ASIC Design Engineer - New College Grad 2025 at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
Not SpecifiedCompensation
Entry Level & New GradExperience Level
Full TimeJob Type
UnknownVisa
Semiconductors, AI, AutomotiveIndustries

Requirements

  • Bachelor's Degree or equivalent experience in Electrical Engineering, Computer Engineering, or Computer Science
  • Experience in micro-architecture and RTL development (Verilog), passionate about arbiters, scheduling, synchronization & bus protocols, interconnect networks and/or caches
  • Great understanding of ASIC design flow including RTL design, verification, logic synthesis, and timing analysis
  • Exposure to Digital systems and VLSI design, Computer Architecture, and Computer Arithmetic
  • Strong interpersonal skills and an excellent teammate

Responsibilities

  • Be a vital part of the GPU Design team, detailing, implementing, and delivering verified RTL to meet design targets
  • Analyze architectural trade-offs based on features, performance requirements, and system limitations
  • Craft micro-architecture, implement in RTL, and deliver a fully verified, synthesis/timing clean design
  • Support post-silicon validation activities
  • Collaborate and coordinate with architects, other designers, pre- and post-silicon verification teams, synthesis, timing, and back-end teams to accomplish tasks

Skills

Key technologies and capabilities for this role

VerilogRTLmicro-architectureASIC design flowlogic synthesistiming analysisVLSI designComputer ArchitectureComputer Arithmeticarbitersschedulingsynchronizationbus protocolsinterconnect networkscaches

Questions & Answers

Common questions about this position

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

The base salary range is 96,000 USD - 184,000 USD, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

Is this ASIC Design Engineer role remote or onsite?

This information is not specified in the job description.

What skills are required for the ASIC Design Engineer position?

Required skills include a Bachelor's Degree in Electrical Engineering, Computer Engineering or Computer Science, experience in micro-architecture and RTL development (Verilog), understanding of ASIC design flow, and exposure to Digital systems, VLSI design, Computer Architecture, and Computer Arithmetic. Strong interpersonal skills and being an excellent teammate are also needed.

What is the company culture like at NVIDIA for this role?

NVIDIA offers a diverse, supportive environment where everyone is inspired to do their best work, with forward-thinking and hardworking people. It values creativity, autonomy, and tackling challenges.

What makes a candidate stand out for the ASIC Design Engineer role?

Candidates stand out with strong C/C++, Python or Perl skills, good debugging and analytical skills, in addition to the required qualifications.

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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