Senior Software Engineer, Digital Human Technology

Posted Yesterday
Be an Early Applicant
6 Locations
Remote
184K-357K
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The engineer will build and optimize AI-powered APIs, integrate models into C++ libraries, and develop microservices. They will collaborate with teams and focus on performance optimization.
Summary Generated by Built In

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.

Top Skills

C++
Cuda
Docker
Python
PyTorch
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The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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