

NVIDIA has been defining computer graphics, PC gaming, and accelerated computing for more than 25 years. With an outstanding legacy of innovation, driven by phenomenal technology, and extraordinary people, NVIDIA is looking for a strong technical principal architect to join us in shaping the future. Principal Architects are innovators who can translate business needs into workable technology solutions. Their expertise is deep and broad. They are hands on, producing both detailed technical work and high-level architectural designs. As a principal architect in the Advanced Development team, you will explore technological challenges on accelerate networking and building AI data centers. Research new transport functions and semantics for optimizing AI workloads You will also be leading architectural and development efforts across numerous technological fields, related to the modern data center, such as distributed AI and deep learning solutions, data analytics, High Performance Computing (HPC), Software Defined Networking (SDN), virtualization, storage, and more.
What you’ll be doing:
Enhance NVIDIA's future GPU Networking offerings for accelerating AI workloads.
Lead vision, architecture and design of such technologies.
Lead proof-of-concept development to evaluate and drive such technologies.
Identify and evaluate new technologies, innovations and partner relationships for alignment with our technology roadmap and business value.
Work with the community and maintainers to drive strategic technologies
What we need to see:
Hold a M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering from a leading university (or equivalent experience).
8+ years of industry experience (or equivalent) in systems architecture or related fields.
Experienced in virtualization, networking and storage.
Experienced in either Windows or Linux drivers, with a very good background of the other OS.
Deep understanding of performance profiling and optimization techniques, together with defining and using HW offloads.
A teammate with a can-do attitude, high energy and excellent interpersonal skills.
Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.
Ways to stand out from the crowd:
Shown research track record.
Have experience and passion for system architecture,CPU/GPU/memory/storage/networking.
Stellar communication skills.
Knowledge in Deep Learning frameworks
משרות נוספות שיכולות לעניין אותך

As a Senior Robotics Software Engineer on the Isaac Applications Team, you will help build the platform for Physical AI robots — enabling sim-first development, real-world deployment, and continuous learning to make them smarter over time. The ideal candidate will have strong software engineering skills for (soft) realtime robotics applications and real-world experience with multi-body robots, such as humanoids or quadrupeds.
What You Will Be Doing
Bring the latest advancements in Physical AI to simulated and real humanoid robots by building the humanoid reference platform showcasing the power of NVIDIA's technology.
Collaborate across team boundaries to integrate NVIDIA robotics products such as Jetson Thor, Isaac Gr00t, and Isaac Sim/Lab into one solution for humanoid robots.
Take on a variety of challenges, bridging between research and commercial environments.
You will be deploying and testing your software on real robots in the lab.
What we need to see:
Master's degree in Robotics, Computer Science, Engineering, or a related field, or equivalent experience.
5+ years of experience.
Proven experience in designing and building real-time robotics software stacks.
Demonstrated success in bringing robotics solutions from lab to launch, with direct involvement in implementation and deployment.
Proficiency in Python, C++, PyTorch, CUDA, and middleware. Willingness to learn new languages and tools as needed.
Ability to adapt to fast-paced development lifecycles, multi-functional organizations, new technologies and platforms.
Strong problem-solving skills and the ability to determine the best approach to complex challenges.
Excellent communication skills and a collaborative approach to working effectively with diverse teams.
Ways to Stand out from The Crowd:
Familiarity with NVIDIA robotics products such as Jetson, Isaac Gr00t, Isaac ROS and Isaac Sim/Lab.
Experience with Machine Learning / Reinforcement Learning.
Experience with Bazel.
משרות נוספות שיכולות לעניין אותך

What you'll be doing:
Developing a highly optimized inference framework
Running on the world’s largest supercomputers and data centers.
The work environment is dynamic and challenging as our employees work on innovative, next-generation products at the forefront of technology in terms of performance, scalability, and features.
What we need to see:
B.Sc. or equivalent experience in Computer Science or Software Engineering
5 years’ experience in modern C++ / C / Rust development
3 years’ experience in Linux environment and familiarity with development tools
Deep knowledge of the TCP/IP network stack
Understanding of computer architecture and operating systems concepts
Ways to stand out from the crowd:
Background in Linux internals and low-level software optimizations (benchmarking, bottleneck research, performance tuning)
Experience in programming CUDA kernels is an advantage
Familiarity with ML frameworks and LLMs
Background in parallel programming / high-performance computing / RDMA technology
משרות נוספות שיכולות לעניין אותך

NVIDIA has been defining computer graphics, PC gaming, and accelerated computing for more than 25 years. With an outstanding legacy of innovation, driven by phenomenal technology, and extraordinary people, NVIDIA is looking for a strong technical principal architect to join us in shaping the future. Principal Architects are innovators who can translate business needs into workable technology solutions. Their expertise is deep and broad. They are hands on, producing both detailed technical work and high-level architectural designs. As a principal architect in the Advanced Development team, you will explore technological challenges on accelerate networking and building AI data centers. Research new transport functions and semantics for optimizing AI workloads You will also be leading architectural and development efforts across numerous technological fields, related to the modern data center, such as distributed AI and deep learning solutions, data analytics, High Performance Computing (HPC), Software Defined Networking (SDN), virtualization, storage, and more.
What you’ll be doing:
Enhance NVIDIA's future GPU Networking offerings for accelerating AI workloads.
Lead vision, architecture and design of such technologies.
Lead proof-of-concept development to evaluate and drive such technologies.
Identify and evaluate new technologies, innovations and partner relationships for alignment with our technology roadmap and business value.
Work with the community and maintainers to drive strategic technologies
What we need to see:
Hold a M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering from a leading university (or equivalent experience).
8+ years of industry experience (or equivalent) in systems architecture or related fields.
Experienced in virtualization, networking and storage.
Experienced in either Windows or Linux drivers, with a very good background of the other OS.
Deep understanding of performance profiling and optimization techniques, together with defining and using HW offloads.
A teammate with a can-do attitude, high energy and excellent interpersonal skills.
Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.
Ways to stand out from the crowd:
Shown research track record.
Have experience and passion for system architecture,CPU/GPU/memory/storage/networking.
Stellar communication skills.
Knowledge in Deep Learning frameworks
משרות נוספות שיכולות לעניין אותך