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Applied Math Jobs in Denver, CO (NOW HIRING)

Cymertek Corporation

Cybersecurity Architect

Aurora, CO · On-site

... Applied Mathematics, Artificial Intelligence, Risk Management, etc. • Expertise in network security design • Strong knowledge of identity and access management (IAM) • Proficiency in designing ...

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All JobsApplied Math JobsApplied Math Jobs in Denver, CO

Applied Math information

See Denver, CO salary details

$23.2K

$60.6K

$97.3K

How much do applied math jobs pay per year?

As of Aug 7, 2026, the average yearly pay for applied math in Denver, CO is $60,560.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,300.00 and $72,000.00 per year, depending on experience, location, and employer.

Is applied math a useful degree?

Applied math is a useful degree for careers in data analysis, finance, engineering, and research, as it develops skills in problem-solving, modeling, and quantitative analysis. Graduates often find employment in industries that rely on mathematical and computational tools, and the degree can lead to roles requiring programming and statistical knowledge.

What jobs can you get with applied math?

Applied math graduates can pursue careers such as data analyst, operations researcher, financial analyst, actuary, or software developer. These roles often require strong analytical skills, proficiency in programming languages like Python or R, and knowledge of statistical and mathematical modeling. Many positions are found in finance, technology, healthcare, and government sectors.

What is an applied mathematician?

Applied mathematicians are professionals who use mathematical theories, techniques, and computational methods to solve practical problems in fields such as engineering, science, business, and industry. They often develop models to analyze real-world phenomena, optimize processes, and predict outcomes. Applied mathematicians may work in diverse areas like data analysis, operations research, finance, and computer science, collaborating with experts from other disciplines to address complex challenges.

Is applied math in demand?

Applied math professionals are in high demand across industries such as finance, data analysis, engineering, and technology due to their skills in modeling, problem-solving, and quantitative analysis. Employers seek candidates with strong analytical abilities and proficiency in tools like MATLAB, Python, or R, making applied math a valuable and often well-compensated field.

What is the difference between Applied Math vs Data Analyst?

AspectApplied MathData Analyst
Required CredentialsBachelor's or higher in Mathematics, Applied Math, or related fieldsBachelor's or higher in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, academia, finance, engineeringBusiness, finance, healthcare, marketing
Industry UsageModeling, simulations, algorithm developmentData interpretation, reporting, visualization
Common Search/ComparisonApplied Math vs Data Analyst

Applied Math and Data Analysts often share skills in statistical analysis and problem-solving. However, Applied Math focuses more on developing mathematical models and algorithms, while Data Analysts primarily interpret and visualize data to inform business decisions. Both roles are vital across industries, but their daily tasks and focus areas differ significantly.

What careers use applied math?

Applied math is used in careers such as data analyst, financial analyst, operations researcher, actuary, engineer, and computer scientist. These roles involve using mathematical models, statistical techniques, and computational tools to solve real-world problems across industries like finance, technology, healthcare, and engineering.

What are some typical projects or problems an applied mathematician may work on within a multidisciplinary team?

Applied mathematicians often collaborate with experts from fields such as engineering, computer science, and finance to tackle real-world challenges. For example, they might develop algorithms for optimizing logistics and supply chains, create mathematical models to predict disease spread in healthcare, or analyze large data sets to inform business strategies. This collaboration typically involves regular meetings, data sharing, and iterative problem solving, making strong communication skills and adaptability essential for success in the role.

What are the key skills and qualifications needed to thrive as an applied mathematician, and why are they important?

To thrive as an Applied Mathematician, you need strong mathematical modeling, analytical, and problem-solving skills, usually supported by a degree in mathematics, applied mathematics, or a related field. Familiarity with programming languages (such as Python, MATLAB, or R), statistical software, and computational tools is typically required. Excellent communication, teamwork, and critical thinking abilities help translate complex mathematical concepts for diverse audiences and collaborative projects. These skills are vital for developing solutions to real-world problems across industries, ensuring accuracy, innovation, and practical impact.
What are popular job titles related to Applied Math jobs in Denver, CO? For Applied Math jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Applied Math jobs in Denver, CO look for? The top searched job categories for Applied Math jobs in Denver, CO are:
Applied Math jobs near you
Infographic showing various Applied Math job openings in Denver, CO as of August 2026, with employment types broken down into 71% Full Time, 24% Part Time, and 5% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $60,560 per year, or $29.1 per hour.

