Staff Engineer - High Performance Computing

4w1 month ago

Pfizer

US · Full-time · $124,400 – $207,400

About this role

Pfizer is committed to the application of computational science in drug discovery and development, and has initiated a large-scale migration of computational infrastructure to the cloud. This role provides technical vision and drives the execution of high-performance computing (HPC) solutions that support computational workloads across the organization.

You will lead the technical architecture of the cloud HPC platform, establishing go-forward computing technologies and implementing robust engineering practices. Day-to-day, you will champion infrastructure as code (IaC), configure core services for HPC at scale, and perform troubleshooting, system analysis, and benchmarking to maintain a high-performance environment.

You will work closely with HPC engineers and scientific computing specialists to develop robust, scalable, high-performance cloud native infrastructure. Collaboration with stakeholders, users, and leaders is key to developing a long-term technical roadmap for cloud-based HPC services, and you will lead deep-dive discussions with technical partners at major cloud providers.

This role offers the opportunity to drive a culture of shared ownership, transparency, and engineering excellence through mentoring and coaching. You will recommend cutting-edge HPC technologies, including specialized accelerators and novel storage solutions, directly shaping the modernization of Pfizer's scientific computing platform.

Requirements

Experience leading technical architecture of cloud HPC platforms.
Expertise in infrastructure as code (IaC) tools such as Terraform and CloudFormation.
Deep knowledge of high-performance computing technologies including specialized accelerators, parallel file systems, and job schedulers.
Proven ability to design and manage high-throughput, parallel, low-latency infrastructure for HPC and ML/AI workloads.
Experience with multiple cloud environments, particularly AWS and GCP.
Strong background in OS image development and configuration management for HPC clusters.
Ability to perform system analysis, benchmarking, and troubleshooting of escalated, difficult-to-resolve issues.
Experience mentoring engineers and driving a culture of shared ownership and engineering excellence.

Responsibilities

Lead development and operationalize cloud-based HPC infrastructure for research, modeling, and large-scale data processing across multiple cloud environments.
Serve as primary technical expert to evaluate, advocate for, and drive consensus on go-forward technology platforms and toolkits for HPC service delivery.
Design and own robust, high-throughput, parallel, low-latency infrastructure for HPC and ML/AI workloads in AWS and GCP.
Establish technical standards, best practices, architectural frameworks, and implementation guidelines for reproducible HPC platform and application deployments.
Own OS image development, job scheduler configuration, and high performance storage systems.
Drive adoption of infrastructure automation using IaC tools like Terraform and CloudFormation.
Establish and enforce internal standards for naming, tagging, documentation, version control, and change procedures to ensure repeatable environment provisioning and scaling.
Lead deep-dive discussions with technical partners at major cloud providers to define HPC-related requirements and deliverables for Statements of Work.

Benefits

Opportunity to shape the modernization of Pfizer's scientific computing platform.
Work with cutting-edge HPC technologies including specialized accelerators and novel storage solutions.
Collaborate with technical partners at major cloud providers (AWS/GCP).
Lead a high-impact migration of computational infrastructure to the cloud.
Drive innovation in drug discovery and development through computational science.