Staff Software Engineer, Vehicle AI Job at General Motors (Mountain View)

Staff Software Engineer, Vehicle AI

GM is looking to hire highly skilled and experienced Staff Software Engineers to...

Location

Canada

Salary:

147000.00 - 196600.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, related technical field, or equivalent practical experience
8+ years of professional software development experience, with a focus on large-scale distributed systems or AI/ML infrastructure
Expert proficiency in one or more programming languages such as Python, C++, Java, or Kotlin
Extensive experience designing, building, and deploying production-grade AI/ML models or intelligent agents
Demonstrated technical leadership in complex projects, including mentoring and driving cross-functional initiatives

Job Responsibility

Lead the architecture and implementation of next-generation AI agents, from conceptualization to production deployment
Drive technical direction and strategy for the AI agent platform, ensuring scalability, reliability, and performance
Mentor and guide junior and senior engineers, fostering a culture of technical excellence and best practices
Collaborate with Product Managers and other engineering teams to define requirements and deliver impactful solutions
Conduct complex code reviews, system design reviews, and provide constructive feedback
Identify and address technical debt, performance bottlenecks, and architectural challenges within the agent infrastructure
Stay current with the latest advancements in AI, machine learning, and software engineering to continually improve our technology stack

What we offer

Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave
Healthcare, dental and vision benefits including health care spending account and wellness incentive
Life insurance plans to cover you and your family
Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement
GM Vehicle Purchase Plan for you, your family, and friends

Fulltime

Staff Software Engineer, Vehicle AI

GM is looking to hire highly skilled and experienced Staff Software Engineers to...

Location

United States , Mountain View, California

Salary:

189300.00 - 290000.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, related technical field, or equivalent practical experience
8+ years of professional software development experience, with a focus on large-scale distributed systems or AI/ML infrastructure
Expert proficiency in one or more programming languages such as Python, C++, Java, or Kotlin
Extensive experience designing, building, and deploying production-grade AI/ML models or intelligent agents
Demonstrated technical leadership in complex projects, including mentoring and driving cross-functional initiatives

Job Responsibility

Lead the architecture and implementation of next-generation AI agents, from conceptualization to production deployment
Drive technical direction and strategy for the AI agent platform, ensuring scalability, reliability, and performance
Mentor and guide junior and senior engineers, fostering a culture of technical excellence and best practices
Collaborate with Product Managers and other engineering teams to define requirements and deliver impactful solutions
Conduct complex code reviews, system design reviews, and provide constructive feedback
Identify and address technical debt, performance bottlenecks, and architectural challenges within the agent infrastructure
Stay current with the latest advancements in AI, machine learning, and software engineering to continually improve our technology stack

What we offer

Incentive pay program offers payouts based on company performance, job level, and individual performance
Company vehicle evaluation program
This Job may be eligible for relocation benefits

Fulltime

Staff Software Engineer

Aurora’s mission is to deliver the benefits of self-driving technology safely, q...

Location

United States , Pittsburgh

Salary:

171000.00 - 273000.00 USD / Year

Aurora Innovation

Expiration Date

Until further notice

Requirements

Phenomenal communication skills
A preference for action
The drive to make teams stronger
Motivation to own the product lifecycle end to end
Strong backend service engineering skills
Experience working with databases and caches such as Postgres and Redis
Bachelor’s or Master’s Degree in Computer Science or a related field
6+ years of industry experience with a focus on high-availability cloud services

Job Responsibility

Design complex systems from the ground up, working closely with software, hardware, and infrastructure engineering teams along with other stakeholder teams within Aurora
Embrace AI tools to add new features which delight our users, along with improving frontend, backend, and onboard engineering efficiency
Build backend services running in Aurora’s AWS cloud used to monitor and manage the location and activity of our entire autonomous fleet
Establish technology and infrastructure to scale our products with high availability and reliability
Collaborate with stakeholders including Security, Product, Design, Safety, and Cloud Platform to achieve company milestones
Send suggestions and receive updates from vehicles in real time in order to ensure the safe operation of Aurora’s autonomous fleet
Contribute to and evolve our team culture around mentorship, feedback, collaboration, and engineering excellence

What we offer

annual bonus
equity compensation
benefits

Fulltime

Staff Software Engineer

Aurora is searching for an exceptional Staff-level Backend Software Engineer to ...

