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Upscale AI

High-performance AI networking hardware and software

ASIC Design – Principal Engineer

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-timeSanta Clara, CA, USA$250k - $265k /yrIn-person

About the Job

Requirements

  • A Bachelor of Engineering or Master of Science degree in Electrical Engineering, Computer Engineering, or Computer Science.
  • At least 5 years of related technical engineering experience.
  • At least 5 years of industry experience in logic design on complex ASICs.
  • Experience using SystemVerilog for logic design.
  • Understanding of fundamental principles of logic design, clock domain crossing, synthesis, and timing closure.
  • Proficient communication, collaboration, and teamwork skills, and the ability to contribute to diverse and inclusive teams.
  • Ability to thrive or lead in a fast-paced startup environment.

Responsibilities

  • Work closely with the architecture team to define and document micro-architecture on next-generation designs.
  • Perform logic design and RTL entry that meets power, performance, and area targets.
  • Collaborate with design verification and emulation teams to confirm test plans meet architecture and design intent, debug complex test scenarios, and close coverage.
  • Work closely with the physical design team on timing closure and area optimization.
  • Work with the design for test team to integrate design-for-test logic.
  • Work independently, communicate effectively, and collaborate with cross-functional teams.

Desired Qualifications

  • At least 12 years of relevant industry experience and a proven track record of successful tapeouts.
  • Scripting proficiency using Python, Perl, or similar tools.
  • Experience with front-end design tools such as LINT, CDC, and RDC.
  • Exposure to silicon bring-up.
  • Experience analyzing timing, area, and power reports and driving design fixes.
  • Knowledge of verification principles and coverage, and ability to debug complex test cases.
  • Basic understanding of formal verification.
  • Past work experience on high-performance, low-latency networking ASICs.

About the Company

Upscale AI

High-performance AI networking hardware and software

Upscale AI builds a full-stack, high-performance AI networking platform to scale up GPU compute. It designs purpose-built silicon chips and a software orchestration layer that connects thousands of GPUs into a single, unified compute engine. The system is optimized for the heavy data movement and bursty traffic of large language model training and inference, enabling fast, scalable AI workloads. Unlike traditional, vendor-driven networking stacks, Upscale AI offers open-standard networking powered by silicon and software, and participates in consortia like UEC and SONiC to ensure interoperability across different hardware environments. Its customers include global hyperscalers, AI-first enterprises, and sovereign cloud providers who need large-scale, interoperable AI clusters without lock-in. The company’s goal is to democratize AI infrastructure by delivering high-performance, open-standard solutions that let organizations build and operate massive AI clusters more efficiently.

Company size
201-500
Company stage
Series A
Total funding
$490M
Headquarters
Santa Clara, CA
Founded
2024

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