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Upscale AI

High-performance AI networking hardware and software

Design Verification Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeSanta Clara, CA, USA$212k - $246k /yr

About the Job

Requirements

  • A Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field with 10 or more years of industry experience, or a Master's degree with 7 or more years of relevant experience.
  • Proven experience verifying complex ASIC designs at both block and system levels.
  • Strong proficiency with SystemVerilog and the Universal Verification Methodology (UVM).
  • Extensive knowledge of ASIC design verification methodologies, verification flows, and industry best practices.
  • Experience collaborating with cross-functional teams to deliver ASIC products from architecture through first customer shipment (FCS).
  • Strong programming and scripting skills in C, C++, and/or Python.
  • Experience with verification planning, functional coverage, assertion-based verification (ABV), constrained-random verification, and regression management.
  • Strong analytical and problem-solving skills.
  • Ability to independently resolve complex design and verification issues.
  • Ability to work effectively independently and as part of a collaborative engineering team.

Responsibilities

  • Design, develop, and maintain verification environments, testbenches, reusable verification components, and reference models for block- and system-level designs.
  • Develop verification plans and create test cases to ensure complete functional coverage.
  • Verify RTL designs at block and chip levels using directed testing, constrained-random verification, assertion-based verification, formal verification techniques, and functional coverage methodologies.
  • Perform RTL code coverage analysis, assertion coverage, functional coverage, and gate-level simulations to validate design quality and completeness.
  • Debug and resolve design and verification issues by collaborating with design, architecture, and cross-functional engineering teams.
  • Drive adoption of advanced verification methodologies, automation frameworks, and best practices to improve verification quality and efficiency.
  • Apply data-driven analytics and AI-assisted techniques to improve test generation, regression analysis, coverage optimization, and debug productivity.
  • Continuously improve verification processes, infrastructure, and reusable verification intellectual property to accelerate development cycles and enhance design quality and reliability.

Desired Qualifications

  • Domain knowledge of Ethernet, PCIe, and switch fabric architectures.
  • Familiarity with data analytics, AI/ML-assisted verification techniques, or automation tools to improve test generation, regression analysis, coverage closure, and debug productivity.

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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