Senior Software Engineer - NV Cloud Functions at NVIDIA

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Cloud Computing, TechnologyIndustries

Requirements

Bachelor’s or Master’s Degree in Computer Science or equivalent program from an accredited university/college, and 5+ years of hands-on software engineering
Expert-level knowledge in a systems programming language (Go, C) and a solid understanding of data structures and algorithms
Expertise in a scripting language (Bash, Python)
Strong understanding of Container Orchestration Systems (Kubernetes) and Container Technologies
Experience working with GitLab or a similar SCM
Hands-on Automation experience in continuous integration frameworks like GitLab & ArgoCD
Knowledge and experience working with system internals of Unix/Unix-like kernels such as Linux
Strong background in cloud computing and distributed software design, and development
Understanding of performance, security, and reliability in complex distributed systems

Responsibilities

Work in a distributed team that explores innovative ways to make GPU and DPU accelerated applications easier to develop, deploy, and monitor
Enable GPUs and DPUs as first-class resources in Kubernetes container orchestrator
Work with engineering teams across NVIDIA to ensure software integrates seamlessly with NVIDIA Cloud eco-system
Automate and optimize build, test, integration, and release processes for cloud native
Efficiently multitask with varied responsibilities to address evolving priorities

Skills

Key technologies and capabilities for this role

GoCKubernetesContainer RuntimesDevOpsDistributed SystemsSystems SoftwareGPUsDPUsCloud Native

Questions & Answers

Common questions about this position

What are the key required skills for this Senior Software Engineer role?

The role requires expert-level knowledge in Go or C, solid understanding of data structures and algorithms, expertise in scripting languages like Bash or Python, strong understanding of Kubernetes and container technologies, and experience with GitLab, CI frameworks like GitLab and ArgoCD, Unix/Linux internals, cloud computing, and distributed systems.

What education and experience are required for this position?

A Bachelor’s or Master’s Degree in Computer Science or equivalent and 5+ years of hands-on software engineering experience are required.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a candidate stand out for this position?

Candidates with background in pub-sub models and message queues or experience developing Kubernetes Custom Resources will 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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