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Evolutionary Computing Jobs (NOW HIRING)

Vivum AI

Computational Neuroethologist

Bloomington, IN · On-site

ViVum Computing is a pioneering company in the field of Evolutionary AI (E-AI), aiming to revolutionize how artificial intelligence powers autonomous systems and robotics. They are seeking a highly ...

Nvidia Corporation

Senior Compiler Engineer - AI

Austin, TX · On-site

$121K - $160K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Deep familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling ...

Nvidia

Senior Compiler Engineer - AI

Santa Clara, CA · On-site

$143K - $189K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Deep familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling ...

Nvidia

Senior Compiler Engineer - AI

Austin, TX · On-site

$121K - $160K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Deep familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling ...

Nvidia

Senior Compiler Engineer - AI

Redmond, WA

$137K - $180K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Deep familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling ...

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Evolutionary Computing information

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$11K

$57.4K

$95.5K

How much do evolutionary computing jobs pay per year?

As of Aug 31, 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 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 the key skills and qualifications needed to thrive as an evolutionary computing specialist?

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 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 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.

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Evolutionary Computing jobs near you
Infographic showing various Evolutionary Computing job openings in the United States as of August 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $57,380 per year, or $27.6 per hour.

Undergraduate Assistant

Albuquerque, NM • On-site

University of New Mexico

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

130th of 627 rated colleges and universities

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Learn more about University of New Mexicoexternal

Full-time

Posted 18 days ago

Job description

The Undergraduate Assistant will support a computational research project investigating eco-evolutionary dynamics in microbial communities exposed to rapid environmental change. The student will be trained to work in a Unix/Linux computing environment and to execute parallel simulation workflows. Primary responsibilities will include running and monitoring computational simulations, organizing and managing simulation output, collecting and summarizing data, and assisting with quantitative analyses of ecological and evolutionary outcomes across environmental scenarios.

The position will provide hands-on training in computational biology, evolutionary modeling, reproducible research practices, and data analysis.

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