CPU Design Methodology Engineer at NVIDIA

Hillsboro, Oregon, United States

Apply Now

Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, TechnologyIndustries

Requirements

Masters in Computer or Electrical Engineering or equivalent experience
5+ years of experience in chip design, specializing in SOC integration and design automation
Excellent analytical and problem-solving skills
Experience in RTL design (Verilog), verification (UVM, System Verilog), System-On-Chip design/integration flow, and design automation
Strong coding skills in Perl, Python, or other industry-standard scripting languages
Experience in synthesis and physical design (plus)
Good interpersonal skills

Responsibilities

Define and develop system-level methodologies and tools to build SOCs in an efficient and scalable manner
Identify inefficiencies and improvement opportunities in the front-end chip implementation process and propose ideas to address them
Own front-end design quality checks and reviews to present the physical design team with high-quality RTL

Skills

Key technologies and capabilities for this role

VerilogUVMSystemVerilogSOC integrationRTL designdesign automationPerlPythonsynthesisphysical design

Questions & Answers

Common questions about this position

What is the salary range for this position?

The base salary range is 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

What benefits are offered with this role?

NVIDIA offers a generous benefits package along with equity eligibility.

What are the required qualifications and skills for this role?

A Masters in Computer or Electrical Engineering or equivalent experience is required, along with 5+ years of experience in chip design specializing in SOC integration and design automation. Key skills include excellent analytical and problem-solving abilities, RTL design (Verilog), verification (UVM, System Verilog), SOC design/integration flow, design automation, and strong coding in Perl, Python, or similar scripting languages.

What is the work environment like at NVIDIA?

NVIDIA fosters a diverse work environment, employs forward-thinking and hardworking people, and supports collaboration with teams like ASIC, Physical Design, CAD, Package Design, Software, and DFT.

What makes a strong candidate for this CPU Design Methodology Engineer role?

Strong candidates have a Masters in Computer or Electrical Engineering with 5+ years in SOC integration and design automation, passion for developing methodologies and tools, excellent analytical skills, experience in RTL design, verification, and scripting, plus good interpersonal skills.

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