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Evolutionary Computing Jobs in Virginia (NOW HIRING)

Peraton

Senior Principal Architect

Reston, VA

$176K - $282K/yr

Develop forward-looking architectures with evolutionary pathways for emerging technologies (AI/ML, zero trust, PQC, AIOps, edge computing, etc). * Lead technical solutioning sessions with capture ...

Peraton

Senior Principal Architect

Reston, VA · On-site

$176K - $282K/yr

Develop forward-looking architectures with evolutionary pathways for emerging technologies (AI/ML, zero trust, PQC, AIOps, edge computing, etc). * Lead technical solutioning sessions with capture ...

Peraton

Senior Principal Architect

Reston, VA

$176K - $282K/yr

Develop forward-looking architectures with evolutionary pathways for emerging technologies (AI/ML, zero trust, PQC, AIOps, edge computing, etc). * Lead technical solutioning sessions with capture ...

FRAMATOME

VIE - Digital Engineer F/H

Lynchburg, VA

... computing in a HPC environment. Proficiency in Python and ML libraries such as scikit-learn ... Familiarity with optimization algorithms, constraint handling, and evolutionary computation.

Peraton

Senior Principal Architect

Reston, VA · On-site

$176K - $282K/yr

Develop forward-looking architectures with evolutionary pathways for emerging technologies (AI/ML, zero trust, PQC, AIOps, edge computing, etc). * Lead technical solutioning sessions with capture ...

Peraton

Senior Principal Architect

Reston, VA · On-site

$176K - $282K/yr

Develop forward-looking architectures with evolutionary pathways for emerging technologies (AI/ML, zero trust, PQC, AIOps, edge computing, etc). * Lead technical solutioning sessions with capture ...

Peraton

Senior Principal Architect

Reston, VA

$176K - $282K/yr

Develop forward-looking architectures with evolutionary pathways for emerging technologies (AI/ML, zero trust, PQC, AIOps, edge computing, etc). * Lead technical solutioning sessions with capture ...

All JobsEvolutionary Computing JobsEvolutionary Computing Jobs in Virginia

Evolutionary Computing information

What are some common challenges faced when implementing evolutionary computing algorithms in real-world projects?

One of the main challenges in applying evolutionary computing algorithms is balancing computational cost with solution quality, as these algorithms can be resource-intensive and require careful parameter tuning. Additionally, translating theoretical models into scalable, real-world applications often involves customizing operators and fitness functions to suit specific domains. Collaboration with domain experts is crucial to accurately define objectives and constraints, and ongoing communication with software engineers ensures efficient integration into existing systems.

What are the key skills and qualifications needed to thrive as an Evolutionary Computing Specialist, and why are they important?

To thrive as an Evolutionary Computing Specialist, you need a solid background in computer science, mathematics, and algorithm design, often supported by an advanced degree in a related field. Familiarity with programming languages (such as Python, C++, or Java), machine learning frameworks, and optimization libraries is typically required. Strong analytical thinking, problem-solving abilities, and creativity are crucial soft skills that help in developing innovative solutions. These skills enable specialists to design and implement effective evolutionary algorithms that solve complex computational problems across various domains.

What is the difference between Evolutionary Computing vs Data Scientist?

AspectEvolutionary ComputingData Scientist
Required CredentialsTypically a degree in computer science, AI, or related fields; certifications in AI or machine learningDegree in statistics, computer science, or related fields; certifications in data analysis or machine learning
Work EnvironmentResearch labs, AI development teams, academiaBusiness environments, tech companies, consulting firms
Industry UsageOptimization problems, evolutionary algorithms researchData analysis, predictive modeling, business insights
Common Search/ComparisonYesYes

While both roles involve advanced computing techniques, Evolutionary Computing focuses on algorithms inspired by natural selection for optimization, whereas Data Scientists analyze data to extract insights and build predictive models. They often collaborate but serve different primary functions within tech and research industries.

What is evolutionary computing?

