Jobs at MatrixSpace

Own improvements to released radar products through hardware troubleshooting, root cause analysis, circuit and PCB redesign, component qualification, field testing, and performance validation. Investigate production and customer issues, analyze radar behavior and system interactions, improve manufacturing yield and diagnostics, and document engineering changes. Collaborate with software, firmware, RF, mechanical, manufacturing, quality, and supply chain teams to deliver reliable corrective solutions.

Designs mechanical components and electro-mechanical assemblies for radar and multi-sensor products. Responsibilities span concept development, CAD modeling, detailed drawings, prototyping, testing, manufacturing support, documentation, and production transition. The role requires collaboration across mechanical, electrical, firmware, systems, supplier, and manufacturing teams, with occasional field testing and travel. Candidates need mechanical design experience, hands-on hardware skills, GD&T and tolerance stack-up knowledge, and U.S. work authorization without sponsorship.

Designs FPGA architectures and high-throughput data paths for radar sensing systems. Develops vendor and custom IP, integrates DMA and processor interfaces, implements radar signal-processing algorithms, and optimizes timing, latency, throughput, and resource utilization. The role includes hardware debugging, lab validation, FPGA/software integration, cross-functional collaboration with RF and embedded teams, and technical mentorship.

Drive federal sales growth outside the Department of War by developing agency relationships, identifying missions for radar and sensing solutions, managing strategic accounts, and closing complex opportunities. Own the sales lifecycle from prospecting through contract award, navigate federal acquisition and budgeting processes, build pipelines, partner with technical teams, and represent MatrixSpace at industry events. The role requires extensive federal technology sales experience, strong acquisition knowledge, and travel as needed.

Implement and productionize ML research into performant C++ and Python systems, build ML infrastructure and training pipelines, design LLM/agent applications, and deploy AI workloads across edge, near-edge, and cloud environments while collaborating with data science and engineering teams.

Design and implement FPGA architectures and high-throughput data paths for radar sensing. Integrate vendor/custom IP, translate signal-processing algorithms to RTL, optimize timing/resource/throughput, debug hardware/software integration, and mentor engineering teams.

Build, operate, and secure AWS cloud environments to meet FedRAMP and government security standards. Integrate security into CI/CD, IaC, and deployment workflows; support authorizations, audits, vulnerability management, system hardening, and compliance documentation.