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Evolutionary Computing Jobs (NOW HIRING)

MosaixSoft, Inc.

Senior Software Test Engineer

Los Altos, CA · On-site

$130K - $169K/yr

Company Description Computing is undergoing a monumental transition - to the cloud. This has led ... the evolutionary pace of cloud operations for online businesses the world over. MosaixSoft is ...

ACI Infotech

Enterprise Architect

Atlanta, GA · On-site

$66.25 - $85.50/hr

... computing, large-scale system design, security, data aggregation, user interface design; the list ... Evolutionary, Enterprise Fowler,... • Multi Cloud certified - Azure/AWS/GCP Engineering ...

MosaixSoft, Inc.

Senior Software Test Engineer

Los Altos, CA · On-site

$130K - $169K/yr

Company Description Computing is undergoing a monumental transition - to the cloud. This has led ... the evolutionary pace of cloud operations for online businesses the world over. MosaixSoft is ...

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

$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.

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Evolutionary Computing information

See salary details

$11K

$57.4K

$95.5K

How much do evolutionary computing jobs pay per year?

As of Jul 17, 2026, the average yearly pay for evolutionary computing in the United States is $57,380.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,500.00 and $69,500.00 per year, depending on experience, location, and employer.

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.
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Evolutionary Computing jobs near you
Infographic showing various Evolutionary Computing job openings in the United States as of July 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $57,380 per year, or $27.6 per hour.

Postdoctoral Fellow, Biology

Indiana University Academic Positions

Bloomington, IN • On-site

Other

Re-posted 9 days ago

Job description

Position Details
Title Postdoctoral Fellow, Biology Appointment Status Non-Tenure Track Department IU Bloomington Biology Location Bloomington Position Summary
The department of Biology is a large, unified department with strong undergraduate degrees, nationally-ranked graduate programs, and world-class research spanning the breadth of biological questions and experimental systems - from ecosystems to microbiology and developmental biology, from evolution to cell biology, from molecular biology to systems biology, bioinformatics, and genomics. It is always an exciting time for Biology - enormous advances in global genome analysis coupled with unprecedented developments in interdisciplinary research have made the 21st century the Century of Biology. For more information about the department, you can find it here:About: Department of Biology: Indiana University Bloomington.
Indiana University is an equal opportunity employer and provider of ADA services and prohibits discrimination in hiring. See Indiana University Notice of Non-Discrimination here which includes contact information.

The Department of Biology at Indiana University Bloomington invites applications for a post-doctoral research position under the supervision of Dr. Chris Smith Home | Chris Smith. The lab- in the Evolution, Ecology, and Behavior section-investigates machine learning approaches for spatial population genetics. Our research integrates custom neural architecture design, simulations, and publicly available genomic datasets to develop new inference methods. The Postdoctoral Associate will conduct research related to creating or testing deep learning models for genomics, exploring new techniques related to spatial simulations, or other topics discussed with the PI.
Basic Qualifications
Core job duties include: (1) Designing, implementing, and overseeing research projects focused on methods development for understanding genetic variation within and between populations, (2) building computational pipelines for conducting simulation experiments and analyzing genomic sequencing data, (3) writing scientific publications and presenting findings at conferences.

Other general responsibilities include: Actively participating in lab meetings and discussions.
Education and experience required: Ph.D. in computational biology, bioinformatics, computer science, or a related field. Demonstrated experience leading computational research projects is required for the proposed research. Expertise in population or evolutionary genetics is preferred but not required.
Required skills:
Experience with Python
Experience with high performance computing
Development of reproducible analysis pipelines
Strong time management and organizational skills
Ability to work effectively as a team
Excellent written and oral communication
Dependability, initiative, and professionalism
Preferred skills:
Experience with population genetics.
Experience with deep learning libraries (e.g., PyTorch, TensorFlow) and development.

Working conditions/demands: The role requires the ability to move about within an office environment.
Department Contact for Questions
To apply: Please submit (1) a cover letter describing your research and educational background, career goals, why you are interested in the position, and the date you are available to start; (2) a current CV; (3) the names and contact information for two references. This can be submitted at the following link: https://indiana.peopleadmin.com/postings/32511

For questions about the position contact Chris Smith (chriscs@iu.edu).
Timing and compensation: Review of applicants will begin May 1 and continue until the position is filled. The ideal start is June 1, although the starting date can be adjusted to suit the candidate. The initial appointment is for one year, with potential reappointment for additional years contingent upon satisfactory performance and funding availability. Salary will be commensurate with experience and full benefits are included.
Additional Qualifications Salary and Rank Special Instructions For Best Consideration Date 05/01/2026 Expected Start Date 06/01/2026 Posting Number IU-101520-2026

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