Senior System Software Engineer - Dynamo and Triton Inference Server

NVIDIA; United States; Remote; USD 184,000 - 357,000; Full time

Job summary

NVIDIA is looking for a Senior System Software Engineer to enhance their GPU-accelerated deep learning software. You'll develop open-source solutions for AI model inference, focusing on high-performance components and optimization. This is an opportunity to work in a fast-paced team at the forefront of AI technology.

Benefits

Eligible for equity

Comprehensive benefits package

Qualifications

• 8+ years of experience in Computer Science, Computer Engineering, or equivalent.
• Ability to work in a fast-paced, agile team environment.
• Experience with deep learning algorithms and frameworks like PyTorch and TensorRT.

Responsibilities

• Develop open source software for inference of trained AI models on GPUs.
• Build robust, scalable software components for distributed inference workloads.
• Optimize prediction throughput under latency constraints.

Skills

Rust

Python

C++

Debugging

Performance Analysis

Test Design

High Scale Distributed Systems

ML Systems

Education

Masters or PhD in Computer Science or related field

Job description

We are now looking for a Senior System Software Engineer to work on Dynamo & Triton Inference Server! NVIDIA is hiring software engineers for its GPU-accelerated deep learning software team. Academic and commercial groups around the world are using GPUs to power a revolution in AI, enabling breakthroughs in problems from image classification to speech recognition to natural language processing. We are a fast-paced team building back-end services and software to make design and deployment of new AI models easier and accessible to all users.

What you'll be doing:

In this role, you will develop open source software to serve inference of trained AI models running on GPUs. You will balance a variety of objectives: build robust, scalable, high performance software components to support our distributed inference workloads; work with team leads to prioritize features and capabilities; load-balance asynchronous requests across available resources; optimize prediction throughput under latency constraints; and integrate the latest open source technology.

What we need to see:

• Masters or PhD or equivalent experience

• 8+ years in Computer Science, Computer Engineering, or related field

• Ability to work in a fast-paced, agile team environment

• Excellent Rust/Python / C++ programming and software design skills, including debugging, performance analysis, and test design.

• Experience with high scale distributed systems and ML systems

Ways to stand out from the crowd:

• Prior work experience improving performance of AI inference systems.

• Background with deep learning algorithms and frameworks. Especially experience Large Language Models and frameworks such as PyTorch, TensorRT, and ONNX Runtime.

• Experience building and deploying cloud services using HTTP REST, gRPC, protobuf, JSON and related technologies.

• Have familiarity with the latest AI research and working knowledge of how these systems are efficiently implemented.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most expert and passionate people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you. Come help us build the real-time, efficient computing platform driving our success in the multifaceted and quickly growing field Deep Learning and Artificial Intelligence.

The base salary range is 184,000 USD - 356,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse 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.