Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Sr Principal CAD & HPC Workflow Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate, and advance faster than ever. Position Overview Micron is seeking a Senior Principal CAD Engineer to help shape the engineering environment that powers Memory product development across DRAM, HBM, NAND, and custom memory programs. In this high-impact technical role, you will partner with Micron’s CAD Software and HPC teams to architect, modernize, and scale the platforms our worldwide design teams rely on every day, from CAD software infrastructure, project setup flows, and quality-gating solutions to engineering automation and compute workload scalability. You will also define how success is measured. By developing improvement and quality metrics for job management and workflow performance, you will establish customer-facing service levels that give design teams clear visibility into the performance of their environment and give engineering leaders a data-driven path to continuous improvement. Along the way, you will help bring next-generation AI and agentic software solutions into Design Automation, working closely with CAD, Design Engineering, HPC, and EDA vendors. Key Responsibilities Serve as a senior engineer partnering with the CAD Software and HPC team
Senior HPC Storage Engineer - EDA Infrastructure
Salary not disclosed
Check market pay for comparable Senior HPC Storage Engineer roles before applying.
Role overview
Job description
As a member of the HW Infrastructure Storage Strategy team, you will be the bridge between storage infrastructure and the chip design (e.g. NVIDIA GPUs and CPUs) workloads that depend on it. You will focus on going hands-on to understand how storage behavior impacts EDA (Electronic Design Automation) and HPC workload performance in general — and what to do about it. You’ll evaluate next-generation storage technologies, design POCs grounded in real workload profiles, uncover gaps in observability, and drive strategic decisions like data placement during datacenter transitions.
This is a rare role where you’ll work at the intersection of storage systems and chip design workflows at a scale few companies reach — petabytes of active data, millions of files per job, and thousands of concurrent users. You’ll develop NVIDIA’s storage strategy and have a direct, measurable impact on engineering velocity.
What you'll be doing:
- Lead storage technology evaluations — design and execute POCs for platforms such as NetApp, VAST, and others, using real EDA workload profiles to benchmark performance, metadata behavior, and compatibility
- Analyze how storage configurations and architecture choices impact EDA workload runtime in production, and recommend tuning or architectural changes to reduce job execution time
- Identify gaps in storage telemetry and observability — define what metrics are needed and how to correlate storage behavior with jobs running on the environment
- Support datacenter lifecycle programs — expansions, technology refreshes, and site exits — by mapping workload placement, identifying required data, and minimizing data replication scope
- Define storage policies and best practices — data lifecycle, tiering strategies, snapshot/clone workflows (e.g., FlexClone for EDA workspace branching), and capacity planning recommendations
- Collaborate with IT, EDA tool teams, EDA operations, and networking to translate workload requirements into storage architecture guidance
- Investigate storage-related issues affecting production workloads — characterize the impact, identify causes, and recommend preventive measures or design changes
- Contribute to NVIDIA’s storage strategy and roadmap for next-generation compute, AI workloads, and cloud-hybrid infrastructure
What we need to see:
- Bachelor’s degree in Computer Science, Electrical Engineering, or related field (or equivalent experience)
- 8+ years of experience with large-scale NFS and networked storage systems in Linux environments
- Hands-on experience with at least one enterprise or HPC storage platform (NetApp, VAST, Pure, Lustre, GPFS, Ceph, Weka)
- Strong Linux systems skills and storage performance analysis — ability to characterize how storage behavior affects workload outcomes
- Proficient in Python and Bash scripting for automation and tooling
- Experience with cloud-based storage solutions (GCP Filestore, NetApp Cloud Volumes, AWS FSx, or similar)
- Experience with observability and metrics collection systems — building or leveraging dashboards, telemetry pipelines, and alerting to monitor storage health and performance (e.g., Prometheus, Grafana, Netdata, or similar)
Ways to stand out from the crowd:
- Experience with EDA infrastructure or semiconductor design workflows and their unique storage I/O patterns
- Familiarity with enterprise storage features such as instant clones, snapshots, caching tiers, and data tiering policies (e.g., NetApp FlexClone/FlexCache or equivalent)
- Experience correlating infrastructure telemetry with workload performance — e.g., tying storage metrics to job scheduler data (LSF, Slurm)
- Background in datacenter migration planning, capacity modeling, or data placement strategy at multi-petabyte scale
- Experience with container technologies (Docker, Enroot)
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s motivated by great technology—and outstanding people. Widely considered to be one of the technology world’s most desirable employers, NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery and powers what were once science fiction inventions from artificial intelligence to autonomous cars.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.What they are looking for
Skills & requirements
Hiring company
NVIDIA
We create the world’s fastest supercomputer and largest gaming platform.
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