Principal Software Architect- High Performance Computing
Applied Materials (company site, opens in a new tab)12–18 yrsBengaluru, ChennaiOn-siteDirect career pageEst. 35–65 LPA
Posted 26d ago
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Job description
Structured overview of role & requirements
About This Role
- Design and implement scalable, robust HPC infrastructure solutions combining CPUs, GPUs, and FPGAs for semiconductor equipment.
- Analyze, partition workloads to appropriate compute units ensuring efficient AI inference and parallel processing.
- Profile and optimize cluster and node level performance to improve cost of ownership and system scalability.
Minimum Requirements
- 12 to 18 years of experience in HPC infrastructure design involving CPUs, GPUs, and FPGAs.
- Proficient in parallel programming frameworks such as CUDA, MPI, and GPU inference servers like Nvidia Triton.
- Strong skills in C/C++, data structures, algorithms, multi-threading, interprocess communication, and system-level performance profiling tools.
- Experience with microservices, containerization (Docker/Singularity), and low-latency message queues.
Ideal Candidate Profile
- Deep expertise in designing heterogeneous computing infrastructure and HPC systems for performance-critical applications.
- Proven ability to translate cross-functional requirements into scalable HPC software architectures with hands-on implementation.
- Experience in low-level code optimization, cluster management (SLURM, Torque, LSF), and knowledge of high-throughput data transfer technologies (RDMA, InfiniBand).