Senior Software Engineer at NVIDIA

Ra'anana, M, Israel

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Networking, CloudIndustries

Requirements

Bachelor’s or master’s degree in computer science, Data Science, or a related field, or equivalent experience
Proven experience in Python programming
Experience in developing modern Software Verification Systems, with a passion for algorithms
5+ years of experience in similar roles
Strong skills in implementing and debugging software
Outstanding software debugging and problem-solving skills

Responsibilities

Build automated verification tests in a simulated environment for high-end hardware and software
Collaborate with multiple teams to understand new network technologies, ensuring accurate modeling of complex network behaviors
Enhance product quality by improving test coverage and developing comprehensive verification strategies

Skills

Key technologies and capabilities for this role

PythonC/C++DockerKubernetesBashGroovySoftware VerificationDebuggingAlgorithms

Questions & Answers

Common questions about this position

What is the salary for this Senior Software Verification Engineer position?

This information is not specified in the job description.

Is this role remote or does it require working from an office?

This information is not specified in the job description.

What skills are required for this Senior Software Engineer role?

Required skills include proven experience in Python programming, experience in developing modern Software Verification Systems with a passion for algorithms, 5+ years of experience in similar roles, strong skills in implementing and debugging software, and outstanding software debugging and problem-solving skills.

What is the company culture like at NVIDIA for this team?

NVIDIA features an exceptionally hard-working and ambitious team that thrives on innovation and collaboration, with an encouraging, inclusive environment where employees can grow their careers.

What makes a candidate stand out for this position?

Candidates can stand out with understanding of the OCI/network model, experience with Docker and Kubernetes, knowledge of C/C++ programming, and a scripting background such as Bash or Groovy.

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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