Senior Software and Automation Engineer – ICPE at NVIDIA

Tel Aviv-Yafo, TA, Israel

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

Requirements

  • BSc or higher in Computer Science or related field, with 7+ years of hands-on software development experience
  • Proficiency in C# and Python; C/C++ experience is a strong plus
  • Proven experience in GUI, application development, and tool integration; web/cloud background is advantageous
  • GIT high proficiency
  • Outstanding customer orientation
  • Hands-on experience with CI/CD (Jenkins, GitLab pipelines), Git-based workflows, Linux environments, shell scripting, and virtualized infrastructure
  • Passion for “it just works” automation and no repetitive tasks
  • Excellent communication skills with diverse teams and functional groups
  • Agile, self-learning and high execution quality standards
  • Innovative approach for problem solving
  • Ways to stand out
  • VBA or VB6 experience is a huge plus
  • Semiconductor test knowledge or hands-on experience with ATE/DFT workflows
  • Experience with HW/SW interfaces

Responsibilities

  • Design, develop, and maintain mission-critical engineering applications and automation tools
  • Build systems that automate test program validation, execution, and release processes
  • Architect infrastructure for scalable test and data workflows targeting next-generation network silicon
  • Collaborate with cross-functional teams to enhance HW/SW automation flows and characterization pipelines
  • Support integration and deployment in manufacturing environments and Contract Manufacturers (CM)
  • Enable new capabilities in the CML
  • Leverage DevOps best practices (CI/CD, version control, infrastructure automation) to accelerate internal development cycles
  • Work with various teams at NVIDIA to improve and automate data analysis capabilities for all engineering and characterization test results

Skills

DevOps
CI/CD
Version Control
Infrastructure Automation
Test Automation
Data Analysis
HW/SW Automation
Scalable Workflows
Manufacturing Integration
Characterization Pipelines

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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