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Airborne Sensor Operator Jobs in California (NOW HIRING)

Staff Radar Engineer

Costa Mesa, CA · On-site

$191K - $253K/yr

Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns ... multi-sensor fusion. We're building next-generation airborne radar systems that are rapidly ...

Staff Radar Engineer

Costa Mesa, CA · On-site

$191K - $253K/yr

Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns ... multi-sensor fusion. We're building next-generation airborne radar systems that are rapidly ...

Chief Architect, EW

Costa Mesa, CA · On-site

$166 - $220/hr

Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns ... vision, sensor fusion, and networking technology to the military in months, not years. Position ...

... of airborne and ground based objects using high speed cameras. * Design and optimize AI/ML models ... sensor integration. * Knowledge of real-time operating systems (RTOS) and software development for ...

... of airborne and ground based objects using high speed cameras. * Design and optimize AI/ML models ... sensor integration. * Knowledge of real-time operating systems (RTOS) and software development for ...

... of airborne and ground based objects using high speed cameras. * Design and optimize AI/ML models ... sensor integration. * Knowledge of real-time operating systems (RTOS) and software development for ...

Chief Architect, EW

Costa Mesa, CA · On-site

$191K - $253K/yr

Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns ... Experience integrating hardware onto airborne platforms * Expertise in Frequency Hopped Spread ...

Sr Algorithms/Video Engineer

Irvine, CA · On-site

$150K - $220K/yr

... of airborne and ground based objects using high speed cameras. * Design and optimize AI/ML models ... sensor integration. * Knowledge of real-time operating systems (RTOS) and software development for ...

Showing results 21-40

Airborne Sensor Operator information

See California salary details

$23.5K

$64.3K

$152.8K

How much do airborne sensor operator jobs pay per year?

As of Aug 9, 2026, the average yearly pay for airborne sensor operator in California is $64,325.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,252.00 and $98,412.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the airborne sensor operator position, and why are they important?

To thrive as an Airborne Sensor Operator, you need strong technical aptitude, attention to detail, and typically a background in aviation, military operations, or geospatial sciences. Proficiency with sensor systems such as LiDAR, radar, electro-optical/infrared cameras, and relevant software platforms is commonly required, along with certifications such as an FAA Part 107 Remote Pilot Certificate for UAV operations. Excellent teamwork, communication, adaptability, and problem-solving skills help individuals excel in fast-paced, mission-driven environments. These competencies ensure precise data collection and analysis while maintaining safety and effective collaboration during airborne missions.

What are the typical daily responsibilities of an airborne sensor operator?

As an Airborne Sensor Operator, your daily responsibilities often include planning and preparing sensor equipment before flights, operating and monitoring airborne sensors to collect data, and ensuring the accuracy and quality of the gathered information. You may work closely with pilots, mission coordinators, and data analysts to achieve mission objectives, regularly reviewing and calibrating sensor performance as needed. Post-flight, you are usually involved in initial data processing and reporting, identifying and troubleshooting any equipment or data issues. This role typically involves varying schedules and adaptability to changing mission parameters, making strong organizational skills essential for success.

What is an airborne sensor operator?

An Airborne Sensor Operator is responsible for operating and maintaining specialized sensors and imaging equipment on aircraft to collect data for various purposes, such as mapping, surveillance, or scientific research. They work closely with pilots and mission planners to ensure accurate data capture. This role requires technical expertise in sensor systems, navigation, and data processing. Operators may work for government agencies, military units, research organizations, or private companies.

What are the most commonly searched types of Airborne Sensor Operator jobs in California? The most popular types of Airborne Sensor Operator jobs in California are:
What are popular job titles related to Airborne Sensor Operator jobs in California? For Airborne Sensor Operator jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Airborne Sensor Operator jobs? Cities in California with the most Airborne Sensor Operator job openings:
Infographic showing various Airborne Sensor Operator job openings in California as of August 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 100% In-person job distribution, with an average salary of $64,325 per year, or $30.9 per hour.

Manager, Software - Perception (R3770) with Security Clearance

Shield AI Inc

San Diego, CA • On-site

Other

Posted 13 days ago


Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai . Follow Shield AI on LinkedIn , X , Instagram , and YouTube . This position is ideal for an individual who thrives on building advanced perception systems that enable autonomous aircraft to operate effectively in complex and contested environments. A successful candidate will be skilled in developing real-time object detection, sensor fusion, and state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs. The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions. We are seeking a skilled and motivated manager to lead technical teams and support direct projects integrating perception solutions for defense platforms. Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Perception Engineers are instrumental in creating the situational awareness that underpins autonomy, ensuring our systems understand and respond to the operational environment with speed, precision, and resilience. What you'll do: * Multidisciplinary Team Leadership - Lead teams across autonomy, integration, and testing by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution. Balance hands-on technical oversight with performance optimization, innovation, and clear stakeholder communication. * Develop advanced perception algorithms - Design and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities. * Implement sensor fusion frameworks - Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness. * Develop state estimation capabilities - Design and refine algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs to enable stable and accurate navigation. * Analyze and utilize sensor ICDs - Interpret interface control documents (ICDs) and technical specifications for aircraft-mounted sensors to ensure correct data handling, interpretation, and synchronization. * Optimize perception performance - Tune and evaluate perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments. * Support autonomy integration - Work closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules. * Validate in simulated and operational settings - Leverage synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness. * Collaborate with hardware and sensor teams - Ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads. * Drive innovation in airborne sensing - Contribute novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments. * Travel Requirement - Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events). Required Qualifications: * BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience * Typically requires a minimum of 7 years of related experience with a Bachelor's degree; or 5 years and a Master's degree; or 4 years with a PhD; or equivalent work experience. * 5+ years of experience in Unmanned Systems programs in the DoD or applied R&D * 2+ years of people leadership experience * Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models. * Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches. * Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications. * Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs. * Proficiency with version control, debugging, and test-driven development in cross-functional teams. * Ability to obtain a SECRET clearance. Preferred Qualifications: * Hands-on integration or algorithm development with airborne sensing systems. * Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks. * Experience deploying perception software on SWaP-constrained platforms. * Familiarity with validating perception systems during flight test events or operational environments. * Understanding of sensing challenges in denied or degraded conditions. * Exposure to perception applications across air, maritime, and ground platforms. #LI-ED1 #LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.