Senior, ML Engineer - Tracking

This is a Fully Remote Job

About Our Client:

The organization operates in the autonomous vehicle technology industry, focusing on developing software for automated trucks to transform freight transportation. With over a decade of experience commercializing autonomous driving solutions and now part of a major automotive family, the company addresses the challenge of safe and efficient freight movement through advanced autonomous vehicle software.

About the Opportunity:

The SENIOR ML ENGINEER - TRACKING role is responsible for designing, developing, and deploying machine learning models and algorithms that enable accurate tracking and estimation of objects around autonomous trucks. This position impacts the safety and efficiency of vehicle behavior by ensuring reliable perception and sensor fusion, contributing directly to the advancement of real-world autonomous freight applications.

Responsibilities:

• Design and implement production ML models for multi-object tracking and sensor fusion using data from cameras, LiDAR, radar, and other vehicle sensors.
• Develop scalable training and evaluation workflows leveraging PyTorch and distributed infrastructure.
• Improve tracking and sensor fusion algorithms to achieve robust vehicle pose and kinematic estimation.
• Analyze large-scale vehicle data to identify performance issues and guide improvements.
• Develop efficient production software in C++ and Python throughout the development lifecycle.
• Define evaluation and validation strategies to maintain tracking quality and safety across diverse conditions.
• Make technical design decisions balancing performance, efficiency, robustness, and production needs.
• Collaborate with cross-functional teams including perception, mapping, planning, and controls.
• Provide technical leadership through reviews, mentoring, and establishing engineering best practices.

Requirements:

• Bachelor’s degree in Computer Science, Software Engineering, Robotics, or related field with 6+ years of relevant industry experience; or Master’s with 3+ years; or PhD with 1+ year.
• Experience with autonomous vehicle or robotics perception systems such as tracking, detection, or SLAM.
• Strong background developing and deploying ML models for perception, localization, or sensor fusion.
• Proficiency in PyTorch and modern ML tools for training, inference, and optimization.
• Solid understanding of 3D geometry, probabilistic estimation, coordinate transforms, and robotics fundamentals.
• Experience working with large multimodal datasets and building scalable processing pipelines.
• Strong software engineering skills in Python and C++, including algorithms, testing, debugging, and optimization.
• Effective written and verbal communication skills for cross-functional collaboration.

Pay Range and Compensation Package:

• The pay range and compensation package for this role will be determined based on the candidate's experience, skills, and other relevant factors.

Benefits & Perks:

• Competitive compensation package including bonus and stock options.
• 100% paid medical, dental, and vision insurance premiums for full-time employees.
• 401(k) plan with a 6% employer match.
• Flexible scheduling and generous paid vacation available immediately after start.
• Accidental death and dismemberment (AD+D) and life insurance.

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.