Overview
On Site
USD 136,000.00 per year
Full Time
Skills
System On A Chip
ASIC
Design Architecture
Innovation
Test Plans
Intellectual Property
IP
RTL
Electrical Engineering
Computer Engineering
VLSI
UVM
SystemVerilog
Integrated Circuit
Design Automation
Perl
Scripting
Analytical Skill
Shell
Veritas Cluster Server
Debugging
GDB
Communication
Collaboration
Object-Oriented Programming
GPU
Artificial Intelligence
Recruiting
Promotions
SAP BASIS
Law
Job Details
The NVIDIA System-On-Chip (SOC) group is looking for a top ASIC Verification Engineer interested in innovative approaches to drive design quality in our IP. This position offers the opportunity to impact an array of products while collaborating with teams from design, architecture, verification, and integration. You should have real passion for innovation, methodology and automated solutions that drive product quality.
What you'll be doing:
What we need to see:
NVIDIA is widely considered to be one of the technology world's most desirable employers. And due to outstanding growth, our teams are rapidly growing. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you!
The base salary range is 136,000 USD - 264,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse 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.
What you'll be doing:
- Develop test plans, tests and verification infrastructure for verifying global IP across multiple products
- Define, develop, and automate flows and methodologies to efficiently build, deploy, and verify generated RTL
- Build verification components using SV/UVM methodology
- Driving coverage based verification closure
- Collaborate with design teams across NVIDIA to find corner cases and resolve verification related issues
What we need to see:
- MS in Electrical or Computer Engineering with 3+ years of VLSI verification experience, or BS (or equivalent experience) with 5+ years of experience
- Experience in pre-silicon verification (UVM, SystemVerilog), System-On-Chip design/implementation flow, and design automation
- Strong coding skills in Perl or other industry-standard scripting languages
- Excellent debugging and analytical skills
- Exposure to design and verification tools (dc_shell or equivalent synthesis tools, VCS or equivalent simulation tools, debug tools like Debussy, GDB)
- Strong communication and collaboration skills to interact within the team and across functional teams
- Experience in object oriented programming desired
NVIDIA is widely considered to be one of the technology world's most desirable employers. And due to outstanding growth, our teams are rapidly growing. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you!
The base salary range is 136,000 USD - 264,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.