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Atmosphere Model Jobs in California (NOW HIRING)

Data Scientist, Sensors

San Jose, CA ยท On-site

$155K - $232K/yr

Analyze and model raw sensor and atmospheric data to build calibration, correction, and detection models, distinguishing true signal from environmental variability and instrument artifacts

New

... optics; atmospheric propagation of laser beams. * Advanced knowledge of and significant experience with complex analytical, numerical modeling and experiments to make recommendations and lead ...

... optics; atmospheric propagation of laser beams. * Advanced knowledge of and significant experience with complex analytical, numerical modeling and experiments to make recommendations and lead ...

... optics; atmospheric propagation of laser beams. * Advanced knowledge of and significant experience with complex analytical, numerical modeling and experiments to make recommendations and lead ...

Showing results 41-60

Atmosphere Model information

What is an atmosphere model?

An atmosphere model is a mathematical or computational representation of the Earth's atmosphere, used to simulate and predict atmospheric processes such as weather, climate, and air quality. These models use physics, chemistry, and data from observations to describe how air moves, how clouds form, and how energy is transferred within the atmosphere. Scientists and meteorologists rely on atmosphere models to forecast weather, study climate change, and assess environmental impacts. There are different types of models, ranging from simple to highly complex, depending on the purpose and scale of the study.

What are some common challenges faced by atmospheric modelers and how can they be addressed?

Atmospheric modelers often encounter challenges such as handling large datasets, integrating diverse sources of environmental data, and ensuring the accuracy of simulations. They must also stay current with evolving modeling software and computational techniques. Collaborating closely with meteorologists, climate scientists, and data analysts can help address these challenges by sharing expertise and refining models. Continuous professional development and participating in interdisciplinary research projects also support overcoming technical and scientific hurdles.

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

To thrive as an Atmospheric Modeler, you need a strong background in atmospheric science, mathematics, and computer programming, usually supported by a degree in meteorology, environmental science, or a related field. Familiarity with modeling software like WRF or CMAQ, programming languages such as Python or Fortran, and experience working with climate data sets are typically required. Analytical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and collaborating with multidisciplinary teams. These capabilities are vital for producing accurate atmospheric predictions and informing decisions related to weather forecasting, climate research, and environmental policy.

What is the difference between Atmosphere Model vs Atmospheric Scientist?

AspectAtmosphere ModelAtmospheric Scientist
CredentialsTypically requires a degree in atmospheric science, meteorology, or related fields; familiarity with modeling softwareRequires a degree in atmospheric science, meteorology, or related fields; often includes research experience
Work EnvironmentPrimarily involves working with computer models, simulations, and data analysis in research or government labsConducts fieldwork, data collection, and analysis; may work in labs, offices, or outdoors
Industry UsageUsed by climate research centers, weather agencies, and environmental organizations for forecasting and climate modelingEmployed by research institutions, government agencies, and universities for studying atmospheric phenomena

While an Atmosphere Model focuses on developing and running simulations of atmospheric processes, an Atmospheric Scientist conducts research, data collection, and analysis to understand weather and climate patterns. Both roles require similar educational backgrounds but differ in daily tasks and work environments.

What are popular job titles related to Atmosphere Model jobs in California? For Atmosphere Model jobs in California, the most frequently searched job titles are:
What job categories do people searching Atmosphere Model jobs in California look for? The top searched job categories for Atmosphere Model jobs in California are:
What cities in California are hiring for Atmosphere Model jobs? Cities in California with the most Atmosphere Model job openings:
Infographic showing various Atmosphere Model job openings in California as of August 2026, with employment types broken down into 40% Full Time, and 60% Part Time. Highlights an 100% In-person job distribution.

GNC Engineer, Modeling & Simulation

Mach Industries

Huntington Beach, CA โ€ข On-site

$130K - $220K/yr

Full-time

Medical, Life, Retirement

Re-posted 24 days ago


Job description

About Mach Industries
Founded in 2022, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition.
Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security.
The Role
Mach Industries is seeking a GNC Engineer, Modeling & Simulation to design, build, and maintain high-fidelity aircraft simulation environments in support of Guidance, Navigation, and Control (GNC) development. You will be responsible for realizing equations of motion in software, developing and validating aerodynamic and plant models, and creating the simulation infrastructure required for both software-in-the-loop (SITL) and hardware-in-the-loop (HITL) testing.
This role is ideal for an engineer who thrives at the intersection of physics-based modeling, software development, and systems integration. You'll collaborate closely with aerodynamicists, controls engineers, and hardware teams to ensure Mach's autonomous platforms are accurately modeled and rigorously tested before flight.
Key Responsibilities
  • Develop and maintain high-fidelity flight dynamics and vehicle simulation models.
  • Implement equations of motion in C++ and Python for real-time and offline simulation environments.
  • Collaborate with the aerodynamics team to incorporate aerodynamic models derived from CFD and wind tunnel testing.
  • Perform system identification and parameter estimation to generate accurate plant models.
  • Build and sustain simulation infrastructure supporting GNC verification and validation in SITL and HITL environments.
  • Develop test harnesses, logging frameworks, and automated validation tools for simulation assets.
  • Integrate with CI/CD pipelines to ensure continuous simulation regression testing and model integrity.
  • Document and maintain model assumptions, configurations, and validation results.

Required Qualifications
  • Bachelor's degree in Engineering, Physics, or Mathematics.
  • 3+ years of experience developing and deploying navigation or simulation systems.
  • Proficiency in C++ and Python, with strong understanding of software design for simulation environments.
  • Experience using modern software development tools such as Git and Jira.
  • Familiarity with CI/CD strategies and tools for code integration and automated testing.

Preferred Qualifications
  • Experience modeling fixed-wing aircraft dynamics and control systems.
  • Deep understanding of atmospheric flight kinematics and aerodynamics.
  • Familiarity with satellite constellation modeling or orbital mechanics.
  • Experience with radar seeker modeling and sensor integration.
  • Background in real-time systems or embedded simulation environments.

Disclosures
This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations (EAR) and the International Traffic in Arms Regulations (ITAR). Please note that any offer for employment may be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations without sponsorship for an export license.
Mach participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offers may vary based on (but not limited to) work experience, education and training, critical skills, and business considerations. Highly competitive equity grants are included in most offers and are considered part of Mach's total compensation package. Mach offers benefits such as health insurance, retirement plans, and opportunities for professional development.
Mach is an equal opportunity employer committed to creating a diverse and inclusive workplace. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws. If you'd like to defend the American way of life, please reach out!