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Metaheuristics Jobs (NOW HIRING)

Experience with numerical optimization, mathematical programming, or solver development (e.g., LP/MIP/QP solvers, gradient-based methods, or metaheuristics). * Experience with performance profiling ...

Apply techniques such as reinforcement learning, neural networks, and metaheuristics to solve complex supply chain and inventory challenges. * Develop real-time decision systems for dynamic pricing ...

Apply techniques such as reinforcement learning, neural networks, and metaheuristics to solve complex supply chain and inventory challenges. * Develop real-time decision systems for dynamic pricing ...

Experience with OR-Tools, CP-SAT, ILP/MIP solvers, simulated annealing, genetic algorithms, Bayesian optimization or other metaheuristics. * Experience with graph/netlist data, geometric layouts ...

Experience with numerical optimization, mathematical programming, or solver development (e.g., LP/MIP/QP solvers, gradient-based methods, or metaheuristics). * Experience with performance profiling ...

Experience with OR-Tools, CP-SAT, ILP/MIP solvers, simulated annealing, genetic algorithms, Bayesian optimization or other metaheuristics. * Experience with graph/netlist data, geometric layouts ...

Showing results 21-40

Metaheuristics information

What is metaheuristics?

Metaheuristics are high-level problem-solving frameworks or strategies used to find approximate solutions to complex optimization problems. They are designed to explore large search spaces efficiently, often where traditional methods are too slow or cannot guarantee an exact answer. Examples include genetic algorithms, simulated annealing, and particle swarm optimization. Metaheuristics are widely applied in fields such as engineering, logistics, and artificial intelligence because of their flexibility and ability to tackle a variety of tough problems.

What are the key skills and qualifications needed to thrive as a metaheuristics researcher or specialist, and why are they important?

To thrive as a Metaheuristics Researcher or Specialist, you need a strong background in mathematics, computer science, and optimization algorithms, typically supported by an advanced degree in a related field. Familiarity with programming languages like Python or C++, optimization libraries, and simulation tools is essential, along with knowledge of metaheuristic frameworks. Analytical thinking, creativity, and effective problem-solving are vital soft skills that help in designing innovative algorithms and collaborating with interdisciplinary teams. These skills are crucial for developing efficient optimization solutions that address complex real-world problems across various industries.

What are some common challenges faced by professionals working in metaheuristics, and how can they be addressed?

Professionals in metaheuristics often encounter challenges such as balancing exploration and exploitation in algorithms, tuning multiple parameters, and ensuring reproducibility of results. Collaboration with domain experts is crucial, as real-world optimization problems can be complex and require specialized knowledge. Staying updated with the latest research, participating in code review sessions, and leveraging open-source frameworks can help address these challenges and lead to more robust solutions.

What is the difference between Metaheuristics vs Data Scientist?

AspectMetaheuristicsData Scientist
Required credentialsTypically a degree in computer science, operations research, or related fieldsDegree in statistics, computer science, or related fields
Work environmentResearch and development, optimization projects, algorithm designData analysis, modeling, machine learning, reporting
Industry usageOptimization problems across industries like logistics, manufacturingBusiness, finance, healthcare, tech companies
Search and comparison intentUnderstanding optimization techniques, algorithmsData analysis methods, insights, and modeling

Metaheuristics focus on solving complex optimization problems using heuristic algorithms, while Data Scientists analyze data to extract insights and build predictive models. Both roles require strong analytical skills and programming knowledge but serve different purposes within organizations.

What other helpful pages are available for Metaheuristics?

Other pages related to Metaheuristics:

Infographic showing various Metaheuristics job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 33% In-person, 34% Hybrid, and 33% Remote job distribution.

Software Engineer, Optimization Systems

Remote

$135K - $165K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

About Aalyria:
Aalyria is a leading technology company that supplies laser communications technology and temporospatial software-defined networking platforms to the aerospace industry. With technology acquired from Google, Aalyria is at the forefront of innovation in satellite and airborne mesh networks, as well as cislunar and deep-space communications. We are revolutionizing the orchestration and management of planetary mesh networks using any radio or optical spectrum, any orbit, and any hardware across land, sea, air, and space.
Role Overview:
We are seeking a highly motivated and experienced Software Engineer to join our core Spacetime engineering team. We value engineers who are adaptable, proactive, and eager to tackle new challenges as we advance our technology. The ideal candidate will bring a solid technical background and a proven track record in solving complex engineering challenges. As a software engineer on the Spacetime team, you will play an integral role in developing and optimizing systems critical to our business, with the flexibility to contribute to and take ownership of various projects as both you and the company grow.
You will be working alongside a team of seasoned engineers from top-tier tech companies, managing project priorities, timelines, and deliverables while designing, developing, testing, and maintaining core software.
Key Responsibilities:
  • Design and build high-performance optimization and scheduling systems for complex network-resource allocation problems.
  • Translate complex product and network requirements into effective computational models.
  • Improve solution quality, runtime, scalability, and explainability as problem complexity grows.
  • Evolve solver architecture to improve scalability, robustness, and reliability under increasing system complexity and load.

Required Qualifications:
  • Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
  • 5+ years experience designing and developing production software systems.
  • Strong fundamentals in algorithms, data structures, software design, testing, and debugging.
  • Experience building algorithmically complex, computationally intensive, or performance-sensitive software.
  • Proficiency in Golang, C/C++, Rust, or Java.

Preferred Qualifications:
  • Experience with numerical optimization, mathematical programming, or solver development (e.g., LP/MIP/QP solvers, gradient-based methods, or metaheuristics).
  • Experience with performance profiling, numerical accuracy, and debugging complex computational systems.
  • Experience with distributed or cloud-based compute systems.
  • Familiarity with telecommunications, networking, logistics, planning, or other adjacent domains.

What We Offer:
  • Innovative Environment: Work at a cutting-edge company shaping the future of aerospace communications.
  • Impactful Work: Directly contribute to critical national security programs and initiatives.
  • Growth Opportunities: Expand your career with opportunities for professional development and advancement.
  • Inclusive Culture: Be part of a collaborative, supportive, and inclusive workplace where your contributions matter.
  • Flexibility: Flexible working arrangements including hybrid remote/in-office schedules.
  • Compensation and Equity: Competitive salary, comprehensive benefits (401(k), dental, vision, health, life insurance), paid time off, and equity options.

ITAR/EAR Requirements:
This position involves access to export-controlled information. To comply with U.S. government export regulations, applicants must meet one of the following criteria:
(A) Qualify as a U.S. person, which includes:
  • U.S. citizen or national
  • U.S. lawful permanent resident (green card holder)
  • Refugee under 8 U.S.C. 1157
  • Asylee under 8 U.S.C. 1158

(B) Be eligible to access export-controlled information without requiring an export authorization.
(C) Be eligible and reasonably likely to obtain the necessary export authorization from the appropriate U.S. government agency.
The company reserves the right to decline pursuing an export licensing process for legitimate business-related reasons.
Equal Opportunity Employer Statement:
Aalyria is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Qualified applicants from all backgrounds are encouraged to apply.
The pay range for this role is:
135,000 - 165,000 USD per year (Remote (United States))
160,000 - 185,000 USD per year (Remote (San Francisco, CA))