RiseMe
NVIDIA logo
NVIDIA Verified
Semiconductors, Artificial Intelligence, Computer Hardware, Software Development

Senior AI Developer Technology Engineer

RemoteHybridFull TimeSenior$184,000–$356,500 /yrPosted 7 days agoVisa sponsorship availableHidden Gem · Himalayas

Is this role right for you?

Upload your resume and get a skill-by-skill breakdown — see exactly where you match, where you're close, and what to highlight. Not a mystery percentage.

Get a tailored resume highlighting what this role needs.

Required skills

  • GPU-accelerate
  • generative AI
  • LLMs
  • diffusion models
  • multimodal systems
  • deep learning
  • machine learning
  • NVIDIA platform
  • algorithms
  • parallel programming

Nice to have

  • training and inference frameworks
  • low-level software libraries
  • open-source projects
  • industry conferences
  • developer blogs
  • linear algebra

Role summary

NVIDIA is seeking a Senior AI Developer Technology Engineer to accelerate generative AI training and inference. This role involves developing cutting-edge techniques for GPU acceleration, optimizing performance on NVIDIA platforms, and collaborating with developers and internal teams. The ideal candidate has 8+ years of experience in software engineering, performance tuning, C/C++ programming, accelerated computing, and a strong understanding of CPU/GPU architectures. Expertise in LLMs, diffusion models, and AI stacks is preferred. The role contributes to shaping future hardware and software designs and sharing optimization techniques.

We are seeking a Senior AI Developer Technology (DevTech) Engineer to accelerate the frontier of generative AI training and inference. Our team is the bridge connecting the NVIDIA platform with developers worldwide. We dive deep into customer projects to accelerate performance, eliminate bottlenecks, and partner with a vibrant developer community to deliver the best performance on NVIDIA systems.

If you are passionate about accelerating the world's most advanced AI models and want your insights to directly influence the future of NVIDIA hardware and software stacks, we want you to be on our team.

What you will be doing:

  • Develop cutting-edge techniques to GPU-accelerate complex workloads across state-of-the-art generative AI (including LLMs, diffusion models, and multimodal systems), deep learning, and machine learning domains.
  • Work directly with key developers to optimize and accelerate generative AI training and inference on NVIDIA platform. Build and optimize algorithms to deliver the best performance, and contribute to training and inference frameworks, low-level software libraries, and open-source projects.
  • Partner directly with top technical experts in industry and academia to perform in-depth analysis and optimization of complex AI algorithms on modern CPU and GPU architectures.
  • Shape the design of next-generation hardware, system software, libraries, and programming models through tight collaboration with NVIDIA’s internal engineering and research teams.
  • Share your breakthrough optimization techniques by publishing in developer blogs and presenting at industry conferences.

What we need to see:

  • MS in Computer Science, Computer Engineering, or related computational field (or equivalent experience).
  • 8+ years of relevant work or research experience in software engineering and performance tuning.
  • Programming fluency in C/C++ with a deep understanding of algorithms and software development.
  • A background in accelerated computing, with comprehensive knowledge of parallel programming, performance analysis and optimization.
  • Hands on experience doing low-level performance optimizations.
  • Foundational understanding of modern CPU and GPU architectures.
  • Good communication and organization skills, with a logical approach to problem solving, and prioritization skills.

Ways to stand out from the crowd:

  • Expertise in the parallelization and performance optimization of Large Language Models (LLMs), Diffusion Models, and Multimodal Architectures for training and inference.
  • Experience with training and inference stacks, serving frameworks, pre-training and post-training pipelines.
  • Strong foundation in linear algebra and numerical methods.
  • Continuous learning, proactively keeping up with cutting-edge technologies, and adapting to a rapidly evolving landscape.

What's DevTech? We are a global organization whose mission is to drive innovation we see in the market towards our products. As recognized specialists across many domains, our work makes valuable contributions in two important ways. Our solutions are at the cutting edge of technology, advancing NVIDIA’s leadership in accelerated computing. Our discoveries generate findings that benefit the Developer Community and provides guidance to our engineering teams to help make our products better. NVIDIA's success in the advancement and availability of Artificial Intelligence has created incredible growth across the Company, and our Developer Technology Engineering team has been steadily growing to meet the demands for our services.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 2, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

Originally posted on Himalayas

Sample NVIDIA interview questions

  • 1

    Design a system for a rock paper scissors game

    system designmedium
  • 2

    Implement a distributed data migration management platform.

    system designmedium
  • 3

    Design a Distributed Build System with Cross-Data Center Artifact Sharing

    system designhard
  • 4

    Design a distributed training system for a trillion-parameter language model

    system designmedium
  • 5

    Develop a distributed tracing system for tracking and debugging.

    system designmedium

Get started to unlock a personalized interview prep pack for this role.

Ready to apply?
You'll be redirected to NVIDIA's application page.

Similar roles

See how RiseMe works

Match, tailor, and prep so you send fewer applications and land more interviews.