Staff AIML Full-Stack Engineer, AV Pipelines & Lineage

GM

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profile Job Location:

Sunnyvale, CA - USA

profile Monthly Salary: Not Disclosed
Posted on: 20 hours ago
Vacancies: 1 Vacancy

Job Summary

Job Description

WereGeneral Motors (GM) a company driving the future of mobility with advanced self-driving and electric vehicle technologies.

TheAV Pipelines & Lineageteam at GM builds core infrastructure that supports theend-to-end AI lifecycleof ML pipelinesfrom local experimentation and large-scale training to evaluation lineage tracking and operational visibility. Our platforms spanboth backend systems and user-facing interfaces enabling ML engineers and researchers to develop understand and evolve models efficiently across diverse environments.

We enablereproducible traceable and efficient ML experimentation significantly accelerating engineering velocity across GMs AI and ML initiatives.

The Role:

As aStaff AI/ML Full-Stack Engineer you will design and buildend-to-end software products owning everything from user-facing interfaces to backend services and cloud infrastructure. You will lead technically complex projects collaborate closely with product managers and platform teams and mentor junior engineers. This is ahands-on individual contributor rolewith a strong emphasis on technical depth system design and product impact rather than people management.

Note: This role is part of an ML infrastructure engineering team and does not involve applying machine learning models for specific tasks. The focus is on developing infrastructure products that empower GM teams to perform machine learning and data science atscale.

Whatyoulldo

  • Full-Stack Development:Design implement andmaintainuser-facing web applications and internal tools used by AV engineering teams. Build scalable backend services and APIs that power frontend experiences. Ensure systems are secure reliable and performant at scale.
  • Frontend Engineering:Develop modern responsive UIs using frameworks such as React Angular or similar Collaborate with UX and product partners to deliver intuitive workflows and polished user experiences. Translate complex backend concepts into clear usable interfaces.
  • Design & Implementation:Utilizethe latest cloud technologies (GCP/Azure) to design implement and test scalable distributed computing and data processing solutions in the cloud.
  • Project Ownership:Take ownership of technical projects frominceptionto completion contribute to the product roadmap and make informed decisions on major technical trade-offs.
  • Collaboration:Engage effectively in team planning code reviews and design discussions considering the impact of projects across multiple teams while proactively managing conflicts.
  • Mentorship & Recruitment:Conduct technical interviews with calibrated standards onboard and mentor engineers and interns fostering a culture of growth and knowledge sharing.

Your Skills & Abilities (Required Qualifications)

  • 5 years of professional software engineering experience includingfull-stack development.
  • Experience building and operatingproduction-grade web applications
  • 3 years of experience leading and driving large-scale initiatives.
  • Proficiencyin building scalable infrastructureon the cloudusing Python C Golang or similar languages.
  • Experience working with relational and NoSQL databases.
  • Demonstrated ability to develop andmaintainsystems at scale.
  • A Bachelors Masters or Ph.D. in Computer Science Electrical Engineering Mathematics Physics or a related field; or equivalent practical experience.

What Will Give You a Competitive Edge (Preferred Qualifications)

  • Experience with open-source orchestration platforms such as Kubeflow Flyte Airflow etc.
  • Experience with Google Cloud Platform Microsoft Azure or Amazon Web Services
  • Experience with Kubernetes.
  • Understanding ofMachine Learning (ML) models/pipelines.
  • Python/C/Golangproficiency.
  • Relevant publications.

Compensation:The compensation information is a good faith estimate only. It is based on what a successful applicant might be paidin accordance withapplicable state laws. The compensation may not be representative for positionslocatedoutside of New York Colorado California or Washington.

  • The salary range for this role is$172420 to $297500. 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 incentivepayprogram 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 tuitionassistanceprograms employeeassistanceprogram GM vehicle discounts and more.

Benefits:

  • 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 tuitionassistanceprograms employeeassistanceprogram GM vehicle discounts and more.

Relocation:This job may be eligible forrelocationbenefits.

Remote/Hybrid: This role is basedremotelybut 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.

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 were looking out for your well-beingat work and at homeso you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

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.

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 us or call us 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.


Required Experience:

Staff IC

Job DescriptionWereGeneral Motors (GM) a company driving the future of mobility with advanced self-driving and electric vehicle technologies.TheAV Pipelines & Lineageteam at GM builds core infrastructure that supports theend-to-end AI lifecycleof ML pipelinesfrom local experimentation and large-scal...
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Key Skills

  • Computer Science
  • Docker
  • Kubernetes
  • Python
  • VMware
  • C/C++
  • Go
  • System Architecture
  • gRPC
  • OS Kernels
  • Perl
  • Distributed Systems

About Company

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GM is home to Chevrolet, Buick, GMC & Cadillac and has been leading the auto industry for over a century. See how we create a vehicle for every drive.

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