Staff Research Scientist - VLM / VLA

General Motors•Mountain View, CA

1d•$218,800 - $335,300•Remote

About The Position

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. The Role Are you ready to redefine mobility and shape the future of autonomous transportation? As a Staff Research Scientist specializing in Vision-Language Models (VLMs), Vision-Language-Action models (VLAs), and Onboard Foundational Models, you will advance the frontier of artificial intelligence to solve the most challenging problems in autonomous driving. In this role, you will bridge the gap between large-scale multimodal foundational AI and real-time physical systems. You will lead the design, training, and optimization of state-of-the-art models that allow vehicles to deeply understand complex visual scenes, reason through open-ended scenarios, and translate multimodal inputs directly into safe, actionable driving decisions. Crucially, your work will focus not just on cloud-scale intelligence, but on pioneering the techniques required to compress, quantize, and deploy these massive architectures directly onto resource-constrained onboard vehicle hardware. You will help shape strategic technical directions, mentor a world-class team of engineers, and represent our organization at top global artificial intelligence conferences.

Requirements

Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a related technical field.
5+ years of experience in AI/ML research and applied development.
Deep expertise in modern ML architectures (transformers, generative AI, multimodal systems).
Strong programming skills in Python.
Excellent communication, collaboration, and mentoring abilities, comfortable influencing technical strategy and guiding ML excellence across the organization.

Nice To Haves

Demonstrated research impact in AI/ML technologies either through important publications in top conferences or demonstrated contribution to industry leading systems.
AV/ADAS experience

Responsibilities

Research, design, and prototype advanced Vision-Language Models and Vision-Language-Action foundational models tailored for real-time semantic understanding and behavioral prediction in autonomous driving.
Drive the technical strategy for onboard model optimization, leading initiatives in model quantization, pruning, knowledge distillation, and compilation to ensure high-parameter models execute with ultra-low latency on vehicle edge hardware.
Advance multimodal alignment techniques, ensuring seamless integration of camera, radar, LiDAR, and textual/logical prompts into unified foundational architectures.
Influence technical roadmaps and shape strategic machine learning priorities that align with safety requirements, core product milestones, and next-generation vehicle launches.
Provide technical mentorship and long-term vision to a multidisciplinary group of machine learning engineers, software developers, and hardware specialists.
Foster internal innovation by collaborating closely with perception, planning, and infrastructure teams to integrate foundational models into the core autonomous software stack.
Represent the company externally to the global scientific community by publishing original research, securing patents, and presenting at top-tier artificial intelligence and robotics conferences.