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Senior Algorithm Engineer Jobs in Colorado (NOW HIRING)

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Senior Algorithm Engineer information

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$62.6K

$133.1K

$193K

How much do senior algorithm engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for senior algorithm engineer in Colorado is $133,077.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,900.00 and $150,900.00 per year, depending on experience, location, and employer.

What does a senior algorithm engineer do?

A Senior Algorithm Engineer is responsible for designing, developing, and optimizing complex algorithms that solve technical problems or enhance product performance. They often work with large datasets, machine learning models, or mathematical techniques to create efficient solutions. In addition to coding, they may collaborate with cross-functional teams, review the work of junior engineers, and help set the technical direction for algorithm development projects. Their expertise ensures that products and systems run efficiently and accurately.

What are the key skills and qualifications needed to thrive as a senior algorithm engineer, and why are they important?

To thrive as a Senior Algorithm Engineer, you need advanced proficiency in mathematics, computer science, and algorithm design, usually supported by a relevant degree and extensive experience in the field. Expertise with programming languages such as Python or C++, proficiency with machine learning libraries, and familiarity with version control systems like Git are commonly required. Strong problem-solving skills, attention to detail, and the ability to communicate complex ideas clearly help set top candidates apart. These skills are crucial for developing robust, efficient solutions and collaborating effectively on challenging technical projects.

What are some common challenges faced by senior algorithm engineers when deploying algorithms into production environments?

Senior Algorithm Engineers often encounter challenges such as ensuring that algorithms are both scalable and efficient when integrated into real-time systems. Balancing model accuracy with computational resource constraints is a frequent task, as well as addressing data inconsistencies and managing version control for iterative algorithm updates. Collaboration with software engineers and data engineers is essential to ensure smooth deployment, monitor performance, and quickly resolve any production issues. Staying updated with the latest frameworks and best practices also helps in overcoming these challenges.

What is the difference between Senior Algorithm Engineer vs Data Scientist?

AspectSenior Algorithm EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, EE, or related; strong math and programming skillsBachelor's or Master's in CS, Statistics, or related; strong analytical and programming skills
Work EnvironmentDevelops algorithms for software, hardware, or embedded systems in tech companiesAnalyzes data to extract insights, often in tech, finance, or healthcare sectors
Industry UsageCommon in AI, robotics, and software developmentPrevalent in analytics, machine learning, and business intelligence

While both roles require strong programming and analytical skills, Senior Algorithm Engineers focus on designing and optimizing algorithms for technical systems, whereas Data Scientists analyze data to inform business decisions. The roles often overlap in AI and machine learning projects but serve different primary functions within organizations.

What are the most commonly searched types of Algorithm Engineer jobs in Colorado?

The most popular types of Algorithm Engineer jobs in Colorado are:

What cities in Colorado are hiring for Senior Algorithm Engineer jobs?

Cities in Colorado with the most Senior Algorithm Engineer job openings:

Infographic showing various Senior Algorithm Engineer job openings in Colorado as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $133,077 per year, or $64 per hour.

Senior Numerical Algorithm Software Engineer

Boulder, CO • On-site

SciTec
Guided Missile and Space Vehicle Manufacturing • 51 - 200 employees

$128K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago


Key responsibilities

  • Lead the research, development, and maturation of advanced numerical algorithms for radar signal and data exploitation.

  • Design, implement, and optimize high-performance radar tracking algorithms in Python and C++.

  • Architect and develop end-to-end radar processing pipelines, from raw I/Q ingest through feature extraction, tracking, and deployment.


Job description

SciTec, a wholly owned subsidiary of Firefly Aerospace, is a dynamic non-traditional defense contractor that delivers advanced technologies in support of U.S. National Security and Defense. For the past forty-five plus years, we have supported Department of Defense customers by developing innovative remote sensing algorithms, tools, and techniques to deliver world-class data exploitation capabilities supporting missile defense; intelligence, surveillance, & reconnaissance; space domain awareness; and aircraft survivability missions.

Important Notice: SciTec exclusively works on U.S. government contracts that require U.S. citizenship for all employees. SciTec cannot sponsor or assume sponsorship of employee work visas of any type. Further, U.S. citizenship is a requirement to obtain and keep a security clearance. Applicants that do not meet these requirements will not be considered.

SciTec has immediate opportunities for talented software and algorithm developers to support our radar modernization programs, which focus on ultra‑low‑latency signal processing, data fusion, and advanced tracking algorithms for upgraded ground‑based radar systems. Ideal candidates will be comfortable working across multiple programming languages in a fast‑paced, collaborative environment composed of scientists, engineers, and developers. You will rapidly prototype advanced radar algorithms and help transition them into optimized C++ implementations running on Linux within government frameworks. Your work will directly contribute to modernizing legacy radar systems with digital architectures, scalable processing pipelines, and mission‑ready performance.

