Senior System Software Engineer - Triton Inference Server

4 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.

Similar Jobs

Samsung Semiconductor - AI Software Tools Technical Lead

Samsung Semiconductor

San Jose, California, United States (On-Site)
1 Month ago
Scale AI - SEAL Research Scientist, Agent Robustness

Scale AI

San Francisco, California, United States (On-Site)
1 Month ago
Google - Senior Software Engineer, Generative AI, Google Cloud AI

Google

Sunnyvale, California, United States (On-Site)
1 Month ago
ByteDance - Research Scientist in ML Systems

ByteDance

San Jose, California, United States (On-Site)
7 Months ago
Western Digital - Data Scientist

Western Digital

Prachin Buri, Thailand (On-Site)
1 Month ago
Microsoft - Technical Support Engineer (Data and AI Intelligent Platform)

Microsoft

Selangor, Malaysia (Hybrid)
1 Month ago
Google - Software Engineer, PhD

Google

Sunnyvale, California, United States (On-Site)
1 Month ago
Google - Software Engineer III, Education AI Platform

Google

Mexico City, Mexico City, Mexico (On-Site)
1 Month ago
NVIDIA - Senior Applied LLM Engineer, AI – Chip Design

NVIDIA

Canada (On-Site)
3 Months ago
Zoox - Senior/Staff Software Engineer - Simulator

Zoox

Foster City, California, United States (Hybrid)
7 Months ago

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

Snloker AI - AI/ML Developer Advocate

Snloker AI

San Francisco, California, United States (On-Site)
1 Month ago
Pentair - Engineer- Data Science

Pentair

Noida, Uttar Pradesh, India (On-Site)
1 Month ago
Google - Software Engineer III, Generative AI

Google

Sunnyvale, California, United States (On-Site)
1 Month ago
Reddit - Senior Staff Machine Learning Engineer, Ads Targeting

Reddit

United States (Remote)
2 Weeks ago
ByteDance - Backend Engineer (Model Inference), Machine Learning Systems

ByteDance

Singapore (On-Site)
7 Months ago
ByteDance - Tech Expert - Machine Learning Infrastructure

ByteDance

Singapore (On-Site)
6 Months ago
Scale AI - Head of Frontier Data Operations

Scale AI

San Francisco, California, United States (On-Site)
1 Month ago
Adobe - Machine Learning Applied Researcher

Adobe

Bucharest, Bucharest, Romania (On-Site)
1 Month ago
Hashlist - Data Scientist

Hashlist

Bengaluru, Karnataka, India (Hybrid)
6 Months ago
Match Group - Senior ML Software Engineering Team Leader

Match Group

Seoul, South Korea (Hybrid)
7 Months ago

Get notifed when new similar jobs are uploaded

Jobs in California, United States

Rackspace Technology - Client Partner V - Midwest

Rackspace Technology

United States (Remote)
1 Month ago
Zoox - Staff/Senior Technical Operations Engineer

Zoox

Foster City, California, United States (On-Site)
7 Months ago
Reddit - Manager, Mid-Market Sales (Services)

Reddit

San Francisco, California, United States (On-Site)
2 Weeks ago
Vidsy - Head of Business Development

Vidsy

New York, New York, United States (Hybrid)
1 Month ago
Riot Games - Senior Service Reliability Analyst

Riot Games

Los Angeles, California, United States (On-Site)
1 Year ago
Christ Fellowship - Food and Beverage Coordinator

Christ Fellowship

Palm Beach Gardens, Florida, United States (On-Site)
2 Weeks ago
WPI - Summer Program Assistant Director-- Junior Academy at Mass Academy

WPI

Worcester, Massachusetts, United States (On-Site)
1 Month ago
Ramboll - Senior Managing Consultant, Air & Climate, Life Sciences Focus

Ramboll

Ann Arbor, Michigan, United States (Hybrid)
8 Months ago
Nintendo - Associate Training Specialist

Nintendo

Redmond, Washington, United States (On-Site)
1 Month ago
Google - Data Center Plant Engineer, Mechanical

Google

Phoenix, Arizona, United States (On-Site)
1 Month ago

Get notifed when new similar jobs are uploaded

Artificial Intelligence Jobs

Google - Senior Software Engineer, Generative AI, Google Cloud AI

Google

Sunnyvale, California, United States (On-Site)
1 Month ago
Google - Technical Program Manager III, AI/ML, Cloud AI Systems

Google

Austin, Texas, United States (On-Site)
1 Month ago
NVIDIA - Senior Software Engineer, TensorRT-LLM

NVIDIA

California, United States (Hybrid)
2 Months ago
Meta - Research Scientist Intern, Machine Perception for Input and Interaction (PhD)

Meta

Seattle, Washington, United States (On-Site)
6 Months ago
Inworld AI - AI Trainer (Contractor) - Writing & Gaming

Inworld AI

Vancouver, British Columbia, Canada (Remote)
2 Months ago
Google - Hardware Engineer, PhD, Cloud Platforms

Google

Taipei City, Taiwan (On-Site)
1 Month ago
ByteDance - Senior Software Development Engineer, Large Language Models & Generative AI

ByteDance

San Jose, California, United States (On-Site)
7 Months ago
Inworld AI - Staff C++ Developer

Inworld AI

Vancouver, British Columbia, Canada (On-Site)
2 Months ago
NVIDIA - Solution Architect - AI and ML

NVIDIA

(Remote)
4 Months ago
ByteDance - Research Engineer Graduate (Vision AI Platform)

ByteDance

Seattle, Washington, United States (On-Site)
3 Months ago

Get notifed when new similar jobs are uploaded

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.

Santa Clara, California, United States (On-Site)

Massachusetts, United States (On-Site)

Santa Clara, California, United States (On-Site)

Santa Clara, California, United States (On-Site)

Santa Clara, California, United States (On-Site)

Texas, United States (On-Site)

Santa Clara, California, United States (Hybrid)

Santa Clara, California, United States (Hybrid)

Pune, Maharashtra, India (On-Site)

Taipei City, Taiwan (On-Site)

View All Jobs

Get notified when new jobs are added by NVIDIA

Level Up Your Career in Game Development!

Transform Your Passion into Profession with Our Comprehensive Courses for Aspiring Game Developers.

Job Common Plug