Engineering Manager, Internal GPU and HPC Computing Clusters at NVIDIA

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial Intelligence, High Performance ComputingIndustries

Requirements

Bachelor’s degree or equivalent experience in Computer Science, Electrical Engineering or related field
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 demonstrated ability to drive operational excellence and continuous improvement
Exceptional problem-solving skills, with ability to analyze complex systems, identify bottlenecks, and implement scalable solutions for AI computing demands
Demonstrated leadership capabilities to inspire and motivate multi-functional teams, fostering collaboration, innovation, and operational excellence
Strong communication and collaborator management skills to articulate technical concepts to diverse audiences and align priorities
Passion for advancing AI computing boundaries, exploring emerging technologies and standard processes
Strong people management and team-building skills, including coaching/growing talent, cultivating engineering culture, and attracting/retaining diverse talent

Responsibilities

Build and improve ecosystem around GPU-accelerated computing, including developing large-scale automation solutions
Support researchers in running flows on clusters, including performance analysis and optimizations of deep learning workflows to improve reliability and researcher productivity
Architect and implement strategies to optimize utilization of AI computing clusters for operational efficiency and resource maximization
Pioneer solutions to streamline support processes for managing unprecedented scale of GPU resources (10,000+ GPUs per support personnel)
Lead building of future-proof AI computing infrastructure ensuring scalability and resilience for AI models and applications
Collaborate with multi-functional teams to identify bottlenecks and opportunities for optimization, improving performance and cost-effectiveness
Empower team with tools, processes, and methodologies to thrive in dynamic environment, fostering operational excellence and continuous improvement

Skills

GPU

HPC

Deep Learning

Automation

Performance Analysis

Optimization

Datacenter

Clusters

Resource Utilization

Scalability

Resilience

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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