Alare Technologies is a cutting-edge sUAS (small unmanned aerial systems) engineering firm developing next-generation autonomous aerial platforms for defense and aerospace applications. We're seeking a Software & Visual Autonomy Engineer with a strong background in aerospace-grade vision systems and embedded software development.

You’ll leverage our existing vision pipelines and elevate them with advanced algorithms for autonomous target detection, recognition, and visual tracking. Your work will directly support flight-critical systems operating on embedded Linux platforms in real-world aerospace environments.

Architect and maintain robust robotics vision pipelines
Develop and train machine learning models for onboard visual autonomy
Build high-performance C++ applications for embedded flight systems

Required Expertise:

We’re looking for an engineer who thrives in high-reliability, real-time environments and understands the demands of aerospace-grade autonomy.

C++ (real-time, embedded systems)
Python (ML workflows)
GStreamer & DeepStream (video pipelines)
TensorRT & CUDA (GPU acceleration)
Nvidia Jetson or similar platforms
Familiarity with aerospace software standards is a plus

Ideal Background

Experience with autonomous systems in aerospace, defense, or robotics
Familiarity with flight software, sensor fusion, or onboard AI
Comfortable working in a lean, agile startup environment
*** Successful applicants must be able to obtain and hold a US Security Clearance.

How to Apply

Please reply with:

Your availability
Salary expectations
Answer screening questions or application will automatically be denied.

Job Type: Full-time

Pay: $72,000.00 - $160,000.00 per year

Benefits:

401(k)
AD&D insurance
Disability insurance
Employee assistance program
Health insurance
Paid holidays
Paid sick time
Vision insurance

Application Question(s):

Describe a unique gstreamer plugin that you have written.
Describe an application you developed (or helped to develop) that leveraged Cuda Kernel usage.
Describe a few point and object tracking algorithms and explain how and why they are used.

Work Location: In person

Alare Technologies, LLC

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Software & Visual Autonomy Engineer