Principal Software Engineer - Vehicle AI

Description
Work Arrangement: Remote: This role is based remotely but if you live within a 50-mile radius of Mountain View, you are expected to report to that location three times a week, at minimum.
The Role
As a Principal Software Engineer in the Vehicle AI division, you will be the technical cornerstone of our smart cabin initiatives. You will architect, design, and deploy low-latency, high-performance AI software that runs directly on edge hardware within the vehicle.
You won't just be writing code; you will define the technical roadmap, mentor senior engineers, and collaborate across hardware, UI/UX, and vehicle software teams to bring intelligent features-like natural language voice assistants, driver monitoring systems (DMS), and predictive cabin personalization-to life.
What You'll Do

• Architectural Leadership: Design scalable, secure, and real-time software architectures for AI-driven features running on automotive-grade compute platforms (e.g., Qualcomm Snapdragon Digital Chassis, NVIDIA DRIVE).
• Edge AI Optimization: Lead the deployment and optimization of machine learning models (LLMs, computer vision, audio processing) for resource-constrained edge devices using TensorRT, ONNX, or similar frameworks.
• System Integration: Oversee the integration of AI pipelines with foundational infotainment operating systems, particularly Android Automotive OS (AAOS) and QNX.
• Cross-Functional Strategy: Partner with product managers, data scientists, and hardware engineers to balance feature ambition with compute constraints.
• Mentorship & Excellence: Elevate the engineering culture by establishing best practices for code quality, CI/CD, rigorous testing, and system performance profiling. Set the standard for technical excellence within the division.
• Prototyping: Rapidly prototype new AI concepts and evaluate emerging frameworks to keep GM at the cutting edge of automotive technology.

Your Skills & Abilities (Required Qualifications)

• Experience: 10+ years of professional software engineering experience, with at least 3+ years in a technical leadership or architectural role.
• Programming: Expert-level proficiency in modern C++ (C++14/17/20) and Python.
• Domain Expertise: Proven track record of shipping commercial software in automotive infotainment, robotics, consumer electronics, or other deeply embedded systems.
• AI/ML Deployment: Hands-on experience optimizing and deploying ML models to edge hardware (NPU/GPU/DSP utilization, quantization, pruning).
• OS Knowledge: Deep understanding of POSIX-compliant operating systems, Linux internals, or RTOS (QNX, VxWorks).
• Education: Bachelor's degree in Computer Science, Computer Engineering, or a related technical field (or equivalent practical experience).

What Will Give You a Competitive Edge (Preferred
Qualifications)

• Extensive experience with Android Automotive OS (AAOS) , specifically Vehicle HAL (VHAL) and native C++ services.
• Experience building or integrating advanced Voice Assistants (ASR, NLU, TTS) or Driver Monitoring Systems (DMS) into embedded environments.
• Familiarity with automotive functional safety standards (ISO 26262, ASIL) and cybersecurity protocols.
• Advanced degree (Master's or Ph.D.) focusing on Artificial Intelligence, Machine Learning, or Embedded Systems.

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 the California Bay Area.

• The salary range for this role is ($216,400 - 331,600). 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.

Company Vehicle : Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
This Job may be eligible for relocation benefits.
#LI-SA2
This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}.
The selected candidate will be required to travel <25% for this role.
This job may be eligible for relocation benefits.
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