5 часов назад
Senior Computational Engineer (AI/ML)
86 320 - 154 960$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Computational Engineer (HPC/AI/ML): Designing, deploying, and optimizing scientific applications, computational pipelines, and data-processing workflows for high-performance research computing with an accent on AI/ML workloads, large scientific datasets, and performance optimization. Focus on parallelizing and debugging application code, building scalable computational solutions, and supporting bioinformatics, genomics, imaging, and related scientific research.
Location: Memphis, Tennessee, United States
Salary: $86,320–$154,960 per year
Company
conducts medical research and supports scientific computing for its research mission.
What you will do
- Design, implement, deploy, optimize, and maintain scientific applications, computational tools, visualization tools, libraries, and data-processing pipelines on high-performance computing systems.
- Collaborate with investigators, research staff, stakeholders, subject matter experts, and solution architects to translate research needs into sustainable computational solutions.
- Port, parallelize, test, debug, and enhance application code and scripts for HPC systems, including AI/ML training and inference workloads.
- Develop documentation and training materials for applications, tools, and computational pipelines.
- Evaluate new computing, data-processing, and visualization technologies and help improve HPC utilization through metrics, analysis, and reporting.
Requirements
- Master's degree in computer science, data science, information science, mathematics, or a related field.
- At least 4 years of experience developing, optimizing, or maintaining scientific or computational applications; graduate projects or assistantships may count.
- Working knowledge of scripting and computing languages such as C, C++, Python, R, or MATLAB.
- Knowledge of parallel programming technologies such as OpenMP, MPI, or Pthreads.
- Ability to analyze, debug, tune, optimize, and port scientific application code and deliver complex projects.
- Experience with HPC, AI/ML systems, large scientific datasets, computational workflows, and life-science research is highly preferred.
Nice to have
- PhD in computer science, data science, information science, mathematics, or a related field.
- Experience with bioinformatics, genomics, imaging, structural biology, computational biology, or other data-intensive scientific domains.
- Experience collaborating across disciplines and with researchers to develop computational solutions.
Culture & Benefits
- Work closely with researchers and cross-functional technical teams.
- Support scientific discovery through high-performance and advanced computing technologies.
- Access to employee benefits provided by the research hospital.
- Maintain regular and predictable attendance.
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