Senior Backend Python Developer at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

BS degree in Computer Science, Software Engineering, or a related field (or equivalent experience)
Proficiency in Python with strong programming and software development skills
5+ years of experience as a Python developer with hands-on experience in the Django framework
Experience in complex microservices based architectures
Knowledge of Linux networking and understanding of networking concepts and protocols
Experience with relational databases and SQL
Comfortable working in a fast-paced, highly collaborative environment
Strong verbal and written communication skills
Ways to stand out
Background in developing virtualization solutions using technologies like QEMU and Docker
Familiarity with containerization technologies such as Kubernetes
Experience in Infrastructure as a Service (IaaS)
Experience in Infrastructure as code (IaC) frameworks

Responsibilities

Collaborate with the development team to design and develop web applications using Python and Django framework
Write clean, efficient, and maintainable code that adheres to industry standards
Participate in code reviews and provide constructive feedback to ensure code quality
Perform unit testing and debugging to identify and fix issues
Work closely with product manager and architect teams to gather requirements, translate them into technical solutions, and deliver high-quality and scalable solutions

Skills

Key technologies and capabilities for this role

PythonDjangoMicroservicesLinuxNetworkingSQL

Questions & Answers

Common questions about this position

What experience level is required for this Senior Backend Python Developer role?

The role requires 5+ years of experience as a Python developer with hands-on experience in the Django framework, along with a BS degree in Computer Science or equivalent.

What are the key technical skills needed for this position?

Proficiency in Python, experience with Django framework, complex microservices architectures, Linux networking, relational databases, and SQL are required.

What is the salary range for this role?

This information is not specified in the job description.

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

This information is not specified in the job description.

What makes a candidate stand out for this role?

Candidates with background in virtualization using QEMU and Docker, familiarity with Kubernetes, experience in IaaS, and IaC frameworks 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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