Evolutionary computing is a branch of artificial intelligence that uses algorithms inspired by the process of natural selection to solve complex optimization and search problems. These algorithms, such as genetic algorithms, evolve solutions over time by mimicking biological mechanisms like mutation, crossover, and selection. Evolutionary computing is used in various fields, including engineering, economics, and robotics, to find solutions that might be difficult to obtain through traditional methods. It is especially useful for problems where the search space is vast and not easily navigable by conventional algorithms.
What are popular job titles related to Evolutionary Computing jobs in Virginia? For Evolutionary Computing jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Evolutionary Computing jobs in Virginia look for? The top searched job categories for Evolutionary Computing jobs in Virginia are:
What cities in Virginia are hiring for Evolutionary Computing jobs? Cities in Virginia with the most Evolutionary Computing job openings:
Evolutionary Computing jobs near you

Engineer II, Software Development

Framatome North America

Lynchburg, VA • On-site

$88K - $95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Job description

Why This Role Is Critical
As the need for nuclear energy grows, the future couldn't be brighter. Join our vital mission to create lasting solutions for our planet's greatest challenges. In this role, you are ready to shape the future of clean energy and make a long-lasting global impact. With us, anticipate engaging and challenging projects that deliver innovative solutions and value-added technologies helping power more than 38 million North American homes.
What You'll Do Day-To-Day
  • Working with other Engineering teams to define new or revised software requirements.
  • Program new or revise existing tools that (1) simulate the physical phenomena occurring in a nuclear plant or (2) automate data analysis and visualization workflows for engineers. Perform testing to verify and validate software performance in accordance with quality assurance procedures.
  • Provide input High Performance Computing (HPC) system hardware needs to support engineering activities.
  • Optimize software runtime performance
  • Solve a range of straightforward problems, analyze solutions and assess each using standard procedures.
  • Ensure compliance with government regulations, organization, industry and customer engineering standards with support of senior staff.

Preferred Skills/Knowledge:
  • Development and deployment of scientific, engineering, or data analysis software applications, preferably for High Performance Computing (HPC) Linux systems.
  • Knowledge of and able to apply software engineering best practices with respect to understanding requirements, design, version control, testing, debugging, troubleshooting, and documentation.
  • Working knowledge of the following programming languages: Python, C, C++, and/or FORTRAN.
  • Experience with design and development of graphical user interfaces (GUI), preferably with C++, Qt, or Python.
  • Familiarity with optimization algorithms, constraint handling, and evolutionary computation.
  • Ability to explain technical details clearly to non-experts and collaborate across disciplines.
  • Understanding of supervised, unsupervised, and reinforcement learning methods.
  • Display positive and effective team interaction.

What You'll Bring
  • Bachelor's Degree in Engineering.
    • Dependent on the position, degrees in Physics, Engineering Technology and Engineering Science may also be accepted.
  • Minimum of 2 years of related experience.
  • Knowledge of related engineering standards, techniques and criteria.
  • Advanced level of specific software tools and programming skills.

Total Rewards Package
Total Rewards Package
  • Salary: $88,000 - $95,000 and may also include annual incentives and performance bonuses. The base salary range is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, competencies and work location.
  • Health & Wellness: Multiple medical plan options, dental & vision coverage, life insurance, long- and short-term disability, and optional supplemental plans (critical illness, accident, hospital indemnity, dependent life).
  • Retirement: 401(k) with employer match.
  • Paid Time Off: Up to 3 weeks of vacation, 8 sick days, and 13 paid holidays annually.
  • Extra Perks: Lifestyle spending account, employer paid mental health support, education reimbursement, professional development opportunities, adoption assistance, parental leave, and employee assistance programs.

About Framatome
Framatome has been shaping the future of nuclear energy in the U.S. for more than 60 years. Framatome Inc. is headquartered in Lynchburg, Virginia, with more than 2,400+ employees across North America supporting nearly every nuclear plant in the nation.
From our facilities in Virginia, Washington, North Carolina, Pennsylvania, Massachusetts and beyond, we deliver outage services, advanced nuclear fuel technologies, and next-gen reactor innovations that keep the lights on.
At Framatome, you will join a global team committed to creating reliable, carbon-free energy. Here, you can:
  • Solve complex nuclear challenges that directly impact the climate.
  • Build your career through technical fellowships, leadership roles, and global opportunities.
  • Do your best work in a culture that values safety, innovation, and well-being.

Framatome is an Equal Opportunity / Affirmative Action Employer. All qualified applicants receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
Offers are contingent on background check and drug screen (where applicable). Positions may involve access to information subject to U.S. export control regulations; applicants must meet eligibility requirements (see DOE 810 Appendix A).

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