Top Tech Jobs & Startup Jobs

Own and improve Python-based production provisioning and test software for AI-enabled radar and sensing hardware. Build automation, backend services, APIs, diagnostics, monitoring, and production data collection while improving yield, reliability, test cycle time, and cost. Troubleshoot Linux, networks, containers, cloud systems, and connected hardware; support deployments and releases; introduce new products and tests; and partner with manufacturing and engineering teams onsite in Hoffman Estates with approximately 10% travel.

Design, develop, integrate, and test RF components and subsystems for radar applications. Responsibilities include antenna and RF hardware design, performance analysis, prototype evaluation, lab measurements, troubleshooting, field testing, and documenting improvements. The role collaborates across hardware, software, and systems engineering teams and requires hands-on RF test equipment experience, technical ownership, and onsite work in Hoffman Estates.

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.

Own integrated software execution planning across engineering, AI/ML, DevSecOps, UI/UX, systems integration, product, program, test, and operations teams. Translate priorities into schedules, dependencies, milestones, release plans, and readiness criteria. Lead planning cadences, identify risks and resource conflicts, align stakeholders, escalate decisions, and improve execution predictability without direct authority.

Design, fabricate, integrate, and test mechanical components and electro-mechanical assemblies for radar and multi-sensor products. Build prototypes, troubleshoot mechanical and basic electrical issues, create hardware documentation, support component procurement, and participate in lab testing, field deployments, and customer demonstrations. Collaborate with electrical, firmware, and systems engineers while using CAD, shop tools, wiring, soldering, and diagnostic methods.

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 and optimize production embedded software in C/C++ for resource-constrained edge platforms. Deploy and profile AI/ML applications, work with Yocto/Linux kernel, integrate models with data science teams, and participate in architecture, testing, and performance tuning.

Design, build, and operate scalable data platforms and pipelines ingesting radar sensor data. Implement ingestion, transformation, enrichment, aggregation, and publishing workflows across relational, NoSQL, time-series, and lake/warehouse systems. Optimize PostgreSQL performance, ensure data quality, observability, and collaborate with engineering, product, and infrastructure teams to enable AI and analytics.