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Urgent! Senior Cloud Platform Software Engineer Job Opening In Seattle – Now Hiring NVIDIA
NVIDIA is on the journey to build the best cloud offering for AI workloads and to bring its latest GPU technology to our clients as a set of managed services under the DGX Cloud umbrella.
We want to be able to innovate on behalf of our clients and provide an easy, no-hassle way of using the latest and greatest NVIDIA products through scalable managed self-service APIs. We are looking for a Cloud Platform Engineer to drive the technical design and build foundational elements of our high-performing cloud services for Artificial Intelligence and high-performance computing.
This is a unique opportunity to be a founding member of a team building at the intersection of a highly scalable fault-tolerant cloud services and AI.
If you are passionate about IaC and you can argue why declarative infra is the way to go, can explain Kubernetes PDB to your family in under 5 minutes, or If you always felt that Kubernetes is great, but this not the ultimate goal and always wanted to extend it and turn into the distributed operating system for AI, you are a perfect fit to join our team!
What you'll be doing:
+ As a part of the service team, build and design platforms for DGX Cloud services
+ Figure out how to take best from HPC and Kubernetes and help us make the unified platform
+ Work within the team of software engineers and product people as well as engineering teams across all of NVIDIA on DGX Cloud AI Compute services
+ Write IaC code, work on Kubernetes, and help the team to design and implement release pipelines
+ Collaborate to understand how to make the best use of GitOps and Pipelines
What we need to see:
+ BS in Computer Science, Information Systems, Computer Engineering or equivalent experience
+ Solid technical foundation in distributed computing and storage, including substantial experience with all of the following: server systems, storage, I/O, networking, and system software
+ 12+ years of platform engineering experience on large-scale production systems
+ Kubernetes and IaC expertise as an engineer
+ Ability to understand and communicate complex designs, distributed infrastructure, and requirements to peers, customers, and vendors
+ General shared storage knowledge such as NFS, LustreFS, GlusterFS, etc.
+ Familiarity with system-level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO.
Ways to stand out from the crowd:
+ Proven experience in high performance computing, Deep Learning, and/or GPU accelerated computing domains
+ Large-scale distributed system, HPC, ML and Training experience with Slurm and Kubernetes
+ Deep knowledge of both software and hardware knowledge in HPC and ML infrastructure
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization.
The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.
Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars.
NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
The base salary range is 224,000 USD - 356,500 USD.
You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) .
Applications for this job will be accepted at least until September 22, 2025.
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.
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Unlock Your Senior Cloud Potential: Insight & Career Growth Guide
Real-time Senior Cloud Jobs Trends in Seattle, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Senior Cloud in Seattle, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 197833 jobs in United States and 2785 jobs in Seattle. This comprehensive analysis highlights market share and opportunities for professionals in Senior Cloud roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! NVIDIA is currently hiring and seeking a Senior Cloud Platform Software Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Senior Cloud Platform Software Engineer Jobs Seattle.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at NVIDIA adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Senior Cloud Platform Software Engineer Jobs United States varies, but the pay scale is rated "Standard" in Seattle. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Senior Cloud Platform Software Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Senior Cloud Platform Software Engineer interview at NVIDIA, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the NVIDIA's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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