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Manager Supercomputer Jobs in Washington, DC (NOW HIRING)

SAIC

Astrodynamics Analyst

Chantilly, VA · On-site

$120K - $200K/yr

... and supercomputing specialists. Expect regular opportunities to meet with and present findings to ... Managers will maintain open communications to ensure that you and the larger team both thrive.

Cymertek

HPC Software Engineer

Tysons, VA · On-site

... Supercomputing Specialist, Distributed Systems Engineer, HPC Application Developer, Cluster ... Understanding of job schedulers and resource managers (e.g., Slurm) * Strong technical ...

Cymertek

HPC Software Engineer

Chantilly, VA · On-site

... Supercomputing Specialist, Distributed Systems Engineer, HPC Application Developer, Cluster ... Understanding of job schedulers and resource managers (e.g., Slurm) * Strong technical ...

Cymertek

HPC Software Engineer

Reston, VA · On-site

... Supercomputing Specialist, Distributed Systems Engineer, HPC Application Developer, Cluster ... Understanding of job schedulers and resource managers (e.g., Slurm) * Strong technical ...

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Showing results 21-40

All JobsSupercomputer JobsManager Supercomputer JobsManager Supercomputer Jobs in Washington, DC

Manager Supercomputer information

What is the difference between Manager Supercomputer vs Supercomputing Systems Engineer?

AspectManager SupercomputerSupercomputing Systems Engineer
Required CredentialsBachelor's or master's in computer science, engineering, or related field; management experienceBachelor's or master's in computer science, computer engineering, or related field; technical certifications
Work EnvironmentOversees supercomputing facilities, manages teams, strategic planningDesigns, develops, and maintains supercomputing systems, works hands-on with hardware/software
Employer & Industry UsageResearch labs, government agencies, large tech companiesResearch institutions, high-performance computing centers, tech firms

The Manager Supercomputer primarily oversees supercomputing operations and manages teams, focusing on strategic and administrative tasks. In contrast, the Supercomputing Systems Engineer is more technically involved, designing and maintaining supercomputing systems. Both roles require strong technical backgrounds, but their responsibilities differ in scope and focus.

What are popular job titles related to Manager Supercomputer jobs in Washington, DC?

For Manager Supercomputer jobs in Washington, DC, the most frequently searched job titles are:

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Manager Supercomputer jobs near you
Infographic showing various Manager Supercomputer job openings in Washington, DC as of August 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Artificial Intelligence/Machine Learning Engineer (AI/ML)

SAIC

Chantilly, VA • On-site, Remote

$100K - $200K/yr

Full-time

Retirement

Posted 19 days ago

SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 80 frontline employees who took The Breakroom Quiz

88th of 226 rated it services

Job description

Job ID: 2615646

Location: Chantilly, VA, US

Date Posted: 2026-08-13

Category: Engineering and Sciences

Subcategory: Modeling/Sim Engr

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: TS.SCI

Clearance Level Must Be Able to Obtain: TS/SCI with Poly

Potential for Remote Work: ORA_ON_SITE


Description

SAIC is seeking an AI/ML Engineer to join our team conducting a wide variety of analyses in support of Government satellite programs in Earth orbits. Areas of work may include:

  • Recognizing different types of satellites based on observations of them using optical and radar sensors
  • Scheduling space surveillance sensors to collaboratively find, recognize and track maneuvering satellites
  • Deciding what activities satellites should undertake

Satellite designers and operations planners will leverage your analyses to inform critical decisions. As part of an agile team including experts in astrodynamics, sensors and AI/ML you will collaboratively simulate operations concepts at-scale with support from our cloud computing and supercomputing specialists. You can expect regular opportunities to meet with and optionally present findings to local senior government customers.

  • Use programming languages such as Python, C++, or others to leverage existing analysis tools and develop new ones
  • Conduct independent trade studies and technical assessments
  • Review and validate algorithms and results provided by external teams
  • Develop and optionally present actionable technical briefings

Salary range: $100,000 – $200,000, based on qualifications listed below, plus company 401(k) match and discounted employee stock purchase plan

Flexible schedule: On-site core collaboration hours from 10 am to 3 pm, options to work nine or eight days out of every two weeks

Stability: Our team supports a fully-funded prime contract with the government.  Additionally, our analysts routinely support other prime contracts as-necessary.  As a large company with a major presence in Northern Virginia, SAIC offers a broad array of work opportunities for employees locally as well as nationally

Growth and career progression: You will have access to mentoring by experts in AI/ML and many other fields. Senior staff will have opportunities to serve as principals and team leaders.  Managers will maintain open communications to ensure that you thrive

Detailed AI/ML job description:

  • Conduct Exploratory Data Analysis (EDA) to identify patterns for feature engineering
  • Design, develop, and evaluate machine learning algorithms, including supervised, unsupervised, and reinforcement learning
  • Build, train, and tune predictive models using state-of-the-art frameworks and tools
  • Collaborate with cross-functional teams to identify challenges, define problems, and translate them into actionable AI/ML solutions
  • Implement and optimize algorithms for tasks such as anomaly detection, prediction, classification, optimization, clustering, and natural language processing
  • Deploy machine learning models into production environments and establish pipelines for scalability and monitoring
  • Analyze model performance and identify opportunities for improvement by leveraging testing strategies and tuning hyperparameters

Qualifications

Required:

  • Education degree: Computer Science, Data Science, Applied Math, or a related technical field
  • Education and minimum professional experience for start of salary range: Bachelor’s plus two years, Master’s plus zero years, or PhD plus zero years
  • Experience: Astrodynamics
  • Programming: Python, C++, MATLAB, or similar
  • Clearance: Minimum of TS/SCI, should have current or be able to pass polygraph test

Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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