training and evaluation workflows using PyTorch, distributed training infrastructure, and large-scale real-world datasets.
• Design and improve tracking and sensor fusion algorithms for robust vehicle pose and kinematics
• Analyze large-scale vehicle data to characterize performance, identify failure modes, and drive model and system improvements.
• Develop robust, efficient production software in modern C++ and Python across the full development lifecycle.
• Define evaluation, verification, and validation strategies to ensure Tracking quality, robustness, and safety across diverse operating conditions.
• Make technical design and architecture decisions, balancing model performance, computational efficiency, robustness, and production constraints.
• Collaborate with perception, mapping, planning, controls, and platform teams to deliver integrated autonomous driving capabilities.
• Provide technical leadership through design reviews, code reviews, mentoring, and development of engineering best practices.

What You'll Need To Succeed

• Bachelor's degree in Computer Science, Software Engineering, Robotics, or a related field with 6+ years of relevant industry experience, or a Master's degree with 3+ years of relevant industry experience, or a PhD with 1+ year of relevant industry experience.
• Experience with AV or robotics perception systems (tracking, detection, SLAM, scen modeling, ect.).
• Strong experience developing and deploying ML models for 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, coordinate transforms, and robotics fundamentals.
• Demonstrated ability to work with large multimodal datasets and build scalable pipelines for processing, labeling, and evaluation.
• Strong software engineering fundamentals in Python and C++, including algorithms, data structures, testing, debugging, and performance optimization.
• Strong written and verbal communication skills and the ability to work effectively on cross-functional teams.

Bonus Points

• Experience with state estimation techniques such as factor graphs, Kalman filtering, nonlinear optimization, or related probabilistic estimation methods.
• 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.
• Familiarity with functional safety standards and automotive development processes, including ISO 26262.

Perks of Being a Full-time Torc'r

• 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)
• 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.

Job ID: 102957

Hiring Range for Job Opening

US Pay Range

$177,300—$212,800 USD