Autonomous Vehicle Security Platform Engineer

NVIDIA Corporation; Santa Clara (CA); Híbrido; USD 184 000 - 357 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Equity

Benefits

Resumo da oferta

NVIDIA Corporation in Santa Clara, CA is seeking a hands-on Cybersecurity Software Engineer for the Autonomous Vehicles Platform. You will implement security features across the AV stack, from sensor interfaces to middleware, and work with platform, embedded software, and cloud teams to harden the software driving the cars of the future.

Ideal candidates have 8+ years in system software, strong C/C++ and Python skills, and familiarity with Linux, QNX, ROS, and RTOS.

Qualificações

• BS or MS in Computer Science, Electrical Engineering, or related field (or equivalent experience).
• 8+ years of professional experience working on system software.
• Excellent programming skills in C++, C and Python.
• Familiarity with source control tools.
• Solid understanding of Linux, QNX, ROS, and/or real‑time operating systems.
• Experience in developing user‑space system software, with willingness to delve into kernel-space and/or low-level hardware when needed.

Responsabilidades

• Integrating security features into our AV driving software stack.
• Develop and improve security work-products for our AV stack.
• Working on security-related software code ranging from sensor abstraction layers to data processing to middleware software.
• Work on security governance topics and guide other teams with security mechanism implementation.
• Collaborate with hardware, platform software, product, safety, performance, algorithms and cloud teams.

Conhecimentos

C/C++

Python

Embedded systems

Linux

ROS

RTOS

Multithreading

Formação académica

BS or MS in Computer Science, Electrical Engineering, or related field

Ferramentas

Git / Source control

Kernel-space experience

Descrição da oferta de emprego

NVIDIA Corporation in Santa Clara, CA is seeking a hands-on Cybersecurity Software Engineer for the Autonomous Vehicles Platform. You will implement security features across the AV stack, from sensor interfaces to middleware, and work with platform, embedded software, and cloud teams to harden the software driving the cars of the future.

Ideal candidates have 8+ years in system software, strong C/C++ and Python skills, and familiarity with Linux, QNX, ROS, and RTOS.