Senior Hardware Systems Design and Verification Engineer at NVIDIA

Austin, Texas, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, Technology, Datacenter, AIIndustries

Requirements

BS or MS in Computer or Electrical Engineering (or equivalent experience)
At least 5+ years of proven experience in ASIC or FPGA verification or board design / signal integrity experience
Excellent verbal, written and presentation communications skills, organizational capabilities, and collaborative interpersonal skills

Responsibilities

Define design processes, tool flows, and verification approaches to deliver bug-free board and system designs
Board and system level RTL design
Simulation and emulation of model development for board level digital and mixed signal components
Pre-silicon verification of PCB designs including connectivity, design rule, layout and timing checks
Collaborate with architecture, ASIC, FPGA, mixed signal, software and system design teams to develop end to end verification environments

Skills

Key technologies and capabilities for this role

RTLASICFPGAPCBSignal IntegrityPre-silicon VerificationEmulationSimulationMixed SignalTiming ChecksBoard DesignSystem Design

Questions & Answers

Common questions about this position

What is the base salary range for this position?

The base salary range is 132,000 USD - 253,000 USD, determined based on location, experience, and pay of employees in similar positions.

What benefits are offered for this role?

You will be eligible for equity and benefits.

Is this a remote position, or is there a specific location requirement?

This information is not specified in the job description.

What are the required qualifications and skills for this role?

A BS or MS in Computer or Electrical Engineering (or equivalent), at least 5+ years of proven experience in ASIC or FPGA verification or board design/signal integrity, and excellent verbal, written, presentation, organizational, and collaborative skills are required.

What experience would make me stand out as a candidate?

Background in system validation & model to hardware correlation, signal/power integrity, and knowledge of AI/ML to help with workflows would help you stand out.

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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