Location

United States , Mountain View

Salary:

189000.00 - 303000.00 USD / Year

Aurora Innovation

Expiration Date

Until further notice

Requirements

Phenomenal communication skills
A preference for action
The drive to make teams stronger
Motivation to own the product lifecycle end to end
Strong backend service engineering skills
Experience working with databases and caches such as Postgres and Redis
Bachelor’s or Master’s Degree in Computer Science or a related field
6+ years of industry experience with a focus on high-availability cloud services

Job Responsibility

Design complex systems from the ground up, working closely with software, hardware, and infrastructure engineering teams along with other stakeholder teams within Aurora
Embrace AI tools to add new features which delight our users, along with improving frontend, backend, and onboard engineering efficiency
Build backend services running in Aurora’s AWS cloud used to monitor and manage the location and activity of our entire autonomous fleet
Establish technology and infrastructure to scale our products with high availability and reliability
Collaborate with stakeholders including Security, Product, Design, Safety, and Cloud Platform to achieve company milestones
Send suggestions and receive updates from vehicles in real time in order to ensure the safe operation of Aurora’s autonomous fleet
Contribute to and evolve our team culture around mentorship, feedback, collaboration, and engineering excellence

What we offer

annual bonus
equity compensation

Fulltime

Staff ML Engineer - Embodied AI

Are you passionate about accelerating the future of autonomous driving? Join the...

Location

United States , Mountain View

Salary:

180000.00 - 280000.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

Master's or Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a related technical field
4+ years of experience working with large-scale Foundation Models, including LLMs, VLAs and vision-focused models
Extensive experience developing and deploying advanced ML systems, particularly in end-to-end real-time onboard applications
Proven track record as a technical expert in developing robust deep learning models that directly map sensor data to actionable outputs within safety-critical systems
Deep expertise in state-of-the-art computer vision techniques, neural architectures, representation learning, real-time inference, model optimization, and robustness under uncertainty
Strong software engineering proficiency, particularly Python and C++, alongside extensive hands-on experience with modern ML frameworks (PyTorch, TensorFlow, JAX)
Excellent communication, collaboration, and mentoring abilities, comfortable influencing technical strategy and guiding ML engineering excellence across the organization

Job Responsibility

Drive the design, development, and deployment of advanced onboard ML models, delivering end-to-end solutions capable of real-time inference and robust autonomous driving performance
Lead and architect complex machine learning projects, from conception through validation to onboard implementation, emphasizing scalability, robustness, and safety-critical operation
Champion innovation in neural network architectures, training methodologies, and inference optimization strategies suited for real-time onboard deployment
Provide technical mentorship and thought leadership, elevating engineering practices, and fostering ML innovation across teams
Collaborate closely with multidisciplinary engineering groups, ensuring seamless integration of ML capabilities into autonomous vehicle systems
Influence technical roadmaps, shaping strategic ML priorities aligned with company objectives and product milestones

What we offer

An incentive pay program offers payouts based on company performance, job level, and individual performance
This job may be eligible for relocation benefits
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

Fulltime

Sr Staff Engineer - Core Infrastructure

We are seeking a Senior Staff Engineer (L6) to lead the technical strategy and e...

Location

United States , New York; Seattle; San Francisco; Sunnyvale

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

12+ years of software engineering experience, with a focus on massive-scale distributed systems or infrastructure
Proven Track Record at Scale: Experience managing infrastructure that supports millions of concurrent users or petabyte-scale data processing
Deep Systems Expertise: Mastery of Kubernetes internals, container runtimes, and the Linux kernel, with the ability to debug impossible performance bottlenecks
Cloud-Native Fluency: Deep experience with cloud-native networking (Envoy, CNI, Service Mesh) and multi-cloud (AWS/GCP) architecture
Coding Proficiency: Expert-level proficiency in Go, Java, or C++
Leadership: Demonstrated ability to lead 40+ person technical initiatives and influence VPs and GMs on infrastructure investment

