Full-Time

Senior Product Manager

Hardware Infrastructure

Posted on 5/9/2026

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI HPC platforms

Compensation Overview

CA$145k - CA$195k/yr

+ Equity

Toronto, ON, Canada

Hybrid

Category
Product (1)
Required Skills
Git
Requirements
  • B.S. (or equivalent experience) in Computer Science or a related technical field
  • 10+ years of product management experience, including ownership of hardware platforms, infrastructure, or internal tools
  • Demonstrated experience partnering with highly technical engineering teams and driving products from concept through delivery
  • Proven track record to define product strategy, prioritize roadmaps, and deliver measurable improvements in developer productivity or system performance
  • Experience working with large-scale infra deployments, including challenges related to performance, collaboration, and developer productivity
  • Solid understanding of source control systems (Git, Perforce) and code collaboration workflows such as branching strategies, code reviews, and large-scale merges
  • Analytical approach, including defining success measures, tracking adoption, and finding opportunities to improve workflow efficiency
  • Excellent cross-functional leadership and communication skills, with the ability to influence without authority across multiple geo-distributed teams
  • Track record of driving adoption of internal platforms and influencing engineering culture (developer productivity, code health, review practices, versioning standards)
Responsibilities
  • Define and drive the product vision, strategy, and roadmap for hardware infrastructure supporting large-scale chip and software development ensuring performance, reliability and scalability
  • Partner closely with internal engineering teams to integrate infrastructure tools seamlessly into day to day development and optimize hardware engineer workflows
  • Own the evolution of infrastructure architecture, aggressively accelerate chip design using state of the art AI solutions, and structuring of code to support complex programs, distributed teams
  • Lead cross-functional alignment across engineering leaders to deliver roadmaps against extremely ambitious timelines and goals.
  • Establish processes, metrics and indicators and use data to amplify team performance, measure impact on business outcomes, communicate and resolve bottlenecks, address issues, prioritization.
  • Drive long-term investments in scalability and reliability to support growing codebases, increasing team sizes, and next-generation silicon and software programs
  • Champion guidelines in maintaining code integrity, review standards, and versioning strategies to enable efficient collaboration and reduce integration risk ahead of tapeout
Desired Qualifications
  • Experience supporting hardware or infrastructure platforms and understanding of pre-silicon development workflows
  • Experience supporting AI infrastructure platforms and understanding of state of the art ML / LLM workflows
  • Familiarity with enterprise-scale source control systems such as Perforce, Git in large, distributed engineering organizations
  • Experience with infrastructure architecture decisions, complex workstream management, resolving conflicting priorities

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

Simplify Jobs

Simplify's Take

What believers are saying

  • Agentic AI adoption at scale drives major inflection in inference demand globally.
  • Jensen Huang projects $3T-$4T global AI factory buildout through 2030.
  • Data centre networking revenue surged 263% YoY to $10.98B in Q4 FY2026.

What critics are saying

  • Nemotron 3 open weights enable AMD and Intel to replicate NVIDIA's software moat.
  • Insider selling over three months signals executive doubt about sustaining 73% growth.
  • $30B OpenAI investment exposes NVIDIA to catastrophic losses from governance collapse.

What makes NVIDIA unique

  • Vera Rubin launching July 2026 reduces inference token costs tenfold versus Blackwell.
  • Nemotron 3 Nano Omni achieves 9x higher throughput on consumer hardware like RTX 4090.
  • Clear datacenter product roadmap extends through 2028 with Feynman arriving in 2028.

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Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

-3%

2 year growth

-2%
The Associated Press
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CNBC
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Nvidia stock surges 18% on 10-day winning streak fuelled by $1T GPU orders through 2027

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Yahoo Finance
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Yahoo Finance
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Vertiv partners with Nvidia on AI data centre infrastructure as analysts raise price target to $300

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Yahoo Finance
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Nvidia and Dell: AI infrastructure stocks to buy ahead of May earnings

Nvidia and Dell Technologies are positioned as attractive AI infrastructure investments ahead of their May earnings reports, according to recent analysis. Both companies supply critical hardware for AI computing, with demand for AI capacity continuing to outpace available resources across major cloud services. Nvidia shares have remained flat for six months despite strong fundamentals. Last quarter, its data centre business generated $62 billion in revenue, up 75% year over year, with a 75% gross margin. The company expects over $1 trillion in cumulative orders for its Blackwell and upcoming Rubin chips through 2027. Trading at 17 times next year's expected earnings, Nvidia's valuation appears discounted relative to its 66% revenue growth in fiscal year 2026. Dell Technologies similarly stands to benefit from the AI infrastructure build-out. Both companies report earnings in May.