Software Engineer, Embedded Systems

MatrixSpace • Burlington, MA

11h

About The Position

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.

Requirements

• 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.
• 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.

Nice To Haves

• 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.

Responsibilities

• 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 This Job Offers

• Job Type: Full-time
• Career Level: Entry Level