Overview
Remote
USD 184,000.00 per year
Full Time
Skills
GPU
Speech Recognition
Natural Language Processing
Team Building
Open Source
Computer Science
Computer Engineering
Agile
Python
C++
Software Design
Performance Analysis
Quality Assurance
Machine Learning (ML)
Algorithms
Large Language Models (LLMs)
PyTorch
TensorFlow
Cloud Computing
HTTP
JSON
Docker
Kubernetes
Debugging
Data Storage
Research
Real-time
Deep Learning
Artificial Intelligence
Recruiting
Promotions
SAP BASIS
Law
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:
Ways to stand out from the crowd:
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.
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.