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Optimization Algorithms Jobs (NOW HIRING)

Support research and development of new optimization algorithms and implementations when required to solve specific business problems * Develop necessary software for optimization and prediction ...

Support research and development of new optimization algorithms and implementations when required to solve specific business problems * Develop necessary software for optimization and prediction ...

Senior Optimization Engineer

Princeton, NJ · On-site

$109K - $150K/yr

You must have at least 5+ years of hands-on experience in using both built in optimization libraries and in writing your own custom optimization algorithms such as gradient descent, genetic ...

We are looking for an AI Optimization Engineer to lead and define our optimization capabilities ... algorithmic foundation, and drive delivery from design through production deployment. You will ...

Senior MIP Developer (Global Remote)

$55.75 - $73.75/hr

As a Senior MIP Developer at Gurobi Optimization, your primary responsibility will be to enhance and expand the optimization algorithms and APIs, which are the core value proposition of Gurobi ...

AI Algorithm Developer

Santa Clara, CA · On-site

$161K - $221K/yr

Implement algorithms with proper data structures, computational complexity awareness, and performance optimization Problem Solving & Innovation * Translate semiconductor manufacturing challenges into ...

AI Algorithm Developer

Santa Clara, CA · On-site

$161K - $221K/yr

Implement algorithms with proper data structures, computational complexity awareness, and performance optimization Problem Solving & Innovation * Translate semiconductor manufacturing challenges into ...

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Optimization Algorithms information

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How much do optimization algorithms jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for optimization algorithms in the United States is $59.65, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $73.56 per hour, depending on experience, location, and employer.

What is the difference between Optimization Algorithms vs Data Analysts?

AspectOptimization AlgorithmsData Analysts
Required CredentialsMathematics, Computer Science, Programming skillsStatistics, Data Analysis, Business Intelligence
Work EnvironmentResearch, software development, algorithm designData interpretation, reporting, business decision support
Employer & Industry UsageTech companies, finance, logistics, AI developmentMarketing, finance, healthcare, consulting

Optimization Algorithms focus on developing mathematical methods to improve processes and solve complex problems efficiently, often requiring programming and advanced math skills. Data Analysts interpret data to generate insights, supporting business decisions across various industries. While both roles work with data, Optimization Algorithms are more technical and algorithm-centric, whereas Data Analysts focus on data interpretation and reporting.

More about Optimization Algorithms jobs
What cities are hiring for Optimization Algorithms jobs? Cities with the most Optimization Algorithms job openings:
What states have the most Optimization Algorithms jobs? States with the most job openings for Optimization Algorithms jobs include:
Infographic showing various Optimization Algorithms job openings in the United States as of May 2026, with employment types broken down into 91% Full Time, 8% Part Time, and 1% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $124,067 per year, or $59.6 per hour.

Quantum Algorithms Scientist - Optimization

Phasecraft

Washington, DC

$120K - $175K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


Job description

Phasecraft is the quantum algorithms company. We are building the mathematical foundations for quantum computing applications that solve real-world problems. Founded in 2019 by Toby Cubitt, Ashley Montanaro and John Morton, we are based in London and Bristol in the UK and opened an office in Washington DC in 2024, led by Steve Flammia. In 2023 we completed a $17m Series A funding round led by leading Silicon Valley deep tech VC, Playground Global.

Phasecraft's unprecedented access to today's best quantum computers - through partnerships with Google, IBM, Quantinuum and QuEra - provides us with unique opportunities to develop foundational IP, inform the development of next-generation quantum hardware, and accelerate commercialization of high-value breakthroughs.

 We are looking to hire a Quantum Algorithms Scientist to join our team. The ideal candidate will have experience in the theory and/or implementation of optimization algorithms for gate-model quantum computers, or in classical optimization or constraint satisfaction algorithms; or otherwise strong evidence of potential to contribute to these areas. Their work will initially focus on these topics, though they will have the opportunity to grow a portfolio of research activity across the breadth of Phasecraft's interests. A background in quantum computing is not necessarily required, though in this case a successful candidate will have evidence of the ability to design and implement advanced algorithms for optimization and/or constraint satisfaction.

Job Description

  • Undertake theoretical and/or applied research and/or software development for near-term quantum computing applications, with an initial focus on quantum algorithms and software for combinatorial optimization and/or constraint satisfaction problems.
  • Help to author publications, presentations, patent applications and similar resulting from the research.
  • Work collaboratively in a small team made up of full-time staff and affiliated PhD students.
  • Work with stakeholders on collaborations applying quantum computing to optimization problems.
  • Other activities as required to support the growth and success of Phasecraft.

Requirements

Essential criteria:

  • Expertise in one or more of:
    o quantum information and/or computation theory
    o theory and implementation of classical algorithms for optimization or constraint satisfaction
    o quantum algorithm design and implementation
    o mathematical analysis of algorithms
  • Proven track record of working independently on research projects.
  • Deep expertise and an excellent publication track-record in relevant discipline.
  • Excellent written and verbal communication skills and the ability to disseminate research results to technical and non-technical audiences.
  • Flexibility to work across different aspects of quantum algorithms, and to work on other tasks required to support the growth and success of the company.
  • An interest in near-term quantum computing

Desirable criteria:

  • PhD (or soon to receive one) in quantum information, quantum computation theory, theoretical computer science, or closely related field.
  • Coding in quantum software development environments (e.g. Cirq, QuEST, Qiskit).
  • Experience of implementing algorithms on quantum hardware.
  • Strong publication track-record in relevant discipline.
  • Software development skills.
  • Enthusiasm for learning and novel research.

Benefits

  • The annual compensation range for this role is $120,000 - $175,000, depending on experience.
  • Health, Vision, Dental, Life Insurance.
  • 401(k) Plan with company matching.
  • Unlimited annual leave.