Senior Accelerated Computing Product Manager at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Semiconductor, DatacenterIndustries

Requirements

Bachelor’s Degree in Computer Science, Computer Engineering, or equivalent experience
10+ years of Product Management or Product-adjacent supporting experience
Organized and methodical; able to define key product metrics, structure and track them, and keep business data up-to-date
Ability to produce clear, concise communication appropriate to various audiences: break down sophisticated technical performance summaries to brief updates for management, customer stories for marketing usage, or deep analysis to inform engineering changes
Proven understanding of software optimization, profiling, and performance analysis
Experience in engaging with customers for proof-of-concept and pre-sales activities
Strong project management skills with an emphasis on scalability

Responsibilities

Understand and Supervise Our Performance Measurement Needs: Work with customers, sales and field to understand key established and potential workloads for our Accelerated platforms, and areas and market segments that need to be more competitive. Translate these to
Become an Expert on Performance Comparison: Advise performance teams on how to develop like-for-like workload comparisons. Ensure methodologies are robust, accurate, and relevant, leading to reliable performance benchmarks
Tell Our Story, from Marketing to R&D: Work with technical marketing and develop internal reporting content that effectively communicates performance outcomes. Ensure content is clear, accurate, and tailored to the audience, whether it be internal partners or potential clients
Understand Our Customers and Help Them Succeed: Effectively engage with key customers and engineers to conduct performance and workload studies. Work closely with customers to understand their needs and provide insights and solutions based on performance data
Help the Team Grow and Scale: Supervise current performance measurement and collection processes. Advise on and implement strategies to make these processes more scalable and efficient, ensuring they can adapt to evolving workload demands and technology changes. Keep data fresh and current
Understand the Competitive Landscape: Stay informed of competing products and SKUs, modeling their KPIs. Keep a pulse on industry trends and advancements in silicon technology, compilers, software, libraries, and performance measurement. Use this knowledge to advise strategies and practices within the team
Keep Our Projects Running Efficiently: Prioritize resources throughout the company in use for performance measurement, and identify gaps in coverage
Share Your Knowledge: At the intersection of compilers, tools, silicon, and platform architecture, build detailed technical documentation to address common performance concerns and optimizations

Skills

Key technologies and capabilities for this role

Product ManagementPerformance BenchmarkingGPUCPUAccelerated ComputingWorkload AnalysisCompetitive AnalysisTechnical MarketingData AnalysisCompiler FlagsKernel ConfigurationEnergy EfficiencySoC Features

Questions & Answers

Common questions about this position

What are the key responsibilities of this Senior Accelerated Computing Product Manager role?

The role involves understanding performance measurement needs, advising on performance comparisons, communicating results to marketing and R&D, engaging with customers, scaling processes, tracking competitive landscape, and prioritizing resources.

What skills and experience are required for this position?

Candidates need a versatile and highly technical background with intuitive understanding of gaps in hardware, software, tools, and systems, experience driving measurement processes, and skills in data analysis, communication, and creating value propositions from performance metrics like throughput, power, and SoC usage.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a strong candidate for this product manager role at NVIDIA?

Strong candidates have deep technical knowledge in CPU/GPU deployment, experience with performance benchmarks across compilers, kernels, energy efficiency, and SoC features, plus the ability to analyze data, track competitors, and communicate value propositions effectively.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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