Responsibilities

  • Lead the research, development, and maturation of advanced numerical algorithms for radar signal and data exploitation, including detection, tracking, estimation, clutter suppression, and processing for modernized radar architectures.
  • Design, implement, and optimize high‑performance radar tracking algorithms in Python and C++, with emphasis on scalability, latency reduction, and robustness for operational radar missions.
  • Develop and tune Kalman filtering, tracking, and data exploitation algorithms in Python and C++
  • Develop and optimize Resource Management algorithms based on mission requirements
  • Architect and develop end‑to‑end radar processing pipelines, from raw I/Q ingest through DSP chains, feature extraction, tracking, and production deployment in mission environments.
  • Advance radar modeling, simulation, and algorithm‑evaluation toolchains, including reusable frameworks that support rapid prototyping, validation, and integration of new radar capabilities.
  • Define and execute quantitative radar‑performance assessments including detection metrics, tracking accuracy, false‑alarm characterization, sensitivity studies, and validation using real radar data.
  • Collaborate cross‑functionally with software engineers, system architects, RF engineers, and mission stakeholders to integrate algorithms into operational radar systems and ensure mission alignment.
  • Provide technical leadership within Agile development teams, mentor junior engineers, drive radar‑focused best practices, and contribute to shared DSP and algorithm codebases.
  • Support proposal efforts, technical roadmaps, and customer engagements by clearly articulating radar algorithmic approaches, performance advantages, and modernization benefits.
  • Ensure compliance with mission assurance, cybersecurity, and software‑quality standards relevant to DoD radar programs.
  • Other duties as assigned.

Requirements

  • Bachelor’s or Master’s degree in Applied Mathematics, Physics, Electrical Engineering, Computer Science, or related technical field
  • 8+ years of experience developing numerical algorithms for radar signal processing or related sensor‑processing applications
  • Demonstrated expertise in developing and implementing algorithms in Python and C++
  • Strong foundation in numerical methods, linear algebra, probability/statistics, and optimization techniques
  • Experience working with real radar data (e.g., I/Q samples, pulse‑compressed data, tracking data, or radar simulations)
  • Proven ability to evaluate algorithm performance, including error analysis, validation, and benchmarking
  • Experience working in Linux-based development environments and modern software development practices (version control, testing, CI/CD)
  • Ability to work effectively in Agile or iterative development environments
  • Strong written and verbal communication skills, including ability to convey complex technical concepts to diverse stakeholders
  • U.S. Citizenship with ability to obtain and maintain a DoD security clearance (active clearance preferred)

Candidates who have any of the following skills will be preferred

  • PhD in Applied Mathematics, Physics, Electrical Engineering, or related technical field
  • Experience with advanced radar DSP techniques (e.g., CFAR, MTI/MTD, beamforming, calibration, Doppler processing, tracking filters, estimation algorithms, inverse problems)
  • Familiarity with machine‑learning methods applied to radar data (e.g., classification, anomaly detection, deep learning‑based radar feature extraction)
  • Experience optimizing radar algorithms for performance (parallel computing, GPU acceleration, vectorization, memory optimization)
  • Knowledge of DoD radar mission systems, radar phenomenology, or ground‑/air‑based radar architectures
  • Experience transitioning radar algorithms from prototype to production in operational radar environments
  • Familiarity with containerization and orchestration tools (Docker, Kubernetes)
  • Experience with radar modeling and simulation environments supporting system development
  • Prior experience leading technical efforts or mentoring junior engineers
  • Active DoD security clearance

*Resumes, Cover Letters, and Applications which are generated by AI will not be considered for employment

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Benefits

SciTec offers a highly competitive salary and benefits package, including:

  • 4% Safe Harbor 401(k) match
  • 100% company paid HSA Medical insurance, with a choice of 2 buy-up options
  • 80% company paid Dental insurance
  • 100% company paid Vision insurance
  • 100% company paid Life insurance
  • 100% company paid Long-term Disability insurance
  • 100% company paid Hospital Indemnity insurance
  • Voluntary Accident and Critical Illness insurance
  • Short-term Disability insurance
  • Annual Profit-Sharing Plan
  • Discretionary Performance Bonus
  • Paid Parental Leave
  • Generous Paid Time Off, including Holiday, Vacation, and Sick Pay
  • Flexible Work Hours

The pay range for this position is $156,000 - $193,000 / year. SciTec considers several factors when extending an offer of employment, including but not limited to the role and associated responsibilities, a candidate's work experience, education/training, and key skills. This is not a guarantee of compensation.

SciTec is proud to be an Equal Opportunity employer. VETS/Disabled.


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About SciTec

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

1979