Senior Software Engineer, Hardware Tools and Methodology Development at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, SemiconductorIndustries

Requirements

BS or MS (preferred) degree or equivalent experience in CE or EE
At least 3+ years of work experience
Strong coding skills in C++
Good understanding of ASIC Design and understanding of Verilog RTL
Strong interpersonal and collaboration skills

Responsibilities

Architect, design, develop and support tools for RTL generation across all NVIDIA products
Architect automated workflows for supporting deliverables to multiple cross functional teams
Improve algorithms (in C++) for automated connectivity, auto logic insertion and post processing Verilog RTL
Improve quality of existing tools and flows used by the team

Skills

Key technologies and capabilities for this role

C++VerilogRTLASIC DesignPythonPerlMakeAlgorithms

Questions & Answers

Common questions about this position

What is the salary range for this Senior Software Engineer position?

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

Is this role remote or hybrid, and where is it located?

This is a hybrid role, as indicated by the #LI-Hybrid tag.

What skills are required for this Senior Software Engineer role?

Required skills include a BS or MS degree in CE or EE (or equivalent), at least 3+ years of work experience, strong coding skills in C++, good understanding of ASIC Design and Verilog RTL, and strong interpersonal and collaboration skills.

What is the company culture like at NVIDIA?

NVIDIA is a learning machine that constantly evolves, with rapidly growing teams of brilliant people supporting GPU and AI technology, and is committed to fostering a diverse work environment as an equal opportunity employer.

What makes a candidate stand out for this role?

Candidates stand out with prior experience in RTL design (Verilog), verification and synthesis, proficiency in C++, Perl, Python, Make scripting, and knowledge of Clocks/Resets design and verification.

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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