Architect, HPC and AI Future Systems Performance Engineering

Architect, HPC and AI Future Systems Performance Engineering

  

This role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know diverse backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

   

We are seeking a highly skilled and motivated HPC and AI Performance Architect to join our dynamic team. This is a technical role that requires a deep understanding of high-performance computing, AI systems, and emerging technologies. You will collaborate with cross-functional teams to design, optimize, and scale HPC and AI infrastructures, ensuring they meet the growing demands of our business.

The successful candidate will play a key role in driving innovation, with a direct impact on business outcomes. You will influence the future of our HPC and AI strategy by developing performance-optimized systems, improving workflows, and contributing to both hardware and software advancements.

Key Responsibilities:

• System Performance Optimization: Analyze and optimize the performance of HPC and AI workloads across a range of hardware architectures (e.g., GPUs, CPUs, accelerators) and software environments (e.g., AI frameworks, HPC applications).
• Infrastructure Design & Development: Lead efforts to design and deploy next-generation HPC and AI platforms, ensuring scalability, performance, and efficiency.
• Collaboration & Stakeholder Engagement: Work closely with engineering, data science, research, and IT teams across the organization to identify opportunities for system improvements and support the delivery of cutting-edge solutions.
• Benchmarking & Tuning: Perform rigorous benchmarking and tuning of HPC and AI systems, identifying bottlenecks and implementing solutions to maximize performance.
• Software Optimization: Collaborate with software developers to optimize code, ensuring efficient use of HPC and AI hardware, including memory management, parallelism, and data access patterns.
• Emerging Technologies & Trends: Stay ahead of the latest developments in HPC, AI hardware, and software, and incorporate emerging technologies and methodologies into the system design and architecture.
• Business Impact: Align technical efforts with business objectives, ensuring that HPC and AI infrastructure investments deliver measurable performance gains that impact overall business outcomes.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Applied Mathematics, or a related field. Masters degree or PhD in related field is preferred.
• 15+ years of experience in performance engineering/development across HPC and AI domains.
• 5+ years of experience steering technical direction and innovation.
• 3+ years of hands on development and innovation in AI.
• Holds patents and/or technical publications.
• Technical Expertise:
  • Deep knowledge of HPC and AI systems, architectures, and performance tuning.
  • Proficiency in parallel computing, GPU/CPU optimizations, and AI/ML frameworks (e.g., TensorFlow, PyTorch, MPI, OpenMP).
  • Experience with performance profiling, benchmarking tools (e.g., VTune, Perf), and debugging techniques.
• Programming Skills: Strong programming and scripting skills in C/C++, Python, Fortran, or similar languages.
• System Experience: Familiarity with HPC job schedulers (e.g., Slurm, PBS), containerization (e.g., Docker, Singularity), and distributed computing environments.
• Analytical Mindset: Strong problem-solving skills with the ability to analyze complex systems and devise creative optimization solutions.
• Collaboration Skills: Excellent interpersonal and communication skills, with the ability to work effectively in a collaborative, multi-disciplinary environment.