NVIDIA
System Software Engineer
NVIDIA, Austin, Texas, us, 78716
We are now looking for a 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 deep learning, enabling breakthroughs in problems from image classification to speech recognition to natural language processing. We are a fast-paced team building tools and software to make design and deployment of new deep learning models easier and accessible to more data scientists.
What You'll Be Doing
In this role, you will develop software to serve predictions from trained neural networks running on GPUs. You will be an active member of the open source deep learning software engineering community. You will balance a variety of objectives: build robust software that can be deployed in production server or cloud settings; 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 in Computer Science, computer architecture, or related field3+ years of experienceAbility to work in a fast-paced, agile team environmentExcellent C++ programming and software design skills, including debugging, performance analysis, and test design. Python experience also helpfulKnowledge of distributed systems programming
Ways To Stand Out From The Crowd
Excellent troubleshooting abilities spanning multiple software (storage systems, kernels and containers)Background with deep learning algorithms and frameworks. Especially experience with Large Language Models and frameworks such as PyTorch, TensorFlow, TensorRT, and ONNX Runtime.Experience contributing to a large open source project - use of GitHub, bug tracking, branching and merging code, OSS licensing issues handling patches, etc.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.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most experienced 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 dynamic and quickly growing field of Deep Learning and Artificial Intelligence.
The base salary range is 116,000 USD - 224,250 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 is 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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What You'll Be Doing
In this role, you will develop software to serve predictions from trained neural networks running on GPUs. You will be an active member of the open source deep learning software engineering community. You will balance a variety of objectives: build robust software that can be deployed in production server or cloud settings; 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 in Computer Science, computer architecture, or related field3+ years of experienceAbility to work in a fast-paced, agile team environmentExcellent C++ programming and software design skills, including debugging, performance analysis, and test design. Python experience also helpfulKnowledge of distributed systems programming
Ways To Stand Out From The Crowd
Excellent troubleshooting abilities spanning multiple software (storage systems, kernels and containers)Background with deep learning algorithms and frameworks. Especially experience with Large Language Models and frameworks such as PyTorch, TensorFlow, TensorRT, and ONNX Runtime.Experience contributing to a large open source project - use of GitHub, bug tracking, branching and merging code, OSS licensing issues handling patches, etc.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.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most experienced 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 dynamic and quickly growing field of Deep Learning and Artificial Intelligence.
The base salary range is 116,000 USD - 224,250 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 is 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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