Senior Manager, Software Engineering - Neural Graphics at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Computer Graphics, AI, GamingIndustries

Requirements

Degree in Computer Science, Computer Graphics, Machine Learning, or equivalent experience
12+ overall years of industry experience, including 6+ years leading teams
Strong understanding of ML frameworks and AI technologies with experience applying them in production environments
Experience defining platform strategies across business units with demonstrated research-to-product transfers and measurable business impact
Excellent communication and leadership skills across research, product, and executive teams

Responsibilities

Develop and expand a team focused on neural graphics
Recruit extraordinary talent in neural rendering, machine learning, and differentiable programming
Define strategic roadmap for neural graphics across NVIDIA's platform ecosystem, positioning Slang as a key enabler
Lead system-level integration of neural graphics technologies across multiple platforms and architectures
Bridge research and product teams to translate neural graphics innovations into shipping products and platforms
Drive partnerships with research groups and industry to advance neural graphics capabilities and ecosystem adoption
Establish rapid research-to-production processes by bringing to bear Slang as the foundational platform

Skills

Key technologies and capabilities for this role

Neural GraphicsSlangNeural RenderingMachine LearningDifferentiable ProgrammingGPUAI-Driven GraphicsSystem IntegrationSoftware EngineeringTeam Leadership

Questions & Answers

Common questions about this position

What experience level is required for this Senior Manager role?

The role requires 12+ overall years of industry experience, including 6+ years leading teams.

What education is needed for this position?

A degree in Computer Science, Computer Graphics, Machine Learning, or equivalent experience is required.

What key skills are essential for this role?

Candidates need a strong understanding of ML frameworks and AI technologies with production experience, experience defining platform strategies with research-to-product transfers, and excellent communication and leadership skills.

What is the work environment like at NVIDIA?

NVIDIA offers a diverse, encouraging environment where everyone is inspired to do their best work.

What makes a candidate stand out for this position?

Profound knowledge in neural graphics and AI-powered rendering, along with extensive experience with real-time rendering systems, will help candidates stand out.

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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