8 дней назад
High Performance Computing (HPC) AI Engineer
101 494 - 140 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
High Performance Computing (HPC) AI Engineer (AI/HPC): Deploying and optimizing HPC software stacks, AI frameworks, model-serving environments, and scalable research infrastructure across supercomputers and GPU clusters with an accent on parallel storage, systems administration, and AI workload performance. Focus on benchmarking applications, integrating enterprise AI platforms, optimizing resource scheduling, and supporting biomedical researchers with complex computational needs.
Location: United States; role based at the NYU Grossman School of Medicine HPC Facility.
Salary: $101,493.51–$140,000 annually.
Company
is an academic medical and research institution focused on medical education, scientific research, and direct patient care.
What you will do
- Deploy, manage, and optimize HPC development tools and software stacks for machine learning, deep learning, and data science.
- Integrate HPC systems with enterprise AI frameworks and manage scalable AI model hosting and serving environments.
- Benchmark, troubleshoot, and optimize AI application performance across supercomputers, GPU clusters, and other hardware.
- Deliver training sessions, tutorials, and workshops on AI development, deployment, and optimization in HPC environments.
- Document AI development workflows, tools, and best practices while collaborating with researchers, principal investigators, and software engineers.
- Monitor job queues and system performance, optimize resource allocation, and advise researchers on computational needs and project execution.
Requirements
- Bachelor’s degree and 5 years of relevant experience.
- Experience with parallel storage engineering, systems administration, large-scale parallel file systems, and storage tiering.
- Experience with SMB and NFS network storage protocols.
- Advanced knowledge of Linux/UNIX, Bash scripting, and scripting languages such as Python or Lua.
- Extensive knowledge of Ethernet, InfiniBand, and Fibre Channel networking.
- Effective communication with researchers, technical staff, and organizational stakeholders.
Nice to have
- Experience supporting AI-driven research computing in biomedical, life sciences, or clinical environments.
- Familiarity with large language models, fine-tuning, and retrieval-augmented generation pipelines.
- Knowledge of security practices for handling protected health information when training or hosting models.
Culture & Benefits
- Comprehensive employee benefits and wellness programs.
- Financial security benefits, retirement support, and a generous time-off program.
- Employee resource groups and support for employees and their families.
- Wellness resources covering physical, mental, nutritional, sleep, social, financial, and preventive care.
- Equal opportunity employment and an inclusive workplace.
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