Senior Systems Software Engineer - Autonomous Vehicles Platform

NVIDIA AI

Santa Clara (CA)

On-site

USD 180,000 - 240,000

Full time

6 days ago

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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++

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

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.

Requirements

Requires a degree in CS/CE/EE and over 8 years of experience, specifically with the Classic Autosar software stack. Proficiency in C/C++ and a deep understanding of SoC principles and real-time operating systems are essential.

Key Skills