Descripción

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the MTV office three times per week, at minimum.

Role: We are seeking a highly skilled Staff Robot Perception Engineer to lead the development of cutting-edge machine learning systems that enable perception capabilities for autonomous robots. You will be instrumental in designing, training, and deploying camera- and LiDAR-based models for object detection, classification, tracking, and segmentation in complex, real-world indoor environments.

This role spans the full model development lifecycle and involves close collaboration with cross-functional teams, including hardware, localization, and planning. You will also help build scalable offline tools for data processing, training, evaluation and validation.

About the Organization

The Robotics Software team is pioneering the next generation of autonomous robotic systems, focusing on autonomous mobile robots (AMRs) and intelligent robotic platforms. We develop full-stack robotics capabilities—from perception and planning to control and system integration—bringing innovative, real-world autonomous solutions to the future of the work.

What You'll Do:

Design, implement, and deploy perception algorithms and models for object detection, tracking, classification, and segmentation using camera and LiDAR data

Develop and apply sensor fusion techniques to improve accuracy and robustness

Develop offline tools to evaluate and benchmark the performance

Optimize perception models for real-time performance and hardware constraints

Collaborate with motion planning and localization teams to ensure seamless system integration

Design and maintain cloud-based pipelines for data preprocessing, model training, and evaluation

Contribute to system-level testing and validation in real-world scenarios

[Additional Description]

Your Skills & Abilities:

Bachelor’s, Master’s, or Ph.D. in Robotics, Computer Science, Electrical Engineering, or a related field

3+ years of experience developing and deploying real-world robot perception systems

Strong programming skills in Python and C++

Hands-on experience with machine learning frameworks such as PyTorch or TensorFlow

Expertise in multi-modal sensor fusion and data processing

Solid understanding of robotics systems including localization, mapping, and planning

What Will Give You A Competitive Edge:

Experience with ROS/ROS2 and Navigation2 framework

Familiarity with testing frameworks and hardware-in-the-loop (HIL) testing

Understanding of CI/CD pipelines and modern software development practices

Background in autonomous vehicles (AV), ADAS, or industrial automation

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

The salary range for this role is 166,000 to 265,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Relocation: This job may be eligible for relocation benefits.

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Información sobre diversidad

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Declaración de igualdad de oportunidades en el empleo (EE.UU.)

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Adecuaciones (EE.UU. y Canadá)

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