Optical Test Engineer (AI)

Location: Santa Clara, California

Company

hirify.global develops next-generation optical and systems solutions for large-scale AI infrastructure, drawing on expertise in silicon design, systems engineering, network operations, and cloud infrastructure.

What you will do

• Set up and maintain laboratory test environments using BERTs, power meters, oscilloscopes, and traffic generators.
• Automate laboratory workflows with Python.
• Qualify and characterize high-speed optical transceivers across temperature, voltage, traffic, configuration, and workload conditions.
• Validate optical module performance in switch ASIC systems and AI networking environments, measuring BER, power consumption, thermal stability, and link reliability under stress.
• Troubleshoot signal integrity degradation, module misbehavior, and unexpected power or thermal behavior.
• Collaborate with cross-functional teams on root-cause analysis.

Requirements

• B.S. or M.S. in Electrical Engineering, Optical Engineering, Physics, or a related field.
• 5+ years of experience testing optical modules or electrical/optical systems.
• Hands-on experience with high-speed optical transmission testing, including fiber links, and test equipment such as BERTs, oscilloscopes, DCAs, power meters, OSAs, and thermal chambers.
• Strong Python scripting skills for laboratory automation and programming experience for data collection and analysis.
• Familiarity with CMIS, MDIO, or I²C interfaces.
• Understanding of high-speed protocols such as Ethernet, PCIe, or SerDes.
• Ability to work in a fast-paced startup environment and adapt to evolving priorities.

Nice to have

• Industry experience with 400G, 800G, or 1.6T pluggable modules, including QSFP-DD and OSFP.
• Knowledge of IEEE 802.3 Ethernet, MSA, or OIF standards, including CMIS.
• Experience validating hardware in datacenter or AI cluster environments.
• Familiarity with environmental and reliability testing, including temperature cycling and HTOL.

Culture & Benefits

• Work in a fast-paced startup environment.
• Contribute to next-generation AI infrastructure and advanced datacenter networking systems.