Responsibilities

Develop and maintain runtime software and services for managing FPGA resources

Integrate and optimize middleware layers for workload scheduling, resource allocation, and device management

Build interfaces between hardware, drivers, and higher-level orchestration layers

Enable and validate cloud-based deployment of FPGA workloads (e.g., containers, VM images)

Collaborate closely with hardware, system software, and DevOps teams

Profile performance bottlenecks and implement optimizations for latency, throughput, and power efficiency

Develop tools for runtime monitoring, diagnostics, and recovery

Required Qualifications

BS/MS in Computer Science, Computer Engineering, or a related field

5+ years of software development experience in systems or embedded environments

Strong proficiency in C/C++, Python. Must have object-oriented programming experience

Experience in working with runtime layers for FPGAs or custom accelerators

Understanding of low-level hardware/software interactions, device drivers, memory-mapped I/O

Familiarity with Linux systems, system calls, and performance profiling tools

Experience deploying software in cloud environments (e.g., AWS, Azure, GCP) using containers or infrastructure-as-code tools (Git, Perforce)

Understanding of PCIe, DMA, and high-speed interconnects

Experience in developing EDA tools is a plus