Engineering Manager - DGX Cloud
US, CA, Santa Clara
NVIDIA
NVIDIA erfindet den Grafikprozessor und fördert Fortschritte in den Bereichen KI, HPC, Gaming, kreatives Design, autonome Fahrzeuge und Robotik.NVIDIA is hiring an engineering manager to help scale up its AI Infrastructure. We expect you to have significant experience leading a team of developers, a technical understanding of distributed systems, familiarity with software testing and deployment, and excellent communication and planning abilities. We also welcome out-of-the-box thinkers who can provide new ideas with strong execution bias. Expect to be constantly challenged, improving, and evolving for the better. You and the engineers you lead in this team will help advance NVIDIA's capacity to build and deploy leading infrastructure solutions for a broad range of AI-based applications that affect core data science. What are you waiting for if you're creative, passionate about what you do, and love having fun apply today!
For two decades, we have pioneered visual computing, the art and science of computer graphics. With the invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning.
What you will be doing:
Leading a strong engineering team that is designing and architecting a comprehensive platform that automates GPU asset provisioning, configuration, and lifecycle management across cloud providers.
Implementing monitoring and health management capabilities that enable industry leading reliability, availability, and scalability of GPU assets. You will be harnessing multiple data streams, ranging from GPU hardware diagnostics to cluster and network telemetry, we can predict system failures in order to optimize workload success rates.
Work with other engineering managers and teams across NVIDIA to ensure your software integrates seamlessly from the hardware all the way up to the AI training applications.
What we need to see:
Direct management experience within highly technical organizations and experience working with product managers and technology leaders across an organization.
Highly motivated with strong communication skills, you can work successfully with multi-functional teams, principles, and architects and coordinate effectively across organizational boundaries and geographies.
5+ years of managing software teams and experience managing individuals who work on large-scale production systems.
You possess a BS in Computer Science, Engineering, Physics, or mathematics or a comparable Degree or equivalent experience.
8+ years of overall experience
Technical knowledge, including a systems programming language (Go, Python) and a solid understanding of Data Structure and Algorithms.
Ways to stand out from the crowd:
Technical competency in architecting and managing large-scale distributed systems independent of cloud providers. Advanced hands-on experience and deep understanding of cluster management systems (Kubernetes, Slurm, Bright Cluster Manager)
Proven operational excellence in leading teams that are designing and maintaining AI infrastructure
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and dedicated people on the planet working for us. If you're creative and autonomous, we want to hear from you!
The base salary range is 220,000 USD - 419,750 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.Tags: Computer Science Deep Learning Distributed Systems Engineering GPU Kubernetes Mathematics ML infrastructure Physics Python Research Testing
Perks/benefits: Career development Equity / stock options Health care
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