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Graduate Infrastructure Engineer Jobs (NOW HIRING)

ML Infrastructure Engineer

Palo Alto, CA · On-site

$180K - $440K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

As an ML Infrastructure Engineer, you will play a pivotal role in building and optimizing the ... Bachelor, Master, Post-graduate or PhD in computer science, machine learning, or other quantitative ...

ML Infrastructure Engineer

Palo Alto, CA · On-site

$180K - $440K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

As an ML Infrastructure Engineer, you will play a pivotal role in building and optimizing the ... Bachelor, Master, Post-graduate or PhD in computer science, machine learning, or other quantitative ...

ML Infrastructure Engineer

Palo Alto, CA · On-site

$180K - $440K/yr

As an ML Infrastructure Engineer, you will play a pivotal role in building and optimizing the ... Bachelor, Master, Post-graduate or PhD in computer science, machine learning, or other quantitative ...

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Showing results 1-20

Graduate Infrastructure Engineer information

See salary details

$46.5K

$127.1K

$182K

How much do graduate infrastructure engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for graduate infrastructure engineer in the United States is $127,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $141,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a graduate infrastructure engineer, and why are they important?

To thrive as a Graduate Infrastructure Engineer, you need a degree in civil or structural engineering and a strong grasp of engineering principles and construction processes. Familiarity with technical tools such as AutoCAD, Civil 3D, and relevant design software, as well as knowledge of industry standards, is typically required. Strong problem-solving abilities, teamwork, and effective communication help you collaborate with diverse stakeholders and tackle complex projects. These skills and qualifications are vital for delivering safe, efficient, and sustainable infrastructure solutions.

What is the difference between Graduate Infrastructure Engineer vs Infrastructure Technician?

AspectGraduate Infrastructure EngineerInfrastructure Technician
QualificationsBachelor's degree in engineering, IT, or related fieldVocational training or certifications in infrastructure support
Work EnvironmentDesign, planning, and project development in engineering settingsMaintenance, troubleshooting, and support in operational environments
Industry UsageUsed in engineering firms, construction, and IT infrastructure projectsCommon in IT support, network management, and infrastructure maintenance

The Graduate Infrastructure Engineer typically focuses on designing and planning infrastructure projects, requiring a relevant degree. In contrast, the Infrastructure Technician handles day-to-day support and maintenance tasks, often with vocational training. Both roles are essential in infrastructure development and support, but they differ in responsibilities and qualifications.

What does a graduate infrastructure engineer do?

A Graduate Infrastructure Engineer assists in the design, development, and maintenance of essential infrastructure projects such as roads, bridges, water systems, and utilities. They typically work under the supervision of senior engineers, gaining hands-on experience through project planning, site inspections, and technical analysis. This role is ideal for recent engineering graduates seeking to apply their academic knowledge to real-world projects while working toward professional accreditation. Graduate Infrastructure Engineers also collaborate with multidisciplinary teams to deliver safe, sustainable, and cost-effective solutions.

What types of projects and responsibilities can a graduate infrastructure engineer expect during their first year on the job?

As a Graduate Infrastructure Engineer, you can expect to be involved in a variety of tasks such as assisting with the design and analysis of infrastructure projects, preparing technical drawings and reports, and supporting senior engineers with site inspections. Early responsibilities often include working on roadways, bridges, drainage systems, or utility networks, as well as learning to use industry-standard software. You’ll typically work closely with multidisciplinary teams, gaining exposure to project management processes and client communications. This hands-on experience is designed to develop your technical skills and industry knowledge, preparing you for greater autonomy and progression in your engineering career.
More about Graduate Infrastructure Engineer jobs
What cities are hiring for Graduate Infrastructure Engineer jobs? Cities with the most Graduate Infrastructure Engineer job openings:
Infographic showing various Graduate Infrastructure Engineer job openings in the United States as of August 2026, with employment types broken down into 3% As Needed, 75% Full Time, 20% Part Time, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $127,066 per year, or $61.1 per hour.

ML Infrastructure Engineer

SpaceXAI

Palo Alto, CA • On-site

$180K - $440K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 21 days ago


SpaceX rating

8.8

Company rating: 8.8 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

15th of 72 rated aerospace companies


Job description

ABOUT THE ROLE:

As an ML Infrastructure Engineer, you will play a pivotal role in building and optimizing the reliable, high-performance ML platform that powers recommendations on X. We're looking for exceptional engineers who are passionate about our mission and have a strong desire to make a meaningful impact.

RESPONSIBILITIES:
  • Designing, building, and scaling GPU compute infrastructure, training frameworks, and experimentation tools to enable rapid iteration on ML hypotheses
  • Developing data pipelines and integrating large-scale data, training, and inference systems
  • Collaborating with ML teams to productionize models and ensure seamless integration across the stack
  • Ensuring scalability, reliability, and efficiency of large-scale machine learning systems
  • Working across the full stack to solve complex problems independently
  • Mentoring junior engineers and contributing to the growth of the team
BASIC QUALIFICATIONS:
  • Bachelor, Master, Post-graduate or PhD in computer science, machine learning, or other quantitative discipline; or equivalent work experience
  • 2+ years of industry experience working with high traffic or large-scale production environments, distributed systems, GPU infrastructure, and/or deep learning applications
  • 2+ years experience with ML platforms, training infrastructure, or close collaboration with modeling engineers and data scientists
  • Strong proficiency with Python and experience with compiled languages such as C++ or Rust
PREFERRED SKILLS AND EXPERIENCE:
  • Deep familiarity with modern ML frameworks such as JAX or PyTorch
  • Low-level understanding of compute systems, including distributed storage, NVIDIA drivers, CUDA toolkits, and networking
  • Comfortable with Linux systems and orchestration tools
  • Experience with job schedulers (e.g., Slurm), configuration management (Puppet/Ansible), or related infrastructure tooling
COMPENSATION AND BENEFITS:

$180,000 - $440,000 USD

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.


What SpaceX employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About SpaceX

Sourced by ZipRecruiter

Industry

Aerospace product and parts manufacturing, data services, guided missile and space vehicle manufacturing and satellite telecommunications

Company size

1,001 - 5,000 Employees

Headquarters location

Hawthorne, CA, US