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The High-Performance Computing (HPC) Software Engineer shall be responsible for the design, development, optimization, and maintaining scalable parallel and distributed systems that operate in high-performance computing environments. This role requires deep expertise in parallel programming, performance optimization, Linux systems, and large-scale HPC architecture. The HPC Software Engineer shall serve as a technical leader, driving innovation, architectural decisions and mentoring engineers in advanced HPC methodologies.
Job Responsibility:
Design, development, optimization, and maintaining scalable parallel and distributed systems that operate in high-performance computing environments
Serve as a technical leader, driving innovation, architectural decisions and mentoring engineers in advanced HPC methodologies
Requirements:
Masters degree in Math, Computer Engineering, Computer Science, or related discipline from an accredited college or university, plus five (5) years of experience as an HSE, in programs and contracts of similar scope, type, and complexity
OR Bachelor's degree in Math, Computer Engineering, Computer Science, or related discipline from an accredited college or university, plus seven (7) years of experience as an HSE, in programs and contracts of similar scope, type, and complexity
OR Nine (9) years of experience as an HSE, in programs and contracts of similar scope, type, and complexity
Experience using the Linux CLI and Linux tools
Experience developing Bash scripts to automate manual processes
Recent software development experience using C/C++ and Python
Strong experience with parallel programming models such as MPI, OpenMP, CUDA
Deep understanding of multi-threading and concurrency, memory hierarchy and cache optimization, NUMA architectures, vectorization and SIMD
Experience implementing and maintaining parallel and distributed algorithms optimized for scalability and performance across HPC components including CPU, GPU, memory, storage, and network layers
SME for parallel computing strategies and statistical modeling
Strong problem solving, collaboration, and communication skills to explain complex HPC concepts to non-specialist stakeholders
Experience installing, configuring, optimizing, and supporting COTS/GOTS/FOSS software, libraries, and packages in a Linux environment
Experience with Git Source Control System
Nice to have:
Experience with SQL technologies such as MySQL, MariaDB, and PostgreSQL
Experience using Distributed Big Data processing engines such as Spark
Experience with HPC schedulers such as Slurm
Experience with containerization technologies such as Docker, containerd, and Podman
Experience using the Atlassian Tool Suite (JIRA, Confluence)