High-Performance Computing (HPC) Software Engineer III

Markon

1d•$160,000 - $210,000

About The Position

Markon’s partner company is seeking a High-Performance Computing (HPC) Software Engineer to design, develop, optimize, and maintain scalable parallel and distributed systems operating in advanced HPC environments for the Fort Meade Customer. This role requires deep expertise in parallel programming, performance optimization, Linux systems, and large-scale HPC architectures. The engineer will serve as a technical leader, helping drive architectural decisions, implementing high-performance solutions, and mentoring team members in advanced HPC methodologies.

Requirements

Active TS/SCI w/ Polygraph
Master’s degree in Computer Science or related field + 5 years of relevant experience or Bachelor’s degree in Computer Science or related field + 7 years of relevant experience
9 years of relevant Software Engineering experience
Experience working with Linux CLI and Linux-based tools
Experience developing Bash scripts to automate processes
Recent software development experience with C/C++ and Python
Strong experience with parallel programming models such as MPI, OpenMP, and CUDA
Deep understanding of: Multi-threading and concurrency Memory hierarchy and cache optimization NUMA architectures Vectorization and SIMD optimization
Experience implementing and maintaining parallel and distributed algorithms optimized for performance and scalability
Subject matter expertise in parallel computing strategies and statistical modeling
Experience installing, configuring, optimizing, and supporting COTS/GOTS/FOSS software and libraries in Linux environments
Strong problem-solving, collaboration, and communication skills
Experience using Git version control

Nice To Haves

Experience with SQL databases such as MySQL, MariaDB, or PostgreSQL
Experience with distributed data processing frameworks, such as Apache Spark
Experience working with HPC job schedulers, including Slurm
Experience with containerization technologies such as Docker, containerd, or Podman
Experience using the Atlassian tool suite, including JIRA and Confluence

Responsibilities

Design, develop, and maintain high-performance parallel and distributed software systems
Optimize applications for performance across CPU, GPU, memory, storage, and network layers
Implement scalable algorithms for large-scale HPC environments
Develop automation scripts to streamline system operations and development workflows
Install, configure, and support COTS, GOTS, and FOSS software packages and libraries in Linux environments
Analyze and optimize application performance using advanced HPC techniques
Provide technical leadership and mentorship on parallel computing strategies and HPC best practices
Communicate complex HPC concepts and solutions to both technical and non-technical stakeholders