Level

Novartis

Assoc. Dir. DDIT IES - HPC Infrastructure Sr. Engineer

AI in this role

Job Description Summary

The HPC Infrastructure Services (Senior) Engineer executes and ensures service deployments and management to enable modern delivery flows of High-Performance Computing solutions.


 

Job Description

Job Description

Major accountabilities:

  • High Performance Computing (HPC) Specialist for Novartis Core Infrastructure Services team performs the operational health deployment and lifecycle of HPC technology
  • Designs innovative solutions utilizing projects and qualification frameworks to run and optimize our complex infrastructures.
  • Act as technical and organizational escalation point during major and critical incidents.
  • Responsible to track suppliers and partner for effective and efficient delivery of projects
  • Contributes to service / platform strategy development

Commitment to Diversity & Inclusion: We are committed to building an outstanding, inclusive work environment and diverse teams, representative of the patients and communities we serve.

What you’ll bring to the role

  • 6+ years’ IT experience, of which at least 3 in an HPC/scientific computing environment
  • Associate's degree in computer science or related field, or equivalent industry experience
  • Experience designing and building infrastructure within a public cloud platform (e.g. AWS, GCP or Azure) as they relate to HPC workloads
  • Hands-on experience with system administrative task in Linux environment, and fluency in scripting (shell scripting in bash required, Python knowledge would be advantageous)
  • Can build software from sources including knowledge of build systems (e.g. Make, CMake...)
  • Extensive knowledge of one or more HPC scheduling mechanisms (e.g. Grid Engine, Slurm, LSF... etc.)
  • Extensive knowledge of one or more HPC cluster management software packages (e.g. Bright Cluster Manager / Base Command Manager, xCat, OpenHPC… etc.)
  • Solid knowledge of computer architectures and multi-threaded/parallel processing applications
  • Hands-on knowledge of network- and distributed filesystems (e.g. NFS, GPFS, Gluster, BeeGFS, Lustre or other parallel file systems, etc.)
  • Worked in environments with high speed / low latency network (e.g. InfiniBand)
  • Strong knowledge of Unix systems performance tuning
  • Experience with shared memory and/or GPU and/or distributed memory computation jobs
  • Working knowledge of DevOps (e.g. Ansible, Chef, CICD etc.) tools and practices
  • Desired: experience setting up, maintaining, and tuning infrastructure for AI/ML workloads
  • Desired: experience with HPC infrastructure supporting a scientific / research / pharmaceutical / bioinformatics / cheminformatics environment
  • Exceptional service orientation, excellent problem-solving abilities, keen attention to detail.
  • Fluent English speaker


 

Skills Desired

Communication Skills (Inactive), Information Technology (IT) Infrastructure, Information Technology Operations, IT Service Management (ITSM), Problem Solving Skills (Inactive), System Integration, Vendor Management

How we score this

Assoc. Dir. DDIT IES - HPC Infrastructure Sr. Engineer at Novartis scores 16 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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