Senior Circuit Design Engineer at NVIDIA

Santa Clara, California, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, Artificial Intelligence, HardwareIndustries

Requirements

BSEE/MS preferred in Electrical, Computer Engineering or equivalent experience
6+ years of digital circuit design experience for Masters and 8+ years for Bachelors
Excellent understanding of deep submicron process issues and digital circuit design techniques
Hands-on experience running Spice simulations, EM/IR analysis, and static timing analysis/closure
Basic understanding and experience working with layout (DRC, LVS) and/or PnR tools
Hands-on experience in design and analysis of low power circuits (power gating, decaps, multi-Vt, etc.) is a plus
Experience with RTL, logic synthesis and verification is a plus
Mixed signal circuit design experience is a plus
Proficiency in scripting languages such as Python, Perl, Tcl, Make, and automation methods/algorithms is a plus
Ways to stand out
Proven ownership and hands-on experience across the entire silicon design flow, from micro-architecture and RTL design to back-end execution, including Custom/Semi-Custom Circuit Design, Synthesis, Auto Place and Route, STA, and PVerf
Proven capability in Post-Silicon characterization and debug, ensuring designs meet performance targets in hardware
Track record of independently driving and delivering complex features from conception through tape-out and validation

Responsibilities

Participate in groundbreaking processor design in deep submicron technologies
Work as part of a global circuits team to design innovative circuits for hardware security, adaptive clocking, and power management solutions
Drive the design and physical implementation of custom digital IPs from RTL to layout using industry standard tools and custom design flows
Collaborate with cross-functional teams to improve the power, performance, area and reliability of Nvidia’s next generation products through custom circuit solutions and detailed transistor-level analysis
Develop prototypes of patentable ideas on test chips and drive them to be deployed across the entire line of products
Perform transistor-level circuit design, schematic entry, and layout delivery
Integrate AI/ML techniques directly into the design process and methodology
Mentor/technical lead for junior team members

Skills

RTL

Layout

Schematic Entry

Transistor-Level Circuit Design

Deep Submicron Process

Digital Circuit Design

AI/ML

Power Management

Adaptive Clocking

Hardware Security

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.

Land your dream remote job 3x faster with AI

Try Jobo Free