Mechano-Optical Engineer at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, TechnologyIndustries

Requirements

BSC or MSC in Physics or Electrical Engineering (with relevant optical knowledge)
2+ years of hands-on experience with testing and characterizing Optical or Electro-optical components
Proven work experience in optical lab environment
Results analysis, and reporting metrologies methods
Experience with co-working with mechanical and optical engineers
Curious and creative problem solver as well as organized and multi-tasker
Strong social skills (verbal and written)

Responsibilities

Working on optical components for CPO applications
Design and design validation of optical test platforms and optical characterization stations
Testing and characterization of optical components and optical connectors
Planning and building metrologies station for optical connectors
Design and design validation of optical elements (lenses, optical connectors, fiber array units etc.)
Collaborating with world-leading suppliers to develop high coupling efficiency components

Skills

Key technologies and capabilities for this role

optical componentsoptical testingoptical characterizationmetrologyZemaxCode VCPO connectorsfiber array unitslensesoptical connectorselectro-optical componentsresults analysis

Questions & Answers

Common questions about this position

What education and experience are required for the Mechano-Optical Engineer role?

A BSC or MSC in Physics or Electrical Engineering with relevant optical knowledge is required, along with 2+ years of hands-on experience with testing and characterizing Optical or Electro-optical components, proven work in an optical lab environment, results analysis, reporting metrologies methods, experience co-working with mechanical and optical engineers, and strong social skills.

What are the standout qualifications for this position?

Background with Optical designs and experience with Optical design SW (Zemax, Code V etc), background with CPO connectors, and experience with Matlab or Python will help candidates stand out.

Is the salary or compensation specified for this role?

This information is not specified in the job description.

What is the work arrangement or location policy for this position?

This information is not specified in the job description.

What kind of collaboration is involved in this role?

The position involves collaborating with optical, opto-mechanical, and process engineers in the design and development of components, as well as working with world-leading suppliers to develop high coupling efficiency components.

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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