Runtime Software Developer

2 weeks ago

Bengaluru, Karnataka, India Ignitivesearch Consulting Full time ₹ 20,00,000 - ₹ 25,00,000 per year

About the Role

We are seeking a skilled and driven Runtime Software Engineer to join our team developing a cutting-edge FPGA-based datacenter platform. This role will focus on designing, optimizing, and maintaining the runtime software stack that manages hardware resources and orchestrates workloads. The ideal candidate brings a strong background in low-level systems programming and has experience deploying applications in cloud environments.

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++ and Python
  • Experience 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)

Preferred Qualifications

  • Experience with Xilinx or Intel FPGA platforms (e.g., Vitis, OpenCL, or DPDK with FPGAs)
  • Understanding of PCIe, DMA, and high-speed interconnects
  • Familiarity with Kubernetes or other orchestration tools for managing FPGA workloads
  • Contributions to open-source software or relevant tool chains
  • Background in HPC, networking, or real-time systems

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