英伟达Senior Software Engineer- Networking and Virtualization
任职要求
• Bachelor or above in Computer Science or computer engineering or related discipline. • 5+ years of practical experience. • Strong C/C++ programming skills (user and/or kernel modes). • Experiences using C/C++, Python in Linux hands-on development. • Deep networking knowledge and familiar with protocols such as VLAN, GRE, VXLAN, MPLS, IPSEC, PSP, etc. • Experience with cloud-networking and virtualization tec…
工作职责
NVIDIA is seeking for an experienced Software Engineer with a strong background in networking and virtualization technologies. This full-time position requires close collaboration with other NVIDIA SW and SW architecture teams, pre-sale teams and different industry leading architecture and RnD teams to develop leading SW solutions and stack, to provide the full solution for NVIDIA's superior Connect-X NICs and Bluefield DPUs. The role requires a strong knowledge of server/Cloud networking and virtualization technologies and top SW development skills. What you’ll be doing: • Working with NVIDIA top customers RnD, getting familiar with their applications and needs with NVIDIA Product. • Building cutting edge POC prototypes which later to be productize and delivered. • Closely work with NVIDIA various development and architecture teams and take major part of SW development.
NVIDIA is seeking for an experienced Software Engineer with a strong background in networking and virtualization technologies. This full-time position requires close collaboration with other NVIDIA SW and SW architecture teams, pre-sale teams and different industry leading architecture and R&D teams to develop leading SW solutions and stack. The role requires a strong knowledge of server/Cloud networking and virtualization technologies and top SW development skills. Kernel & DPDK background is strongly preferred. What you’ll be doing: • Working with NVIDIA top customers RnD, getting familiar with their applications and needs. • Building cutting edge POC prototypes which later to be productize and delivered. • Closely work with various development and architecture teams and take major part of SW development.
NVIDIA is seeking for an experienced Software Engineer with a strong background in networking and virtualization technologies. This full-time position requires close collaboration with other NVIDIA SW and SW architecture teams, pre-sale teams and different industry leading architecture and R&D teams to develop leading SW solutions and stack. The role requires a strong knowledge of server/Cloud networking and virtualization technologies and top SW development skills. Kernel & DPDK background is strongly preferred. What you’ll be doing: • Working with NVIDIA top customers RnD, getting familiar with their applications and needs. • Building cutting edge POC prototypes which later to be productize and delivered. • Closely work with various development and architecture teams and take major part of SW development.
NVIDIA data center systems, such as DGX and HGX, have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. These platforms bring together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA InfiniBand networking, NVIDIA Grace CPUs, and a fully optimized NVIDIA AI and HPC software stack. We are hiring Sr. Software Engineer who will help build simulators for our DGX Server platforms. Simulations play a significant role in building scalable systems at Speed of Light! You will work with world class engineering teams across HW and SW. What you’ll be doing: • Contribute to architect and develop simulation platform for next-gen NVIDIA DGX platforms. • Build, integrate and enhance simulator components with new HW features and write supporting technical documents. • Bring full SW stack up on DGX Simulator; work closely with hardware modeling, kernel & platform driver teams distributed globally. • Improve performance, fix bugs across user and kernel stack, and automate execution flow.
THE ROLE We're the small, expert team creating the next-generation server-side infrastructure to support the manufacturing and functionality of fleets of Tesla products, and we're looking for seasoned SREs with domain expertise in one or more of: containers, public clouds and cloud-native apps. Today, Tesla owners rely on our services to safely and securely summon their cars with a tap on their mobile phones -- a feature enabled by one of the many over-the-air updates we've delivered to the Tesla vehicle fleet. Tesla engineering relies on our data and analytics platform to make Tesla products better and safer. And, when an owner needs assistance, Tesla service and support rely our applications to understand and respond to the situation. Tomorrow, we will apply fleet learning to dispatch and deliver real-time road conditions to millions of autonomous vehicles and manage distributed energy generation & storage at grid scale. Join us and you will work alongside world-class software and data engineers on some of the newest and most challenging IoT, manufacturing and service engineering problems in the world today. The platform you help us build and automate will be used daily by millions of Tesla owners (and tens of thousands of Tesla employees) to improve and enhance the functionality of our cars, chargers, and batteries worldwide. RESPONSIBILITIES Design and write software that enables rapid prototyping by development teams, while ensuring the highest levels of reliability and availability. Work directly with our factory firmware team to provide highly available factory-facing services. Drive the migration of large-scale, distributed fleet applications towards cloud-native microservices. Influence architectural decisions with focus on security, scalability and high-performance. Automate the build and deployment of infrastructure using Docker, Kubernetes & other orchestration technologies in a hybrid-cloud environment. Setup and maintain monitoring, metrics & reporting systems for fine-grained observability and actionable alerting.