AI/ML Engineer – Remote

Sundayy; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health insurance and benefits

Retirement plans

Paid time off

Tuition assistance

Employee assistance programs

GM vehicle discounts

Job summary

General Motors seeks a Staff AI/ML Future Sensing Engineer to advance autonomous driving sensing capabilities. You will lead end-to-end ML efforts for sensor selection, fusion, and deployment, guiding perception models across cameras, lidar, and radar.

This senior role emphasizes technical leadership and hands-on execution. You’ll influence perception architectures, collaborate cross-functionally, and drive scalable data pipelines, model training, and validation for real-world scenarios.

Qualifications

• Bachelor’s, Master’s, or PhD in Computer Science, Robotics, ML, Electrical Engineering or related fields
• Proven experience building and scaling AI/ML systems for perception, autonomy, or robotics
• Hands-on with PyTorch and Python programming
• Experience with model training pipelines and large-scale data workflows
• Strong data processing skills with NumPy, Pandas, Spark
• Ability to validate and optimize perception models under real-world constraints
• Experience with multi-modal sensor fusion (cameras, lidar, radar)
• Ability to define and implement metrics for perception and autonomous systems
• Excellent communication for cross-functional collaboration
• Experience deploying ML models into production environments

Responsibilities

• Design and implement AI/ML solutions aligned with autonomous driving and sensing objectives
• Lead studies on sensor selection, configuration, and fusion strategies
• Architect perception models and pipelines for detection, tracking, localization, labeling, and uncertainty estimation
• Define robust metrics to compare sensor configurations and assess system performance
• Drive model development: data curation, training, validation, and deployment
• Collaborate with simulation teams to create synthetic data and sensor models
• Integrate sensing, calibration, compute, and software architecture into system design
• Translate architecture questions into experimental plans and recommendations
• Build scalable data processing pipelines and tooling for large-scale evaluation
• Lead technical execution from prototype to production and document best practices
• Mentor teams to foster technical excellence and knowledge sharing

Skills

Python

PyTorch

Data pipelines

Sensor fusion

ML deployment

Communication

Cross-functional teamwork

Problem solving

Education

CS/Robotics/EE degree

Tools

NumPy

Pandas

Apache Spark

Job description

About The Company

General Motors is a global leader in automotive manufacturing and innovation, committed to shaping the future of mobility. With a vision centered around Zero Crashes, Zero Emissions, and Zero Congestion, GM strives to create safer, cleaner, and more efficient transportation solutions. The company invests heavily in cutting-edge technology, including autonomous driving, electric vehicles, and connected services, aiming to redefine the driving experience and contribute positively to society. GM’s dedication to innovation, sustainability, and inclusivity positions it as a pioneer in the automotive industry, fostering a culture of continuous improvement and technological advancement.

About The Role

We are seeking a highly skilled and motivated Staff AI/ML Future Sensing Engineer to join our Embodied AI organization at General Motors. This role is pivotal in advancing our autonomous driving capabilities by focusing on the development and deployment of machine learning solutions that enhance sensing architectures. As a senior individual contributor, you will lead end-to-end technical efforts to inform sensor selection, configuration, and fusion strategies involving cameras, lidar, radar, and other sensing modalities. Your expertise will directly influence the perception systems that enable safe and reliable autonomous vehicle operation across diverse real-world scenarios. This position offers the flexibility of remote or hybrid work arrangements across multiple locations, including Sunnyvale, Washington, California, and New York.

Qualifications

• Bachelor’s, Master’s, or PhD degree in Computer Science, Robotics, Machine Learning, Electrical Engineering, or related fields
• Proven experience in building and scaling AI/ML systems for perception, autonomy, or robotics applications
• Hands‑on expertise with deep learning frameworks such as PyTorch and proficiency in Python programming
• Experience with model training pipelines, large‑scale data workflows, and infrastructure for efficient model iteration
• Strong data processing skills using tools like NumPy, Pandas, and Apache Spark
• Demonstrated ability to validate, debug, and optimize perception models under real‑world constraints
• Experience with multi‑modal sensor fusion involving cameras, lidar, radar, or similar modalities
• Ability to define and implement metrics for perception and autonomous systems evaluation
• Excellent communication skills for effective cross‑functional collaboration
• Experience deploying ML models into production environments and understanding deployment workflows

Responsibilities

• Design and implement advanced AI/ML solutions aligned with GM’s autonomous driving and sensing objectives
• Lead technical studies on sensor selection, configuration, placement, and multi‑modal fusion strategies
• Architect perception models and pipelines for detection, tracking, localization, semantic labeling, and uncertainty estimation
• Define robust metrics and evaluation methodologies to compare sensor configurations and assess system performance
• Drive model development efforts, including data curation, training, validation, performance tuning, and deployment
• Collaborate with simulation teams to develop synthetic data and sensor modeling for testing under adverse conditions
• Integrate sensing, calibration, compute, and software architecture considerations into system design
• Translate complex architecture questions into experimental plans and technical recommendations
• Build scalable infrastructure, pipelines, and tooling for large‑scale data processing and model evaluation
• Lead technical execution from prototyping to production readiness, documenting best practices and lessons learned
• Mentor and collaborate with engineering teams to foster technical excellence and knowledge sharing

Benefits

• Comprehensive health and wellbeing programs including medical, dental, and vision insurance
• Retirement savings plans and flexible spending accounts
• Paid vacation, holidays, and sick leave
• Tuition assistance and professional development opportunities
• Employee assistance programs and wellness initiatives
• GM vehicle discounts and access to company vehicle evaluation programs
• Potential relocation benefits for eligible candidates

Equal Opportunity

General Motors is an equal opportunity employer committed to fostering an inclusive and diverse workplace. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, veteran status, or any other protected characteristic. We believe that a diverse workforce enhances our innovation and success, and we are dedicated to providing equal employment opportunities to all qualified candidates. Interested applicants are encouraged to review the role requirements and apply accordingly. We also provide reasonable accommodations during the application process to ensure accessibility for all candidates.