Job Responsibility

Architect Strategic Efficiency: Own the technical vision to drive fleet-wide CPU utilization and unit-cost optimization through ARM adoption (targeting XM+ cores) and silicon diversity
Scale AI & ML Infrastructure: Define the architecture for shared GPU pools and high-performance clusters to support 300x larger ranking models and Autonomous Vehicle data ingestion
Modernize the Data Plane: Drive the convergence of Uber’s networking stack toward industry standards (Kubernetes, Envoy, CNI) while enhancing SkyEdge for active-active multi-cloud resilience
Enforce Foundations & Reliability: Lead the 100% Done-Done initiative, ensuring every service follows standardized safe-deployment (Starship) and reaches 100% zero-trust authorization
Agentic Augmentation: Integrate AI-driven Minions and AIOps into the infrastructure to automate 80% of alerts and unlock thousands of years of developer productivity
Cross-Org Influence: Partner with Delivery, Rides, and AV teams to ensure the infrastructure isn't just a container, but a competitive advantage that accelerates their time-to-market
Mentor Staff+ Engineers: Act as a force multiplier by coaching the next generation of technical leaders and influencing company-wide engineering standards

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible to participate in a 401(k) plan
Various benefits

Fulltime

Sr Staff AV Behavior Safety Engineer

The Safety Assurance for Effective Autonomous Driving Software (SAFE‑ADS) depart...

Location

United States

Salary:

185100.00 - 284100.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
6+ years of experience in machine learning, engineering, data science, or a related field
6+ years in autonomous vehicle or robotics development or related field
Demonstrated experience working on production‑intent AV programs
Track record providing technical safety leadership in AV development (e.g., defining safety strategies, risk assessments, validation methodologies, safety case contributions)
Deep understanding of AV behavior development: defining ODDs, behaviors, and evaluation criteria
analyzing simulation, closed‑course, and public‑road test data
and generating prioritized, actionable recommendations for developers
Experience applying AV safety standards and best practices, such as ISO 5083, ISO 21448 (SOTIF), and AVSC practices
Excellent communication and storytelling skills, including the ability to explain complex technical tradeoffs to executives and non‑technical stakeholders

Job Responsibility

Lead the strategy and support execution for how GM defines, measures, and validates the safety of SAE Level 3 – 4 Automated Driving Systems powered by machine‑learned models
Reference and interpret standards such as ISO 21448 (SOTIF), ISO 5083, and AVSC best practices to define GM’s strategy for safe autonomous system development, validation and deployment
Own the behavior‑focused portion of the ADS Safety Case, including key claims, sufficiency criteria, and recommended evidence for AV behavior safety performance
Collaborate with Software Validation, Embodied AI, Simulation, and Safety Metrics teams to define the end‑to‑end AV behavior validation methodology for AI‑driven systems
Set the strategy for how we systematically break down ODDs and how performance is validated per behavior and in aggregate
Collaborate on evaluation metrics, human benchmarks, and safety launch targets for AV behaviors and overall system performance
This includes supporting development of safety performance indicators (SPIs) for AV behaviors
Assess AV performance across safety and reliability dimensions using simulation, closed‑course, and public‑road data and provide clear, prioritized feedback to engineering teams
Define and run an assurance process to verify the sufficiency criteria and safety targets to support launch readiness

What we offer

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
Company vehicle evaluation program
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance

Fulltime

Staff Research Scientist - VLM / VLA

At General Motors, our product teams are redefining mobility. Through a human-ce...

Location

United States , Mountain View

Salary:

218800.00 - 335300.00 USD / Year

General Motors

Expiration Date

Until further notice

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

Job Responsibility

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

What we offer

Medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

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Staff Software Engineer, Vehicle AI

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

Looking for more opportunities?

Staff Software Engineer, Vehicle AI

Staff Software Engineer, Vehicle AI

Staff Software Engineer, Vehicle AI

Staff Software Engineer

Staff Software Engineer

Staff ML Engineer - Embodied AI

Sr Staff Engineer - Core Infrastructure

Sr Staff AV Behavior Safety Engineer

Staff Research Scientist - VLM / VLA

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