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NVIDIA

Designs GPUs and AI HPC platforms

CPU Verification Engineer

Full-Time
No salary listed
Junior
Bachelor's
Bengaluru, Karnataka, India
HybridHybrid role based in Bengaluru; some on-site days.

About the job

Requirements
  • Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field, or equivalent experience.
  • At least 2 years of experience in CPU verification.
  • Proven expertise in ARM architecture and/or CPU microarchitecture verification.
  • Strong understanding of verification methodologies and tools.
  • Outstanding problem-solving skills and attention to detail.
  • Excellent communication and teamwork abilities.
Responsibilities
  • Responsible for verification of ARM architecture-based CPU cores
  • Develop and execute thorough unit-level verification plans and create new testbench components
  • Collaborate closely with design and architecture teams to verify architectural and microarchitectural features
  • Develop stimulus using external and in-house RIS tools for end-to-end verification of features
  • Analyze and improve existing verification strategies by incorporating AI accelerated workflows to enhance efficiency and effectiveness
Desired Qualifications
  • Detailed understanding of ARM v9 architecture and/or cache coherency concepts
  • Exposure to unit level (Branch-Predictor/Frontend/Load-Store) verification of high-performance CPU cores
  • Exposure to stimulus generation using RIS tools

About the company

NVIDIA designs and manufactures graphics processing units (GPUs) and computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

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Simplify's Take

What believers are saying

  • August 2026 Q2 revenue hit $96.2 billion, with data center sales at $89 billion.
  • Vera Rubin shipments began August 2026, targeting roughly 20% of fiscal Q3 data center revenue.
  • Open Agent Safety Platform launched September 28, 2026, expanding NVIDIA into AI governance.

What critics are saying

  • DOJ is investigating the December 2025 Groq licensing deal for antitrust evasion.
  • Commerce closed a May 2026 Blackwell loophole, blocking China sales and depressing growth.
  • Hyperscalers keep building Trainium, TPU, and Maia chips, threatening NVIDIA's long-term control.

What makes NVIDIA unique

  • CUDA locks developers into NVIDIA software, strengthened by two-decade ecosystem and tooling.
  • Vera Rubin pairs GPUs, Vera CPUs, and BlueField-4 DPUs into one stack.
  • DGX Spark packages datacenter-grade AI into OEM desktops for local agents.

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Headcount

6 month growth

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1 year growth

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2 year growth

↓ -2%
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Warren Buffett's 1999 warning about investing in transformative technology has resurfaced as Nvidia's market value reaches roughly $5.5 trillion. Since ChatGPT's launch in late 2022, Nvidia's annual revenue has surged from approximately $27 billion to more than $215 billion, with its latest quarter generating $96.2 billion. Buffett's concern wasn't whether technology would reshape society, but whether investors could identify which companies would maintain a "truly durable competitive advantage". Nvidia's CUDA software ecosystem, built over nearly two decades, provides strong evidence of such an advantage. However, the question remains whether Nvidia can preserve its dominant position as competition grows and customers develop alternatives. Morgan Stanley recently maintained its $300 price target for Nvidia shares.

Fortune
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Yahoo Finance
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Nvidia could benefit from Akamai's $11.6B Anthropic deal focused on AI CPUs

Akamai Technologies has signed a nearly $12 billion deal with AI lab Anthropic for cloud capacity and services, which could indirectly benefit Nvidia. The seven-year agreement focuses on CPUs rather than the GPUs that typically dominate AI infrastructure deals. GF Securities analyst Henry Huang suggests the deal likely involves Nvidia's Vera CPUs, which Akamai previously indicated it would deploy for agentic workloads. Nvidia named both Akamai and Anthropic as early adopters of Vera when the processor launched in May. Whilst Akamai expects roughly $5.5 billion in capital expenditures tied to the commitment, the strategic implications may prove more significant than immediate revenue. Nvidia CFO Colette Kress said trailing-twelve-month revenue from Grace CPUs already exceeded $5 billion, with CPU revenue expected to more than double year-over-year in fiscal 2028.

Yahoo Finance
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Nvidia's stock hit a record high on Friday, reaching $237.88 and pushing the chipmaker's market capitalisation to roughly $5.7 trillion, the largest of any company globally. This marks the first record since May. The stock has surged over 40% from its 30 March low of $165.17. Nvidia's valuation has grown dramatically from $1.18 trillion in August 2023 to becoming the first company to reach $5 trillion in October 2025. The rally follows several catalysts. Nvidia's board authorised a $150 billion share buyback, bringing total repurchase authority to $235 billion through fiscal 2028. A weak US jobs report also boosted stocks by reducing expectations of Federal Reserve interest rate rises. Nvidia reported $96.2 billion in revenue for the quarter ended 26 July, up 106% year-on-year, with data centres contributing $89 billion.

Yahoo Finance
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