Advisor - GPU Platform Engineering

What You’ll Be Doing

You will be driving the engineering and operations of advanced Linux platforms supporting AI and HPC workloads, managing Nvidia DGX systems using Mission Control, Base Command and Run:

AI, and optimizing Spectrum X networking and WEKA storage for AI/ML applications. You will play a crucial role in boosting productivity for our Advanced Intelligence and Data science teams through implementing advancements across our AI/HPC infrastructure tooling and operational excellence.

You will work in our Infrastructure Hosting Platform area leading the strategy, engineering and development of Advanced Linux computing capabilities for AI/ML. Additionally, you would advise with our senior Linux platform engineer directing the global Linux strategy for on-premises private cloud and public IaaS Linux services.

• Be Bold - You will bring a high learning agility and Infrastructure availability and reliability Engineer skills to help us enable the Lilly Technology strategy, identifying tech opportunities, and accelerate our cloud journey.
• Be Fast - You will accelerate initiatives in areas such as: AI/ML acceleration, Infrastructure AI OPS automation, HPC management, and infrastructure as code to enable critical business projects.
• Be Proactive - You will have groundbreaking chances to build secure, resilient, and reliable hybrid cloud services using proactive, predictive, and automated capabilities.
• Be Your Best - You will learn about new technologies, AI/ML based HPC, large scale GPU clustering, Infrastructure as Code, and Enterprise Scale Hyper Cloud providers, agile ways of working, and willingness to become an expert.

• Expertise in Linux system administration, HPC environments, and Nvidia DGX server management. Experience with Spectrum X networking and parallel file systems is essential. Strong scripting skills and familiarity with containerization and automation tools are highly valued.
• 6+ years of demonstrated experience in AI/ML and HPC workloads and infrastructure.
• Hands‑on experience in using or operating High Performance Computing (HPC) grade infrastructure as well as in‑depth knowledge of accelerated computing (e.g., GPU), storage (e.g., Weka), scheduling & orchestration (e.g., Slurm, Kubernetes, LSF), high‑speed networking (e.g., Ultra‑Ethernet, RoCE), and containers technologies (Docker).
• Passion for continual learning and keeping abreast of new technologies and effective approaches in the AI/ML infrastructure field.
• Expertise in running and optimizing large‑scale distributed training workloads using PyTorch (DDP, FSDP), NeMo, or JAX. Also, possess a deep understanding of AI/ML workflows, encompassing data processing, model training, and inference pipelines.
• Some proficiency in at least one scripting language such as Bash, Python, or equivalent.

• Bachelor’s degree in computer science, Information Technology, or related technical field.
• 7+ years’ experience as a Linux OS/ Platform Engineer.
• Demonstrated experience leading a global large‑scale Infrastructure project.

Hybrid role located in Indianapolis, IN (relocation required)

5% travel

Lilly IT builds and maintains capabilities using cutting edge technologies like most prominent tech companies. What differentiates Lilly IT is that we redefine what’s possible through tech to advance our purpose – creating medicines that make life better for people around the world, like data driven drug discovery and connected clinical trials. We hire the best technology professionals from a variety of backgrounds, so they can bring an assortment of knowledge, skills, and diverse thinking to deliver innovative solutions in every area of our business.

The Global Information and Services Tech team is at the forefront of digitalization to enable and advance the entire company, with increased productivity and best‑in‑class Customer experiences. This team provides a robust and sustainable infrastructure of hardware, software and services that are critical to enable our global workforce and business to operate and transform. As leaders in technology and understanding…