HPC Engineer

Position: HPC Engineer 2/3
** What You Will Do*
* ** This position is open for external candidates only to apply.*
* Join the High Performance Computing Environments Group (HPC-ENV) at Los Alamos National Laboratory, where we manage and operate advanced large-scale computing infrastructure supporting a diverse range of critical workloads. The HPC Consulting team provides direct support to HPC customers to enhance the productivity of the user community by providing quality technical support for a wide range of workloads, including:

+ Large-Scale Modeling & Simulation (e.g., physics, engineering, climate)

+   Artificial Intelligence & Machine Learning (AI/ML) deployments

+   Emerging software for next-generation computing needs

** Team Responsibilities*
* Our Consultants are a user-facing team who provide support and engage with LANL customers via documentation, consulting, and training. As HPC Consultants, we are a single point of contact for HPC systems and deliver customer-focused services, tools, and software. The Division's goal is to create an effective HPC environment in which scientists can be as productive as possible on world-class supercomputing systems.

The HPC Division supports the Los Alamos National Laboratory (LANL) mission by managing a world-class supercomputing center. We support stockpile stewardship for NNSA/DOE and accelerate scientific discovery for scientists. We integrate and support some of the world's largest supercomputers during an exciting time in computing, with a focus on traditional large-scale simulations, data science, artificial intelligence, and machine learning.

** HPC Engineer 2 ($,000)*
* + Direct Customer Support:
Provide expert guidance and consultation to scientists, engineers, and other HPC users to enhance their workflows and enable effective use of HPC systems through phone, email, ticketing systems, and in-person consultations.

+   Documentation and Training:
Develop user guides, best practices, and training materials to help the user community get the most from the HPC environment.

+   System Efficiency:
Work with HPC system administrators to identify issues and improve overall system performance and resource utilization.

+   Independent Problem Solving:
Work independently to implement customer solutions to current problems and enhance the HPC user environment.

+   External Representation:
Represent LANL HPC Consulting at workshops, meetings, and conferences with other HPC and NNSA/DOE sites.

+   HPC Application Support:
Provide in-depth support for users of HPC systems, including installation, configuration, and troubleshooting of scientific and engineering applications.

+   Performance Optimization:
Analyze and optimize the performance of parallel applications and workflows to ensure efficient use of HPC resources.

+   Code Profiling and Tuning:
Collaborate with software developers and users to profile and tune applications for performance, memory usage, and scalability on HPC platforms.

** HPC Engineer 3 ($,900)*
* In addition to the duties outlined above, a successful HPC Engineer 3 candidate will be required to:

+ Advanced Application Support:
Serve as the go-to technical resource for the most complex scientific and engineering application issues, including deep debugging of parallel codes, build failures, and cross-platform portability problems.

+   Performance Engineering:
Conduct advanced profiling, tuning, and optimization of parallel applications across CPU and GPU architectures, identifying bottlenecks in memory, I/O, communication, and scalability.

+   Software Stack Expertise:
Maintain deep working knowledge of compilers (NVIDIA HPC SDK, Intel, LLVM, GNU), scientific/math libraries, and environment management tools (Environment Modules, Spack, or similar) to support and troubleshoot the HPC software stack.

+   Parallel Programming Depth:
Apply advanced knowledge of parallel programming models (MPI, OpenMP, threading, CUDA/HIP) to help users decompose problems, port applications, and resolve scaling issues.

+   Workflow & Container Support:
Support advanced computational workflows, including containerized applications and container runtimes (Charlie cloud, Singularity/Apptainer, Docker, and Podman), across HPC and hybrid environments.

+   Technical Representation:
Represent LANL HPC Consulting at workshops, conferences, and technical meetings across the DOE Complex, sharing solutions and gathering emerging best practices.

+   Knowledge Transfer:
Enhance the technical expertise of junior staff through informal…