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Evolutionary Computing Jobs (NOW HIRING)

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 ...

... evolutionary algorithms for resilient workflow optimization, and enhancing language models to ... distributed computing at the tactical edge. * Drive Deployment: Take technical ownership of ...

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 ...

... evolutionary algorithms for resilient workflow optimization, and enhancing language models to ... distributed computing at the tactical edge. * Drive Deployment: Take technical ownership of ...

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 ...

$48K - $65K/yr

... evolutionary health framework. There will be a specific emphasis on applying advanced ... Experience developing reproducible pipelines and working in high-performance computing environments.

... evolutionary algorithms for resilient workflow optimization, and enhancing language models to ... distributed computing at the tactical edge. * Drive Deployment: Take technical ownership of ...

Showing results 41-60

Evolutionary Computing information

See salary details

$11K

$57.4K

$95.5K

How much do evolutionary computing jobs pay per year?

As of Aug 7, 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?

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.
More about Evolutionary Computing jobs
What cities are hiring for Evolutionary Computing jobs? Cities with the most Evolutionary Computing job openings:
What states have the most Evolutionary Computing jobs? States with the most job openings for Evolutionary Computing jobs include:
Infographic showing various Evolutionary Computing job openings in the United States as of August 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $57,380 per year, or $27.6 per hour.

HMS - Postdoctoral Fellow in Biomedical Informatics (Farhat Lab)

Harvard University

Cambridge, MA • On-site

$54K - $73K/yr

Full-time

Re-posted 12 days ago


Harvard University rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

80th of 616 rated colleges and universities


Job description

Position
Details
Title
HMS - Postdoctoral Fellow in Biomedical Informatics (Farhat Lab)
School
Harvard Medical School
Department/Area
Biomedical Informatics
Position Description
The Farhat Lab in the Department of Biomedical Informatics
is seeking a highly motivated 'dry lab' postdoctoral research
fellow interested in pursuing innovative studies in the field of
infectious disease genomics and its translation to the clinic.
The research aims to enhance our understanding of the
biology of M. tuberculosis infections and identify molecular
markers for the diagnosis and surveillance. This position
provides outstanding opportunities for continued scientific
development and for contributing to pioneering research.
Specifically, the fellow will apply as well as develop code to
process and analyze mycobacterial molecular and phenotype
data. Including code that is production-ready for
dissemination to other laboratories and for diagnostic use,
and the management of large-scale data. They will join a
team of computational and experimental postdoctoral fellows,
graduate, and undergraduate students, and a
software and web engineer.
Salary and Benefits
This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines.
With this appointment, you are represented by the Harvard Academic Workers (HAW) - UAW for purposes of collective bargaining and matters affecting your compensation and working conditions.
Basic Qualifications
PhD in Bioinformatics, Systems Biology, Evolutionary Biology,
Microbiology, Epidemiology, Biostatistics, Applied Math, or
related field. Strong coding/computing skills. Familiarity or
strong interest in the analysis of pathogen
genomic/molecular data.
Additional Qualifications
Special Instructions
Required documents:
CV
Research summary of PhD work.
Cover letter describing your interest in the lab and
initial ideas for new research directions or projects you
could undertake in the lab.
A NOTE with the names and contact information for
three people who have agreed to serve as a reference.
Please submit application documents through the ARIeS portal.
Applications will be considered [on a rolling basis /or/ on
Month DD, YYYY]. Selected candidates will be invited for inperson
interviews involving a research presentation on past
work.
Expected Dates:
Duration: This is a one-year term position from the
date of hire, with the possibility of extension,
contingent upon work performance, business need,
and continued funding to support the position.
Salary and Benefits:
Basic Qualifications
Additional Qualifications and Skills
Physical Requirements
Working Conditions
Additional Information for Job Posting
This position is salaried and benefits eligible. Information
regarding postdoctoral fellow salary, which is determined by the
number of years post PhD, and benefits can be found at
https://postdoc.hms.harvard.edu/guidelines.
With this appointment, you are represented by the Harvard
Academic Workers (HAW) - UAW for purposes of collective
bargaining and matters affecting your compensation and
working conditions.
Harvard has an equal employment opportunity policy that
outlines our commitment to prohibiting discrimination on the
basis of race, sex, ethnicity, color, national origin, religion,
disability, or any other characteristic protected by law or
identified in the university's non-discrimination policy
Contact Information
Heather Viana
10 Shattuck St
Boston, MA 02115

Contact Email
heather_viana@hms.harvard.edu
Salary Range
Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, can be found at https://postdoc.hms.harvard.edu/guidelines
Minimum Number of References Required
Maximum Number of References Allowed
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