The company is a high-octane aerospace technology startup founded in 2019 and specializing in developing advanced Unmanned Aerial Systems (UAS) and microsensor technology for both government and civilian sectors. Currently seeking a highly skilled Senior Atmospheric Sensor Engineer to design, develop, and optimize advanced sensor systems for atmospheric and environmental monitoring.

The Company

• The company offers high-performance UAS, low-size, weight, and power (SWaP) sensor technology, and best-in-class AI video tools.
• The company, which is run by former Special Forces Operators, has both a patriotic culture and diverse team with a history of success and focus on bringing industry-leading products to the warrior community.
• Seeking a Senior Atmospheric Sensor Engineer who will be focusing heavily on micro atmospheric wind sensors, algorithm development, fluid dynamics, and environmental tuning and testing, ensuring high-accuracy data collection and real-world performance.

The Compensation

• $145K - $180K Competitive Annual Base Salary Plus Stock Option Package and Bonus Plan Commensurate with Experience

The Location

• Fully onsite position based in the Camarillo, CA Headquarters

The Benefits

• Comprehensive Blue Shield of California Medical Coverage (2 PPO & 1 PPO/Health Savings Account Options)
• Preventative Care Services Covered at No Cost
• Blue Shield of California & Guardian Dental PPO Plan Options
• Blue Shield of California & Guardian Vision Plan Options
• Voluntary Life & AD&D Insurance
• Short & Long-Term Disability Plans
• Exclusive Employee Discount Program through BenefitHub
• Clever Rx Prescription Discount Program

The Role

• Develop and optimize signal processing and data fusion algorithms for atmospheric sensor systems.
• Implement machine learning techniques for sensor calibration, anomaly detection, and data validation.
• Enhance real-time data acquisition and processing pipelines for high-precision environmental measurements.
• Apply computational fluid dynamics (CFD) to model airflows, turbulence, and sensor-environment interactions.
• Design and validate sensor housings and components to optimize air sampling and minimize measurement biases.
• Work closely with mechanical and electrical engineers to integrate fluid dynamics insights into sensor design.
• Develop and execute rigorous environmental testing protocols in controlled and field conditions.
• Analyze sensor performance under extreme temperatures, humidity, pressure, and pollution levels.
• Utilize wind tunnels, climate chambers, and real-world deployments to validate sensor accuracy and reliability.

The Background Profile

• U.S. Citizenship required
• Bachelor's Degree in Mechanical Engineering, Aerospace Engineering, Atmospheric Science, or related field; Masters Degree a plus
• Prior experience with micro atmospheric wind sensors, algorithm development, fluid dynamics, and environmental sensor tuning and testing
• Proficiency in Python, MATLAB, or C++ for numerical modeling and data processing
• Experience with wind tunnel experiments, environmental chambers, and real-world sensor deployments
• Familiarity with sensor calibration techniques, signal processing, and uncertainty quantification
• Experience with embedded systems and real-time data processing
• Knowledge of optical, electrochemical, or Micro-Electro Mechanical Systems (MEMS)-based sensing technologies
• Background in machine learning for sensor data analytics
• Ability to be based onsite at the headquarters in Camarillo, CA

The Ideal Background

• Innovative, hands-on, and highly practical in approach
• Multidisciplinary problem solver driven by rigorous engineering analysis
• Goal-oriented, learns from mistakes, and ensures a complete design process
• Strategic, balancing scope and effort effectively
• Highly skilled in clear communication through both discussion and documentation
• Collaborative and thrives in teamwork to develop plans and solve complex problems
• Background experience collaborating with meteorologists, aerospace engineers, or climatologists