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NVIDIA

Senior Manager, Graphics Systems Software and Compute Graphics Chips

NVIDIA is hiring a Senior Manager, Graphics Systems Software and Compute Graphics Chips in Helsinki, Finland. Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Tools and skills the posting cites include Vulkan, Opengl and CUDA.
  • Level classifies it as an executive role.
  • Level lists 2,700+ other open roles at NVIDIA.
  • The role was posted within the past two weeks.

AI in this role

Lead a graphics software engineering team building systems for automotive, robotics, and neural rendering.

vulkanopenglcudaslang
ai-agentsgraphics-softwaregpu-architectureteam-leadershipneural-rendering

NVIDIA has been transforming computer graphics and accelerated computing for more than 30 years. We are now reinventing graphics with AI. Advances in graphics system software, compute graphics, and neural rendering are expanding what GPUs can deliver across visual computing, robotics, and automotive platforms.


We are seeking a deeply technical Senior Engineering Manager to lead our graphics software organization in Finland. You will lead an experienced team delivering graphics system software for automotive and robotics while growing its contributions to NVIDIA’s overall graphics direction. Your scope spans GPU and SoC bring-up, graphics API development, and platform integration, with opportunities to contribute to technologies such as neural shading and Slang. Working with architects and partner teams across NVIDIA, you will define a clear technical strategy and roadmap, and establish the team’s capabilities to deliver the next generation of graphics software. This role combines technical leadership, team development, and execution. You will partner with senior architects and engineering leaders to set focused roadmaps, deliver production-quality software, and develop the skills needed for new graphics opportunities. You will also advance how the team builds software by applying AI-assisted development and agentic automation.


What You’ll Be Doing:

  • Lead and develop a team delivering graphics system software and advancing compute graphics.
  • Own team strategy, roadmaps, priorities, quality, and delivery commitments.
  • Drive execution across GPU and SoC enablement, Vulkan and OpenGL drivers, CUDA-based graphics, platform integration, and production releases.
  • Collaborate with GPU architecture, hardware, research, and platform teams on technical direction and hardware/software co-design.
  • Expand the team’s contributions to NVIDIA’s broader graphics strategy.
  • Mentor engineers and technical leaders while hiring and developing outstanding talent.
  • Improve development, validation, and support through better engineering practices, infrastructure, and AI-assisted and agentic workflows.

What We Need to See:

  • Bachelor’s degree or higher in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
  • 10+ overall years of experience in graphics, GPU, or platform engineering, including 4+ years leading engineering teams.
  • Strong understanding of GPU architecture, graphics and compute pipelines, and how software interacts with the hardware.
  • Deep expertise in graphics system software, such as drivers, GPU / SoC enablement, shader infrastructure, or graphics/compute APIs.
  • Demonstrated proficiency in agentic software development, with a track record of setting a high bar, establishing team expertise, and driving measurable improvements in engineering productivity and software quality.
  • Proven success leading software teams and shipping production-quality systems.
  • Strong technical judgment, communication, and organizational skills.

Ways to Stand Out from the Crowd:

  • A track record of advancing a graphics technology from early development into production use.
  • Experience shipping production graphics drivers or runtimes for Vulkan, OpenGL, or CUDA-based graphics, or contributing to graphics API design and standardization.
  • Experience with pre-silicon validation and GPU or SoC bring-up.
  • Functional safety experience in automotive or other safety-critical software, including ISO 26262, ASIL requirements, traceability, verification evidence, or safety-qualified releases.
  • A proven track record of delivering engineering programs on schedule and at high quality, including using AI to strengthen planning and delivery.

We are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward‑thinking and creative people in the world working for us. If you're creative and autonomous with a real passion for technology, we want to hear from you.

How we rate this

Senior Manager, Graphics Systems Software and Compute Graphics Chips at NVIDIA rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsGraphics SoftwareGPU ArchitectureTeam LeadershipNeural RenderingVulkanOpenglCUDA

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where graphics software was part of your work. What did you do?
  3. Tell me about a project where gpu architecture was part of your work. What did you do?
  4. Tell me about a project where team leadership was part of your work. What did you do?
  5. Tell me about a project where neural rendering was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, Graphics Software, GPU Architecture, Team Leadership, and Neural Rendering. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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