Role at a glance
- Salary
- $184K – $287.5K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 8+ years of relevant industry experience.
- Education
- Master's
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Role Summary
The AI Hardware Architect will analyze and architect next-generation AI hardware, including GPU and CPU systems, chips, and chiplets for the AI infrastructure market. The role works with software, firmware, platform, multifunctional, customer, and firmware engineering teams to develop and optimize system and microarchitecture solutions.
What You'll Do
- Work on GPU and CPU systems and identify areas for improvement.
- Study applications and models running on NVIDIA hardware and assess their architectural implications.
- Develop microarchitectural solutions for connectivity, coherency, power management, security, and memory management.
- Help drive implementation of bus protocols, networking protocols, memory access, and security solutions across products.
- Model, analyze, and explain the performance and power advantages of NVIDIA solutions.
- Guide customers and firmware engineers to extract performance from microarchitectural structures.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Experience building high performance microarchitectural structures; experience with industry standard bus protocols; understanding of performance, power and security implications of microarchitectural features; coding and algorithmic thinking skills; good understanding of LLMs.
Required
- Master's Degree in Computer Engineering or Electrical Engineering (or equivalent experience)
- 8+ years of relevant industry experience
- Experience building high performance microarchitectural structures
- Experience with industry standard bus protocols
- Clear understanding of the performance, power and security implications of microarchitectural features
- Strong interpersonal, communication and teamwork skills
- Excellent coding and algorithmic thinking skills
- Good understanding of LLMs
Preferred
- Publications or other evidence of original chip/system architecture work
Original job description
Content provided by the employer
Original job description
Content provided by the employer
NVIDIA is hiring an AI Hardware Architect to analyze and architect the next generation of Artificial Intelligence hardware. We are looking for special individuals with a passion for delivering innovative products. Together, we will build life-changing AI chips and chiplets for the rapidly growing AI infrastructure market. If you have knowledge of computer architecture, microarchitecture, and chip design, and are looking to learn and grow, this is the opportunity you are looking for.
What you'll be doing:
Work on groundbreaking GPU and CPU systems. Understand them across a range of disciplines and identify areas for improvement.
Study the applications and models running on Nvidia hardware and their architectural implications
Come up with microarchitectural solutions for connectivity, coherency, power management, security, memory management and other SOC level issues.
Understand and help drive implementation of bus protocols, networking protocols, memory access and security solutions across a range of products.
Work with software, firmware, platform and multi-functional teams on system architecture.
Model, analyze, and explain the performance and power advantages of Nvidia solutions.
Guide customers and firmware engineers to extract the most performance from microarchitectural structures.
What we need to see:
Master's Degree in Computer Engineering or Electrical Engineering (or equivalent experience)
8+ years of relevant industry experience.
Experience building high performance microarchitectural structures. Experience with industry standard bus protocols.
Clear understanding of the performance, power and security implications of microarchitectural features.
Strong interpersonal, communication and teamwork skills.
A drive to continuously learn and expand architectural breadth and depth.
Excellent coding and algorithmic thinking skills. Good understanding of LLMs.
Publications or other evidence of original chip/system architecture work is a plus.
Join the future of chip building, you will contribute to innovative products with a dedicated team!
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.
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.