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AI Developer Technology Engineer

NVIDIA nvidia.com Open
Remote Switzerland Full-time Mid-level AI Engineering

At a glance

Mid-level AI Engineering role at NVIDIA. Remote, Switzerland · full-time.

Pay not stated AI Engineering salary

RoleAI Engineering
SeniorityMid-level
LocationSwitzerland
WorkplaceRemote
EmploymentFull-time
PostedOct 29, 2026
Role brief

remoteroles summary, based on the employer's posting.

What you'll do

  • Develop methods that move deep learning, machine learning and other AI workloads onto GPUs
  • Analyze complex AI and HPC algorithms with technical specialists, then optimize them for CPU and GPU systems
  • Share performance techniques through developer blogs or relevant conferences
  • Work with research, hardware, software, library and tools teams to shape future architectures and programming models

What you bring

  • An advanced computing-focused degree, or equivalent experience, and at least eight years in software development or research
  • Strong C/C++ skills, with a solid grasp of algorithms and software development
  • Practical experience with parallel programming and low-level performance tuning
  • A detailed understanding of CPU and GPU architecture

Who this fits

This role suits an autonomous computer scientist who enjoys parallel computing and performance optimization. It is a remote position based in Switzerland.

From the employer

We’re currently seeking a Senior Developer Technology Engineer, Artificial Intelligence.

Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible performance on pioneering computer hardware? Could you be thrilled about an opportunity to partner with the developer community, working at the forefront of technology breakthroughs that contribute to the success of an industry leader like NVIDIA? If so, the Developer Technology Team invites you to consider this role.

What you will be doing:

  • In this position, you will research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains.

  • Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC algorithms to ensure optimal AI solutions on modern CPU and GPU architectures.

  • Publish and/or present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the developer community.

  • Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.

What we need to see:

  • An advanced degree in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience).

  • You have 8+ years of relevant experience in software development or research work.

  • Programming fluency in C/C++ with a deep understanding of algorithms and software development.

  • A background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc.

  • Hands on experience doing low-level performance optimizations.

  • In-depth expertise with CPU and GPU architecture fundamentals.

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

Ways to stand out from the crowd:

  • Expertise in parallelization and performance optimization of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender Systems, etc.

  • Excellent understanding of linear algebra.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous computer scientist with a genuine passion for parallel computing? If so, we want to hear from you. Come, join our AI Compute DevTech team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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Opportunity

AI Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

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AI EngineeringRemote

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By the team behind remoteroles.

Find me work
Opportunity

AI Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind remoteroles.