From Torc Robotics's posting. “We” and “our” refer to the employer.
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
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)
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
About this listing
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
