Principal Software Architect- High Performance Computing
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Protocol Intelligence
Data-driven signals on your job's competitivenessNiche senior HPC role but Tier-1 employer and metro location increase applicant density.
Highly specialized HPC, GPU, MPI, and low-level systems expertise limits cross-industry transferability.
Explicit 12-18 years plus many mandatory niche technical skills and domain proficiencies increases filtering strictness.
Job Description
Structured overview of role & requirementsAbout 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).