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Added 3 days ago
IT Manager
NexTech Solutions LLC
Huntsville, AL
…Department of State and Department of War customers. The IT Manager runs NTS corporate IT day to day: infrastructure, endpoints, identity, collaboration tools, business systems, and the…
Added 4 days ago
Technical Program Manager, Infrastructure
Andromeda Cluster
Remote, United States
Andromeda's infrastructure team designs, deploys, and operates large-scale GPU clusters for AI labs and compute providers. The Technical Program Manager runs program delivery across our…
Added 4 days ago
Senior Machine Learning Engineer, Inference
AIDA Recruitment
Mountain View · Mountain View, CA
Inference: The team owns how our client’s models run in production – inference engines, GPU efficiency, model acceleration and the distributed serving infrastructure behind realtime voice…
Added 4 days ago
Senior Technical Program Manager, Corporate Builds
Nebius
United States
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model…
Added 5 days ago
J
GPU Infrastructure Deployment Program Manager
Jobgether
Remote, United States
- $120,000 to $200,000 USD / year
…all applications and next steps. Our partner is looking for a GPU Infrastructure Deployment Program Manager based in the United…
Added 5 days ago
Director, Reliability Hardware Systems
IREN
Remote, United States
The Director, Reliability Hardware Systems owns end-to-end hardware reliability and failure analysis (FA) for IREN’s AI infrastructure, serving as the primary advocate for product stability…
Added 5 days ago
Principal Data Center & Cloud Engineering Lead and Strategist
TISTA Science and Technology Corporation
Remote-United States
Employment: Full-time | Proposed reporting: IE&O Program Manager
Added 6 days ago
Senior Technical Program Manager, Cloud Infrastructure
NVIDIA USA
CA · WA
As an Infrastructure Technical Program Manager, you'll be a key partner to our external CSP/NCP partners as well as key internal teams (Software Engineering, Production Engineering/SRE, and…
Added 6 days ago
PD
Senior DevSecOps Engineer
Pantheon Data
Reston, VA
- $100,000 to $150,000 USD / year
…service offerings have grown in the past ten years, including infrastructure resiliency, contact center operations, information technology, software engineering, program management,…
Added 6 days ago
Contracts Manager (Procurement)
Lynx Software Technologies, Inc.
Remote, United States
LYNX MOSA.ic.AI: LYNX MOSA.ic.AI is a unified CPU and GPU software platform that enables deterministic, certifiable deployment of AI and advanced workloads in mission-critical edge systems.…
Added 9 days ago
Staff Accountant
Lynx Software Technologies, Inc.
Campbell, CA
LYNX MOSA.ic.AI: LYNX MOSA.ic.AI is a unified CPU and GPU software platform that enables deterministic, certifiable deployment of AI and advanced workloads in mission-critical edge systems.…
Added 11 days ago
Startup Community Manager
Nebius
San Francisco Bay Area, CA · San Francisco, CA
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model…
Added 13 days ago
Senior Project Manager – Network Infrastructure Design & Standards
IREN
Remote, United States
Reporting to the Director, Network Delivery, the Senior Project Manager – Network Infrastructure Design & Standards is the portfolio design authority for the passive and physical network…
Added 13 days ago
CI
Senior Vehicle Infrastructure Engineer
Cyngn, Inc.
Mountain View, CA
- $165,000 to $185,000 USD / year
As a Senior Vehicle Infrastructure Engineer, you are the architect of reliability and scale, owning the OS, provisioning, and release paths that ensure our autonomous fleet operates…
Added 16 days ago
Senior Technical Program Manager, Infrastructure Programs
Vultr
Remote, United States
We are looking for a Senior Technical Program Manager to lead the end-to-end turn-up, onboarding, and validation of data center infrastructure - from physical installation to a fully…
Added 18 days ago
M
Senior Technical Program Manager
Microsoft
WA · DC · GA · Redmond, WA · Washington, DC · Atlanta, GA · Redmond · Washington · Atlanta
- $119,800 to $261,000 USD / year
As a Senior Technical Program Manager in Region Health, you will turn complex technical and business signals into clear assessments, timely decisions, and coordinated action. You will…
Added 22 days ago
Senior Manager, AI Deployment
General Motors
Columbus, OH
We are looking for a Senior Manager, AI Deployment to lead the strategy and execution of model performance and on-vehicle inference for autonomous driving. You will lead engineering…
Added 22 days ago
Senior Manager, AI Deployment
General Motors
Sacramento, CA · Sunnyvale, CA
We are looking for a Senior Manager, AI Deployment to lead the strategy and execution of model performance and on-vehicle inference for autonomous driving. You will lead engineering…
Added 22 days ago
Senior Manager, AI Deployment
General Motors
Phoenix, AZ
We are looking for a Senior Manager, AI Deployment to lead the strategy and execution of model performance and on-vehicle inference for autonomous driving. You will lead engineering…
Added 22 days ago
Senior Manager, AI Deployment
General Motors
Washington, DC
We are looking for a Senior Manager, AI Deployment to lead the strategy and execution of model performance and on-vehicle inference for autonomous driving. You will lead engineering…
Added 22 days ago
Senior Manager, AI Deployment
General Motors
Madison, WI
We are looking for a Senior Manager, AI Deployment to lead the strategy and execution of model performance and on-vehicle inference for autonomous driving. You will lead engineering…
Added 22 days ago
Senior Manager, AI Deployment
General Motors
Charleston, WV
We are looking for a Senior Manager, AI Deployment to lead the strategy and execution of model performance and on-vehicle inference for autonomous driving. You will lead engineering…
Added 22 days ago
Senior Manager, AI Deployment
General Motors
Olympia, WA
We are looking for a Senior Manager, AI Deployment to lead the strategy and execution of model performance and on-vehicle inference for autonomous driving. You will lead engineering…
Added 22 days ago
Senior Manager, AI Deployment
General Motors
Richmond, VA
We are looking for a Senior Manager, AI Deployment to lead the strategy and execution of model performance and on-vehicle inference for autonomous driving. You will lead engineering…
Added 22 days ago
Senior Manager, AI Deployment
General Motors
Salt Lake City, UT
We are looking for a Senior Manager, AI Deployment to lead the strategy and execution of model performance and on-vehicle inference for autonomous driving. You will lead engineering…

