Enterprise Solution Engineer, Software at NVIDIA

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

BS in Computer Science, Computer Engineering, or related field (or equivalent experience)
At least 5+ years system software development and troubleshooting experience, ideally with some customer facing
Intellectual curiosity, positive attitude, flexibility, analytical ability, self-motivation, and team-oriented
Strong computer science concepts and excellent knowledge of C/C++, Python and scripting methodologies
Deep understanding of at least two of the following: data centers, servers, distributed systems, virtualization, server diagnostics, embedded systems
Deep Linux knowledge, and very comfortable working in various Linux environments as well as with Windows OS’s
Professional-level communication skills, interpersonal skills with a passion to solve problems

Responsibilities

Take ownership and drive customer issues on system software, server diagnostics and containers
Develop features and tools as part of solution engineering efforts to support all Enterprise Service offerings including, but not limited to NGC, Container Orchestrators (such as Kubernetes), GPU accelerated applications
Build upon the opportunity to research new use cases with GPUs for emerging container technologies
Bring independent analysis, communication, and problem-solving to customer experience

Skills

Key technologies and capabilities for this role

LinuxKubernetesKernel ProgrammingNetworkingServer DiagnosticsContainersGPUsDGX PlatformNGCSystem Software

Questions & Answers

Common questions about this position

What education and experience are required for this role?

A BS in Computer Science, Computer Engineering, or related field (or equivalent experience) is required, along with at least 5+ years of system software development and troubleshooting experience.

What key technical skills are needed for this position?

Candidates need strong computer science concepts and excellent knowledge of C/C++, Python, and scripting methodologies, plus deep Linux knowledge and comfort with Windows OS, along with understanding of data centers, servers, distributed systems, virtualization, or server diagnostics.

What soft skills are important for this Enterprise Solution Engineer role?

Superb interpersonal and communication skills, intellectual curiosity, positive attitude, flexibility, analytical ability, self-motivation, and team-oriented mindset are essential, especially for working with enterprise customers.

What is the company culture like at NVIDIA for this team?

NVIDIA seeks creative, passionate, and self-motivated individuals with forward-thinking and hardworking people, emphasizing a collaborative environment where you work closely with enterprise customers and engineers.

What experience will make me stand out as a candidate?

Proven experience in developing, triaging, and debugging on Linux, system software, server diagnostics, and Containers, ideally with customer-facing work, will help you stand out.

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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