Senior System Software Engineer - Dynamo at NVIDIA

Santa Clara, California, United States -

Full Time

Start Date

Immediate

Expiry Date

02 May, 26

Salary

287500.0

Posted On

01 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Rust, Python, C++, Software Design, Debugging, Performance Analysis, Test Design, Distributed Systems, ML Systems, AI Inference Systems, Deep Learning, Cloud Services, HTTP REST, gRPC, Protobuf, JSON

Industry

Computer Hardware Manufacturing

Description

We are now looking for a Senior System Software Engineer to work on Dynamo. 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 3+ 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. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until February 3, 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 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 is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Responsibilities

In this role, you will develop open source software to serve inference of trained AI models running on GPUs. You will build robust, scalable, high performance software components to support distributed inference workloads.