Location: Helsinki, Finland
What You will Be Doing:
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Lead & Grow a High-Impact Team
Build and manage a globally distributed team focused on neural graphics. Navigate cross-timezone collaboration and diverse talent pools with ease. -
Recruit Top Talent
Attract world-class engineers and researchers in neural rendering, machine learning, and differentiable programming. -
Define the Roadmap
Create and execute a clear technology strategy for neural graphics across NVIDIAs platform ecosystem, with a focus on integrating Slang as the core neural programming language. -
Drive Integration Across Platforms
Lead system-level integration of neural rendering tech across a variety of hardware and software platforms. -
Bridge Research and Product
Translate cutting-edge neural graphics research into production-ready solutions. Work closely with teams across the globe to bring innovations to market. -
Foster Industry Collaboration
Partner with research institutions and industry leaders to push the boundaries of neural graphics and grow ecosystem adoption. -
Accelerate Research-to-Production
Establish efficient pipelines to turn experimental models into real-world products using Slang as a foundation.
What We are Looking For:
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Degree in Computer Science, Computer Graphics, Machine Learning, or equivalent experience
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8+ years of professional experience, including 3+ years leading engineering teams
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Strong expertise in Deep Learning, Generative AI, and Diffusion Models
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Deep understanding of ML frameworks, production AI systems, and infrastructure
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Proven track record of turning research into shipped products with measurable impact
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Excellent cross-functional leadership and communication skills
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Ability to guide teams through tech transitions, including adoption of GenAI/LLMs in workflows
Bonus Points (Stand Out by Having):
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Deep expertise in neural graphics and AI-driven rendering
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Experience shipping products using real-time rendering technologies
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Background in building developer platforms or SDKs
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A track record of bringing research innovations to scalable, production-ready systems
