Senior Full-Stack Software Engineer - VLSI Tools
US, CA, Santa Clara, US, NC, Durham, US, TX, Austin, US, MA, WestfordPosted Oct 20, 2026
Overview
- Added in 30 days
- 647
- At this company, still open
Skills named in this posting
- Python
Widely considered to be one of the technology world’s most desirable employers, NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery and powers what were once science fiction inventions from artificial intelligence to autonomous cars.
We are now looking for a highly motivated Full-Stack Web Applications Engineers to join this dynamic and innovative Hardware Infrastructure team! Our team is building scalable web services for VLSI designs. This software development team is a multifaceted Agile software team with high production quality standards. We are looking for motivated engineers to build and maintain a new generation of services that enables greater chip design productivity.
What you’ll be doing:
• 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.
What we need to see:
• 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
Ways to stand out from the crowd:
• In depth familiarity with coding assistant tools (i.e.: Cursor, Claude Code, Co-pilot)
• Background with SQL and at least one SQL database server.
• Experience of developing web services for chip design, modeling and verification.
• Experience with MongoDB or other noSQL datastores and knowledge of Python or Golang.
• Flexibility/adaptability for working in a dynamic diverse environment with different frameworks and requirements.
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 24, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Apply on the employer's site
Original posting: jobs.nvidia.com
RISC-V ecosystem
NVIDIA Corporation in the RISC-V ecosystem
RISC-V International: Premier Board
Founded in 1993, NVIDIA is an AI computing company. The company is headquartered in Santa Clara, California.
- NVIDIA is bringing CUDA platform support to RISC-V, i.e. allowing a RISC-V CPU to host CUDA GPU applications
- Publicly credited the RVA23 profile as the enabler: "We wouldn't have considered porting CUDA to RISC-V without it"
- Active in RISC-V International profile/standards work and a frequent presence in RISC-V ecosystem coverage
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