Computer Vision Engineer - Autonomy

Amadeus Search; El Segundo (CA); On-site; USD 200,000 - 300,000; Full time

Job summary

A defense-tech startup is seeking a Computer Vision Engineer focused on developing and optimizing algorithms for autonomous drones. The role involves working on SLAM, object detection, and integrating vision solutions with UAV platforms. Candidates must have 3+ years of experience, strong skills in Python and C++, and familiarity with computer vision libraries. This position requires U.S. citizenship and is based in El Segundo, California with no hybrid options.

Qualifications

• 3+ years in computer vision, robotics, or autonomy systems.
• Strong coding skills in Python and C++.
• Experience with SLAM and perception pipelines.

Responsibilities

• Develop & optimize real-time computer vision algorithms for drone autonomy.
• Implement techniques for SLAM, object detection, and image segmentation.
• Validate algorithms in simulation & real-world environments.

Skills

Computer vision

Robotics

Python

C++

OpenCV

TensorFlow

PyTorch

Job description

Role: 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