Sunnyvale, CA · Hybrid
$119K - $187K/yr
We are looking for a Software Engineer to join our team and help us scale our platform for ... Experience infrastructure applications or similar experience Compensation: The compensation ...
Sunnyvale, CA · Hybrid
$119K - $187K/yr
We are looking for a Software Engineer to join our team and help us scale our platform for ... Experience infrastructure applications or similar experience Compensation: The compensation ...
Redwood City, CA · On-site
$220K - $320K/yr
Position Overview As a ML Training Infrastructure Engineer, you will architect and build the systems that turn our multi-cloud GPU fleet into a training engine our researchers love. Your charter is ...
Redwood City, CA · On-site
$220K - $320K/yr
Position Overview As a ML Training Infrastructure Engineer, you will architect and build the systems that turn our multi-cloud GPU fleet into a training engine our researchers love. Your charter is ...
Sunnyvale, CA · On-site
$119K - $187K/yr
We are looking for a Software Engineer to join our team and help us scale our platform for ... Experience infrastructure applications or similar experience Compensation: The compensation ...
Sunnyvale, CA · On-site
$119K - $187K/yr
We are looking for a Software Engineer to join our team and help us scale our platform for ... Experience infrastructure applications or similar experience Compensation: The compensation ...
Sunnyvale, CA · On-site
$127K - $173K/yr
ML Data Infrastructure Engineer LOCATION: Sunnyvale CA or Remote Duration: 12+ Months Rate: DOE Key skills - GCP ML Infrastructure, BigQuery, Dataflow, Airflow ( Cloud composer), Vertext AI ...
Sunnyvale, CA · On-site
$127K - $173K/yr
ML Data Infrastructure Engineer LOCATION: Sunnyvale CA or Remote Duration: 12+ Months Rate: DOE Key skills - GCP ML Infrastructure, BigQuery, Dataflow, Airflow ( Cloud composer), Vertext AI ...
Palo Alto, CA · On-site
$124K - $250K/yr
A Day in the Life As a member of our software engineering infra team, you'll solve technical challenges, including upgrading and implementing state-of-the-art software infrastructure. The team builds ...
Palo Alto, CA · On-site
$124K - $250K/yr
A Day in the Life As a member of our software engineering infra team, you'll solve technical challenges, including upgrading and implementing state-of-the-art software infrastructure. The team builds ...
Sunnyvale, CA · On-site
$197K - $326K/yr
We are seeking a Staff ML Infrastructure engineer to help build and scale robust Compute platforms for Simulation, data labeling, and data generation workflows. In this role, you will focus on ...
Sunnyvale, CA · On-site
$197K - $326K/yr
We are seeking a Staff ML Infrastructure engineer to help build and scale robust Compute platforms for Simulation, data labeling, and data generation workflows. In this role, you will focus on ...
$126K - $165K/yr
A Day in the Life As a member of our software engineering infra team, you'll solve technical challenges, including upgrading and implementing state-of-the-art software infrastructure. The team builds ...
$126K - $165K/yr
A Day in the Life As a member of our software engineering infra team, you'll solve technical challenges, including upgrading and implementing state-of-the-art software infrastructure. The team builds ...
Edison, NJ · On-site
$112K - $152K/yr
As the Senior ML Infrastructure Engineer the resource will own the end-to-end infrastructure layer - from GPU cluster configuration and CUDA runtime management to Kubernetes job orchestration and ...
Edison, NJ · On-site
$112K - $152K/yr
As the Senior ML Infrastructure Engineer the resource will own the end-to-end infrastructure layer - from GPU cluster configuration and CUDA runtime management to Kubernetes job orchestration and ...
Sunnyvale, CA · On-site +1
$155K - $205K/yr
We are seeking a Senior ML Infrastructure engineer to help build and scale robust platforms for ML Inference workflows. In this role, you'll work closely with ML engineers and researchers to ensure ...
Sunnyvale, CA · On-site +1
$155K - $205K/yr
We are seeking a Senior ML Infrastructure engineer to help build and scale robust platforms for ML Inference workflows. In this role, you'll work closely with ML engineers and researchers to ensure ...
Mountain View, CA · On-site +1
$155K - $205K/yr
We are seeking a Senior ML Infrastructure engineer to help build and scale robust platforms for ML Inference workflows. In this role, you'll work closely with ML engineers and researchers to ensure ...
Mountain View, CA · On-site +1
$155K - $205K/yr
We are seeking a Senior ML Infrastructure engineer to help build and scale robust platforms for ML Inference workflows. In this role, you'll work closely with ML engineers and researchers to ensure ...
$128K - $174K/yr
We are seeking a Senior ML Infrastructure engineer to help build and scale robust Compute platforms for Simulation workflows. In this role, you will focus on scaling, driving efficiency, and ...
$128K - $174K/yr
We are seeking a Senior ML Infrastructure engineer to help build and scale robust Compute platforms for Simulation workflows. In this role, you will focus on scaling, driving efficiency, and ...
Warren, MI · On-site +1
$155K - $205K/yr
We are seeking a Senior ML Infrastructure engineer to help build and scale robust platforms for ML Inference workflows. In this role, you'll work closely with ML engineers and researchers to ensure ...
Warren, MI · On-site +1
$155K - $205K/yr
We are seeking a Senior ML Infrastructure engineer to help build and scale robust platforms for ML Inference workflows. In this role, you'll work closely with ML engineers and researchers to ensure ...
Austin, TX · On-site +1
$155K - $205K/yr
We are seeking a Senior ML Infrastructure engineer to help build and scale robust platforms for ML Inference workflows. In this role, you'll work closely with ML engineers and researchers to ensure ...
