Senior Hardware Engineer (AI Infrastructure)

Location: Saratoga, California, United States

Company

hirify.global is a Silicon Valley hardware startup developing AI data-center infrastructure, including high-bandwidth network switching systems designed to improve GPU utilization, performance, reliability, and deployment efficiency.

What you will do

• Deliver hardware systems and sub-assemblies from concept through production release.
• Translate high-level concepts into detailed hardware specifications and architect designs against functional, quality, compliance, cost, and schedule targets.
• Develop technology de-risking plans through supplier evaluations and early prototypes.
• Collaborate with architecture, semiconductor, software, manufacturing teams, and external partners through schematic entry, layout, and manufacturability reviews.
• Create comprehensive EDVT, MDVT, and EMI/EMC test plans to qualify designs.
• Validate hardware prototypes in the laboratory using analyzers and high-speed oscilloscopes.

Requirements

• Bachelor’s degree in Electrical Engineering or Computer Engineering; a master’s degree is preferred.
• At least 10 years of system-level development experience, preferably in server, computer, or networking industries.
• Experience designing and validating systems with standards-based optical interfaces such as SFP+ and QSFP+.
• Proficiency with high-speed technologies including Ethernet, SerDes, and PCIe.
• Strong understanding of high-speed design, signal integrity, and power integrity.
• Experience with MDIO, SPI, I2C, JTAG, FPGA design, power circuits, clocking, and mechanical/thermal considerations, plus a record of shipping hardware products.

Culture & Benefits

• Work on AI infrastructure technology intended to improve the performance of AI data centers.
• Collaborate with an experienced engineering team spanning silicon, packaging, optics, software, and systems.
• Contribute directly to hardware products from definition and design through qualification and release.
• Base salary is determined according to skills, experience, qualifications, work location, market trends, and comparable employee compensation.