NVIDIA
AI computing
Director,SiteReliabilityandSoftwareEngineering-DGXCloud
Neural analysis suggests this role is
optimal for Director candidates.
“Director, Site Reliability and Software Engineering - DGX Cloud at NVIDIA. Skills: Site Reliability and Software Engineering, multi-colo distributed NVIDIA GPU cloud clusters, cluster automation, operational excellence, scalable distributed systems, technical leadership, management, Deep learning platform. manage the software, automation, and operations of the multi-colo distributed NVIDIA GPU cloud clusters. contribute to product strategy”
What You'll Achieve.
deliver projects in tight deadlines; maximize decision making and executive visibility
Industry & Context.
resolving blockages; solve reliability both our internally critical and our externally-visible systems
What They're Looking For.
Must Have
12+ overall years of Experience in engineering management, 5+ years of leadership, Bachelor / Master degree in Computer Science, or equivalent experience, Experience in designing and implementing large-scale distributed systems, Experience in Containers / Virtualization environments/ Cluster solutions, Experience in managing Technical Support / DevOps teams, knowledge in Unix/Linux, Experience implementing tools, process, internal instrumentation, methodologies and resolving blockages, Demonstrated people management and leadership skills, Ability to quickly learn and evaluate new technologies, Ability to influence and establish relationships with other software and IT functional groups such as development, server, storage and security teams
Nice to Have
proven track record of mentoring and coaching team members
What You'll Do.
and operations of the multi-colo distributed NVIDIA GPU cloud clusters
contribute to product strategy
leader for all aspects of cluster automation and operational excellence planning
Manage a team of Software and Site Reliability engineers
including program development
task planning and code reviews
Define team strategy and roadmap
and drive adoption of scalable SDLC practices
and modern practices Nvidia’s DGX Cloud Computing environment
Drive technical projects and provide leadership in an innovative and fast-paced environment
Be responsible for the overall planning
tracking and success of technical projects
Contribute technically to the technical projects for DGX Cloud Computing Services
Interact with key internal stakeholders to provide operational and financial clarity on technical spend
Drive Decision making
visibility and operational rigor across business analytic initiatives such as budget and project & portfolio reporting
Lead efforts related to executive reporting
and operational CTO metrics focusing on continuous improvement and evolution to maximize decision making and executive visibility
How You'll Work.
Team & Collaboration
work with customers across the entire company; work across multiple different levels of technical and organizational leadership; Work closely with project and product management teams; Interact with key internal stakeholders; establish relationships with other software and IT functional groups such as development, server, storage and security teams
Process & Methodology
program development, task planning, overall planning, tracking and success of technical projects, project & portfolio reporting
Full Job Description
NVIDIA's invention of the GPUs 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, we are increasingly known as “the AI computing company”. We are looking to grow our company, and grow our teams with the smartest people in the world. We are looking for you. NVIDIA's GPU is hitting in market for Deep learning which is used in the research community and in industry to help solve many big data problems such as computer vision, speech recognition & translation, life science, image recognition, and natural language processing. NVIDIA GPU Cloud (NGC) is a GPU-accelerated platform that runs everywhere. Data scientists and researchers can now rapidly build, train, and deploy neural network models to address some of the most complicated AI challenges. In this Environment, NVIDIA GPU Cloud computing team is looking for leaders to work for world class Deep learning platform. **What you 'll be doing:** As a Site Reliability and Software Engineering leader in the DGXC Cloud Reliability organization, you will manage the software, automation, and operations of the multi-colo distributed NVIDIA GPU cloud clusters and contribute to product strategy. You will be the leader for all aspects of cluster automation and operational excellence planning and grow your team. You thrive in a fast-paced iterative engineering environment and have experience delivering scalable distributed systems. Most importantly, you will have a track record of having past teams and cross-functional partners respect you as both a technical leader and manager, and are able to work via influence and not direct authority when needed. NVIDIA GPU Cloud Computing team works with customers across the entire company, and the ability to work across multiple different levels of technical and organizational leadership is critical. Operating with scale and speed, our world-class software engineers are
Applying for this Director, Site Reliability and Software Engineering - DGX Cloud role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about NVIDIA?
Real rants from real employees. Read before you apply.