Edge AI Platform Architect & Tech Leader

NVIDIA; Santa Clara (CA); On-site; USD 272,000 - 431,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA seeks a technical leader to design, drive, and operationalize firmware and software architecture for edge products, collaborating with HW and SW teams across NVIDIA platforms.

The role requires 15+ years in system architecture and deep experience with scalable edge architectures at the SW/HW interface, including accelerators like GPUs/DPUs/FPGAs. You will mentor teams and drive critical decisions through ambiguity.

Qualifications

• BS or MS degree in Computer Engineering, Computer Science, or related degree or equivalent experience.
• 15+ years in system architecture and design.
• Deep experience designing architecture for scalable and performant edge systems at SW/HW interface.
• Experience with GPUs, DPUs, or FPGAs.
• Proven ability to drive left shift strategy to de-risk program execution; excellent written and verbal communication.

Responsibilities

• Design and implement platform workflows, including firmware and software extensibility for product designs and security.
• Collaborate with SW/FW architects, HW Designers, ISV/IHV partners to define platform requirements.
• Champion reliability, debuggability, and optimization in firmware and deployment tools.
• Engage in pre-silicon platform design through production.
• Mentor architects and engineering teams to grow future leaders.
• Make key technical decisions even when faced with ambiguity.

Skills

System architecture

Edge systems

Accelerator software

Communication skills

Education

BS or MS in Computer Engineering or Computer Science

Job description

NVIDIA seeks a technical leader to design, drive, and operationalize firmware and software architecture for edge products, collaborating with HW and SW teams across NVIDIA platforms.

The role requires 15+ years in system architecture and deep experience with scalable edge architectures at the SW/HW interface, including accelerators like GPUs/DPUs/FPGAs. You will mentor teams and drive critical decisions through ambiguity.