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Computer Vision Engineer - Autonomy
Amadeus Search
- United States
- United States
À propos
Computer Vision Engineer - Autonomy Employment Type:
Full-time, On-site Location:
El Segundo, CA (in-person only, no hybrid) Compensation:
$200k - $300k base + competitive equity Visa:
Not available - must be
U.S. citizen
Company Overview
Neros Technologies is a
defense-tech startup
reimagining military drone technology for speed, precision, and autonomy. Their goal: replace costly, vulnerable defense assets with agile, swarm-capable drones that save lives by removing humans from the battlefield.
Founded in
2023 , Neros has
$46M in funding
(including from Sequoia Capital), a
70-person engineering-first team , and a vertically integrated approach - developing everything from radios and compute hardware to AI autonomy software. Role Summary
As
Autonomy Computer Vision Engineer , you'll design and implement
real-time vision algorithms
for autonomous drones. Work spans from algorithm development to deployment in operational environments. You'll collaborate with robotics, software, and hardware teams to deliver reliable autonomy in challenging field conditions. Key Responsibilities Develop & optimize
real-time computer vision algorithms
for drone autonomy Implement techniques for
SLAM, object detection, and image segmentation Integrate vision solutions with autonomous UAV platforms Validate algorithms in simulation & real-world environments Ensure system performance under real-time constraints Ideal Candidate Profile 3+ years
in computer vision, robotics, or autonomy systems Strong coding skills:
Python
+
C++ Expertise with vision libraries:
OpenCV, TensorFlow, PyTorch Experience with
SLAM
and perception pipelines Familiarity with UAVs, drones, and embedded constraints U.S. citizenship required Culture & Work Style Engineering-first
- high autonomy, deep technical ownership Fast-paced startup working on high-stakes defense applications Highly collaborative, on-site team in El Segundo, CA
Compétences linguistiques
- English
Avis aux utilisateurs
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