Tech Lead Manager, Model Integration
Job Location:
Sunnyvale, CA - USA
Monthly Salary:
Posted on:
Vacancies:
Job Summary
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 theModel Integrationteam 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 aTechLeadManagerto lead and grow ourModel Integrationteam. 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 Youll 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 integratedvalidated and released efficiently.
Improve model onboarding configuration interface management observability and release-readiness processes across the integration lifecycle.
Identifyand 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 anddeliverkey 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 GMs 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 oroperatinginternal 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 communicationand 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 driverassistancesystems 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.
Experienceestablishingreview 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 aplatformcapability across an engineering organization.
Youcantranslate 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 havea track recordof 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$218800- $335300. 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 GM
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Benefits Overview
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Non-Discrimination and Equal Employment Opportunities (U.S.)
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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.
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Required Experience:
Manager
About Company
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