Senior System Software Engineer - Autonomous Vehicles Platform

Nvidia • Santa Clara, CA

117d • $148,000 - $287,500

About The Position

Our Autonomous Vehicles Platform Team is searching for a hands-on systems and software platform engineer to design ground-breaking solutions that will revolutionize the world of transportation and the growing field of self-driving cars. You will collaborate with hardworking and dedicated multi-functional engineering development teams across various vehicle subsystems to integrate their work into our autonomous driving platform. We are seeking a skilled software engineer with interest in crafting, developing and maintaining the application framework and tools that we use to develop self-driving solutions on multi-computer and heterogeneous architectures.

Requirements

• 4+ years of relevant industry experience
• BS/MS or higher or equivalent experience in computer engineering, computer science or related engineering disciplines
• Excellent C and C++ programming skills
• Experience developing and debugging multithreaded/distributed applications like multimedia systems, game engines, etc.
• Strong knowledge of programming and debugging techniques, especially for parallel and distributed architectures
• Strong knowledge on Linux, QNX, and/or other real-time operating systems
• Experience with frameworks for robotics such as ROS and/or for multimedia such as GStreamer
• Thrive on writing low latency, highly performant code
• Great communication and analytical skills

Nice To Haves

• Understanding of embedded architectures
• Experience developing software in heterogeneous architectures, including GPUs
• Knowledge of automotive systems, notably ADAS applications
• Software development for modern OpenGL (Core Profile) and Linux
• Experience with version control systems GIT and build system like CMake/Bazel

Responsibilities

• Developing and optimizing software architecture and frameworks for real-world performance while matching or exceeding customer requirements
• Working on areas such as component abstraction layers, inter-process data sharing and communication, and process scheduling
• Developing efficient mechanisms to maximize utilization on computers with multiple heterogeneous hardware engines
• Solidifying existing frameworks and software components, and validate with large amounts of real and synthetic data for the improvements of the computational performance and system utilization
• Performing in-vehicle tests, collecting data, and completing autonomous drive missions
• Developing unit tests, documentation for features, evaluating quality and proposing corrective actions
• Developing highly efficient product code in C++, making use of high algorithmic parallelism offered by GPGPU programming (CUDA)
• Following quality and safety standards such as defined by MISRA

Benefits

• Equity
• Diversity and inclusion initiatives

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Bachelor's degree