Developer Technology Engineer, AI - New College Graduate 2026

at Nvidia

USD 108,000-195,500 per year

JUNIOR

✅ On-site

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 @ 6 Algorithms @ 6 CUDA @ 3 Communication @ 3 Computer Vision @ 3 Deep Learning @ 3 GPU Machine Learning NLP Parallel Programming @ 3 Performance Optimization @ 3 Prioritization @ 3

Details

NVIDIA's Compute Developer Technology team is seeking a passionate computer scientist to work as an AI Developer Technology Engineer. The role focuses on GPU deep learning, enabling computers to learn from data and support the next generation of AI-powered applications.

Responsibilities

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

Requirements

Pursuing or recently completed a master's or PhD in engineering, computer science, or a related discipline, or equivalent experience.
Strong knowledge of C/C++, software design, programming techniques, and AI algorithms.
Experience with parallel programming, ideally CUDA C/C++.
Excellent communication and organizational skills.
A logical approach to problem solving, time management, and task prioritization.

Preferred Qualifications

Background in low-level performance optimization and computer architecture.
Expertise in parallelization and performance optimization of deep learning models for natural language processing, computer vision, recommender systems, or related areas.

Compensation And Benefits

The base salary range is USD 108,000–178,250 for Level 1 and USD 124,000–195,500 for Level 2. Salary is determined based on location, experience, and the pay of employees in similar positions. The role also includes eligibility for equity and benefits.

Applications will be accepted at least until September 4, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.