Staff Engineer Engineering Compute Infrastructure and Grid Operations (Semiconductor)

TL;DR

Staff Engineer Engineering Compute Infrastructure and Grid Operations (Semiconductor): Designing and operating large-scale compute infrastructure for chip design and verification with an accent on grid job management and distributed storage. Focus on improving job reliability, diagnosing system failures, and optimizing I/O performance in high-throughput environments.

Location: Westborough, MA, Austin, TX, or Santa Clara, CA. Must be eligible to access export-controlled information under U.S. export control laws (EAR).

Salary: $128,000 – $189,370 per annum

Company

hirify.global provides essential semiconductor solutions for data infrastructure across enterprise, cloud, AI, and carrier architectures.

What you will do

• Own and evolve grid job management infrastructure for large regressions and high-volume batch workloads.
• Debug and resolve grid job failures, including scheduling issues, hung jobs, and resource starvation.
• Improve job reliability through the implementation of watchdogs, retries, heartbeats, and failure detection.
• Manage shared engineering storage systems, resolving issues related to I/O performance, file contention, and permissions.
• Design and deploy monitoring, logging, and metrics to proactively detect infrastructure problems.
• Act as a technical bridge between engineering users, tools teams, and central IT to translate requirements into improvements.

Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
• 8+ years of experience in compute infrastructure, grid operations, or large-scale engineering environments.
• Strong experience with grid or batch schedulers such as LSF, UGE, Slurm, or PBS.
• Deep Linux systems knowledge, including process management and resource monitoring.
• Experience with shared storage systems including NFS and enterprise filers.
• Strong scripting skills in Python, shell, or similar languages.

Nice to have

• Experience supporting EDA or engineering compute workloads.
• Familiarity with job controller or wrapper-based execution architectures.
• Experience operating environments with thousands of concurrent batch jobs.
• Exposure to cloud or hybrid compute environments.

Culture & Benefits

• Comprehensive benefits covering financial well-being, family support, and mental/physical health.
• Employee stock purchase plan with a 2-year look back.
• Robust mental health resources and family support programs.
• Recognition and service awards to celebrate milestones and contributions.