Software Engineering Manager - Neural Graphics at NVIDIA

Helsinki, South Finland, Finland

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Computer Graphics, AI, Accelerated ComputingIndustries

Requirements

Degree in Computer Science, Computer Graphics, Machine Learning, or equivalent experience
Proven experience in Deep Learning, Generative AI, Diffusion Models
8+ overall years work experience with 3+ 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
Able to transform and lead teams through changes in technology focus and/or adoption of genAI/LLMs into day-to-day production

Responsibilities

Develop and expand a team passionate about neural graphics. Able to manage a diverse team across different geographies and able to participate in meetings across global timezones
Recruit outstanding talent in neural rendering, machine learning, and differentiable programming
Develop a technology roadmap for neural graphics throughout NVIDIA's platform ecosystem, focus on integrating Slang as the preferred neural language
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. Be able to work with multiple teams across the globe to achieve common goals
Drive partnerships with research groups and industry to advance neural graphics capabilities and ecosystem adoption
Establishing rapid research-to-production processes by using Slang as the foundational platform

Skills

Key technologies and capabilities for this role

neural graphicsneural renderingmachine learningdifferentiable programmingSlangsystem integrationGPUAI

Questions & Answers

Common questions about this position

What experience is required for the Software Engineering Manager role?

Candidates need a degree in Computer Science, Computer Graphics, Machine Learning, or equivalent, 8+ years of overall work experience with 3+ years leading teams, proven experience in Deep Learning, Generative AI, Diffusion Models, and a strong understanding of ML frameworks applied in production.

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 will the team structure be like under this manager?

The role involves developing and expanding a team passionate about neural graphics, managing a diverse team across different geographies, participating in meetings across global timezones, and recruiting outstanding talent in neural rendering, machine learning, and differentiable programming.

What makes a candidate stand out for this position?

Stand out with expert knowledge in neural graphics and AI-powered rendering, a track record of shipping products with real-time rendering and graphics platforms, along with experience defining platform strategies and research-to-product transfers.

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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