ZipRecruiter

Log In

1

Core Systems Engineer Jobs (NOW HIRING)

Astrion

Midlevel Systems Engineer

Dahlgren, VA · On-site

$110K - $130K/yr

The successful candidate will apply core systems engineering principles, including requirements maturation, system-of-systems integration, and lifecycle validation, to ensure the warfighter has a ...

SAIC

Systems Engineer SME

Chantilly, VA

... of core systems engineering and analysis disciplines and processes Experience with lifecycle readiness from System Requirements Review through system decommissioning Experience with digital ...

INRIX

Cloud Systems Engineer

Bellevue, WA · Hybrid

$100K - $150K/yr

INRIX is looking for a Cloud Systems Engineer to help build and operate the core systems that keep the company secure, reliable, and productive. This role sits at the intersection of infrastructure ...

Solvarus

Senior SIGINT Systems Engineer

Chantilly, VA · On-site

$108K - $147.80K/yr

Proven core systems engineering process knowledge. * Proven communication skills. Desired Skills: * Experience with Digital Engineering Tools: Cameo, Jira and Confluence. * Experience with Defense ...

Solvarus

Senior SIGINT Systems Engineer

Chantilly, VA · On-site

$108K - $147.80K/yr

Proven core systems engineering process knowledge. * Proven communication skills. Desired Skills: * Experience with Digital Engineering Tools: Cameo, Jira and Confluence. * Experience with Defense ...

next page

Showing results 1-20

People also search for

All JobsCore Systems Engineer Jobs

Core Systems Engineer information

See salary details

$53.5K

$127.2K

$167K

How much do core systems engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for core systems engineer in the United States is $127,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $157,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Core Systems Engineer, and why are they important?

To thrive as a Core Systems Engineer, you need a strong background in computer science, systems architecture, and experience with server operating systems, typically supported by a relevant degree or certifications. Familiarity with virtualization platforms, scripting languages (like Python or Bash), and infrastructure management tools is essential. Analytical thinking, problem-solving ability, and effective communication skills help engineers troubleshoot issues and collaborate across teams. These competencies are crucial for ensuring the reliability, scalability, and security of core IT systems within an organization.

What are some typical challenges faced by a Core Systems Engineer, and how can they be addressed?

Core Systems Engineers often encounter challenges such as maintaining system reliability during updates, integrating new technologies with legacy infrastructure, and minimizing downtime during critical maintenance. These challenges can be addressed by following best practices in change management, collaborating closely with cross-functional IT and operations teams, and implementing robust monitoring and automation tools. Staying current with industry standards and actively participating in team knowledge-sharing sessions also helps in adapting to evolving system requirements and troubleshooting complex issues effectively.

What are Core Systems Engineers?

Core Systems Engineers are IT professionals responsible for designing, implementing, maintaining, and optimizing the foundational technology systems that support an organization’s critical operations. Their work often involves managing servers, networks, storage, and core infrastructure components to ensure reliability, performance, and security. They collaborate with other IT specialists to troubleshoot issues, upgrade systems, and integrate new technologies. Core Systems Engineers play a vital role in ensuring that the backbone of a company’s IT environment runs smoothly and efficiently.

What is the difference between Core Systems Engineer vs Network Engineer?

AspectCore Systems EngineerNetwork Engineer
CredentialsBachelor's in Computer Science or related, certifications like CompTIA Server+, Cisco CCNABachelor's in Computer Science, certifications like Cisco CCNA, Network+
Work EnvironmentData centers, enterprise IT environments, system administrationNetwork infrastructure, routing, switching, network security
Industry UsageIT, technology, enterprise solutionsTelecommunications, IT, networking service providers

The Core Systems Engineer focuses on designing, implementing, and maintaining core IT systems and infrastructure, while the Network Engineer specializes in designing and managing network hardware and connectivity. Both roles require similar certifications and often work in overlapping environments, but their primary responsibilities differ in scope and focus.

More about Core Systems Engineer jobs
What job categories do people searching Core Systems Engineer jobs look for? The top searched job categories for Core Systems Engineer jobs are:
Core Systems Engineer jobs near you
Infographic showing various Core Systems Engineer job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 93% Full Time, 1% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $127,215 per year, or $61.2 per hour.
Machine Learning Systems Engineer

Machine Learning Systems Engineer

Motional

Pittsburgh, PA • On-site, Remote

Other

Posted 19 days ago

Job description

Mission Summary:

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier models at scale, focusing obsessively on speed, cost, reliability, and throughput. You will work at the intersection of machine learning research and high-performance systems engineering. Your work will directly impact our ability to scale large-scale distributed model training and reduce the time-to-convergence for our next generation of models.

What you'll be doing:

  • Performance Profiling & Optimization: Utilize profiling tools (e.g., Nsight, PyTorch Profiler) to identify bottlenecks in data loading, gradient computation, and communication. Implement optimizations like kernel fusion, sharding, and tiling to improve step time.
  • Distributed Training: Optimize distributed training pipelines using frameworks such as PyTorch Distributed.
  • Kernel Development: Design and maintain high-performance GPU kernels in Triton or CUDA for state-of-the-art ML workloads.
  • Data Pipeline Engineering: Optimize robust data loading pipelines that maximize training throughput.

What we're looking for:

  • Education: Bachelor's, Master's degree, or PhD in Computer Science, Computer Engineering, or a related technical discipline.
  • Software Engineering: Strong proficiency in Python.
  • ML Frameworks: Extensive hands-on experience with PyTorch.
  • ML Knowledge: Experience optimizing machine learning model execution during training and inference, alongside a strong understanding of fundamental machine learning concepts, architectures, and processes.
  • Problem Solving: Exceptional analytical and problem-solving skills, with a bias for action and a data-driven approach to technical challenges.

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Apply