Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 5
Algorithms @ 6
Communication @ 6
Deep Learning
GPU @ 3
GenAI
Generative AI
LLM
Machine Learning
Parallel Programming @ 3
Performance Analysis @ 3
Performance Optimization @ 3
Prioritization @ 6
Software Development @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
We are seeking an AI Developer Technology (DevTech) Engineer to accelerate the frontier of generative AI training and inference. The team connects the NVIDIA platform with developers worldwide, working directly with customer projects to improve performance, eliminate bottlenecks, and deliver outstanding performance on NVIDIA systems.
The role focuses on accelerating advanced AI models and influencing the future of NVIDIA hardware and software stacks.
Responsibilities
- Develop GPU-acceleration techniques for complex workloads across generative AI, including large language models, diffusion models, and multimodal systems, as well as deep learning and machine learning workloads.
- Work directly with developers to optimize generative AI training and inference on the NVIDIA platform.
- Build and optimize algorithms for maximum performance.
- Contribute to training and inference frameworks, low-level software libraries, and open-source projects.
- Partner with technical experts in industry and academia to analyze and optimize complex AI algorithms on modern CPU and GPU architectures.
- Help shape the design of next-generation hardware, system software, libraries, and programming models in collaboration with NVIDIA engineering and research teams.
- Share optimization techniques through developer blogs and industry conference presentations.
Requirements
- Master's degree in Computer Science, Computer Engineering, or a related computational field, or equivalent experience.
- At least 1 year 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.
- Background in accelerated computing, including comprehensive knowledge of parallel programming, performance analysis, and optimization.
- Hands-on experience with low-level performance optimization.
- Foundational understanding of modern CPU and GPU architectures.
- Strong communication, organization, problem-solving, and prioritization skills.
Preferred Qualifications
- PhD in a relevant field.
- Experience with training and inference stacks, serving frameworks, and pre-training and post-training pipelines.
- Strong foundation in linear algebra and numerical methods.
About DevTech
Developer Technology is a global organization whose mission is to drive market innovation into NVIDIA products. Its solutions advance NVIDIA's leadership in accelerated computing, while its discoveries benefit the developer community and provide guidance to NVIDIA engineering teams.
Compensation and Benefits
The base salary is determined by location, experience, and the pay of employees in similar positions. The base salary range is USD 124,000–195,500 for Level 2 and USD 152,000–241,500 for Level 3. Employees are also eligible for equity and benefits.
Applications will be accepted at least until October 6, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.