General Motors

Senior Manager, AI Deployment

Columbus, OH, United States

Compensation: The expected base compensation for this role is : $296,300 - $453,900 Actual base compensation within the identified range will vary based on factors relevant to the position.

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Job details

Pay: Compensation: The expected base compensation for this role is : $296,300 - $453,900 Actual base compensation within the identified range will vary based on factors relevant to the position.
Posting language: English
Posted: Sep 11, 2026

Original job description

Remote

Remote - United States

Sunnyvale, California, United States of America

Full time

JR-202619803

Job Description

About the Organization

General Motors is developing the software and artificial intelligence capabilities for the next generation of autonomous driving. Within AI Foundations, AI Acceleration makes machine learning models faster, more efficient, and more reliable on production vehicle hardware.

The AI Deployment team owns model inference performance across simulation, hardware-in-the-loop, bench, and vehicle environments. The team focuses on latency, memory, GPU utilization, numerical parity, profiling, benchmarking, reduced precision, and production readiness.

About the Role

We are looking for a Senior Manager, AI Deployment to lead the strategy and execution of model performance and on-vehicle inference for autonomous driving. You will lead engineering managers and senior technical leaders working across model optimization, GPU systems, inference runtimes, and vehicle integration. You will set performance goals, guide optimization of complex autonomy models, and establish disciplined methods to measure latency, diagnose regressions, and validate improvements. Success requires strong technical judgment, people leadership, and the ability to make clear trade-offs among latency, memory, throughput, accuracy, power, and numerical parity.

