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Applied Math Jobs in Irvine, CA (NOW HIRING)

... Applied Medical operates. Qualifications: This position requires the following skills and attributes: * Bachelor's degree in an Engineering or Science, Technology, Engineering, and Mathematics (STEM ...

... Applied Medical operates. Qualifications: This position requires the following skills and attributes: * Bachelor's degree in an Engineering or Science, Technology, Engineering, and Mathematics (STEM ...

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Applied Math information

See Irvine, CA salary details

$24.2K

$63.2K

$101.4K

How much do applied math jobs pay per year?

As of Aug 7, 2026, the average yearly pay for applied math in Irvine, CA is $63,155.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,300.00 and $75,100.00 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 Irvine, CA? For Applied Math jobs in Irvine, CA, the most frequently searched job titles are:
What job categories do people searching Applied Math jobs in Irvine, CA look for? The top searched job categories for Applied Math jobs in Irvine, CA are:
What cities near Irvine, CA are hiring for Applied Math jobs? Cities near Irvine, CA with the most Applied Math job openings:
Infographic showing various Applied Math job openings in Irvine, CA as of August 2026, with employment types broken down into 75% Full Time, 22% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $63,155 per year, or $30.4 per hour.

Tracking Software Engineer, Space

Anduril Industries

Costa Mesa, CA • On-site

Full-time

Re-posted 18 days ago


Anduril rating

9.1

Company rating: 9.1 out of 10

Anduril

Based on 17 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Manufacturers average

Based on 75,035 frontline employees who took The Breakroom Quiz


Job description

Job Summary:
Anduril Industries is a defense technology company aiming to enhance military capabilities with advanced technology. The Tracking Software Engineer will develop 2D and 3D tracking algorithms for space situational awareness, collaborating closely with software teams to implement these algorithms into operational systems.
Responsibilities:
• Perform systems engineering and algorithm development tasks supporting space and missile defense tracking missions
• Design and implement advanced object tracking and state estimation algorithms, including track initiation, maintenance, correlation, and termination
• Develop and evaluate multi-target tracking and multi-sensor fusion approaches for EO/IR, RF, or hybrid sensor architectures
• Implement advanced data association techniques including JPDA (Joint Probabilistic Data Association), MHT (Multiple Hypothesis Tracking), nearest neighbor, and track-to-track fusion methods
• Apply and refine data association techniques, such as: nearest neighbor and probabilistic association; Joint Probabilistic Data Association (JPDA); Multiple Hypothesis Tracking (MHT); and track-to-track fusion methods
• Build physics-based models and conduct modeling and simulation including Monte Carlo analysis, recorded sensor playback, and hardware-in-the-loop testing to validate tracking performance
• Conduct performance analysis, trade studies, and simulation-based assessments of tracking robustness under challenging conditions (maneuvering targets, clutter, countermeasures, degraded sensing)
• Collaborate with software engineers to transition tracking algorithms from MATLAB/Python prototypes to production C/C++ code optimized for real-time operational systems
• Support the systems engineering lifecycle including requirements decomposition, trade studies on tracking approaches, verification and validation planning, and design reviews (SRR, PDR, CDR)
• Prepare technical documentation and briefings for design reviews (SRR, PDR, CDR) and customer engagements
Qualifications:
Required:
• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Aerospace Engineering, Applied Mathematics, Physics, Computer Science, or related technical field
• 5+ years of experience designing, implementing, and testing multi-target tracking algorithms for aerospace, defense, or autonomous systems
• Strong theoretical and practical experience with state estimation techniques, including Kalman Filters (EKF, UKF), multi-target tracking concepts, and Interacting Multiple Model (IMM) filters
• Experience developing tracking algorithms that handle track initiation, maintenance, correlation, and termination in operational systems
• Proficiency in algorithm development using MATLAB and/or Python with demonstrated experience transitioning algorithms to C++ for production deployment
• Experience with modeling, simulation, and testing workflows including Monte Carlo analysis, sensor data playback, or hardware-in-the-loop environments
• Ability to work collaboratively with software engineers, systems engineers, and test teams to integrate tracking algorithms into operational systems
Preferred:
• Advanced degree (MS or PhD) in Engineering, Physics, Applied Mathematics, or related technical field
• Experience in one or more of the following domains: missile defense or space systems; EO/IR or RF sensors; kill vehicles, interceptors, or countermeasures
• Experience handling challenging tracking scenarios including track fragmentation, ghost tracks, sensor outages, and high-clutter environments
• Familiarity with real-time system constraints, embedded systems, or edge compute optimization
• Demonstrated experience working within the systems engineering design cycle, including requirements decomposition and traceability, algorithm design and trade studies, verification and validation (V&V;), and documentation and design reviews (SRR, PDR, CDR)
• Experience with MBSE tools (Cameo, Rhapsody, DOORS)
Company:
Anduril Industries is a defense technology company that specializes in developing advanced autonomous systems to enhance national security. Founded in 2017, the company is headquartered in Costa Mesa, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

Working at Anduril

About Anduril, in their own words

From Anduril

As the world enters an era of strategic competition, Anduril delivers cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the warfighter in months, not years.


What Anduril employees say

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Anduril Industries logo

About Anduril Industries

Sourced by ZipRecruiter

Anduril Industries is a trailblazer in the technology industry based in Costa Mesa, CA, US. Founded in 2017 by Palmer Luckey, the creator of Oculus VR, the company focuses on developing innovative technology to equip and empower those in the defense sector. Its primary products include cutting-edge autonomous systems and AI software that assist in combating threats to national and global security. The mission of Anduril Industries is to integrate technology and defense by building transformative, scalable solutions that ensure a safer world.

Industry

Guided missile and space vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Costa Mesa, CA, US

Year founded

2017

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