2 days ago
Hyderābād, IndiaSenior
Responsibilities
- Design, develop, and maintain Linux kernel drivers, userspace libraries, and software frameworks for networking, RDMA, storage, and AI infrastructure platforms.
- Architect, implement, and optimize Ethernet, RDMA/RoCE, NVMe, NVMe-oF, virtualization, transport acceleration, and scalable storage technologies.
- Collaborate with hardware, firmware, architecture, and performance teams to deliver next-generation platform capabilities.
- Benchmark and optimize networking and storage stacks for AI training and inference workloads.
- Debug system-level issues across operating systems, drivers, firmware, hardware, networking fabrics, storage systems, and distributed environments.
- Contribute to Linux open-source projects and drive upstream adoption of AMD technologies.
- Use AI-assisted development, code analysis, and debugging tools to improve engineering productivity and software quality.
- Mentor junior engineers and contribute to architecture reviews, technology strategy, and engineering practices.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Electronics Engineering, or a related technical field.
- Strong software development experience in C and C++ with a foundation in systems programming.
- Experience developing Linux kernel drivers, networking software, RDMA software, storage software, operating system components, or other low-level systems software.
- Strong understanding of computer architecture, memory management, operating systems, concurrency, multithreaded programming, and performance optimization.
- Hands-on experience with TCP/IP, Ethernet, RDMA/RoCE, InfiniBand, NVMe, NVMe-oF, storage fabrics, virtualization, DPDK, SPDK, or equivalent high-performance frameworks.
- Experience with high-performance communication stacks and distributed AI or HPC workloads, including RoCE, libfabric, UCX, OpenMPI, NCCL/RCCL, OneCCL, and distributed training frameworks.
- Experience analyzing and optimizing distributed AI workloads across large-scale GPU, accelerator, and networking infrastructures.
- Experience with Linux development tools, debugging, performance profiling, Git, automated testing frameworks, and software validation.
- Familiarity with AI-assisted software development, code generation, testing, debugging, and review workflows.
- Linux open-source contribution and upstream community collaboration experience is highly desirable.
- Demonstrated technical leadership and ability to drive cross-functional initiatives and influence software architecture decisions.
About AMD
AMD designs and sells CPUs, GPUs, and adaptive/embedded computing products for PCs, data centers, gaming, and edge devices. Its portfolio includes Ryzen and EPYC processors, Radeon and Instinct graphics, and adaptive SoCs from its Xilinx acquisition, sold to OEMs, cloud providers, and device makers. Founded in 1969 and headquartered in Santa Clara, it is a public company on NASDAQ and supplies semi-custom chips for major game consoles.