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Artificial Intelligence and Machine Learning (AI/ML) High Performance Computing (HPC) Systems Engineer Advisor

Peraton
Full Timemid
Fort Meade, Maryland, US$112k – $179kPosted March 5, 2026

Salary Context

This role offers $112k–$179k. The median for Mid-level lifecycle roles is $95k–$132k (based on 72 listings). 28% above median.

Job Description

Requirements

Active TS/SCI clearance with polygraph

  • Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.

Education & Experience (one of the following):

  • High School Diploma/GED and 14+ years of systems engineering experience OR
  • Bachelor’s degree in an accredited engineering or related discipline and 10+ years of systems engineering experience

OR

  • Master’s degree or PhD in an accredited engineering or related discipline and 8+ years of systems engineering experience.

Peraton is seeking an Artificial Intelligence and Machine Learning (AI/ML) knowledgeable Mid-Career Systems Engineer to support a mission-critical High Performance Computing (HPC) program of national importance. This cutting-edge program encompasses everything from HPC test planning and execution, to architecture design, prototyping, and vendor collaboration. Technical areas span commercial cloud technologies, HPC, and enterprise architecture directly supporting the success of U.S. national security objectives.

As a Systems Engineer, you will:

  • Provide engineering support across the full system lifecycle, including requirements elicitation, analysis, and allocation.
  • Conduct systems requirements reviews, develop concepts of operations, and establish interface standards.
  • Design and integrate complex hardware/software systems while performing technical and non-technical assessments.
  • Perform end-to-end flow analysis to ensure seamless integration of program capabilities.

Desired Skills to maximize success:

  • Cloud Architecture/ Cloud Engineer/ Platform Engineering (especially in AWS)
  • AI/ML system design and implementation
  • High-level understanding of the AI lifecycle (development, training, inference, monitoring)
  • Experience with ML pipeline development, model deployment, and DevOps/MLOps
  • Experience with Amazon SageMaker is a plus
  • Excellent communication and collaboration skills with a variety of stakeholder groups, ability to proactively engage with these groups to understand requirements and inform system architecture decisions
  • System security and networking (particularly the implementation of system security on classified systems)
  • Data engineering and data lifecycle management

Why Join Peraton?

We recognize the criticality of this mission and reward our team with enhanced benefits, including:

  • Heavily subsidized health coverage for employees and dependents.
  • 25 days of annual PTO, with a generous rollover cap.
  • Eligibility for an attractive annual bonus plan.

This is an opportunity to be part of a high-profile, tactically important program, where your contributions are directly recognized for their impact.

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