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NVIDIA

Developer Technology Engineer - Simulation

NVIDIA is hiring a Developer Technology Engineer - Simulation in Seoul, South Korea. Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Builds AI ●●●● is how Level rates this role: the job is building AI systems.
  • Tools and skills the posting cites include C, GPUs and hpc.
  • Level classifies it as a senior role.
  • Level lists 2,700+ other open roles at NVIDIA.

AI in this role

Developer Technology Engineer focusing on high-performance computing, GPU optimization, and physical AI simulations.

CGPUs
hpcparallel-algorithmssimulationsoftware-development

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Join our global Developer Technology (DevTech) team at NVIDIA, where we drive innovation and improve the value of our platforms for developers. We are seeking a passionate colleague to work as a Developer Technology Engineer. Our DevTech team is a global organization dedicated to pushing the boundaries of computing. Would you enjoy researching parallel algorithms to accelerate HPC workloads on advanced computer architectures? Is it rewarding to investigate, find, and eliminate system bottlenecks to achieve the best possible performance of computer hardware? If so, we invite you to consider this role!

What you'll be doing:

  • Collaborating closely with key application developers to understand and address their current and future challenges. Developing and optimizing core parallel algorithms and data structures, providing top solutions with GPUs through reference code and direct app contributions.

  • Working intimately with diverse groups at NVIDIA including architecture, research, libraries, tools, and system software teams. Your insights will influence the development of next-generation architectures, software platforms, and programming models by investigating their impact on application performance and developer efficiency.

  • Researching and developing innovative techniques in HPC or Physical AI. You'll conduct comprehensive analysis and optimization to ensure the best possible performance on current and next-generation GPU architectures.

What we need to see:

  • PhD degree in high-performance computing or simulation field, or equivalent experience and 3+ years of relevant work.

  • Strong communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.

  • Strong knowledge of C++, software development, programming techniques, and algorithms.

  • Strong knowledge of CUDA and parallel computing.

  • Proficiency in Computational Science and Engineering, including numerical methods, physics-based simulation, HPC workflows, and simulation-based Physical AI applications.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

#deeplearning

How we rate this

Developer Technology Engineer - Simulation at NVIDIA rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  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

HpcParallel AlgorithmsSimulationSoftware DevelopmentCGPUs

Questions you could be asked

  1. Tell me about a project where hpc was part of your work. What did you do?
  2. Tell me about a project where parallel algorithms was part of your work. What did you do?
  3. Tell me about a project where simulation was part of your work. What did you do?
  4. Tell me about a project where software development was part of your work. What did you do?
  5. Walk me through how you've used C in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Hpc, Parallel Algorithms, Simulation, Software Development, and C. 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.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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