HPC / AI Software Infrastructure Lead (AI)

TL;DR

HPC / AI Software Infrastructure Lead (AI/HPC): Architecting and scaling the next generation of AI/HPC infrastructure for semiconductor inspection with an accent on distributed systems, GPU computing, and real-world AI workloads. Focus on unifying image processing with Deep Learning pipelines and optimizing performance across compute, storage, and networking layers.

Location: Must be based in Ann Arbor, MI, USA

Salary: $151,100 - $256,900

Company

hirify.global is a global leader in diversified electronics for the semiconductor manufacturing ecosystem, focusing heavily on innovation and R&D.

What you will do

• Lead the architecture and development of large-scale HPC and AI infrastructure for image processing and ML workloads.
• Design scalable distributed systems that unify traditional image processing with modern AI/Deep Learning pipelines.
• Drive GPU-accelerated computing strategies (CUDA, ROCm) to optimize performance across compute, storage, and networking layers.
• Partner cross-functionally with hardware, algorithms, and product teams to deliver robust, production-ready platforms.
• Establish engineering best practices for code quality, CI/CD, and observability for mission-critical systems.
• Mentor and develop engineers, providing technical guidance and coaching for growth.

Requirements

• 10+ years in software engineering, including leading and scaling technical teams.
• Proven success building distributed systems in HPC, AI/ML, or cloud-native environments.
• Deep understanding of parallel computing, Linux systems programming, and distributed systems.
• Strong programming skills in C++, Python, or similar systems-level languages.
• Experience with GPU computing (CUDA, ROCm) and modern AI frameworks (PyTorch, TensorFlow).
• Required: Ability to work onsite in Ann Arbor, MI.

Nice to have

• Background in image processing, computer vision, or scientific computing.
• Experience supporting hybrid HPC + AI workloads in production environments.

Culture & Benefits

• Opportunity to work on real-world AI systems at scale in a deeply technical environment.
• Comprehensive health benefits including medical, dental, and vision.
• 401(k) with company matching and Employee Stock Purchase Program (ESPP).
• Professional growth support through tuition reimbursement and development programs.
• Paid time off, company holidays, and family care and bonding leave.