High Performance Computing Engineer
Polyhedra Network
Other Engineering
San Francisco, CA, USA
Posted 6+ months ago
About Polyhedra Network
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.
About The Role
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.
AI Tool Proficiency Requirements
- 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
What You Will Do
- 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
Required Qualifications
- 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
Preferred Qualifications
- Experience with InfiniBand 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
Technical Skills
- 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
Required Tools & Technologies
- CUDA/ROCm
- MPI
- OpenMP
- Linux/Unix
- Performance profiling tools
- Job scheduling systems
- Version control systems
- C/C++
What We Offer
- Access to cutting-edge HPC infrastructure
- Competitive compensation package
- Professional development opportunities
- Collaboration with leading researchers
- Health and retirement benefits