Space IR Vision Systems Engineer (Real-Time)

etc.

San Francisco (CA)

On-site

USD 140,000 - 210,000

Full time

2 days ago
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Job summary

Exploration Technology Corp is seeking a hands-on Vision Systems Engineer to own the detection, tracking, and discrimination software stack for a space-based IR sensing program supporting national security missions. You will develop the full pipeline from detection to guidance outputs on embedded hardware, in real-time environments.

You will design adaptive detection, multi-target tracking with Kalman filters and data association, and train CNN classifiers for target vs.

Qualifications

  • Bachelor's degree in a technical field (Software/Electrical/Optical/Aerospace).
  • 5+ years of IR sensor systems/space-based imaging experience.
  • Advanced degree preferred for senior applicants.

Responsibilities

  • Own the detection, tracking, and discrimination software stack for space-based IR sensing program.
  • Design and implement the full pipeline from detection through tracking and state estimation.
  • Develop and train lightweight CNN classifiers for real-time embedded inference.
  • Integrate algorithms into end-to-end IR scene simulation and hardware-in-the-loop validation.
  • Collaborate with electronics teams on ROIC interfaces and high-speed data paths.
  • Develop real-time image processing pipelines on embedded FPGA and GPU platforms.
  • Build radiometric and noise models and create validation plans.

Skills

Kalman filtering
Multi-target tracking
Data association
MATLAB
Python
C++ production
CNN/ML inference
Monte Carlo analysis
Radiometric modeling
Signal processing

Education

Bachelor's degree
Advanced degree

Tools

MATLAB
Python
C++

Job description

Exploration Technology Corp is seeking a hands-on Vision Systems Engineer to own the detection, tracking, and discrimination software stack for a space-based IR sensing program supporting national security missions. You will develop the full pipeline from detection to guidance outputs on embedded hardware, in real-time environments.

You will design adaptive detection, multi-target tracking with Kalman filters and data association, and train CNN classifiers for target vs.

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