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Live In Uav Sensor Operator Jobs in California (NOW HIRING)

GDIT

ASW Training Specialist

San Diego, CA · On-site

$76K - $103K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Sensor Operator (ASO). A primary focus of the role is instructing Officers and Sailors in the tactical employment of the ASW SONAR Suite and the integration of embedded training systems such as the ...

General Atomics

UAV Systems Specialist III

San Diego, CA · On-site

$81K - $141K/yr

The UAV System Specialist will be responsible for the research, coordination, development, and ... Expected to work in a safe manner in accordance with established operating procedures and practices.

New

Kratos Defense

Software Engineer IV (UAV Embedded)

El Segundo, CA · Hybrid

$160K - $225K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a mid-tier defense contractor, we've demonstrated agility and innovation in providing aircraft ... Designs, develops, and tests C++ flight software and hardware, sensor, and actuator integrations.

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Live In Uav Sensor Operator information

What is the difference between Live In Uav Sensor Operator vs Uav Pilot?

AspectLive In Uav Sensor OperatorUav Pilot
Primary RoleOperate sensors and gather intelligence from UAVsFly and navigate UAVs
Required CertificationsSensor operation and UAV operation certificationsUAV pilot licenses and certifications
Work EnvironmentField operations, often in remote or military settingsControl centers, field, or remote locations
Industry UsageMilitary, defense, surveillanceMilitary, commercial, aerial photography

While both roles involve UAV operation, the Live In Uav Sensor Operator specializes in sensor management and intelligence gathering, often in military contexts. The Uav Pilot focuses on flying and navigating UAVs. Understanding these distinctions helps clarify job responsibilities and required skills in the UAV industry.

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The most popular types of Uav Sensor Operator jobs in California are:

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Live In Uav Sensor Operator jobs near you

Senior ML Engineer, Multi-Sensor Modeling

Gridware

San Francisco, CA • On-site

$190K - $205K/yr

Full-time

Medical, Dental, Vision

Re-posted 9 days ago

Job description

About Gridware
Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware's advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io.
Responsibilities
  • Develop algorithms that improve the speed, accuracy, and reliability of Gridware's automated hazard detection systems
  • Work with multimodal time-series and spatial sensor data across diverse sampling rates and noise characteristics.
  • Design models that are robust, interpretable, and deployable in production environments.
  • Live in the data; help curate & share strategic & well-defined datasets that help solve our highest-value challenges
  • Explore advanced approaches such as graph-based learning for grid topology reasoning, geospatial modeling and localization and multimodal fusion across acoustic, magnetic, vibration, electrical, and visual signals
Production Engineering
  • Write clean, scalable, well-tested Python code that integrates into a large shared codebase.
  • Build end-to-end ML pipelines including data processing, feature extraction, training, evaluation, and deployment.
  • Optimize models for performance, reliability, and real-world constraints.
  • Collaborate on infrastructure for model monitoring, validation, and continuous improvement.
Collaboration & Communication
  • Translate complex analyses into clear insights for engineers, operators, and leadership.
  • Frame solutions to ambiguous, open-ended problems to achieve buy-in from various stakeholders by focusing on the business impact of your projects
  • Communicate uncertainty, tradeoffs, and model behavior effectively.
  • Partner cross-functionally with software, data engineering, product, and event-reporting teams.
  • Help shape technical direction and best practices for ML at Gridware. This includes exemplifying standards for experiment tracking, model versioning, reproducibility, and lifecycle management.
Required Skills
  • 5+ years of experience in machine learning, signal processing, or applied physics in production environments.
  • Strong programming skills in Python and experience contributing to large, shared codebases.
  • Experience working within modern software stacks, including cloud platforms, containerization, and CI/CD workflows
  • Excellent written and verbal communication, especially explaining data and models clearly.
Bonus Skills
  • Experience with Graph Neural Networks or learning over physical/topological systems.
  • Familiarity with power systems, embedded sensing, or edge ML.
  • Proven experience with time-series modeling and noisy real-world sensor data.
  • Experience with multimodal learning or sensor fusion.
  • Track record of technical leadership or mentoring.
 
$190,000 - $205,000 a year
This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply!
 
Gridware Technologies Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law.
 
Benefits
Health, Dental & Vision (Gold and Platinum with some providers plans fully covered) 
Paid parental leave 
Alternating day off (every other Monday)
"Off the Grid", a two week per year paid break for all employees. 
Commuter allowance 
Company-paid training 
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