Jobs at MatrixSpace

Build and scale high-performance platform software for AI-driven radar systems across edge and cloud. Implement C++, Go, and Python components, distributed services, APIs, and deployment tooling; improve performance, reliability, and observability; collaborate with AI and embedded teams and mentor junior engineers.

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.

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 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.

Lead FCC certification and transmitter compliance testing for radar/wireless products, perform RF/EMI troubleshooting and lab debugging, coordinate with external labs/TCBs, support environmental qualification testing, develop test plans and compliance documentation, and partner with cross-functional engineering teams to integrate compliance into designs.

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.