Senior Full-Stack Software Engineer - VLSI Tools 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, SemiconductorsIndustries

Requirements

5+ years of experience
Bachelors or Masters in Computer Science or related engineering or equivalent experience
Knowledge of VLSI design, modeling and verification
Experience with JavaScript and Node.js
Knowledge of modern frontend frameworks like Vue.js, React.js, Svelte, or Ember.js
Comprehensive grasp of web development core concepts and industry standards
Experience with design and development of distributed microservices
In depth understanding of database concepts and object modeling
Detailed knowledge of object oriented design, data structures and algorithms
Excellent interpersonal skills

Responsibilities

Working on backend and frontend design and development of web applications targeting VLSI design and modeling
Collecting requirements and provide consultation to end users about their needs and use cases
Analyzing performance bottlenecks
Supporting and maintaining large scale data platform with high QoS
Building infrastructure and microservices for various big-data scenarios

Skills

Key technologies and capabilities for this role

JavaScriptNode.jsVue.jsReact.jsSvelteEmber.jsmicroservicesVLSI designVLSI modelingVLSI verificationdistributed systemsdatabasesobject-oriented designdata structures

Questions & Answers

Common questions about this position

What is the base salary range for this Senior Full-Stack Software Engineer position?

The base salary range is 148,000 USD - 287,500 USD, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

Is this position remote or does it require working from an office?

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need 5+ years of experience, a Bachelor's or Master's in Computer Science or related field, knowledge of VLSI design, modeling and verification, experience with JavaScript and Node.js, modern frontend frameworks like Vue.js, React.js, Svelte, or Ember.js, distributed microservices, database concepts, object modeling, object-oriented design, data structures, algorithms, and excellent interpersonal skills.

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

The team is a dynamic and innovative Hardware Infrastructure team, a multifaceted Agile software team with high production quality standards, committed to fostering a diverse work environment.

What makes a candidate stand out for this position?

Stand out with in-depth familiarity with coding assistant tools like Cursor, Claude Code, or Co-pilot, background with SQL and SQL databases, experience developing web services for chip design, MongoDB or other NoSQL datastores, knowledge of Python or Golang, and flexibility in a dynamic diverse environment.

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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