Hardware Analytics Engineer (AI Hardware)

Location: Hybrid position based at 1237 E Arques Avenue, Sunnyvale, California; telecommuting permitted.

Salary: $213,675–$225,000 per year

Company

hirify.global builds large-scale AI chip and computing platforms for high-speed model training and inference.

What you will do

• Design and optimize scalable data pipelines and ETL frameworks for multi-terabyte hardware telemetry and performance data.
• Build hardware performance analysis, anomaly detection, monitoring, and visualization systems using Python, SQL, Tableau, Hive, and Spark.
• Lead hardware characterization experiments and thermal and cooling A/B studies to evaluate operational limits, reliability, and efficiency.
• Define and maintain hardware efficiency and reliability metrics, perform root cause analysis, and develop optimization recommendations.
• Collaborate with hardware, firmware, and datacenter operations teams to troubleshoot failures and isolate defective components.
• Support next-generation AI platforms and silicon products across CPU, GPU, DRAM, PCIe, networking, and storage subsystems.

Requirements

• Master’s degree or foreign equivalent in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• At least 3 years of experience as a Hardware Analytics Engineer, Hardware Engineer, Data Engineer, or in a related occupation.
• Experience with large-scale data pipeline architecture, ETL, distributed data processing, and dashboard development.
• Proficiency in Python, SQL, Tableau, Linux, and automation scripting.
• Experience designing, training, and deploying machine learning models for hardware performance optimization and failure prediction.
• Knowledge of predictive modeling, statistical analysis, A/B testing, anomaly detection, data visualization, and hardware reliability modeling.

Culture & Benefits

• Work on an AI platform designed to go beyond GPU-based computing.
• Opportunity to contribute to AI research and open-source projects.
• Work with high-performance AI computing systems and next-generation silicon products.
• Startup vitality combined with job stability.
• Non-corporate culture focused on individual beliefs, learning, growth, and inclusion.