Senior System Software Architect - Halos Core and Robotics Platform

at Nvidia

📍 Santa Clara, United States

USD 224,000-431,200 per year

SENIOR

✅ On-site

Used Tools & Technologies

Not specified

Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

Security @ 4 Software Development @ 8 Linux @ 4 Spark @ 7 Debugging @ 4 AI @ 4 GenAI @ 4 Performance Analysis @ 4

Details

We are looking for a Senior System Software Architect to help build NVIDIA Halos, a full-stack safety platform for physical AI: autonomous vehicles, humanoids, industrial robots, and intelligent machines. This role sits at the intersection of embedded systems, rich operating systems, safety, security, virtualization, and accelerated computing. You will architect high-performance NVIDIA edge AI platforms running complex mixed-criticality software stacks across QNX, Linux, hypervisors, safety partitions, accelerators, and real-time AI workloads.

Responsibilities

Architect, design, develop, and debug system software for NVIDIA Halos OS across QNX, Linux, and hypervisor-based environments.
Design and develop BSP, boot, drivers, 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 next-generation NVIDIA platforms, working closely with ASIC, firmware, OS, safety, security, and platform teams.
Use formal methods to architect and develop high-integrity software.
Use GenAI and AI-assisted engineering tools to accelerate debugging, test development, code review, documentation, requirements analysis, and workflow automation.
Design debugging, tracing, logging, and performance-analysis solutions that improve developer experience.

Requirements

Bachelors/Masters or equivalent experience in Computer Science or related field.
12+ years of experience in system software architecture and development for real-time embedded systems.
Strong understanding of computer architecture and operating system fundamentals.
Strong C and/or Ada/SPARK programming and debugging skills.
Practical experience using AI-assisted development tools for coding, debugging, testing, documentation, or workflow automation.
Hands-on experience with debugging tools, performance analysis and system analyzer tools.
Experience designing and developing solutions for complex system problems.
Team-oriented, self-motivated with excellent analytical and interpersonal skills.

Ways to stand out / Preferred

In-depth knowledge of embedded systems and real-time operating systems, such as QNX and RT Linux.
Good understanding of ARM architecture and low-level software development for ARM v8 based SoCs.
Prior hands-on experience in Ada/SPARK programming (including specification and formal verification) and TLA+ formal verification modeling.
Experience performing architectural safety analysis (FMEA/DFA) and security analysis (threat modeling).
Experience taking features from inception to product following SDLC practices.

Compensation & Benefits

Base salary ranges provided in the posting:
- Level 5: 224,000 USD - 356,500 USD
- Level 6: 272,000 USD - 431,250 USD
You will also be eligible for equity and benefits.

Other details

Location: Santa Clara, California, United States.
Employment type: Full time.
Applications accepted at least until July 19, 2026.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is an equal opportunity employer and states non-discrimination across protected characteristics.