Used Tools & Technologies
Not specified
Required Skills & Competences
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.
Software Development @ 4
Python @ 7
Leadership @ 4
Performance Optimization @ 4
GPU @ 4
Deep Learning @ 7
AI @ 7
Reinforcement Learning @ 4
Agentic AI @ 4
- 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
NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as "the AI computing company".
We are looking for an outstanding Senior Agentic AI Engineer to build groundbreaking multi-modal agentic AI solutions for the NVIDIA software stack. As a member of the team, you will develop new agentic AI solutions to accelerate software design, code generation, performance improvement, testing and every component in the software development lifecycle. You will collaborate closely across internal teams and organizations and see your work used in products all over the world.
Responsibilities
- Collaborate with software and hardware teams to identify high-impact opportunities for applying agentic AI technologies.
- Lead the design, development, and optimization of agentic AI solutions that address challenges in performance, quality, and productivity.
- Develop and maintain agentic AI benchmarks to evaluate performance across diverse use cases.
Requirements
- Bachelor's degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); MS or PhD preferred.
- 3+ years industry or academia experience with AI systems development.
- Exposure to building foundation models, reinforcement learning, agents, or orchestration frameworks.
- Hands-on experience with deep learning frameworks and inference stacks.
- Strong C/C++ and Python programming skills and solid software engineering fundamentals.
- Outstanding problem-solving abilities and effective interpersonal skills.
Ways to stand out
- Hands-on experience with multimodal agentic AI frameworks.
- Deep expertise in building, training, and fine-tuning foundation models.
- Experience designing, executing, and analyzing AI model evaluation and benchmarking.
- Open-source leadership in deep learning, agentic AI systems, or reinforcement learning.
- Experience with GPU programming and performance optimization.
Compensation & Benefits
- Base salary range: 140,000 USD - 224,250 USD (determined based on location, experience, and pay of employees in similar positions).
- Eligible for equity and benefits (see company's benefits page).
Additional information
- Applications accepted at least until April 2, 2026. This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer.