Offer summary

Qualifications:

Bachelor's degree in computer science or related engineering field., 8+ years of professional experience in software engineering., Proficient in C++ and Python with strong knowledge of data structures and algorithms., Experience in machine learning, deep learning, and generative AI, particularly with frameworks like PyTorch..

Key responsibilities:

Integrate PyTorch models into C++ libraries for high-performance APIs.

Develop, maintain, and containerize microservices using Docker.

Collaborate with multi-functional teams in engineering, research, and product development.

Optimize AI SDKs for latency and throughput, leveraging CUDA as needed.

Job description

NVIDIA is looking for an initiative-taking experienced Software Engineer to join the Digital Human Technology group! We are seeking an engineer to support and contribute to the productization of innovative digital human solutions, focusing on building and optimizing AI-powered APIs and microservices, and bridging the gap between ground breaking research and robust, high-performance applications.

What you will be doing:

Integrate PyTorch models into C++ libraries for high-performance APIs
With the research team, push the boundary of generative AI in the Digital human field especially around character animation.
Develop, maintain, and containerize microservices using Docker
Optimize latency and throughput for AI SDKs, leveraging CUDA where necessary.
Debug and fine-tune code on Linux environments.
Collaborate with multi-functional teams spanning engineering, research, and product development.

What we need to see:

Bachelor's degree in computer science, or related engineering, or equivalent experience.
8+ years of professional experience.
Confirmed knowledge of C++ and Python.
Detailed knowledge in data structures and algorithms.
Experience with concurrency concepts.
Strong linear algebra and general math skills.
Knowledge of skeletal character animation
Background in machine learning, deep learning, and/or generative AI, eg neural networks, transformers, back propagation, gradient based optimization.
Knowledge of deep learning frameworks like Pytorch

Ways to stand out from the crowd:

Experience with neural network inference systems like ONNX, TensorRT, GGML.
Knowledge in CUDA and/or graphics APIs.
Experience with container-based software like Docker and Kubernetes.
Enjoys reading research papers
A relevant open source contribution

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the highest performance and lowest power silicon possible? If so, we want to hear from you.

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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