Developer Technology Engineer, AI - New College Graduate 2026 - NVIDIA

OpenTalent; Austin (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

NVIDIA is seeking a world-class AI Developer Technology Engineer to join the Compute Devtech team. You will study and develop state-of-the-art deep learning and machine learning techniques, optimizing for current and next-generation GPU architectures, while delivering AI solutions to key customers.

You will collaborate with architecture, research, libraries, tools, and system software teams to influence the design of future architectures and programming models, leveraging CUDA C/C++ and strong

Qualifications

• MS or PhD in engineering or Computer Science or equivalent experience.
• Strong knowledge of C/C++, software design, programming techniques, and AI algorithms.
• Experience with parallel programming, ideally CUDA C/C++.

Responsibilities

• Study and develop state of the art techniques in deep learning, machine learning, and performance optimization on GPU architectures.
• Provide AI solutions using GPUs with key customers.
• Collaborate with architecture, research, libraries, tools, and system software teams to influence future architectures and programming models.

Skills

C/C++

Parallel programming

AI algorithms

CUDA C/C++

Software design

Education

MS or PhD in engineering or CS

Tools

CUDA

Job description

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.

NVIDIA is looking for a passionate, world-class computer scientist to work in its Compute Developer Technology (Devtech) team as an AI Developer Technology Engineer. Artificial intelligence, the dream of computer scientists for over half a century, is no longer science fiction. And in the next few years, it will transform every industry. Soon, self-driving cars will reduce congestion and improve road safety. AI travel agents will know your preferences and arrange every detail of your family vacation. And medical instruments will read and understand patient DNA to detect and treat early signs of cancer. Where engines made us stronger and powered the first industrial revolution, AI will make us smarter and power the next. What will make this intelligent industrial revolution possible? A new computing model - GPU deep learning - that enables computers to learn from data and write software that is too complex for people to code.

What you will be doing:

• Study and develop state of the art techniques in deep learning, machine learning, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures
• Provide the best AI solutions using GPUs working directly with key customers
• Collaborate closely with the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models

What we need to see:

• Pursuing or recently completed a MS or PhD in an engineering or Computer Science related discipline or equivalent experience
• You'll possess strong knowledge of C/C++, software design, programming techniques, and AI algorithms
• Experience with parallel programming, ideally CUDA C/C++
• Excellent communication and organization skills, with a logical approach to problem solving, time management, and task prioritization skills

Ways to stand out from the crowd:

• A background that includes low-level performance optimizations and computer architecture.
• Expertise in parallelization and performance optimization of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender Systems, etc.