Senior Deep Learning Engineer - Model Evaluation & AI Systems

at Nvidia

📍 Santa Clara, United States

USD 224,000-431,200 per year

SENIOR

✅ On-site

Used Tools & Technologies

LLM

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.

Machine Learning @ 8 Communication @ 6 NLP @ 4 GPU @ 4 Deep Learning @ 4 AI @ 4 RAG @ 4

Details

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. As a Senior / Principal Deep Learning Engineer — Model Evaluation & AI Systems, you will play a meaningful role in crafting the future of AI and have direct impact on product releases and market positioning.

Responsibilities

Define and build evaluation methodologies for innovative AI models, including large language models (LLMs), retrieval-augmented generation (RAG) systems, agents, and vision/multimodal models.
Build and expand NeMo Evaluator as an open-source platform, focusing on correctness, reproducibility, and ease of adoption.
Build scalable, reproducible evaluation infrastructure, including harnesses, orchestration, and result pipelines running on large GPU clusters.
Collaborate with and engage the open-source community: review contributions, shape the roadmap, and share best practices.
Work alongside model training, inference, and product divisions to provide trusted evaluation signals that inform release and optimization decisions.

Requirements

BS, MS, or PhD in Computer Science, AI, Applied Math, or a related field, or equivalent experience.
Senior-level experience (typically 12+ years) developing or assessing contemporary machine learning and deep learning systems.
Hands-on experience with large language models and NLP, including model behavior analysis and evaluation.
Demonstrated experience contributing to open-source software or building platforms, libraries, or tools used by other engineers.
Ability to take charge of unclear technical challenges and communicate effectively across research, engineering, and product teams.

Ways to Stand Out

Experience building or improving evaluation frameworks, benchmarks, or ML infrastructure used by other teams or external users.
A strong appreciation for evaluation quality, including correctness, reproducibility, and consistency across environments.
Hands-on experience evaluating modern AI systems such as LLMs, RAG pipelines, agents, or multimodal models.
Prior involvement in open-source projects through contributions, reviews, maintenance, or community engagement.
Experience acting as a technical bridge across teams or platforms (e.g., evaluation, training, or agent frameworks), combining architectural understanding with clear communication and influence.

Compensation & Benefits

Base salary range for Level 5: 224,000 USD - 356,500 USD.
Base salary range for Level 6: 272,000 USD - 431,250 USD.
You will also be eligible for equity and benefits. See https://www.nvidiabenefits.com/ and https://www.nvidia.com/en-us/benefits/ for more information.

Additional Information

Applications for this job will be accepted at least until March 7, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment.