Senior Software Engineer, CAD Tool 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

Semiconductor, TechnologyIndustries

Requirements

MS/PhD preferred in Computer Science/Engineering or equivalent experience
3+ years of experience in VLSI CAD flows and methodology
Good programming skills in multiple languages (C++, Tcl, Python, Makefile or other scripting languages)
Prior experience with tool development, testing and deployment
Good interpersonal skills, quick learner, proactive, innovative, highly motivated, and committed

Responsibilities

Work within a multi-functional team on various projects involving Pre-silicon and Post Silicon hardware design and related data
Support circuit design engineers to automate typical design tasks and improve efficiency
Build flows and methodology around vendor EDA tool and design collaterals to streamline design and verification workflows
Work closely with design engineers to support the existing development infrastructure, identify possible improvements and solutions
Employ good software engineering practices to develop complex and scalable systems

Skills

Key technologies and capabilities for this role

C++TclPythonMakefileVLSI CADEDA toolsASICscripting

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?

#LI-Hybrid indicates this is a hybrid position, but specific location details are not provided in the job description.

What skills and experience are required for this role?

MS/PhD preferred in Computer Science/Engineering or equivalent, 3+ years in VLSI CAD flows and methodology, good programming skills in C++, Tcl, Python, Makefile or other scripting languages, and prior experience with tool development, testing, and deployment.

What is the company culture like at NVIDIA?

NVIDIA offers a diverse, encouraging environment where everyone is inspired to do their best work, with forward-thinking and hardworking people focused on innovation and making a lasting impact.

What makes a candidate stand out for this position?

Candidates stand out with previous work in VLSI, ASIC, or EDA, experience with design collaterals like .v, .gv, .lib, gds, effective interpersonal and presentation skills, and being a self-starter with passion for growth and continuous learning.

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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