AI Silicon, Silicon Validation Engineer

Unconventional, Inc.•Palo Alto, CA

6h•Onsite

About The Position

As a Member of Technical Staff, Silicon Validation Engineer, you will be a foundational member of our small, multi-disciplinary R&D team. We are looking for accomplished and highly motivated individuals who are excited to tackle the hardest, most ambiguous technical challenges at the intersection of AI, physics, and computer architecture. You will be responsible for driving the post-silicon bring-up, validation, and characterization of the core components of our novel computing platform.

Requirements

B.S. or M.S. in Electrical Engineering, Computer Engineering, or a related field.
5+ years of industry experience in post-silicon bringup-up, hardware validation, or silicon characterization.
Familiarity with operating lab test equipment (oscilloscopes, logic analyzers, power analyzers, etc).
Demonstrated proficiency in characterizing and debugging mixed-signal circuits.
Experience with Python programming and lab automation.
Excellent written and verbal communication skills.

Nice To Haves

Experience evaluating the performance tradeoffs of current neural network architectures.
Experience with correlating mixed-signal measurements on silicon to simulation models.
Understanding of hardware/software co-design concepts for machine learning inference or training.
Familiarity with FPGA emulation and RTL simulation to leverage pre-silicon verification for post-silicon bring-up.
Familiarity with AI automation.

Responsibilities

Lead the initial power-on and bring-up of new silicon prototypes and hardware platforms in the lab.
Evaluate and benchmark the functionality, performance, and power consumption of complex mixed-signal circuits to ensure alignment with design specifications and simulation models.
Utilize lab test equipment, such as oscilloscopes, logic analyzers, and power analyzers, to identify, triage, and solve anomalies across silicon, board, and software.
Design and maintain Python-based automation frameworks to accelerate characterization throughput, test repeatability, and data reporting.
Collaborate with the System Modeling and both Analog and Digital Design teams to define validation requirements, interpret simulation-to-silicon correlation, and drive root-cause analysis.