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Algorithms Jobs in Washington (NOW HIRING)

Algorithm Engineer

Rockville, MD · On-site

$120K - $140K/yr

Develop and continuously improve algorithms for WiFi sensing applications * Design and conduct experiments to evaluate and refine new algorithms and methodologies, working in coordination with ...

Research, design and prototype algorithms for secure processing of data on distributed systems, using technologies like homomorphic encryption (HE) and secure multiparty computation (SMPC). * Work ...

Research, design and prototype algorithms for secure processing of data on distributed systems, using technologies like homomorphic encryption (HE) and secure multiparty computation (SMPC). * Work ...

Qualified candidates should have a mix of academic theory and real-world applications of relevant algorithms, combined with a track record of applying research techniques to real-world problems. This ...

Qualified candidates should have a mix of academic theory and real-world applications of relevant algorithms, combined with a track record of applying research techniques to real-world problems. This ...

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Algorithms information

See Washington salary details

$71.4K

$145.1K

$207.2K

How much do algorithms jobs pay per year?

As of Jun 19, 2026, the average yearly pay for algorithms in Washington is $145,140.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,639.00 and $171,786.00 per year, depending on experience, location, and employer.

What jobs use algorithms?

Algorithms are fundamental to many jobs in technology, data science, software engineering, and artificial intelligence. Professionals in these roles develop, analyze, and implement algorithms to solve problems, optimize processes, and create software solutions, often using programming languages like Python, Java, or C++. Knowledge of data structures, mathematical concepts, and coding skills are essential in these fields.

What is the job of an algorithm?

The job of an algorithm is to provide a step-by-step procedure for solving a specific problem or performing a task efficiently. In programming and data analysis, algorithms are used to process data, make decisions, and optimize outcomes, often requiring knowledge of coding languages and logical thinking.

What is the difference between Algorithms vs Data Analysts?

AspectAlgorithmsData Analysts
Required CredentialsDegree in Computer Science, Mathematics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; analytical skills
Work EnvironmentTech companies, research labs, software developmentBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed to develop models, optimize processes, and automate tasksUsed to interpret data, generate reports, and support decision-making

Algorithms focus on designing step-by-step procedures for problem-solving and are essential in software development and AI. Data Analysts interpret and visualize data to help organizations make informed decisions. While both roles work with data, algorithms are more technical and programming-intensive, whereas data analysts focus on data interpretation and reporting.

What are the key skills and qualifications needed to thrive as an Algorithms Engineer, and why are they important?

To thrive as an Algorithms Engineer, you need a strong background in computer science, mathematics, and data structures, typically supported by a relevant degree. Familiarity with programming languages like Python or C++, version control systems, and algorithm analysis tools is essential. Strong analytical thinking, problem-solving ability, and effective communication skills set exceptional candidates apart. These competencies are crucial for designing efficient solutions, optimizing performance, and collaborating effectively within technical teams.

What are algorithms in the context of computer science jobs?

Algorithms are step-by-step procedures or sets of rules designed to solve specific problems or perform tasks, commonly used in computer science for data processing, calculation, and automated reasoning. Professionals who work with algorithms develop, analyze, and optimize these procedures to improve the efficiency and effectiveness of software and systems. Understanding algorithms is crucial for roles like software engineers, data scientists, and researchers, as it enables them to create solutions that are both correct and efficient.

What jobs pay 500,000 a year in the US?

In the field of algorithms, senior roles such as Principal Data Scientist, Lead Machine Learning Engineer, or Chief Data Officer can reach or exceed $500,000 annually, especially in large tech companies or finance firms. These positions typically require advanced skills in machine learning, data analysis, and programming, along with extensive experience and often a master's or PhD degree.

What are some common challenges faced by professionals working in algorithm development roles?

Professionals in algorithm development often encounter challenges such as balancing computational efficiency with accuracy, ensuring scalability for large datasets, and adapting algorithms to evolving requirements. Collaborating closely with data scientists, engineers, and product teams is essential to align solutions with real-world constraints and business goals. Staying current with the latest research and technologies is also important, as the field evolves rapidly and new methods frequently emerge.

What jobs pay 10,000 a month without a degree?

In the field of algorithms and related tech roles, high-paying jobs such as software developers, data scientists, and machine learning engineers can earn $10,000 or more per month, often without a formal degree if they have strong coding skills, experience, and certifications. Freelance consulting, contract work, or positions in tech startups may also offer such salaries based on expertise and project scope.
What cities in Washington are hiring for Algorithms jobs? Cities in Washington with the most Algorithms job openings:
Infographic showing various Algorithms job openings in Washington as of June 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 74% Physical, 2% Hybrid, and 24% Remote job distribution, with an average salary of $145,140 per year, or $69.8 per hour.

Quantum Algorithms Scientist - US

Phasecraft

Washington, DC • On-site

$120K - $175K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 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 £13m 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 the commercialisation of high-value breakthroughs.
We are looking to hire a Quantum Algorithms Scientist to join our team, in a role focusing on implementing and executing experiments on cutting-edge quantum computing hardware. The ideal candidate will have experience in implementing quantum algorithms on real quantum hardware, in addition to expertise in the theory of quantum algorithms for gate-model quantum computers or related topics in quantum computing theory, quantum information theory, or related areas of quantum theory. Their work will contribute to Phasecraft's goal of developing quantum algorithms for near-term quantum computers and may encompass topics such as algorithm optimization and design, quantum error-correction, resource analysis, error mitigation, and hardware benchmarking. The role will involve both theoretical research and practical implementation, leveraging access to quantum hardware platforms.
This is a unique opportunity to contribute to cutting-edge quantum research while applying quantum algorithms on real devices, helping to push the boundaries of what is possible with near-term quantum computing.
Job Description
  • Develop and implement quantum algorithms on state-of-the-art quantum hardware platforms, optimizing performance and resource usage.
  • Undertake both theoretical and applied research on near-term quantum computing algorithms, applications, and enabling technologies.
  • Contribute to research on error mitigation, circuit optimization, and benchmarking techniques for quantum hardware.
  • Help to author publications, presentations, patent applications, and similar research outputs.
  • Work collaboratively in a small international team made up of full-time staff and affiliated PhD students.
  • Contribute to the broader growth and success of Phasecraft through research, development, and technical leadership.

Requirements
Essential Criteria
  • Expertise in quantum algorithms and quantum information theory with a strong foundation in quantum computing.
  • PhD (or soon to receive one) in quantum information, quantum computation, computer science, physics, or a closely related field.
  • Extensive experience in implementing quantum algorithms on quantum hardware, or clear evidence of ability in this area.
  • Strong understanding of quantum circuit design, compilation, and optimization techniques.
  • Ability to work independently on research projects while contributing to a collaborative team environment.
  • Strong publication track record in relevant disciplines.
  • Proficiency in quantum programming languages such as Qiskit, Cirq, PennyLane, or similar.
  • Flexibility to work across different aspects of quantum software, algorithms, and underpinning theory.

Desirable Criteria
  • Experience in developing and benchmarking error mitigation techniques for quantum algorithms.
  • Knowledge of classical simulation methods for quantum circuits and hybrid quantum-classical approaches.
  • Strong software development skills, including experience with Python, C++, or other programming languages used in quantum computing.
  • Experience working with industrial quantum hardware providers or in industry-academic collaborations.
  • Enthusiasm for learning, research, and translating theoretical quantum computing advances into practical applications.
  • Excellent communication skills, with the ability to present complex concepts to diverse audiences.

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.