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Position Summary:
We have an exciting opportunity to join our team as a Machine Learning Engineer.

The New York University Langone Health Research IT High-Performance Computing (HPC) Group has an immediate opening for a Machine Learning Engineer. In this pivotal role, the incumbent will have an opportunity to contribute his/her talents to the growing and mission-critical effort within Langone of bringing state-of-the-art HPC capabilities to the fingertips of our researchers and clinicians.

Job Responsibilities:

• Deploy applications for the HPC research software stack to make sure that hardware and software layers interface properly
• Help end users with HPC activities within the MCIT infrastructure
• Work with MCIT departments complete projects and diagnose issues within the infrastructure
• Monitor, identify, repair any issues with HPC system environment
• Perform other tasks as assigned by the Director, Langone HPC
• Perform HPC systems administration tasks
• Work with vendors to support and maintain the HPC environment
• Actively participate in various forms of customer support including ticket based troubleshooting and working with individual users on runtime and code debugging/profiling/optimization tasks
• Provide user training and develop reference materials for using applications
• Develop performance metrics and instruments to gather information about research derivatives enabled by Langone HPC
• Develop in-house software for systems usage monitoring, statistics gathering, and various accounting activities
• Implement hardware solutions and create software platforms for collaborative activities both within and outside of NYUMC
• Optimize runtime environments and design pathways for most efficient execution of jobs in Langone HPC environment
• Provide hands-on systems integration support
• Engage in software performance engineering activities to ensure that HPC environment is being used efficiently

Minimum Qualifications:
To qualify you must have a 1) Demonstrated understanding of HPC engineering and systems administration
2) Advanced skills in Linux/UNIX systems, programming, and in distributed memory computer cluster systems administration on HPC platforms
3) Familiar with large-scale parallel file systems
4) Thorough knowledge of a wide spectrum of HPC technologies

Preferred Qualifications:

1. Demonstrated expertise in integrating complex hardware and software solutions in HPC environment2) Proven ability to debug, profile, and optimize complex parallel scientific codes
2. Proficiency in managing parallel file systems and Object Store solutions
3. Expert knowledge of advanced networking technologies including switched fabric computer cluster interconnect technologies such as InfiniBand and OmniPath5) Demonstrated knowledge of MPI programing and MPI implementation on distributed memory computer clusters
4. Extensive knowledge of HPC resource managers and schedulers, in particular LSF and SLURM workflow managers
5. Demonstrated expertise with GPGPUs and other accelerator technologies; proficiency in CUDA and OpenCL programming
6. In-depth knowledge of scientific software libraries
7. Knowledge of virtualization; familiarity with OpenStack or other private/public cloud technologies

Qualified candidates must be able to effectively communicate with all levels of the organization.

NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents.

NYU Grossman School of Medicine is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. We require applications to be completed online.
If you wish to view NYU Grossman School of Medicine's EEO policies, please click here. Please click here to view the Federal "EEO is the law" poster or visit https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm for more information.

NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $117,107.95 - $195,179.92 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

To view the Pay Transparency Notice, please click here

Required Skills

Required Experience