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HPC and AI Performance Engineer - HPE Hybrid Houston
Lead performance benchmarking for HPE and competing HPC and AI architectures across compute, networking, memory, storage, and software. Optimize demanding workloads and turn repeatable results into practical recommendations for customers and technical teams.
संयुक्त राज्य
मिनेसोटा
टेक्सास$1,05,500 – $2,43,000 / वर्ष
हाइब्रिडपूर्णकालिकमध्य स्तरवरिष्ठआवश्यक भाषा: अंग्रेज़ीकृत्रिम बुद्धिमत्ताविवरण
- Lead HPC and AI benchmarking initiatives across CPU, GPU, networking, memory, and storage platforms
- Assess HPE and competing architectures through performance models and benchmark evidence
- Execute and evaluate scientific, engineering, LLM, AI training and inference, storage, and I/O workloads
- Diagnose bottlenecks and improve applications, AI frameworks, libraries, compilers, runtimes, and system software
- Use parallel computing, GPU acceleration, profiling, and memory and I/O optimization techniques
- Produce reliable, repeatable performance results that support HPE HPC and AI solutions
- Communicate technical conclusions to engineering teams, customers, and business stakeholders
आवश्यकताएँ
- At least 6 years of experience with HPC and AI workloads, including scientific and engineering applications, MLPerf, large language models, AI training and inference, storage benchmarks, and performance-profiling tools
- Strong understanding of HPC and AI architectures spanning CPUs, GPUs, accelerators, memory, networking, storage, and software stacks
- Knowledge of parallel and distributed programming methods, including MPI, OpenMP, OpenSHMEM, and algorithm design
- Ability to lead complex HPC and AI performance engagements and convert findings into customer-oriented recommendations
- Proven ability to analyze and optimize computational applications and benchmarks on Linux systems
- Experience with C, C++, Fortran, Python, Linux scripting, compilers, MPI, MPI-IO, OpenMP, and AI frameworks and libraries
- Experience working with NVIDIA GPUs and AMD Instinct MI-series accelerators
- Experience with CUDA, HIP, OpenMP target offload, OpenACC, or comparable programming models
- Experience using performance profiling, tracing, and debugging tools on Linux systems
- Ability to interpret benchmark data, locate performance constraints, and propose improvements
- Strong analytical and problem-solving abilities
- Strong written and spoken communication skills
- Professional proficiency in English
- Master’s degree in computer science, engineering, mathematics, physics, chemistry, environmental science, or a related technical discipline
लाभ
- Comprehensive benefits designed to support physical, financial, and emotional wellbeing
- Programs supporting personal and professional growth
- Flexible work options that accommodate professional and personal responsibilities
- An inclusive workplace culture
- Hybrid working arrangement
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