2

Entry Level Infrastructure Engineer Jobs in Fremont, CA

Entry-level Mechanical Engineer

San Jose, CA · On-site

$75K - $85K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Entry-level Mechanical Engineer At Salas O'Brien we tell our clients that we're engineered for ... infrastructure asset management, advanced robotics, and more. Our technical expertise is paired ...

Entry-level Mechanical Engineer

San Jose, CA · On-site

$75K - $85K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Entry- level Mechanical Engineer At Salas O'Brien we tell our clients that we're engineered for ... infrastructure asset management, advanced robotics, and more. Our technical expertise is paired ...

Entry-level Mechanical Engineer

San Jose, CA · On-site

$75K - $85K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Entry Level Mechanical Engineer At Salas O'Brien we tell our clients that we're engineered for ... infrastructure asset management, advanced robotics, and more. Our technical expertise is paired ...

We will help you achieve Breakthrough Performance by providing IT Infrastructure, Application ... Coordinating a team of 2-3 entry-level and mid-level engineers or analysts, apply independent ...

next page

Showing results 1-20

Entry Level Infrastructure Engineer information

See Fremont, CA salary details

$50.9K

$139.1K

$199.2K

How much do entry level infrastructure engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for entry level infrastructure engineer in Fremont, CA is $139,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,700.00 and $154,300.00 per year, depending on experience, location, and employer.

What are typical challenges faced by entry level infrastructure engineers during their first year on the job?

Entry level infrastructure engineers often encounter challenges such as adapting to complex system environments, learning proprietary tools, and understanding legacy infrastructure. They may also need to quickly develop troubleshooting skills to address connectivity or hardware issues under tight deadlines. Collaborating effectively with more experienced engineers and cross-functional teams is key to overcoming these hurdles and building a strong technical foundation.

What does an entry level infrastructure engineer do?

An Entry Level Infrastructure Engineer assists with the setup, maintenance, and troubleshooting of an organization’s IT infrastructure, including servers, networks, and cloud services. They typically work under the supervision of senior engineers, helping to ensure that systems are running efficiently and securely. Their tasks may include hardware and software installation, monitoring networks for issues, and supporting users with technical problems. This role is a great starting point for building skills in IT operations and infrastructure management.

What skills and qualifications are needed to thrive as an entry level infrastructure engineer?

To thrive as an Entry Level Infrastructure Engineer, you generally need a solid understanding of networking, operating systems, and basic scripting, typically supported by a relevant degree or technical certification. Familiarity with tools such as Cisco networking devices, VMware, Linux/Windows server environments, and ticketing systems is commonly required. Strong problem-solving skills, attention to detail, and effective communication help you stand out in troubleshooting and collaborating with teams. These skills are crucial for ensuring reliable IT infrastructure performance and seamless support of organizational operations.

What is the difference between Entry Level Infrastructure Engineer vs Network Technician?

AspectEntry Level Infrastructure EngineerNetwork Technician
Required CredentialsBachelor's in IT, Computer Science, or related field; certifications like CompTIA Network+High school diploma or associate degree; certifications like CompTIA Network+
Work EnvironmentDesigning, implementing, and maintaining IT infrastructure; often in office or data center settingsInstalling, troubleshooting, and repairing network hardware; on-site or helpdesk environments
Employer & Industry UsageIT companies, large corporations, data centersTelecom, IT support firms, corporate IT departments

While both roles involve networking skills and certifications like CompTIA Network+, Entry Level Infrastructure Engineers focus on broader infrastructure design and implementation, whereas Network Technicians primarily handle hardware setup and troubleshooting.

What are the most commonly searched types of Infrastructure Engineer jobs in Fremont, CA?

The most popular types of Infrastructure Engineer jobs in Fremont, CA are:

What are popular job titles related to Entry Level Infrastructure Engineer jobs in Fremont, CA?

For Entry Level Infrastructure Engineer jobs in Fremont, CA, the most frequently searched job titles are:

What job categories do people searching Entry Level Infrastructure Engineer jobs in Fremont, CA look for?

The top searched job categories for Entry Level Infrastructure Engineer jobs in Fremont, CA are:

What cities near Fremont, CA are hiring for Entry Level Infrastructure Engineer jobs?

Cities near Fremont, CA with the most Entry Level Infrastructure Engineer job openings:

Infographic showing various Entry Level Infrastructure Engineer job openings in Fremont, CA as of August 2026, with employment types broken down into 72% Full Time, 14% Part Time, and 14% Contract. Highlights an 100% In-person job distribution, with an average salary of $139,095 per year, or $66.9 per hour.

Machine Learning Engineer, Offline Infrastructure (Entry-Level / New Grad PhD)

3M HEALTHCARE

Mountain View, CA • On-site

$112.70 - $162.04/hr

Other

Medical, Life, Retirement, PTO

Posted 11 days ago


Job description

The opportunity

Unity Vector builds an offline ML platform that powers insight, experimentation, attribution, and AI‑driven decision‑making across the company.

Our systems operate at scale across batch and streaming data, supporting analytics, product intelligence, machine learning pipelines, and business operations. As data volume and complexity grow, our platform enables large‑scale model training, feature generation, and experimentation workflows that power production ML systems.

We’re looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ideal role for a recent PhD graduate who is excited to work on large‑scale systems and apply research‑driven thinking to real‑world machine learning problems.

You’ll help build and evolve the infrastructure that powers training data generation, ML workflows, and distributed model training. Working closely with experienced engineers and researchers, you’ll contribute to systems that ensure our ML pipelines are reliable, scalable, and efficient.

This role offers the opportunity to bridge research and production—translating advanced ideas into systems that operate at scale.

What you’ll be doing
  • Build and maintain data pipelines that generate training datasets for machine learning models and experimentation
  • Contribute to infrastructure that supports distributed training workflows (e.g., PyTorch, Ray)
  • Work with workflow orchestration tools (e.g., Airflow, Flyte, or similar) to support multi‑stage ML pipelines
  • Improve reproducibility and reliability through dataset validation, monitoring, and testing
  • Partner with ML engineers to support experimentation and model iteration
  • Help optimize performance and efficiency across data processing and training systems
  • Contribute to the evolution of our offline ML platform architecture as it scales
What we’re looking for
  • PhD in Computer Science, Machine Learning, Systems, or a related field
  • Strong foundation in machine learning systems, distributed systems, or large‑scale data processing (through research or projects)
  • Experience with Python and working with data‑intensive workloads
  • Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) and/or distributed systems (e.g., Ray, Spark)
  • Experience (academic or applied) with data pipelines, model training workflows, or large datasets
  • Strong problem‑solving skills and ability to translate research ideas into practical systems
  • Interest in building scalable, reliable infrastructure for machine learning
  • Nice to have
  • Experience with workflow orchestration systems (Airflow, Flyte, etc.)
  • Exposure to large‑scale data platforms (data lakes, warehouses, streaming systems)
  • Publications or research in ML systems, distributed systems, or related areas
Additional information
  • Relocation support is not available for this position
  • Work visa/immigration sponsorship is not available for this position
Benefits

At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well‑being and work‑life balance.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family‑care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity

Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Equal Opportunity Employment Statement

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Salary: $112,700 – $169,100 USD

#J-18808-Ljbffr