What You’ll Do

Own the strategy, roadmap, and operating plan for AI model performance and inference quality.
Establish performance budgets for latency, throughput, memory, GPU utilization, power, and numerical parity.
Lead investigations into performance bottlenecks across model architecture, operators, kernels, memory movement, scheduling, runtime behavior, and hardware utilization.
Establish repeatable benchmarking and profiling practices across simulation, hardware-in-the-loop, bench, and vehicle environments.
Guide optimization through model architecture changes, operator and kernel improvements, memory optimization, scheduling, and hardware-aware execution.
Build performance dashboards, regression detection, benchmark automation, and root-cause diagnostics.
Partner with Embodied AI, model development, GPU kernel, runtime, system performance, vehicle integration, simulation, and safety teams.
Influence model design by translating profiling results into clear recommendations for model architects and researchers.
Represent AI Deployment in architecture reviews, program planning, and senior leadership discussions.

Leadership Responsibilities

Build and lead an inclusive, high-performing organization through hiring, coaching, feedback, and manager development.
Establish clear ownership, priorities, staffing plans, and operating rhythms across performance workstreams.
Define and manage KPIs for inference latency, latency variability, throughput, memory efficiency, GPU utilization, parity, and regression rate.
Balance near-term production needs with longer-term investments in profiling, optimization automation, reduced precision, and performance infrastructure.
Resolve cross-functional issues and align stakeholders when performance, quality, or implementation trade-offs are contested.
Develop technical leaders and succession plans in GPU performance, model optimization, inference systems, and numerical analysis.

Your Skills & Abilities (Required Qualifications)

Bachelor’s degree in Computer Science, Electrical or Computer Engineering, Robotics, Machine Learning, or a related field; advanced degree preferred, or equivalent experience.
10+ years of experience in machine learning systems, model optimization, inference, GPU systems, robotics, autonomous driving, or a related field.
5+ years of people-leadership experience, including experience leading managers or senior technical leaders.
Experience shipping production machine-learning inference systems on GPU, accelerator, robotics, automotive, or other edge hardware.
Strong understanding of the factors that determine model performance: architecture, tensor shapes, operators, kernels, memory movement, scheduling, runtime execution, and hardware utilization.
Hands-on experience with several of the following: PyTorch, CUDA, C++, Python, TensorRT, GPU profiling, benchmarking, performance analysis, or inference runtimes.
Experience with quantization, pruning, distillation, architecture optimization, kernel optimization, or memory optimization.
Experience building benchmark automation, performance regression detection, telemetry, dashboards, or profiling workflows.
Strong systems thinking, communication, decision-making, and cross-functional leadership skills.

What Will Give You a Competitive Edge

Experience optimizing real-time machine-learning systems for autonomous driving, robotics, embedded systems, or computer vision.
Deep experience with GPU performance, memory bandwidth, occupancy, synchronization, stream scheduling, or device-to-device data movement.
Experience with NVIDIA Nsight Systems, NVIDIA Nsight Compute, PyTorch Profiler, TensorRT profiling tools, or equivalent tools.
Experience deploying reduced-precision models and managing calibration, sensitivity, parity, and model-quality risks.
Experience optimizing transformer, vision, lidar, or multimodal workloads.
Experience measuring performance across simulation, hardware-in-the-loop, bench, and vehicle environments.
Experience with safety-critical or highly reliable 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 New York, Colorado, California, or Washington

Compensation: The expected base compensation for this role is : $296,300 - $453,900 Actual base compensation within the identified 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

#GM-AV-1

This role is categorized as remote. This means the selected candidate may be based anywhere in the country of work and is not expected to report to a GM worksite unless directed by their manager.

The selected candidate will be required to travel <25% for this role.

Relocation benefits are available for candidates who qualify under company policy.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (https://search-careers.gm.com/en/working-at-gm/total-rewards) .

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (https://search-careers.gm.com/en/how-we-hire) .

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:

Our Company (https://search-careers.gm.com/en/working-at-gm/)

Our Culture

How we hire (https://search-careers.gm.com/en/how-we-hire/)

Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.

Explore our global locations (https://search-careers.gm.com/en/locations/)

We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM’s Talent Community (beamery.com) (https://flows.beamery.com/generalmotors/talcom) . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.

Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click “Apply Now” on the job posting of interest.

The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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More about this job

Skills

Leadership
Scheduling
Computer science
Computer engineering
Robotics
Machine learning
PyTorch
C++
Python
Systems thinking
Communication skills
Decision making
Embedded systems

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