HPC Software Engineer

Chevron • Houston, TX

2d

About The Position

The High-Performance Computing (HPC) team is responsible for providing application and infrastructure solutions that support complex, compute intensive workloads, parallel filesystems, low latency networks, artificial intelligence (AI), and machine learning (ML). HPC Software Engineer position is accountable for software development to deliver HPC solutions that implement novel, proprietary algorithms and workflows as well as the analysis and performance engineering of existing geophysics algorithms and workflows. The successful candidate is expected to define and execute SW development projects, take ownership of HPC software products and projects and promote and consult on the use of best practices and tools for HPC software development.

Requirements

• Bachelor’s in computer science, computer engineering or similar scientific fields
• Minimum 3 years of SW development experience in C/C++ or similar languages

Nice To Haves

• Parallel programing, MPI, Open MP
• ML / AI development experience

Responsibilities

• Apply AI/ML technologies and techniques to geophysics algorithms and workflows.
• Analysis, development and integration of codes that implement scientific/technical algorithms using appropriate HPC programming techniques, tools and languages including CPU/GPU, MPI, OpenMP, CUDA, and similar on HPC environment such as cluster compute systems.
• Maintain a portfolio of relevant HPC software tools and lead developers in various domain sciences in the appropriate use of these tools to build and run HPC applications.
• Advise users, other developers and HPC infrastructure SMEs on the correct and efficient execution of HPC codes at large scale and high performance.
• Collaboration with other groups, functions and platforms across Chevron on the adoption of common technologies and concepts (enterprise AI, cloud computing, general software engineering, HPC infrastructure).
• Identification of unmet needs for capabilities in existing or emerging application areas of HPC.
• Performance engineering, cloud optimizations, and modernization of existing code bases.
• Porting of existing CPU-based algorithms to GPUs.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees