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Optimization Algorithms Jobs in Virginia (NOW HIRING)

SimIS Inc.

Senior Operations Research Analyst (N)

Norfolk, VA · On-site

$112K - $112K/yr

Conduct complex modeling, simulation, and quantitative analysis using tools and methodologies such as Monte Carlo simulation, discrete event simulation, optimization algorithms, predictive modeling ...

FRAMATOME

VIE - Digital Engineer F/H

Lynchburg, VA · On-site

Familiarity with optimization algorithms, constraint handling, and evolutionary computation. Ability to explain technical details clearly to non-experts and collaborate across disciplines. Preferred:

SimIS Inc.

Senior Operations Research Analyst (N)

Norfolk, VA · On-site

$112K - $112K/yr

Conduct complex modeling, simulation, and quantitative analysis using tools and methodologies such as Monte Carlo simulation, discrete event simulation, optimization algorithms, predictive modeling ...

Luck Stone

AI Engineer

Manakin Sabot, VA

$106K - $128K/yr

Ensure the scalability and performance of AI models by optimizing algorithms and utilizing cloud infrastructure. * Document and communicate the results, performance, and limitations of AI models to ...

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What is the difference between Optimization Algorithms vs Data Analysts?

AspectOptimization AlgorithmsData Analysts
Required CredentialsMathematics, Computer Science, Programming skillsStatistics, Data Analysis, Business Intelligence
Work EnvironmentResearch, software development, algorithm designData interpretation, reporting, business decision support
Employer & Industry UsageTech companies, finance, logistics, AI developmentMarketing, finance, healthcare, consulting

Optimization Algorithms focus on developing mathematical methods to improve processes and solve complex problems efficiently, often requiring programming and advanced math skills. Data Analysts interpret data to generate insights, supporting business decisions across various industries. While both roles work with data, Optimization Algorithms are more technical and algorithm-centric, whereas Data Analysts focus on data interpretation and reporting.

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Infographic showing various Optimization Algorithms job openings in Virginia as of May 2026, with employment types broken down into 91% Full Time, 8% Part Time, and 1% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution.

Software/Data Engineer - Geospatial Algorithms with Security Clearance

Aqua IT

Herndon, VA

$117K - $141K/yr

Other

Posted 17 days ago

Job description

Software Engineer – Geospatial Algorithms Responsibilities:
• Demonstrated familiarity with software engineering practices specifically applied to geospatial data processing and the development of spatial algorithms at scale
• Strong understanding of vector geospatial data products and their associated processing pipelines, including ingestion, transformation, and quality validation workflows
• Thorough understanding of modern software engineering principles and cloud-native environments, with the ability to design and deploy scalable, production-grade geospatial solutions Qualifications/Skills Required:
• TS/SCI with CI Poly required • Must be willing to work in SCIF daily or as needed
• 5+ years of professional software engineering experience with cloud-first development approach
• 5+ years of hands-on experience with AWS CDK for Infrastructure as Code
• 3+ years building complex, reusable CDK constructs and stacks
• Proficiency in async programming and performance optimization* 3+ years implementing multi-environment deployment strategies using CDK
• 5+ years of advanced Python development experience
• 4+ years of data engineering experience
• ETL/ELT pipeline development using AWS services
• Experience with data lakes, data warehousing, and analytics platforms
o Real-time data processing and streaming architectures
• 3+ years with AWS cloud-native services
o Advanced knowledge of Lambda, API Gateway, EventBridge, SQS, SNS
o Experience with data services: RDS, DynamoDB, Redshift, S3, Athena
o Container orchestration with ECS, Fargate, or EKS
• Strong problem-solving abilities with proven track record of resolving complex technical challenges Preferred Qualifications:
• 3+ years of software engineering experience with a focus on geospatial data processing and spatial algorithm development
• Hands-on experience working with vector geospatial data products and familiarity with common processing workflows, including ingestion, transformation, and quality validation
• Strong command of modern software engineering principles and cloud-native environments, with demonstrated ability to build and deploy scalable, production-grade geospatial solutions

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