Senior Software Engineer, Data Ingestion and Movement - DGX Cloud at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, High-Performance ComputingIndustries

Requirements

Strong track record of delivering distributed services in a variety of distributed computing environments, including CSPs such as AWS, Azure, and Google
History of ownership of product delivery from inception to support
Prior experience developing distributed systems with Golang and/or scalable web services in Python or similar
Bachelor’s of Science in Computer Science or a related field (or equivalent experience)
5+ years of experience
Strong understanding of distributed systems development, object storage, network file transfer protocols, and file systems
Proficiency in Golang, Python, or both

Responsibilities

Design, implement, deploy, and maintain innovative software solutions for data ingestion, movement, and management
Solve technical problems spanning the areas of orchestration, service modeling, API development, monitoring, and automation
Build highly reliable distributed systems that our customers can depend on for their own business

Skills

Key technologies and capabilities for this role

GolangPythondistributed systemsKubernetesAWSAzureGoogle Cloudobject storageAPI developmentmonitoringorchestrationfile systemsnetwork file transfer protocols

Questions & Answers

Common questions about this position

What is the salary range for this position?

The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4, determined based on location, experience, and pay of employees in similar positions.

What benefits are offered with this role?

You will be eligible for equity and benefits in addition to base salary.

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

This information is not specified in the job description.

What skills and experience are required for this Senior Software Engineer role?

A strong track record of delivering distributed services in environments like AWS, Azure, and Google is required, along with prior experience developing distributed systems with Golang and/or scalable web services in Python, a Bachelor’s in Computer Science or equivalent, and 5+ years of experience.

What experience will help me stand out as a candidate?

Experience implementing file transfer or synchronization protocols, designing complex systems with Kubernetes, or building high-scale distributed systems like databases or cloud services will make 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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