Senior Software Engineer, AI Platform at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, TechnologyIndustries

Requirements

B.Sc. in Computer Science or a related field
5+ years of experience in backend software development, including system design and architecture
Proficiency in at least one backend programming language (We write in Go)
Strong understanding of microservices architecture, RESTful APIs, and relational databases
Deep familiarity with Kubernetes and the cloud-native ecosystem
Demonstrated ability to tackle complex technical challenges and deliver high-quality solutions
Ways to stand out
Expertise in Kubernetes internals and advanced cloud-native technologies
Hands-on experience with HPC or AI/ML platforms
Familiarity with AI inference workloads and performance optimization
Proficiency in Linux, with knowledge in networking, security, storage, and virtualization

Responsibilities

Designing and developing enterprise-grade systems with a strong focus on scalability, reliability, and performance
Building and optimizing microservices-based architectures using Kubernetes and cloud-native technologies
Collaborating closely with backend engineers, product managers, and other collaborators to deliver impactful solutions
Writing clean, maintainable, and testable code in Go
Conducting code and design reviews to uphold high-quality standards and mentor team members

Skills

Kubernetes

Microservices

RESTful APIs

Relational Databases

System Design

Cloud Native

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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