Senior Edge AI Systems Architect — RTOS, ARM, QNX/Linux

Nvidia Corporation; Santa Clara (CA); On-site; USD 224,000 - 431,250; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior System Software Architect to shape the Halos OS across QNX, Linux, and hypervisor-based environments. You will architect high-performance edge AI platforms, integrating safety partitions and accelerators while working with diverse teams on real-time workloads.

You will lead the design of BSPs, drivers, and platform software for SoCs, applying formal methods and AI-assisted tooling to speed up debugging, testing, and documentation.

Qualifications

• Bachelors or Masters in Computer Science or equivalent.
• 12+ years in System Software architecture for real-time embedded systems.

Responsibilities

• Architect, design, develop, and debug system software for NVIDIA Halos OS across QNX, Linux, and hypervisor environments.
• Design and develop BSP, boot, driver, device-management, diagnostics, and platform software for NVIDIA SoCs and edge AI platforms.
• Design & develop I/O Virtualization solutions for mixed-criticality systems.
• Develop safe and secure software compliant with ISO 26262 and ISO 21434 standards.
• Bring up and optimize NVIDIA platforms, collaborate with ASIC, firmware, OS, safety, security, and platform teams.
• Apply Formal Methods to architect and develop high-integrity software.
• Utilize GenAI and AI-assisted tools to accelerate debugging, testing, documentation, and workflow automation.
• Design debugging, tracing, logging, and performance-analysis solutions for developer experience.

Skills

System Architecture

Real-Time Embedded Systems

C Programming

Ada/SPARK

AI-assisted tools

Debugging

Performance Analysis

Education

Bachelor/Master in Computer Science

Tools

QNX

ARM Architecture

Hypervisor

Formal Methods

Job description

NVIDIA is seeking a Senior System Software Architect to shape the Halos OS across QNX, Linux, and hypervisor-based environments. You will architect high-performance edge AI platforms, integrating safety partitions and accelerators while working with diverse teams on real-time workloads.

You will lead the design of BSPs, drivers, and platform software for SoCs, applying formal methods and AI-assisted tooling to speed up debugging, testing, and documentation.