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Algorithms Jobs in Virginia (NOW HIRING)

APOGEE RESEARCH LLC

Algorithm Engineer

Arlington, VA · On-site

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 ...

APOGEE RESEARCH LLC

Algorithm Engineer

Arlington, VA · On-site

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 Virginia salary details

$64.7K

$131.5K

$187.7K

How much do algorithms jobs pay per year?

As of Jun 19, 2026, the average yearly pay for algorithms in Virginia is $131,468.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,464.00 and $155,605.00 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.
Algorithms jobs near you

Senior Digital Signals Processing and Algorithms Engineer

Quartermaster AI Inc

Arlington, VA • On-site

Full-time

Posted 25 days ago

Job description

About Us:
At Quartermaster AI, we believe the ocean should be a safe and sustainably managed resource for all. By leveraging cutting-edge AI and robotics, we unlock capabilities that were only recently impossible. Our distributed open-ocean systems enable every vessel to sense, compute, and communicate, enhancing maritime domain awareness for those who need it most.
Job Description:
Quartermaster AI is seeking an experienced RF/DSP Engineer to build the digital signal processing foundation of our radiofrequency sensing platform. This is a ground-floor role: our DSP pipeline is early-stage, and you will build the primary architecture and implementation of the algorithms that turn raw RF into maritime domain awareness and insights.
You will work closely with our RF hardware and embedded systems engineers to implement signal processing algorithms on edge compute hardware, and with ML/AI engineers to deliver conditioned, feature-rich data that feeds downstream detection and classification pipelines.
Key Responsibilities:
  • Design and implement the end-to-end DSP pipeline from raw IQ sample ingestion through spectral analysis, channelization, filtering, and feature extraction.
  • Implement and validate algorithms multi-sensor RF geolocation algorithms.
  • Build and maintain signal detection, framing, and classification primitives that serve as inputs to downstream ML pipelines.
  • Write optimized signal processing code in C/C++ targeting embedded processors and FPGA soft-core environments on edge hardware.
  • Experience porting DSP workloads to server-class or cloud compute environments.
  • Profile and optimize algorithms for latency, throughput, and power within tight edge compute budgets.
  • Define and implement data pipeline interfaces between the edge layer and cloud/server-side processing, including IQ data formatting, metadata schemas, and transport protocols.
  • Contribute to system-level design reviews, interface control documents, and technical roadmap planning.
Qualifications (Preferred):
  • Bachelor's or Master's degree in Electrical Engineering, Signal Processing, Applied Mathematics, or a closely related field.
  • 5+ years of hands-on DSP algorithm development for RF applications.
  • Strong proficiency in C/C++ for performance-critical, embedded or near-real-time signal processing.
  • Demonstrated experience implementing and validating geolocation algorithms.
  • Deep understanding of spectral analysis, digital filtering, synchronization, and coherent signal processing fundamentals.
  • Experience with software-defined radio platforms and IQ data processing workflows.
  • Proficiency in Python for algorithm prototyping, simulation, and test automation.
  • Active Secret clearance or demonstrated ability to obtain one.
Strongly Preferred
  • Familiarity with FPGA DSP pipelines (HLS, IP cores, or HDL-level signal processing integration).
  • Experience building DSP algorithms or pipelines for RF signals in the maritime domain.

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