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Senior Numerical Algorithm Software Engineer

  • Boulder, CO, United States

$156,000 to $193,000 USD / year

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Job details

Pay
$156,000 to $193,000 USD / year
Experience
8+ years of experience developing numerical algorithms for radar signal processing or related sensor‑processing applications
Posting language
English
Posted

Original job description

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.

More about this job

Skills

  • Research
  • Estimating
  • Python
  • C++
  • Leadership
  • Agile development
  • Regulatory compliance
  • Cybersecurity
  • Electrical engineering
  • Computer science
  • Signal processing
  • Statistics
  • Linux
  • Software development
  • CI/CD
  • Agile
  • Iterative development
  • Communication skills
  • Machine learning
  • Deep learning
  • Docker
  • Kubernetes
  • Coaching

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