Senior Systems Software Engineer - Autonomous Vehicles

NVIDIA AI

Santa Clara (CA)

Vor Ort

USD 200.000 - 260.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Equity
Benefits

Zusammenfassung

NVIDIA AI in Santa Clara seeks an experienced software architect to drive architectural improvements in the ADAS stack, designing clean boundaries between core components and OEM integrations to maximize reusability and reliability.

The role focuses on optimizing performance for multi-core environments, establishing scalable test coverage, and maintaining thorough documentation. Strong C/C++ skills and real-time Linux/QNX experience are required to ensure robust, high-quality software.

Qualifikationen

  • BS or MS in Computer Engineering or Computer Science.
  • 8+ years of professional software development experience.
  • Proficient in C/C++ for real-time, performance-critical systems in Linux or QNX.

Aufgaben

  • Drive architectural improvements to modularize the ADAS software stack.
  • Design boundaries between core components and OEM implementations.
  • Optimize system performance for multi-core environments.
  • Establish scalable test coverage and documentation.

Kenntnisse

C
C++
Real-time systems
Linux
QNX
Multithreading
Embedded RTOS
Software architecture
IPC
Middleware
ADAS
Clean Code Design
Distributed Systems

Ausbildung

BS in Computer Engineering or Computer Science

Jobbeschreibung

Drive architectural improvements to modularize the ADAS software stack and design clean boundaries between core components and OEM implementations. Optimize system performance for multi-core environments and establish scalable test coverage and documentation.

Requirements: Requires a BS or MS in Computer Engineering or Computer Science with over 8 years of professional software development experience. Must be proficient in C/C++ and have hands-on experience with real-time, performance-critical systems in Linux or QNX environments.

Key Skills: C, C++, Software Architecture, Multithreading, Real-time Systems, Linux, QNX, Embedded RTOS, System Profiling, IPC, Middleware, Git, Bazel, ADAS, Clean Code Design, Distributed Systems

Benefits:

  • Equity, Benefits
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