ASIC Design Engineer at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductors, TechnologyIndustries

Requirements

  • MS/PhD in Electrical Engineering or Computer Engineering or related degree (or equivalent experience)
  • 3+ years of relevant industry experience
  • Background in high-speed coherent interconnects, protocol bridges, hardware-managed coherency, and system level caches
  • Experience with multiple clock domains and asynchronous interfaces
  • Knowledge of industry specifications like CHI/CXL/PCI-E (plus)
  • Experience with all stages in the ASIC design flow including emulation, prototyping, DFT, timing analysis, floor planning, ECO, bringup & lab debug, and ATE test development
  • Strong working knowledge of Verilog or VHDL
  • Scripting language like PERL
  • Good communication skills and interpersonal skills
  • History of mentoring junior engineers and interns (plus)

Responsibilities

  • Collaborate with architects, design verification, formal verification, and physical design teams to deliver world-class solutions
  • Be responsible for micro-architecture and design including RTL design, synthesis, and timing analysis using innovative CAD tools and latest process technologies
  • Design and implement innovative coherent fabrics for Tegra SoCs

Skills

Key technologies and capabilities for this role

ASIC DesignRTLVerilogVHDLSynthesisTiming AnalysisMultiple Clock DomainsAsynchronous InterfacesCHICXLPCI-EDFTEmulationPrototypingFloor PlanningECOPERL

Questions & Answers

Common questions about this position

What is the salary range for this ASIC Design Engineer position?

The base salary range is 108,000 USD - 184,000 USD for Level 2, and 136,000 USD - 212,750 USD for Level 3, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

Is this position remote or hybrid?

This is a hybrid position.

What skills and experience are required for this role?

Required qualifications include an MS/PhD in Electrical Engineering or Computer Engineering (or equivalent), 3+ years of relevant industry experience in high-speed coherent interconnects, protocol bridges, hardware-managed coherency and system level caches, experience with multiple clock domains and asynchronous interfaces, strong knowledge of Verilog or VHDL, and scripting like PERL. Knowledge of CHI/CXL/PCI-E and experience across the ASIC design flow including emulation, prototyping, DFT, timing analysis, floor planning, ECO, bringup & lab debug, and ATE test development are pluses.

What is the company culture like at NVIDIA?

NVIDIA features a dynamic, technology-focused environment with hard-working, forward-thinking engineers from around the globe pushing the frontiers of innovation in areas like AI and self-driving cars. They value creativity, autonomy, constant innovation, and fostering a diverse work environment.

What makes a strong candidate for this ASIC Design Engineer role?

Strong candidates have an MS/PhD in EE/CE, 3+ years in high-speed coherent interconnects and system caches, RTL design experience with Verilog/VHDL, and good communication skills. A history of mentoring juniors, knowledge of CHI/CXL/PCI-E, and full ASIC flow experience including emulation and debug are highly valued.

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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