NVIDIA Logo

NVIDIA

Senior ASIC Design Verification Engineer - LPU

Posted 9 Days Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in Canada
Senior level
Remote or Hybrid
Hiring Remotely in Canada
Senior level
Verify inference accelerator ASIC designs at block and SoC levels using advanced methodologies, random stimulus, functional coverage, assertion-based verification, SystemVerilog, and UVM. Develop testbenches, verification infrastructure, reference models, and automated flows; debug designs; collaborate with architects, designers, and pre- and post-silicon teams; and improve verification productivity through innovative techniques.
The summary above was generated by AI

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

NVIDIA is seeking best-in-class ASIC Verification Engineers to verify the design and implementation of the world’s leading inference accelerator. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of outstanding people around the globe. Their mission is to push the frontiers of what is possible today and define the platform for the future of computing. In this position, you will help to build the high-performance processor elements that implement programmable compute and graphics functionality.

What you'll be doing:

  • As a key member of our ASIC Verification team, you will verify the design and implementation of inference accelerator

  • You will be responsible for verification of the ASIC design, architecture, reference models and micro-architecture using advanced verification methodologies

  • Understand the design and implementation of your unit, define the verification scope, develop the verification infrastructure and verify the correctness of the design

  • Collaborate with architects, designers, and pre and post silicon verification teams to accomplish your tasks

  • Implement and optimize automated verification flows to improve productivity and efficiency

  • Stay updated on the latest trends and advancements in ASIC design verification and incorporate innovative techniques into the verification process

What we need to see:

  • Bachelors Degree in EE, CS or CE (or equivalent experience) and 8+ years of relevant industry experience

  • Background with building block and SoC level testbench utilizing strong debugging and analytical skills

  • Experience in verification using random stimulus along with functional coverage, assertion-based verification methodologies and tools

  • Expertise in SystemVerilog and Universal Verification Methodology (UVM)

  • Experience with design and verification tools (VCS, Verdi or equivalent)

  • Experience in UPF power verification is a plus

  • Experience in netlist and DFT verification is a plus

  • Perl/Python and C/C++ programming language experience desirable

  • Knowledge of ASIC design flow, from specification to GDS

  • Knowledge of applying machine learning to ASIC verification flow

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant people in the world working for us and, due to unprecedented growth, our teams are rapidly growing. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
155,000 CAD – 205,000 CAD for Level 4; and 195,000 CAD – 245,000 CAD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

Similar Jobs

3 Hours Ago
Easy Apply
Remote or Hybrid
Canada
Easy Apply
Junior
Junior
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead and develop a Canada Scaled Customer Success team to drive onboarding, adoption, expansion, and renewals via digital scale programs. Hire and coach CSMs, manage KPIs/OKRs, improve processes and tooling, collaborate cross-functionally, and escalate high-stakes customer moments to ensure measurable customer outcomes.
Top Skills: CRMCs PlatformDigital Engagement ToolsGainsightProduct AnalyticsTotango
14 Hours Ago
Remote or Hybrid
Canada
Junior
Junior
Agency • Digital Media • Legal Tech • Marketing Tech • Social Media • SEO
Own a portfolio of clients to maximize retention and growth: run client calls, analyze lead and performance data, spot retention risks and upsell opportunities, coordinate internal teams to deliver on strategy, and contribute process and AI-driven improvements to internal systems.
14 Hours Ago
Remote
Canada
Expert/Leader
Expert/Leader
Software
Lead product and UX strategy for Aha!, driving product vision, discovery, and AI-enabled product development. Build and coach high-performing PM and UX teams, partner with executives and cross-functional leaders to deliver revenue, retention, and customer value across B2B SaaS product portfolios.
Top Skills: Aha! BuilderAha! DevelopAha! DiscoveryAha! IdeasAha! KnowledgeAha! RoadmapsAha! TeamworkAha! WhiteboardsAI

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account