Senior Embedded RTOS Engineer – Automotive Software (Equity)

NVIDIA AI; Santa Clara (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA AI is seeking a senior embedded real-time software engineer to develop and optimize safety-critical components for the autonomous driving platform. You will collaborate with cross-functional teams to advance system architecture and integrate solutions for automotive customers.

The ideal candidate has 8+ years of experience in C/C++ with Classic Autosar, RTOS, and SoC knowledge, contributing to robust software that interfaces CAN, RADAR, and LiDAR sensors.

Qualifications

• Requires a CS/CE/EE degree and 8+ years of relevant experience with Classic Autosar.
• Proficiency in C/C++ and strong SoC and RTOS knowledge.

Responsibilities

• Develop and optimize embedded real-time system software for safety services within the autonomous driving platform.
• Collaborate with cross-functional teams to drive system architecture and integrate solutions for automotive customers.

Skills

Classic Autosar

C

C++

Scripting languages

RTOS

QNX

Linux

SoC principles

Device drivers

Memory management

Multithreading

Real-time scheduling

CAN

RADAR

LiDAR

Software debugging

Education

CS/CE/EE degree

Job description

NVIDIA AI is seeking a senior embedded real-time software engineer to develop and optimize safety-critical components for the autonomous driving platform. You will collaborate with cross-functional teams to advance system architecture and integrate solutions for automotive customers.

The ideal candidate has 8+ years of experience in C/C++ with Classic Autosar, RTOS, and SoC knowledge, contributing to robust software that interfaces CAN, RADAR, and LiDAR sensors.