Senior Photonics CAD Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, TechnologyIndustries

Requirements

MS in Electrical or Computer Engineering (or equivalent experience)
Minimum 5 years of experience in physical design engineering or photonic IC development, including hands-on EDA flow and tool development
Solid understanding of all aspects of physical design, including floor planning, integration, clock and power distribution, place-and-route, verification, and layout sign-off
In-depth expertise in Cadence Virtuoso, Calibre, and other industry-standard EDA tools for custom IC and photonics layout design
Demonstrated proficiency in programming and scripting languages such as Python, Perl, and SKILL for tool and flow automation
Strong background in hierarchical design methodologies, top-down integration approaches, and design-for-manufacturing concepts including DFM, yield enhancement, and process constraint checks
Excellent communicator with the ability to work cross-functionally and support large distributed design teams through flow training and tool support
Strong hands-on lab experience with silicon evaluation, debugging, characterization, and bring up

Responsibilities

Develop and implement physical design and layout methodologies for integrated photonic devices focused on high-speed optical interconnect and sensing applications
Architect and advance design flows for photonic integrated circuits (PICs) layout, floor planning, waveguide routing, pCell creation, assembly, and backend verification using EDA tools like Cadence Virtuoso, supporting multiple concurrent projects from design through layout generation and sign-off
Collaborate closely with device design, layout, foundry technology, and packaging teams to optimize workflows, enhance cross-functional efficiency, and solve complex silicon photonics design problems across different technology nodes
Drive efficiency improvements in design verification, physical extraction, custom rule writing (DRC/LVS), and silicon validation for photonic and electronic ICs
Provide training and documentation for design teams, establish best practices for code release, and ensure robust version control and design collateral management

Skills

Photonics CAD

Cadence Virtuoso

Photonic Integrated Circuits

PIC Layout

Waveguide Routing

pCell Creation

EDA Tools

Physical Design

Silicon Photonics

Floor Planning

Backend Verification

Custom Rule Writing

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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