Senior Photonics Test Engineer

Taiwan

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, BiotechnologyIndustries

Requirements

Candidates should possess a degree in Optics, Electrical Engineering, Mechanical Engineering, Materials Science, Physics, or a related field with equivalent experience. A minimum of 7 years of optical testing and/or optical packaging experience is required, along with a strong background in Silicon Photonics design, fabrication, test, packaging, and assembly. Hands-on experience in photonics testing at wafer or chip-scale, building and qualifying photonics test equipment, and analyzing test data is essential. Strong statistical analysis skills, understanding of quality control, statistical process control, and DOE techniques, as well as excellent written and oral communication skills are also necessary. Experience in Silicon Photonics device design or fabrication, and familiarity with opto-mechanical software tools like AutoCad or Zemax are advantageous.

Responsibilities

The Senior Photonics Test Engineer will lead photonics test development for NVIDIA's next-generation Silicon Photonics products and platforms. Responsibilities include defining test methodologies, test flow, and parameters, as well as designing and developing photonics test equipment and executing various photonics test flows. The role involves partnering with test integration vendors to install, enhance, and qualify photonics test equipment across multiple sites. Collaboration with internal design, fabrication, and packaging teams, as well as external fabrication, assembly, substrate, and test vendors, is crucial for developing new test requirements, test flows, and test structures. The engineer will also share data, lead new photonics testing processes, and drive continuous improvement in testing cycle time and test quality/reliability.

Skills

Photonics Test

Silicon Photonics

Optical Physics

Photonics Design

Photonics Fabrication

Test Equipment Development

Test Methodologies

Test Flow Definition

Test Parameter Definition

Test Integration

Test Quality Improvement

Test Reliability Improvement

Optics

Electrical Engineering

Mechanical Engineering

Materials Science

Physics

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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