Austin, TX · On-site +1
$155K - $205K/yr
We are seeking a Senior ML Infrastructure engineer to help build and scale robust platforms for ML Inference workflows. In this role, you'll work closely with ML engineers and researchers to ensure ...
$127K - $173K/yr
We are seeking a Senior ML Infrastructure engineer to help build and scale robust Compute platforms for Simulation workflows. In this role, you will focus on scaling, driving efficiency, and ...
$127K - $173K/yr
We are seeking a Senior ML Infrastructure engineer to help build and scale robust Compute platforms for Simulation workflows. In this role, you will focus on scaling, driving efficiency, and ...
Sunnyvale, CA · On-site
$155K - $205K/yr
We are seeking a Senior ML Infrastructure engineer to help build and scale robust platforms for ML Inference workflows. In this role, you'll work closely with ML engineers and researchers to ensure ...
Sunnyvale, CA · On-site
$155K - $205K/yr
We are seeking a Senior ML Infrastructure engineer to help build and scale robust platforms for ML Inference workflows. In this role, you'll work closely with ML engineers and researchers to ensure ...
Sunnyvale, CA · On-site
$127K - $173K/yr
We are seeking a Senior ML Infrastructure engineer to help build and scale robust Compute platforms for Simulation workflows. In this role, you will focus on scaling, driving efficiency, and high ...
Sunnyvale, CA · On-site
$127K - $173K/yr
We are seeking a Senior ML Infrastructure engineer to help build and scale robust Compute platforms for Simulation workflows. In this role, you will focus on scaling, driving efficiency, and high ...
San Diego, CA · On-site
$115K - $156K/yr
... in ML infrastructure, focusing on distributed and parallelized training of images and videos, and efficient utilization of training hardware. Minimum Qualifications BS in Electrical Engineering ...
San Diego, CA · On-site
$115K - $156K/yr
... in ML infrastructure, focusing on distributed and parallelized training of images and videos, and efficient utilization of training hardware. Minimum Qualifications BS in Electrical Engineering ...
New York, NY · On-site
$118K - $161K/yr
We're a small, highly selective team of 30+ engineers, researchers, and GTM specialists, with ... infrastructure or distributed training systems at scale. At a major AI lab, a well-funded ML ...
New York, NY · On-site
$118K - $161K/yr
We're a small, highly selective team of 30+ engineers, researchers, and GTM specialists, with ... infrastructure or distributed training systems at scale. At a major AI lab, a well-funded ML ...
$130K - $240K/yr
This is a high-impact role at the intersection of cloud infrastructure and ML systems. Key ... Collaborate directly with senior engineers and product teams on architecture decisions * Own ...
$130K - $240K/yr
This is a high-impact role at the intersection of cloud infrastructure and ML systems. Key ... Collaborate directly with senior engineers and product teams on architecture decisions * Own ...
San Francisco, CA · On-site
$130K - $240K/yr
This is a high-impact role at the intersection of cloud infrastructure and ML systems. Key ... Collaborate directly with senior engineers and product teams on architecture decisions * Own ...
Quick apply
San Francisco, CA · On-site
$130K - $240K/yr
This is a high-impact role at the intersection of cloud infrastructure and ML systems. Key ... Collaborate directly with senior engineers and product teams on architecture decisions * Own ...
$46.5K - $58.8K
1% of jobs
$58.8K - $71.1K
1% of jobs
$71.1K - $83.5K
4% of jobs
$83.5K - $95.8K
9% of jobs
$95.8K - $108.1K
10% of jobs
$108.8K is the 25th percentile. Wages below this are outliers.
$108.1K - $120.4K
10% of jobs
The median wage is $125.4K / yr.
$120.4K - $132.7K
39% of jobs
$135.4K is the 75th percentile. Wages above this are outliers.
$132.7K - $145K
7% of jobs
$145K - $157.4K
10% of jobs
$157.4K - $169.7K
9% of jobs
$169.7K - $182K
1% of jobs
$46.5K
$127.1K
$182K
| Aspect | ML Infrastructure Engineer | Data Engineer |
|---|---|---|
| Required Credentials | Bachelor's/Master's in CS, experience with cloud platforms, scripting, and ML tools | Bachelor's/Master's in CS, experience with databases, ETL, and data pipelines |
| Work Environment | Focus on deploying and maintaining ML systems, cloud infrastructure, and automation | Designing and building data pipelines, managing large datasets, and data storage |
| Employer & Industry Usage | Tech companies, AI startups, research labs | Finance, healthcare, e-commerce, and data-driven industries |
The ML Infrastructure Engineer specializes in building and maintaining the infrastructure that supports machine learning models, focusing on deployment, scalability, and automation. In contrast, Data Engineers primarily develop data pipelines and manage large datasets to enable data analysis and business intelligence. Both roles require strong technical skills and often overlap, but their core focus areas differ significantly.
$119K - $187K/yr
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 5 days ago
8.0
Based on 307 frontline employees who took The Breakroom Quiz
6th of 44 rated automakers
Job Description
The Role:
We are looking for a Software Engineer to join our team and help us scale our platform for performance, reliability, and usability.You'llbe responsible forbuilding critical backend services, integrating with GPU hardware and orchestration systems, and driving improvements to both system architecture and user experience.
Whatyou'lldo
Your Skills & Abilities (Required Qualifications)
What Will Give You a Competitive Edge (Preferred Qualifications)
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$119,220 to $187,500. 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.
Hybrid: This role is based hybridfrom Sunnyvale 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, 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.
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 at 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.
Get the full story on Breakroom
Sourced by ZipRecruiter
General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.
Transportation equipment manufacturing
10,000+ Employees
Detroit, MI, US
1908
