Principal System Architect, GPU

NVIDIA; Hillsboro (OR); On-site; USD 272,000 - 431,250; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is searching for a Principal System Architect in Hillsboro, Oregon. This role requires a wealth of experience in developing high-performance System-on-Chip platforms. The ideal candidate will lead architectural definition for complex GPU products, ensuring they meet ambitious performance goals.

Candidates must have over 15 years of experience in SoC architecture and strong leadership skills. The position offers a competitive salary range of 272,000 USD - 431,250 USD, along with equity and benefits.

Qualifications

• Over 15 years in SoC architecture development or similar technical leadership roles.
• Proven track record of defining and delivering high-volume SoC systems.
• Proficiency in evaluating power/performance in high-level programming languages.
• Strong understanding of SoC system fundamentals, including memory hierarchy and methodologies.
• Hands-on experience with silicon bring-up and debug.
• Excellent interpersonal, leadership, and communication skills.

Responsibilities

• Define and drive architecture for high-volume GPU products.
• Perform power and performance evaluation and architectural modeling.
• Lead improvements in architecture for scalability.
• Specify and optimize SoC subsystems.
• Collaborate with teams to integrate system components.
• Produce technical documentation for SoC architecture.
• Provide technical leadership and mentorship.

Skills

Technical leadership

Collaboration

Documentation skills

Problem-solving

Education

Master's degree in Computer Science or related field

Job description

A key part of NVIDIA's strength is to innovate how we architect and develop our GPU for the changing AI and accelerated workloads. We are constantly looking for ways to improve the scalability of our design, infrastructure and methodology. We are looking for a Principal System Architect with a wealth of experience in shaping and bringing to fruition high-performance, high-volume System-on-Chip (SoC) platforms. The ideal candidate will bring deep technical expertise across multiple SoC domains, along with strong leadership and communication skills. This senior technical position entails hands‑on architectural definition and the capability to influence and drive multi‑functional engineering teams.

What You'll Be Doing

• Define and drive architecture for complex, high-volume GPU products, ensuring they meet our ambitious performance and scalability goals.
• Perform and guide power and performance evaluation, trade‑off assessments, and architectural modeling to identify optimal chip, package and system construction.
• Lead improvements in architecture, methodology and tools to improve the scalability of our system, collaborating closely with cross‑functional engineering teams.
• Specify and optimize SoC subsystems such as memory architecture, test infrastructure and power management.
• Collaborate with RTL, verification, physical design, firmware, and software teams to successfully implement and integrate system components.
• Produce high‑quality technical documentation of SoC architecture, specifications, and development trade‑offs.
• Provide technical leadership and mentorship to junior architects and engineers, encouraging a culture of excellence and innovation.

What We Need To See

• Over 15 years in SoC architecture development or similar technical leadership roles.
• Proven track record of defining and delivering multiple high‑volume SoC systems (such as CPU, GPU, modem, networking or similar).
• Proficiency in evaluating power/performance and architectural modeling in high‑level programming languages.
• Strong understanding of SoC system fundamentals, including memory hierarchy, coherency, clocking, power domains, boot and reset, test, and debug methodologies.
• Hands‑on experience with silicon bring‑up, debug and tuning.
• Excellent interpersonal, leadership, and collaboration skills, with the ability to influence across organizations.
• Outstanding documentation, written, and verbal communication skills.
• Master's degree (or equivalent experience) in a relevant subject area: Computer Science, Electrical Engineering or Computer Engineering.

Ways To Stand Out From The Crowd

• Experience with GPU or AI accelerator architecture, including platform aspects, off‑chip I/O technologies, and networked multi‑GPU systems.
• Knowledgeable in modern packaging technologies, and their costs and benefits.
• Knowledgeable in AI workload characteristics.
• Outstanding analytical and problem‑solving skills with a focus on optimizing performance, power, area, and complexity.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

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.