Job Details

About Polyhedra Network

About The Role

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