Senior GNC Engineer - Navigation & Estimation

Approach Venture LLC

Denver, CO • On-site

$120K - $160K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 16 days ago

Job description

Senior GNC Engineer - Develop Autonomous Navigation & Sensor Fusion for Next-Generation Spacecraft
Denver, Colorado | On-site
Opportunity Summary
Join a venture-backed aerospace company developing advanced spacecraft platforms designed to enable the next generation of autonomous in-space operations. As the company progresses from prototype development toward flight-qualified systems, this role will lead the design and implementation of the navigation algorithms that allow spacecraft to accurately determine their position, orientation, and motion while operating in dynamic orbital environments. As a Senior GNC Engineer, you will own the development of flight-critical navigation and state estimation software supporting autonomous rendezvous, proximity operations, docking, and long-term orbital navigation. Working alongside controls, perception, avionics, embedded software, and systems engineering teams, you'll transform complex sensor data into reliable vehicle state information while helping define the navigation architecture for future spacecraft. This is a highly technical role with significant ownership, offering the opportunity to influence both flight software and overall vehicle performance from concept through on-orbit operations.
About Us
We are an early-stage aerospace company building advanced spacecraft technologies for future commercial and government space missions. Our multidisciplinary engineering team develops tightly integrated hardware, software, and autonomous systems that solve complex challenges in spacecraft mobility, guidance, and in-space operations. Engineers work across disciplines, take ownership of critical systems, and play a direct role in moving products from early design through flight.
Job Duties
  • Lead the development of spacecraft navigation and state estimation algorithms for autonomous flight operations.
  • Design, implement, tune, and validate Extended Kalman Filters, Unscented Kalman Filters, and other probabilistic estimation techniques.
  • Develop relative navigation algorithms supporting rendezvous, docking, proximity operations, and formation flight.
  • Design onboard sensor fusion architectures integrating multiple navigation sensors into robust state estimates.
  • Develop measurement models and estimation techniques for optical, inertial, and ranging sensors.
  • Define navigation system accuracy requirements and allocate error budgets across sensing and estimation systems.
  • Develop orbit determination, orbital propagation, and absolute navigation algorithms supporting spacecraft operations.
  • Analyze navigation performance using simulation, hardware testing, and flight data.
  • Support hardware-in-the-loop and software-in-the-loop testing campaigns.
  • Develop analysis tools, visualization utilities, and validation software using C++ and Python.
  • Investigate navigation anomalies and improve estimator robustness throughout system development and flight operations.
  • Collaborate closely with controls, perception, avionics, embedded software, and systems engineering teams to integrate navigation capabilities into the overall flight system.
  • Participate in design reviews, technical trade studies, and system architecture decisions.

Qualifications
  • Bachelor's degree in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Physics, Applied Mathematics, Computer Science, or a related technical discipline.
  • 5+ years of professional experience developing guidance, navigation, or state estimation systems.
  • Strong software development experience using modern C++ and Python.
  • Experience designing and implementing Kalman Filters or similar sequential estimation techniques.
  • Experience developing sensor fusion algorithms for autonomous systems.
  • Strong understanding of orbital mechanics, rigid-body dynamics, coordinate transformations, and feedback control systems.
  • Experience developing algorithms that have been validated through simulation, hardware testing, or operational deployment.
  • Familiarity with software development best practices, version control, and collaborative engineering workflows.

Preferred Experience
  • Master's or PhD in Aerospace Engineering, Robotics, Computer Science, Physics, Applied Mathematics, or a related discipline.
  • Experience with spacecraft rendezvous, proximity operations, docking, or formation flying.
  • Computer vision, optical navigation, or image-based state estimation.
  • Orbit determination and high-fidelity orbital propagation.
  • Sensor modeling, calibration, and measurement processing.
  • IMUs, cameras, LiDAR, radar, magnetometers, star trackers, or other navigation sensors.
  • Statistical analysis, covariance analysis, estimator tuning, and navigation performance validation.
  • Embedded flight software development.
  • Autonomous robotics, UAVs, spacecraft, or other mission-critical autonomous systems.
  • Experience supporting flight operations or post-launch system performance analysis.

Why Join Us
  • Own the navigation architecture for a next-generation spacecraft platform.
  • Develop flight-critical autonomy from concept through operational deployment.
  • Work alongside a highly collaborative multidisciplinary engineering team.
  • Significant technical ownership with direct influence on product direction.
  • Competitive salary and meaningful early-stage equity opportunity.
  • Comprehensive medical, dental, and vision coverage.
  • Life and disability insurance.
  • Paid parental leave.
  • Three weeks of paid vacation plus company holidays.

Compensation Details
$120,000 - $160,000

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