Senior Manager, GPU and AI Architecture at NVIDIA

Santa Clara, California, United States

Apply Now

$272,000 – $425,500Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, Artificial Intelligence, TechnologyIndustries

Requirements

MS or PhD (or equivalent experience) in Computer Science, Electrical Engineering, Computer Engineering, or related fields
4+ years of relevant management experience and at least 10 years of total industry experience
Proven expertise in GPU and AI accelerator architectures
Robust understanding of hardware-software interactions
Deep knowledge and hands-on experience with deep learning and AI, particularly in the context of large-scale AI training workloads
Solid track record in performance analysis, including familiarity with profiling tools and methodologies for evaluating complex AI systems
Demonstrated success in managing and expanding impactful technical teams, with a clear passion for developing talent and fostering team success
Exceptional interpersonal skills and a strong drive to achieve results through collaboration and leadership

Responsibilities

Analyze and anticipate leading-edge AI training workloads on future GPU architectures to guide strategic decisions on NVIDIA’s AI accelerator roadmap
Drive the development and refinement of sophisticated performance models, simulation environments, and infrastructure critical for future GPU designs
Collaborate closely with cross-functional teams across hardware design, architecture, software, and product management, providing deep AI training expertise
Propose, evaluate, and advocate for groundbreaking hardware, system, and software innovations aimed at significantly enhancing AI training performance and efficiency
Lead and scale a high-performance team of engineers, overseeing their career growth, performance management, recruitment, strategic goal-setting, and project delivery

Skills

GPU Architecture

AI Accelerators

Deep Learning

Performance Analysis

Profiling Tools

Performance Modeling

Simulation Environments

Hardware-Software Interactions

AI Training Workloads

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.

Land your dream remote job 3x faster with AI

Try Jobo Free