High Performance Computing Engineer

High Performance Computing Engineer

San Francisco Bay Area

We are pioneering advanced computational solutions requiring massive computational power and sophisticated optimization. Our HPC team designs and implements cutting-edge solutions that push the boundaries of computational performance.

We're seeking a High Performance Computing Engineer with deep expertise in parallel computing and heterogeneous architecture optimization. The ideal candidate will have extensive experience with CUDA/ROCm, MPI, and large-scale system optimization.

Advanced expertise in using AI coding assistants for HPC code generation and optimization

Demonstrated ability to leverage AI tools for performance debugging and analysis

Experience using AI systems for parallel algorithm implementation and optimization

Strong proficiency in using AI to accelerate development workflows

Ability to effectively combine AI-generated solutions with manual optimization

Experience using AI tools for code review and quality assurance

Design and optimize high-performance computing applications for large-scale clusters

Implement and tune parallel algorithms across distributed systems

Develop efficient CUDA/ROCm implementations for computational kernels

Create and maintain MPI-based distributed computing solutions

Optimize memory access patterns and communication protocols

Profile and analyze performance bottlenecks in distributed systems

Implement efficient linear algebra and scientific computing routines

Manage and optimize job scheduling and resource allocation

Design and implement fault tolerance and recovery systems

Collaborate with research teams to optimize computational workloads

M.S. or Ph.D. in Computer Science, Engineering, or related field from a top-tier university

Expert knowledge of parallel programming models (MPI, OpenMP)

Advanced expertise in CUDA or ROCm programming

Strong proficiency in C++ and parallel algorithm implementation

Deep understanding of computer architecture and memory hierarchies

Expert-level knowledge of Linux/Unix environments

Experience with large-scale cluster management

Experience with Infini Band and high-speed interconnects

Knowledge of scientific computing libraries (BLAS, LAPACK)

Expertise in vectorization and SIMD optimization

Background in distributed algorithms

Experience with performance modeling and prediction

Familiarity with job scheduling systems (Slurm, PBS)

Experience with container technologies for HPC

ACM-ICPC Regional or World Finals medalist

USACO (USA Computing Olympiad) Gold/Platinum award

Top-tier algorithmic competition achievements

Advanced parallel programming techniques

Proficiency in performance optimization tools

Strong debugging and profiling skills

Expertise in distributed computing concepts

Knowledge of network topology and optimization

Experience with scientific computing applications

CUDA/ROCm

MPI

OpenMP

Linux/Unix

Performance profiling tools

Job scheduling systems

Version control systems

C/C++

Access to cutting-edge HPC infrastructure

Competitive compensation package

Professional development opportunities

Collaboration with leading researchers

Health and retirement benefits