Senior Research Engineer - Enterprise Products

NVIDIA Corporation; Washington; Hybrid; USD 192,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking a Senior Research Engineer with a passion for Generative AI inference. You will help shape how AI is infused into products by developing optimized inferencing technologies and collaborating across research, engineering, and open-source communities.

Ideal candidates have 8+ years in deep learning frameworks (PyTorch or TensorFlow), strong CS fundamentals, and experience evaluating LLMs or agentic benchmarks.

Qualifications

• Bachelor's or Master's in CS or equivalent experience.
• 8+ years in DL frameworks (PyTorch or TensorFlow).
• Experience designing or running LLM evaluations/benchmarks.
• Understanding ML, DNNs, NLP, or Speech Recognition.
• Empirical research mindset: form hypotheses, calibrations, iterations.
• Strong communication and interpersonal skills in a distributed team.
• Mentoring junior engineers and interns is a plus.
• Desire to grow and learn; strong CS fundamentals in algorithms and distributed computing.

Responsibilities

• Design and evaluate routing policies for LLM traffic to best use mixture of model systems.
• Build and run agentic benchmarks and turn results into calibration data and routing profiles.
• Collaborate with engineering teams across NVIDIA to ensure seamless integration within the serving stack.

Skills

DL frameworks

PyTorch

TensorFlow

LLM benchmarks

Distributed systems

NLP

Research mindset

Communication

Education

Bachelors or Masters in CS

Tools

CUDA

GPU architecture

Linux

Job description

We are now looking for a Senior Research Engineer passionate about Generative AI inference. Are you excited to change the way people infuse AI into products and services? NVIDIA is at the forefront of generative AI models, from language to images. NVIDIA provides building blocks to democratize AI and make generative AI easy to develop, integrate, and deploy. Our team is dedicated to developing optimized inferencing technologies to support our growing generative AI needs. We contribute to all steps of the machine learning lifecycle: from conceptualization, to applied research, engineering for optimized inference, and deployment. Collaborate with research teams, engineers, and open-source community.

What you will be doing:

• Design and evaluate routing policies for LLM traffic to best use mixture of model systems.
• Build and run agentic benchmarks (e.g., Terminal-Bench ) to measure algorithm quality, and turn results into calibration data and routing profiles Ship to an open-source repo: design docs, code review, docs, and community contributions
• Collaborating with engineering teams across all of NVIDIA to ensure our software integrates seamlessly up and down the NVIDIA accelerated serving stack.

What we need to see:

• Bachelor's of Master's degree in Computer Science or equivalent experience.
• 8+ years of industry experience in Deep Learning frameworks (PyTorch or TensorFlow).
• Experience designing or running LLM evaluations/benchmarks — ideally agentic ones — and drawing statistically sound conclusions from them
• Understanding of modern techniques in Machine Learning, Deep Neural Networks, Natural Language Processing, or Speech Recognition.
• Empirical research mindset: forming hypotheses about new algorithms, running calibrations, iterating on results
• Strong communication and interpersonal skills, along with the ability to work in a dynamic and distributed team.
• A history of mentoring junior engineers and interns is a huge plus.
• A desire to constantly grow and learn new things.
• Strong computer science fundamentals - algorithms and data structures, computational complexity, parallel and distributed computing, system software.

Ways to stand out from a crowd:

• Experience architecting or developing large-scale distributed systems for deep learning.
• Agentic benchmark creation and publications.
• Knowledge of CPU and/or GPU architecture.
• GPU programming (CUDA).

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

The base salary range is 192,000 USD - 304,750 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 14, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.