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Help bring AI and machine learning capabilities to embedded edge platforms by building high-performance software that runs close to the hardware.
MatrixSpace develops AI-enabled radar and sensing systems that help people understand what's happening in the world around them.
By combining advanced radar, edge computing, and AI, we deliver situational awareness in environments where traditional sensing solutions struggle.
We're looking for a hands-on Software Engineer, Embedded Systems to help deploy, optimize, and scale embedded software and AI/ML workloads on resource-constrained edge platforms.
You'll spend time developing embedded applications, porting and optimizing AI/ML algorithms, and working across Linux, networking, and deployment environments.
You'll work closely with Software, Radar Firmware, DevOps, and Data Science teams to deliver reliable, production-ready AI-enabled products.
If you're technically curious, practical, and energized by solving difficult systems-level challenges, we'd love to talk.
This position requires working directly or indirectly with the US Government in restricted environments.
Candidates must be legally authorized to work in the United States without employer sponsorship and may be required to obtain and maintain a U.S. government security clearance in the future.
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At MatrixSpace, software engineering is where advanced sensing technology meets real-world deployment.
You'll help bring AI-powered capabilities to edge platforms so our customers can gain actionable insights from complex environments.
If that sounds exciting, we'd love to hear from you.
Private U.S. defense-technology company developing AI-enabled radar and sensing systems for airspace safety and counter-drone operations.
Visit company websiteJobs and hiring trendsUSD 150000-185000 yearly
Full-time
Mid Level
Hybrid
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