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Developer Technology Engineer – AI

3 Locations💼 Full-time🗓 2026-06-10 → 2026-08-01

Core

Developing and optimizing core parallel algorithms and data structures for GPU-based applications to solve current and future problems for key application developers.

Role type

Senior IC GPU software engineer

Builds

Optimized GPU reference code and application solutions

Domain

Accelerated computing, GPU architecture, high-performance computing

Deliverable

production ML models | product features

Required skills

C/C++ programming, Python, parallel programming, CUDA C/C, OpenACC, algorithm design, data structures, linear algebra, numerical methods

Preferred skills

Domain expertise in telecommunications, medical imaging, machine learning, deep learning, HPC, or natural sciences

Technologies

CUDA, OpenACC, C, C++, Python

Responsibilities

Collaborate with architecture, research, libraries, tools, and system software teams to influence next-generation software platform design; investigate impact on application performance and developer efficiency; craft and optimize core parallel algorithms and data structures using GPUs.

Seniority

Mid-level, hands-on IC

Rewrite
## Responsibilities • Working directly with key application developers to understand the current and future problems they are solving, crafting and optimizing core parallel algorithms and data structures to provide the best solutions using GPUs, through both reference code development and direct contribution to the applications. • Collaborating closely with diverse groups at NVIDIA such as the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models, by investigating the impact on application performance and developer efficiency. • Need to travel from time to time for conferences and for on-site visits with developers. ## Requirements • A BS, MS, or PhD degree from a leading university in an engineering or computer science related field (or equivalent experience). • 3 years work experience; while not a requirement, domain expertise in telecommunications, medical imaging, machine learning, deep learning, HPC, or natural sciences is helpful. • Programming proficiency in C/C++ and/or Python with a deep understanding of software design, programming techniques, and algorithms. • Strong mathematical fundamentals, including linear algebra and numerical methods. • Experience with parallel programming, ideally CUDA C/C or OpenACC. • Strong communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills. ## Nice to Have • Domain expertise in telecommunications, medical imaging, machine learning, deep learning, HPC, or natural sciences. ## Benefits 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 by visiting http://www.nvidiabenefits.com 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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