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Physics Informed Machine Learning Jobs in Colorado

... informed decision-making? We are seeking a talented Data Scientist to join our team and play a ... SIMILAR CAREER TITLES Data Analyst, Machine Learning Engineer, Data Engineer, Business Intelligence ...

Senior Numerical Algorithm Software Engineer

Boulder, CO ยท On-site

$128K - $170K/yr

Advance modeling, simulation, and machine learning toolchains, including development of reusable ... Bachelor's or Master's degree in Applied Mathematics, Physics, Electrical Engineering, Computer ...

Senior Numerical Algorithm Software Engineer

Boulder, CO ยท On-site

$128K - $170K/yr

Advance modeling, simulation, and machine learning toolchains, including development of reusable ... Bachelor's or Master's degree in Applied Mathematics, Physics, Electrical Engineering, Computer ...

... Machine Learning (ML) applications. Our software engineers work closely with our researchers and ... Candidates should possess strong math and physics knowledge to enable developing advanced AI/ML ...

... physics, and experience with programming languages (python preferred). Essential Duties The researcher will perform molecular dynamics simulations and create machine learning models to extract ...

Senior Algorithm Engineer

Westminster, CO ยท On-site +1

$124K - $165K/yr

Research, prototype, and deploy innovative solutions leveraging machine learning and computer ... Bachelors degree in Computer Science, Computer Engineering, Applied Mathematics, Physics, Remote ...

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Physics Informed Machine Learning information

What are the key skills and qualifications needed to thrive in the Physics Informed Machine Learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are the typical challenges faced by professionals working in Physics Informed Machine Learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What is a Physics Informed Machine Learning job?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What are popular job titles related to Physics Informed Machine Learning jobs in Colorado? For Physics Informed Machine Learning jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Physics Informed Machine Learning jobs? Cities in Colorado with the most Physics Informed Machine Learning job openings:
Infographic showing various Physics Informed Machine Learning job openings in Colorado as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Staff / Sr Staff Numerical Algorithm Software Engineer

Staff / Sr Staff Numerical Algorithm Software Engineer

SciTec

Boulder, CO โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago


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 & algorithm developers and engineers to support programs focusing on low-latency data processing, fusion, and tracking algorithms for exploitation of remote sensing systems. Our ideal candidate will work well in multiple software languages as part of a rapid pace, collaborative, small-team environment consisting of Scientists, Engineers, and Developers and be able to prototype and develop advanced algorithms leading to eventual integration in C++ on Linux operating systems as part of government frameworks.

Responsibilities

  • Lead the research, development, and maturation of advanced numerical algorithms for remote sensing data exploitation across multi-modal sensor systems (e.g., EO/IR, SAR, RF)
  • Design, implement, and optimize high-performance algorithms in Python and C++, with a focus on scalability, efficiency, and operational robustness in mission environments
  • Architect and develop end-to-end signal processing, image processing, and data exploitation pipelines from prototype through production deployment
  • Advance modeling, simulation, and machine learning toolchains, including development of reusable frameworks and infrastructure to support algorithm evaluation and integration
  • Define and execute quantitative performance assessments of algorithms and sensor systems, including error characterization, sensitivity analysis, and validation against real-world data
  • Collaborate cross-functionally with software engineers, system architects, and mission stakeholders to integrate algorithms into operational systems and ensure mission alignment
  • Provide technical leadership within Agile development teams, including mentoring junior engineers, driving best practices, and contributing to shared codebases and tools
  • Support proposal efforts, technical roadmaps, and customer engagements by articulating algorithmic approaches and differentiators
  • Ensure compliance with mission assurance, security, and software quality standards applicable to DoD environments
  • Other duties as assigned

Requirements

  • Bachelorโ€™s or Masterโ€™s degree in Applied Mathematics, Physics, Electrical Engineering, Computer Science, or related technical field
  • 2+ years of experience developing numerical algorithms for signal processing, image processing, or sensor data exploitation
  • 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-world sensor data (e.g., EO/IR, SAR, RF, or multi-modal systems)
  • 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 field
  • Experience with advanced signal/image processing techniques (e.g., detection, tracking, estimation, inverse problems, or computer vision)
  • Familiarity with machine learning frameworks and integration of ML models into operational pipelines
  • Experience optimizing algorithms for performance (e.g., parallel computing, GPU acceleration, memory optimization)
  • Knowledge of DoD or Intelligence Community mission systems, especially related to remote sensing or space-based sensors
  • Experience transitioning algorithms from research/prototype to production/operational environments
  • Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes)
  • Experience with modeling and simulation environments supporting sensor 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 $102,000 - $157,000 / 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.


SciTec logo

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