Senior Software Engineer, Cloud Platform at NVIDIA

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, CloudIndustries

Requirements

8+ years of experience with designing and building distributed software systems
BS/MS degree in Computer Science or related areas (or equivalent experience)
Demonstrated ability to write code in a mainstream systems programming language such as C, C++, Golang, or Rust
Demonstrated ability to design and implement maintainable APIs for consumers
Practical experience with asynchronous programming, type safety, threading models, state machines, and data structures
Background in data persistence (SQL or similar)
Understanding of secure communication protocols (mutual-TLS, IPsec, or similar)

Responsibilities

Work with NVIDIA internal customers
Design and build scalable software systems to manage NVIDIA’s cloud infrastructure
Build network and systems automation software for managing a multi-tenant cloud infrastructure
Participate in open-source communities of software we leverage and build
Present to internal stakeholders and NVIDIA leadership on roadmaps, vision, & demos

Skills

Key technologies and capabilities for this role

CC++GolangRustSQLdistributed systemsAPIsasynchronous programmingthreading modelsstate machinesdata structuresmutual-TLSIPsecnetwork automationcloud infrastructure

Questions & Answers

Common questions about this position

What experience level is required for this Senior Software Engineer role?

The role requires 8+ years of experience with designing and building distributed software systems, along with a BS/MS degree in Computer Science or related areas (or equivalent experience).

What programming languages should I know for this position?

You need demonstrated ability to write code in a mainstream systems programming language such as C, C++, Golang, or Rust.

What are some key technical skills required beyond programming?

Required skills include designing and implementing maintainable APIs, practical experience with asynchronous programming, type safety, threading models, state machines and data structures, background in data persistence like SQL, and understanding of secure communication protocols such as mutual-TLS or IPsec.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this a remote position or does it require working in an office?

This information is not specified in the job description.

What makes a candidate stand out for this role?

Candidates stand out with experience in a Hyperscale Cloud Service Provider, understanding of networking protocols like IP, BGP, HTTP, VXLAN, background with host management systems like DHCP and Redfish, Kubernetes knowledge, distributed task scheduling, and SRE principles including observability and SLOs.

What is the team structure like for this position?

You will work with other software engineers, product architects, and product managers as a collaborative team to deliver end-to-end software solutions.

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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