System Level Software Infrastructure Engineer at NVIDIA

Tel Aviv-Yafo, TA, Israel

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, SemiconductorIndustries

Requirements

  • Bachelor's degree or equivalent experience in computer/software science
  • Strong programming skills in Python (5+ years proven experience)
  • Experience with Linux environments and scripting (Bash, Python)
  • Proven track record in developing automation tools, test frameworks using OOP
  • Familiarity with hardware-software integration, system validation, or embedded systems
  • Experience with version control systems (Git, GitLab, GitHub)
  • Solid understanding of networking protocols, system architecture, or cloud infrastructure
  • Experience in cross-functional collaboration
  • Ability to work independently and lead tasks end-to-end with the right prioritization

Responsibilities

  • Architect, implement, and optimize software infrastructure for system-level testing and validation
  • Develop automation frameworks and tools for hardware-software integration, diagnostics, and data collection
  • Collaborate with internal and external teams (hardware, firmware, and QA teams) to deliver scalable, reliable solutions
  • Lead troubleshooting and root-cause analysis for complex system issues, leveraging software tools and scripting
  • Drive continuous improvement in test coverage, efficiency, and reporting
  • Mentor junior engineers and contribute to technical leadership within the team

Skills

Python
Linux
Bash
OOP
Git
GitLab
GitHub
Networking Protocols
System Architecture
Cloud Infrastructure
DevOps
CI/CD
Docker
Kubernetes
Jenkins
PCIe
I2C
SPI

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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