Used Tools & Technologies
Not specified
Required Skills & Competences ?
Communication @ 4 Networking @ 4 System Architecture @ 4 GPU @ 4Details
We are building innovative server systems for GPU accelerated applications, such as Deep Learning. The Data Center Software team architects and develops the end-to-end software and firmware stack for these systems.
Responsibilities
- Lead software activities for NVIDIA's deep learning server platforms from design through production.
- Collaborate with teams across the company to deliver software solutions.
- Drive system architecture for complex server platforms in multi-functional environments.
- Partner across application software, libraries, system software, and firmware teams to design complete software solutions for new server platforms.
- Work directly with major customers to understand their requirements and align their roadmap with NVIDIA's.
- Collaborate with business partners and vendors to shape their products to meet NVIDIA's needs.
- Develop a roadmap of new technologies and protocols and drive their design and adoption.
- Mentor architects and engineering teams to grow them into future leaders.
- Make key technical decisions involving complex inter-component dependencies.
Requirements
- Deep experience in designing architecture for scalable and performant server systems, especially at the software/hardware interface.
- Understanding of HPC or Deep Learning workloads and use of accelerated computing platforms.
- Expertise in Out of Band and In-band management architectures.
- Knowledge of server system architecture and implications of architectural decisions on overall application performance.
- Experience implementing left shift strategy to de-risk program execution.
- Excellent written and verbal communication skills.
- BS or MS degree in Computer Engineering, Computer Science, or related field or equivalent experience.
- 10+ years in system architecture and design.
Ways to Stand Out
- Knowledge of cloud and cluster-level deployment and management systems.
- Strong background in device management protocols such as Redfish, IPMI, MCTP, PLDM, and RDE.
- Knowledge in storage and networking technologies.
About NVIDIA
NVIDIA leads groundbreaking developments in AI, High-Performance Computing, and Visualization. The GPU is central to products and services enabling AI, autonomous cars, and more. NVIDIA is committed to diversity and equal opportunity.
Compensation
Base salary range: 224,000 USD - 425,500 USD, determined by location, experience, and peer pay. Equity and benefits are also available.
NVIDIA accepts applications on an ongoing basis.