Senior Autonomy Systems Engineer - AI & Embedded Software

NVIDIA

Santa Clara (CA)

On-site

USD 152,000 - 242,000

Full time

14 days+

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Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA in Santa Clara, CA, is seeking a hands-on Systems and Software Platform Engineer to develop innovative solutions for the DRIVE OS platform in autonomous driving. You will work across software, hardware, safety, and product teams to integrate capabilities.

Candidates should have 5+ years in software or systems engineering, strong C/C++, Linux/QNX/RTOS experience, and a background in AI-powered tooling and automation. The role offers base salary ranges and equity.

Qualifications

BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or related field, or equivalent experience.
5+ years of relevant software or systems engineering experience.
Strong C and C++ programming skills with experience designing, developing, integrating, and debugging complex software systems.
Experience with Linux, QNX, Android, or other embedded or real-time operating systems, including software that spans hardware, OS, middleware, and application layers.
Experience developing or integrating AI-powered tools, AI agents, or automation into software engineering workflows.
Familiarity with modern AI development tools, APIs, scripting languages, and frameworks used to build and deploy agent-based automation.
Ability to work independently and collaborate effectively with multi-functional engineering teams in a dynamic development environment.
Strong written and verbal communication skills with the ability to clearly communicate technical concepts and engineering decisions.

Responsibilities

Collaborate with software, hardware, safety, and product management teams to translate product requirements into system requirements, software architectures, and technical designs.
Design and develop solutions for vehicle interface abstraction, vehicle network topology and infrastructure, data flow, time synchronization, and other system-level capabilities.
Develop, document, implement, and optimize software architectures and frameworks for real-world performance while meeting product and customer requirements.
Design, develop, deploy, and improve AI agents and AI-assisted workflows that automate engineering tasks such as software development, system analysis, testing, debugging, documentation, data analysis, and developer productivity.
Identify opportunities to apply generative AI and agentic workflows to improve engineering efficiency, software quality, and development processes.
Debug complex system-level issues spanning software, operating systems, networking, middleware, and hardware interfaces.
Collaborate across engineering teams to integrate, test, and deliver robust software capabilities on the DRIVE OS platform.