General Motors

Tech Lead Manager, Model Integration

General Motors$218K — $335K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years in machine learning systems or related large-scale software domains.
  • Strong programming skills in Python and C++.
  • Experience with internal platforms and workflow automation.
  • Background in integrating machine learning models into production systems.
  • Proficient in Linux-based software development and debugging.
  • Proven leadership in technical teams or large initiatives with measurable impact.
  • Excellent communication and stakeholder management skills.

Responsibilities

  • Lead and mentor a team of engineers for model integration into production systems.
  • Set technical direction and roadmap for scalability and reliability.
  • Drive design and development of integration tools and processes.
  • Collaborate with cross-functional teams for model release efficiency.
  • Enhance onboarding and interface management for model integration.
  • Identify and eliminate bottlenecks in automation processes.
  • Establish engineering practices for quality and operational excellence.
  • Support engineers' development through coaching and performance reviews.
  • Foster a collaborative and accountable team culture.

Benefits

  • Comprehensive health coverage including medical, dental, and vision.
  • Health Savings Account and Flexible Spending Accounts.
  • Retirement savings plan and life insurance.
  • Paid vacation and holidays, along with tuition assistance programs.
  • Employee assistance program and GM vehicle discounts.
  • Eligibility for a company vehicle evaluation program.
Full Job Description
Job Description

The Role

At General Motors, we are building the next generation of software and artificial intelligence systems that power advanced vehicle capabilities. Within this work, the Model Integration team helps turn machine learning models into production-ready software by connecting model development with deployment, validation, and vehicle-facing integration workflows.

We are looking for a Tech Lead Manager to lead and grow our Model Integration team. This role combines strong technical leadership with people management and cross-functional execution. The ideal candidate brings experience in machine learning systems, software integration, and platform development, along with a passion for building high-performing teams and scalable engineering workflows.

What You'll Do (Responsibilities)

  • Lead, mentor, and grow a team of engineers focused on integrating machine learning models into large-scale production software systems.


  • Set the technical direction and roadmap for model integration workflows, with a focus on scalability, reliability, automation, and developer productivity.


  • Drive the design and development of tools, platforms, and processes that simplify how models move from development into simulation, testing, and production environments.


  • Partner closely with machine learning engineers, infrastructure teams, software platform teams, and program leaders to ensure models can be integrated, validated, and released efficiently.


  • Improve model onboarding, configuration, interface management, observability, and release-readiness processes across the integration lifecycle.


  • Identify and remove bottlenecks in model integration workflows by reducing manual steps and increasing automation.


  • Establish strong engineering practices for quality, validation, governance, and operational excellence.


  • Work with engineering leadership and program management to define priorities, align dependencies, and deliver key milestones.


  • Conduct performance reviews, provide coaching and feedback, and support engineers in their growth toward senior technical or management roles.


  • Foster an inclusive, collaborative, and high-accountability team culture.


  • Help strengthen GM's engineering culture through hiring, recruiting, and technical leadership.


Your Skills & Abilities (Required Qualifications)

  • 8+ years of experience in machine learning systems, software infrastructure, platform engineering, deployment systems, or related large-scale software domains.


  • Strong software engineering skills with hands-on experience in Python and at least one systems programming language such as C++.


  • Experience building or operating internal platforms, workflow automation, configuration systems, release tooling, or developer-facing infrastructure.


  • Experience integrating machine learning models or complex software components into production systems. Strong understanding of software quality, validation, observability, and reliability in production environments.


  • Experience developing and debugging software in Linux-based environments.


  • Demonstrated success leading technical teams or driving large cross-functional initiatives with measurable business or engineering impact.


  • Strong communication and stakeholder management skills, with the ability to align teams across multiple functions.


What Can Give You a Competitive Edge (Preferred Qualifications)

  • Experience with autonomous systems, robotics, advanced driver assistance systems, or other real-time machine learning applications.


  • Experience with machine learning deployment pipelines, model packaging, configuration management, or production inference workflows.


  • Experience building self-service engineering platforms that improve speed, consistency, and quality.


  • Experience establishing review, governance, and release processes for complex technical systems.


  • Experience with observability, determinism, testing, and release gating for machine learning or distributed systems. Experience applying AI-assisted tooling to software development, machine learning, or platform workflows.


What Will Make You Stand Out

  • You bring a strong vision for how model integration should scale as a platform capability across an engineering organization.


  • You can translate complex technical challenges into practical tools, processes, and roadmaps that improve delivery speed and quality.


  • You are effective at leading through ambiguity and building alignment across diverse technical teams.


  • You have a track record of building high-trust teams that deliver durable technical impact.


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.
  • The salary range for this role: is $218,800- $335,300. 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.
  • 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, tuition assistance programs, employee assistance program, GM vehicle discounts and more.


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.

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About General Motors

General Motors Company engages in the manufacture and sale of cars and trucks in the United States, China, Brazil, Germany, the United Kingdom, Canada, and Italy. It offers sedans, crossovers, sport utility vehicles, pick-up trucks, coupes, sports/convertibles and hybrid vehicles, hatchbacks/wagons, and vans, as well as mini cars in India. The company also provides parts and accessories, such as iPod and MP3 compatibility, mobility accessories, performance parts, AC parts and services, and merchandise. In addition, it offers vehicle safety, security, and information services. The company provides used vehicles. It offers its products through dealers and distributors. General Motors Company was formerly known as NGMCO, Inc. and changed its name to General Motors Company in July 2009. The company was incorporated in 2009 and is based in Detroit, Michigan. It operates manufacturing facilities in India, the United States, and Canada. General Motors Company operates as a subsidiary of the United States Department of The Treasury. General Motors led global vehicle sales for 77 consecutive years from 1931 through 2007, longer than any other automaker, and is currently among the world's largest automakers by vehicle unit sales. General Motors acts in most countries outside the USA via wholly-owned subsidiaries but operates in China through 10 joint ventures. GM's OnStar subsidiary provides vehicle safety, security, and information services. In 2009, General Motors shed several brands, closing Saturn, Pontiac, and Hummer, and emerged from a government-backed Chapter 11 reorganization. In 2010, GM made an initial public offering IPOs to date and returned to profitability later that year.

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Join the dynamic team at General Motors, a global leader in automotive innovation and technology. At General Motors, we offer unparalleled job opportunities that propel your career forward while contributing to a legacy of engineering excellence.

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As part of our global workforce, you will collaborate with talented individuals who are passionate about shaping the future of transportation. General Motors offers a variety of career paths in engineering, design, IT, marketing, and more. With over 155,000 employees worldwide, our network provides expansive opportunities for networking and professional development.

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Start your career journey with a General Motors internship, where you can apply your academic knowledge to real-world projects. Our internships provide a robust foundation in the automotive industry, with mentorship from experienced leaders. Full-time employees enjoy a wealth of benefits, including comprehensive health care, retirement plans, and performance bonuses, ensuring that your hard work is rewarded.

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Learn more about General Motors
Size
157,000 employees
Market Cap
$46.9 billion
Industry
Net Income
$6.4 billion
Founded
1908
5 Year Trend
-3.2%
Revenue
$122.4 billion
NASDAQ

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