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Software Engineer, Embedded SystemsMatrixspace • Burlington, Vermont, United States
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Software Engineer, Embedded Systems

Matrixspace
  • US
    Burlington, Vermont, United States
  • US
    Burlington, Vermont, United States
Postuler Maintenant

À propos

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 develop embedded applications, port and optimize AI/ML algorithms, and work across Linux, networking, and deployment environments. You’ll collaborate with Software, Radar Firmware, DevOps, and Data Science teams to deliver reliable, production‑ready AI‑enabled products.
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 the 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.
Required
Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, Robotics, or a related technical field, or equivalent practical experience.
Professional experience building, deploying, and maintaining production embedded software systems on edge devices with constrained CPU, GPU, memory, storage, and power resources.
Strong embedded software development experience using C/C++, with working 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 working close to hardware and solving complex systems‑level challenges.
Takes ownership of problems from development through deployment and support.
Continuously seeks opportunities to improve performance, reliability, and maintainability, while also taking time to learn the ins and outs of the existing products.
Collaborates effectively across multidisciplinary engineering teams.
Balances technical depth with practical product delivery.
Enjoys building, optimizing, or experimenting with embedded systems, robotics, AI, or edge computing technologies.
Bonus Points
Experience deploying AI/ML models using TensorRT, 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.
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  • Burlington, Vermont, United States

Compétences linguistiques

  • English
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