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Remote Modeling Simulation Engineer Jobs in Denver, CO

Senior Numerical Algorithm Software Engineer

Boulder, CO ยท On-site +1

$128K - $170K/yr

Advance modeling, simulation, and machine learning toolchains, including development of reusable ... Knowledge of DoD or Intelligence Community mission systems, especially related to remote sensing or ...

Senior Numerical Algorithm Software Engineer

Boulder, CO ยท On-site +1

$127K - $167K/yr

Advance modeling, simulation, and machine learning toolchains, including development of reusable ... Knowledge of DoD or Intelligence Community mission systems, especially related to remote sensing or ...

Associate Software Engineer

Boulder, CO ยท On-site +1

$81K - $98K/yr

... remote sensing algorithms, tools, and techniques to deliver world-class data exploitation ... and modeling & simulation of complex systems. Our ideal candidate will have extensive experience ...

Embedded Software Engineer Staff

Boulder, CO ยท On-site +1

$138K - $182K/yr

... engineer to support ongoing programs and internal research and development efforts focused ... on remote sensing data processing, exploitation applications, and simulations. In this position ...

Embedded Software Engineer Sr

Boulder, CO ยท On-site +1

$130K - $171K/yr

... engineer to support ongoing programs and internal research and development efforts focused ... on remote sensing data processing, exploitation applications, and simulations. In this position ...

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Remote Modeling Simulation Engineer information

See Denver, CO salary details

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$127K

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How much do remote modeling simulation engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for remote modeling simulation engineer in Denver, CO is $127,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $150,800.00 per year, depending on experience, location, and employer.

What is the difference between Remote Modeling Simulation Engineer vs Remote Data Analyst?

AspectRemote Modeling Simulation EngineerRemote Data Analyst
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; experience with simulation softwareBachelor's or higher in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentEngineering teams, simulation labs, software development settingsBusiness, finance, healthcare, or tech companies analyzing data sets
Industry UsageManufacturing, aerospace, automotive, defenseFinance, marketing, healthcare, technology
Common Search/ComparisonYesYes

The Remote Modeling Simulation Engineer focuses on creating and running simulations to predict system behaviors, often in engineering or manufacturing contexts. In contrast, the Remote Data Analyst interprets data to inform business decisions across various industries. While both roles require analytical skills and technical knowledge, their tools, applications, and industry focus differ significantly.

How does a Remote Modeling Simulation Engineer typically collaborate with cross-functional teams despite working remotely?

Remote Modeling Simulation Engineers frequently work with multidisciplinary teams, including software developers, project managers, and subject matter experts. Collaboration is typically facilitated through virtual meetings, shared simulation platforms, and cloud-based project management tools. Regular communication and thorough documentation are essential to ensure alignment on project goals and simulation requirements. While remote work offers flexibility, it also requires proactive engagement to stay connected and effectively contribute to team-driven problem solving.

What are Remote Modeling Simulation Engineers?

Remote Modeling Simulation Engineers are professionals who use computer-based models and simulations to analyze, design, and optimize systems or products, often working from a location outside of a traditional office. They leverage specialized software to create virtual prototypes and run simulations, which helps in testing and improving designs without the need for physical experiments. These engineers collaborate with teams online, and their work is crucial in industries such as aerospace, automotive, energy, and manufacturing. Their remote setup allows companies to tap into a wider talent pool and offers professionals greater flexibility.

What are the key skills and qualifications needed to thrive as a Remote Modeling Simulation Engineer, and why are they important?

To thrive as a Remote Modeling Simulation Engineer, you need a solid background in engineering or computer science, strong mathematical modeling skills, and experience with simulation methodologies. Familiarity with tools like MATLAB, Simulink, Python, and simulation software, along with relevant certifications such as Certified Systems Engineering Professional (CSEP), is often required. Exceptional problem-solving, self-motivation, and clear communication are crucial soft skills, especially when collaborating remotely with diverse teams. These skills ensure accurate model development, effective virtual teamwork, and the delivery of reliable simulation results for complex engineering challenges.
What are the most commonly searched types of Modeling Simulation Engineer jobs in Denver, CO? The most popular types of Modeling Simulation Engineer jobs in Denver, CO are:
What are popular job titles related to Remote Modeling Simulation Engineer jobs in Denver, CO? For Remote Modeling Simulation Engineer jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Remote Modeling Simulation Engineer jobs in Denver, CO look for? The top searched job categories for Remote Modeling Simulation Engineer jobs in Denver, CO are:
What cities near Denver, CO are hiring for Remote Modeling Simulation Engineer jobs? Cities near Denver, CO with the most Remote Modeling Simulation Engineer job openings:
Staff / Sr Staff Numerical Algorithm Software Engineer

Staff / Sr Staff Numerical Algorithm Software Engineer

SciTec

Boulder, CO โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday


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

  • Bachelor's or Master'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 $98,000 - $146,000 / 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