- Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Engineering Manager, Internal GPU and HPC Computing Clusters.
Urgent! Engineering Manager, Internal GPU and HPC Computing Clusters Job Opening In Bengaluru – Now Hiring NVIDIA
At NVIDIA, we constantly innovate to amplify human intelligence.
Our invention of the GPU sparked revolutions in gaming, computer graphics, and parallel computing.
Now, GPU deep learning is driving modern AI forward.
Join our GPU AI/HPC Infrastructure team and lead the design of groundbreaking GPU compute clusters for demanding AI, HPC, and compute-intensive workloads.
In this role, you'll lead and operate substantial AI GPU Clusters at unprecedented scale.
You'll build an extraordinary team to optimize datacenter resource usage, drive operational excellence through automation, and create a cost-effective global computing infrastructure.
Help us solve strategic challenges and implement methodologies, tools, and metrics for effective resource utilization in a heterogeneous compute environment.
Make the choice to join NVIDIA today and shape the future of AI computing!
What you'll be doing:
+ Building and improving our ecosystem around GPU-accelerated computing including developing large scale automation solutions.
+ Supporting our researchers to run their flows on our clusters including performance analysis and optimizations of deep learning workflows.
Improving reliability and overall Researcher Productivity.
+ Architect and implement brand new strategies to optimize the utilization of our AI computing clusters, driving operational efficiency and resource maximization.
+ Pioneer innovative solutions to streamline support processes, enabling our team to manage an unprecedented scale of GPU resources (10,000+ GPUs per support personnel).
+ Lead the charge in building a future-proof AI computing infrastructure, ensuring seamless scalability and resilience to power groundbreaking AI models and applications.
+ Collaborate with multi-functional teams to identify bottlenecks and opportunities for optimization, continuously improving the performance and cost-effectiveness of our AI computing operations.
+ Empower your team with the tools, processes, and standard methodologies necessary to thrive in a dynamic, high-intensity environment, fostering a culture of operational excellence and continuous improvement
What we need to see:
+ Bachelor’s degree or equivalent experience in Computer Science, Electrical Engineering or related field or similar area.
+ Minimum 4 years of experience leading AI/ML and software development teams as a people manager with 10+ overall years of relevant experience.
+ Consistent track record of leading high-performance teams in delivering innovative solutions to complex computational challenges, with a demonstrated ability to drive operational excellence and continuous improvement.
+ Exceptional problem-solving skills, with the ability to analyze complex systems, identify bottlenecks, and implement scalable solutions that can accommodate the ever-increasing demands of AI computing.
+ Shown leadership capabilities, with the ability to inspire and motivate multi-functional teams, fostering a culture of collaboration, innovation, and steadfast pursuit of operational excellence.
+ Strong communication and collaborator management skills, enabling you to effectively articulate technical concepts to diverse audiences and align priorities across the organization.
+ A passion for pushing the boundaries of what's possible in AI computing, with an aim to continuously explore and implement emerging technologies and standard processes to maintain our competitive edge.
+ Strong people management and team-building skills.
Can coach and grow talent, cultivate healthy engineering culture, and attract/retain talent.
Ability to build a diverse, broad, and impactful team.
Ways to stand out from the crowd:
+ Experience with Machine Learning and Deep Learning concepts, algorithms and models
+ Familiarity with InfiniBand with IBOP and RDMA
+ Understanding of fast, distributed storage systems like Lustre and GPFS for AI/HPC workloads
+ Familiarity with deep learning frameworks like PyTorch and TensorFlow
#LI-Hyrbid
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your Engineering Manager Potential: Insight & Career Growth Guide
Real-time Engineering Manager Jobs Trends in Bengaluru, India (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 Engineering Manager in Bengaluru, India 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 356482 jobs in India and 28041 jobs in Bengaluru. This comprehensive analysis highlights market share and opportunities for professionals in Engineering Manager 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 Engineering Manager, Internal GPU and HPC Computing Clusters to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Engineering Manager, Internal GPU and HPC Computing Clusters Jobs Bengaluru.
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 Engineering Manager, Internal GPU and HPC Computing Clusters Jobs India varies, but the pay scale is rated "Standard" in Bengaluru. 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 Engineering Manager, Internal GPU and HPC Computing Clusters 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.
To improve your chances of getting hired for Engineering Manager, Internal GPU and HPC Computing Clusters, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Engineering Manager, Internal GPU and HPC Computing Clusters 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!
Setting up job alerts for Engineering Manager, Internal GPU and HPC Computing Clusters is easy with India Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!