Intelligent Data Infrastructure Engineer (AI)

Location: San Jose, California, United States

Salary: $196,350–$292,600 per year, depending on location, qualifications, experience, and education.

Company

hirify.global provides intelligent data infrastructure, unified storage, integrated data services, and cloud solutions for enterprise and AI workloads.

What you will do

• Design and develop core infrastructure software for storage, data management, caching, metadata services, and distributed systems.
• Build high-performance and reliable software in C, C++, and Python.
• Develop data movement, replication, protection, and lifecycle management capabilities.
• Design infrastructure supporting AI/ML pipelines, LLM training and inference, and RAG workloads.
• Collaborate with hardware, platform, networking, and cloud engineering teams on end-to-end infrastructure solutions.
• Optimize performance through profiling, benchmarking, low-level optimization, automated testing, observability, and reliability engineering.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.
• 12+ years of experience developing systems software, operating systems, storage platforms, or distributed infrastructure.
• Expert-level programming skills in C/C++ and Python.
• Strong knowledge of operating systems, memory management, multithreading, concurrency, networking, distributed systems, and performance optimization.
• Experience developing software on Linux, with strong debugging and performance analysis skills.
• Work based in San Jose, California, United States.

Nice to have

• Experience with storage systems, file systems, object storage, distributed data platforms, or cloud infrastructure.
• Knowledge of AI infrastructure, GPU clusters, and large-scale AI data pipelines.
• Experience with Rust or Go.
• Familiarity with Kubernetes, containers, and cloud-native architectures.
• Experience using AI coding assistants and autonomous AI agents.

Culture & Benefits

• Hybrid working environment with in-office and in-person expectations communicated during the recruitment process.
• Health insurance, life insurance, retirement or pension plans, paid time off, and leave options.
• Performance-based incentives, employee stock purchase plan, and/or restricted stock units, subject to regional variations.
• Flexible working practices supporting work-life balance.
• Collaborative culture focused on initiative, impact, ownership, and cross-functional innovation.

Hiring process

• Applications are reviewed only when submitted through the company website.
• Some stages for selected roles may use AI tools to support application evaluation and candidate selection.