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AI Job Summary

Develop GPU-acceleration techniques for generative AI workloads including LLMs and diffusion models, working directly with developers to optimize performance on NVIDIA platforms. Requires an MS in Computer Science or related field plus 1+ years of software engineering and performance tuning experience. Must have strong C/C++ skills, parallel programming knowledge, and hands-on low-level optimization experience. Hybrid role paying $124,000–$195,500 for Level 2 or $152,000–$241,500 for Level 3, depending on location and experience.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

We are seeking an 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 outstanding 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)
  • 1+ 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: 

  • PhD in a relevant field. 
  • Experience with training and inference stacks, serving frameworks, pre-training and post-training pipelines. 
  • Strong foundation in linear algebra and numerical methods. 

 

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. 


#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 6, 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.

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  • Role AI Developer Technology Engineer
  • Experience 3-4 years
  • Education Master Degree, or equivalent experience
  • Work type Remote
  • Location United States
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NVIDIA
Hardware & Semiconductors · 200-500 Members · Santa Clara, CA, United States

NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.

All jobs at NVIDIA
Job Overview

Approx. salary range

185K – 265K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 37 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Hires remotely in the United States.
Workplace
Remote
Job Posted:
1 day ago
Job Type
Full Time
Education
Master Degree, or equivalent experience
Experience
3-4 years

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