Role at a glance
- Job function
-
Engineering & R&D Semiconductor & Display Engineering
- Salary
- $168K – $310.5K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- Senior Level 8+ years of work experience in a verification domain working on CPU and/or CPU-based subsystems.
- Education
- PhD, Master's, or Bachelor's degree in EE/CS or related field, or equivalent experience.
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Role Summary
Senior Verification Engineer on NVIDIA's CPU Verification Team, responsible for defining, planning, and executing verification strategies for sophisticated CPU designs while working with global architecture, build, and verification teams.
What You'll Do
- Own and drive the definition, planning, and execution of verification strategies for sophisticated CPU designs.
- Apply new verification methodologies and techniques to improve efficiency and ensure continuous improvement in CPU verification.
- Collaborate closely with global architecture, build, and verification teams to complete and prioritize tasks.
- Partner with build and architecture teams to define the scope of verification for high-quality product delivery.
- Develop and maintain stimulus, testbench, and coverage strategies to ensure continuous progress toward tape-out through defined metrics.
- Mentor and guide a team of verification engineers.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Degree in EE/CS or related field, or equivalent experience, plus 8+ years of CPU verification experience.
Required
- PhD, Master's, or Bachelor's degree in EE/CS or related field, or equivalent experience
- 8+ years of work experience in a verification domain working on CPU and/or CPU-based subsystems
- Strong understanding of verification guidelines with hands-on experience following standard methodologies for verification
- Experience or knowledge with defining and implementing a scalable constrained-random verification environment using SystemVerilog and UVM
- Proficient in one or more scripting languages like Python, Perl
- Knowledge of CPU and system level architecture/microarchitecture for any industry-standard architecture
- Knowledge of processor build concepts like pipelines, caches, virtual memory systems, coherency
- Strong SW and HW debugging skills and familiarity with the latest tools and techniques
Preferred
- Knowledge of Arm architecture
Original job description
Content provided by the employer
Original job description
Content provided by the employer
At NVIDIA, we are redefining the future of computing! As a Senior Verification Engineer on our CPU Verification Team, you will play a pivotal role in our mission to push the frontiers of technology. Your work here will impact a broad array of products, from consumer graphics to self-driving vehicles and the burgeoning field of AI. This is an outstanding chance to create a real difference within a company that values innovation, collaboration, and excellence!
What you'll be doing:
Own and drive the definition, planning, and execution of verification strategies for sophisticated CPU designs.
Apply brand new verification methodologies and techniques to improve efficiency and ensure continuous improvement in CPU verification.
Collaborate closely with global architecture, build, and verification teams to complete and prioritize tasks.
Partner with build and architecture teams to define the scope of verification for high-quality product delivery.
Develop and maintain comprehensive stimulus, testbench, and coverage strategies to ensure continuous progress toward tape-out through defined metrics.
Mentor and guide a team of verification engineers, encouraging an environment of growth and learning.
Demonstrate agility in balancing multiple tasks and projects simultaneously.
What we need to see:
PhD, Master's, or Bachelor's degree in EE/CS or related field, or equivalent experience.
8+ years of work experience in a verification domain working on CPU and/or CPU-based subsystems.
Strong understanding of verification guidelines with hands-on experience following standard methodologies for verification.
Experience or knowledge with defining and implementing a scalable constrained-random verification environment using SystemVerilog and UVM.
Proficient in one or more scripting languages like Python, Perl.
Knowledge of CPU and System level architecture/microarchitecture for any industry-standard architecture, having knowledge of Arm architecture is a big plus.
Knowledge of processor build concepts like pipelines, caches, virtual memory systems, coherency, etc.
Strong SW and HW debugging skills and familiarity with the latest tools and techniques.
Good communication skills and the ability & desire to work as a great teammate across the distributed team are a must.
You will also be eligible for equity and benefits.
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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.