Job description

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 Embedded Software Engineer to build high-performance software that runs close to the hardware. You'll develop production embedded applications in C/C++, optimize software for resource-constrained edge platforms, and work across Linux, networking, and system-level software. If you're the kind of engineer who can read complex C/C++ code like a book, enjoys understanding entire systems rather than isolated components, and loves solving practical engineering problems, we'd love to talk. What You'll Do • Port, optimize, and enhance platform software for embedded and resource-constrained compute environments. • Deploy, validate, profile, and optimize AI/ML-enabled applications on edge hardware. • Develop production-quality software using C/C++, Python, Golang, and Linux-based technologies. • Collaborate with Data Science teams to integrate AI/ML models into production software pipelines. • Work across Linux kernel, device interfaces, networking, and system-level software components. • Participate in architecture reviews, code reviews, testing, troubleshooting, and technical planning. What We're Looking For 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. THIS IS NOT A FULLY REMOTE POSITION. Required • Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, Robotics, or a related technical field, or equivalent practical experience. • 4+ years of professional software engineering experience or equivalent demonstrated expertise • Professional experience building, deploying, and maintaining production embedded software systems on constrained edge devices • Expert-level proficiency in C/C++ with the ability to quickly understand, debug, and extend large existing codebases. This role is not a fit for candidates without deep C/C++ experience. W orking knowledge of Golang and Python3.8+ preferred. • Strong experience with Yocto-based embedded Linux distributions, including image customization, package management, board support packages, kernel configuration and tuning, and production deployment workflows. • Strong debugging, profiling, and performance optimization skills on constrained compute platforms. • Ability to collaborate effectively across software, firmware, DevOps, data science, and hardware teams. Someone Who Will Thrive in This Role • Enjoys understanding complete systems—not just individual components. • Takes ownership of complex technical problems and follows them through to production. • Is comfortable diving into large existing codebases and becoming productive quickly. • Values practical, reliable engineering over unnecessary complexity. • Collaborates effectively across software, firmware, hardware, and AI teams. • Has experience at smaller or fast-growing companies where engineers own broad portions of the product rather than a single isolated component. • Has experience developing connected devices, IoT platforms, fleet management systems, robotics, or other distributed edge computing products. Bonus Points • Experience deploying AI/ML models usingTensorRT, ONNX Runtime,PyTorch, TensorFlow Lite, or similar frameworks. • Experience with NVIDIA Jetson, CUDA, GPUs, NPUs, or other edge accelerators. • Background in radar, RF sensing, robotics, autonomy, perception systems, signal processing, or sensor fusion. • Experience with hardware-in-the-loop testing, board bring-up, and embedded platform validation. 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.

Requirements

Must-haves

Help bring AI and machine learning capabilities to embedded edge platforms by building high-performance software that runs close to the hardware.
If you're the kind of engineer who can read complex C/C++ code like a book, enjoys understanding entire systems rather than isolated components, and loves solving practical engineering problems, we'd love to talk.
Port, optimize, and enhance platform software for embedded and resource-constrained compute environments.
Deploy, validate, profile, and optimize AI/ML-enabled applications on edge hardware.
Develop production-quality software using C/C++, Python, Golang, and Linux-based technologies.
Collaborate with Data Science teams to integrate AI/ML models into production software pipelines.
Work across Linux kernel, device interfaces, networking, and system-level software components.
Participate in architecture reviews, code reviews, testing, troubleshooting, and technical planning.
THIS IS NOT A FULLY REMOTE POSITION.
Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, Robotics, or a related technical field, or equivalent practical experience.
4+ years of professional software engineering experience or equivalent demonstrated expertise
Professional experience building, deploying, and maintaining production embedded software systems on constrained edge devices
Strong experience with Yocto-based embedded Linux distributions, including image customization, package management, board support packages, kernel configuration and tuning, and production deployment workflows.
Strong debugging, profiling, and performance optimization skills on constrained compute platforms.
Ability to collaborate effectively across software, firmware, DevOps, data science, and hardware teams.
Someone Who Will Thrive in This Role
Enjoys understanding complete systems—not just individual components.
Takes ownership of complex technical problems and follows them through to production.
Is comfortable diving into large existing codebases and becoming productive quickly.
Values practical, reliable engineering over unnecessary complexity.

Nice-to-haves

Experience deploying AI/ML models usingTensorRT, ONNX Runtime,PyTorch, TensorFlow Lite, or similar frameworks.
Experience with NVIDIA Jetson, CUDA, GPUs, NPUs, or other edge accelerators.
Background in radar, RF sensing, robotics, autonomy, perception systems, signal processing, or sensor fusion.
Experience with hardware-in-the-loop testing, board bring-up, and embedded platform validation.

Application prep

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Keywords to mirror

aimachine learningmlpythongolang

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