ASIC Physical Design Engineer - New College Grad 2026 at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Semiconductors, TechnologyIndustries

Requirements

MS in EE or Microelectronics
Project experience in IC design implementation
Courses taken in circuit design, digital design
Hands-on experience in EDA software from Synopsys (DC/FC/PT/Formality/ICC2), Cadence (Genus/LEC/Innovus) is helpful
Proficient user of Python or TCL is helpful
Proficient in English reading and writing

Responsibilities

Chip integration and netlist generation
Synthesis, RTL/netlist quality check, Formal Verification
Constraints creation and validation, timing budget
Work with ASIC team to analyze/resolve special timing issues
Cross-Team collaboration to implement chip partitioning and floorplan
Work in conjunction with PR engineers to achieve timing closure
Achieve special mode timing closure, such as io, test, clock, async etc
Function eco creation and method development
Develop and improve entire timing closure flow from frontend (pre-layout) to backend (post-layout)
Methodology and flow automation development for above areas

Skills

Synthesis

Formal Verification

Timing Closure

Floorplanning

Netlist Generation

Constraints Validation

Chip Integration

RTL Quality Check

ECO Creation

Place and Route

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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