Senior System Software Engineer - Triton Inference Server

3 Months ago • 6 Years + • Artificial Intelligence • $184,000 PA - $356,500 PA

Job Summary

Job Description

NVIDIA seeks a Senior System Software Engineer to contribute to the Triton Inference Server. Responsibilities include developing open-source software for AI model inference on GPUs, building robust and scalable software components for distributed inference workloads, prioritizing features with team leads, optimizing prediction throughput, and integrating latest open-source technologies. The ideal candidate possesses strong Python/C++ skills, experience with high-scale distributed systems and ML systems, and familiarity with deep learning frameworks like PyTorch, TensorFlow, TensorRT, and ONNX Runtime. Experience with cloud services (HTTP REST, gRPC), container technologies (Docker, Kubernetes), and debugging across multiple software layers is highly valued.
Must have:
  • 6+ years experience in relevant field
  • Excellent Python/C++ programming skills
  • Experience with high-scale distributed systems
  • Experience with ML systems
  • Software design, debugging, performance analysis
Good to have:
  • Deep learning algorithm background
  • Experience with PyTorch, TensorFlow, TensorRT, ONNX Runtime
  • Cloud service deployment experience (HTTP REST, gRPC)
  • Experience with Docker and Kubernetes
  • Familiarity with latest AI research
Perks:
  • Equity
  • Benefits

Job Details

We are now looking for a Senior System Software Engineer to work on 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

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

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

  • Excellent 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:

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

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

  • Experience with container technologies, such as Docker and container orchestrators, such as Kubernetes.

  • Excellent debugging abilities spanning multiple software (storage systems, kernels and containers)

  • 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.

#LI-Hybrid 

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.

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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