Senior Embedded Software Engineer – AI Applications

Our team builds the NVIDIA AI cockpit Software, with the goal to provide a scalable software stack and framework to build AI cockpit for autonomous vehicles. We are looking for hands-on software engineers to join our team to redefine experiences inside car. As part of this team you will work on our AI cockpit software solutions, defining a high performance and safe application architecture. The role encompasses working with the various teams developing the software, from system software to full cabin monitoring, as well as the safety team and performance team. You will have the opportunity to develop and truly have the first-hand experience of your work defining cockpit of the cars of the future.

What you will be doing:

• Design and optimize application software architectures and frameworks for real-world performance while matching or exceeding customer requirements.
• Design and profile efficient mechanisms to improve utilization on computers with multiple heterogeneous hardware engines.
• Working on areas such as component abstraction layers, inter-process data sharing and communication, and process scheduling.
• Collaborate with hardware, platform, safety, performance and algorithmic teams

What we need to see:

• MS or higher in computer engineering, computer science or related engineering fields, with 2+ years of experience or equivalent experience
• Excellent C and C++ programming skills
• Experience designing, developing and debugging multithreaded/distributed applications like multimedia systems, game engines, etc.
• Solid understanding on QNX, Linux, Android, and/or other real-time operating systems.
• Thrive on designing low latency, highly performant code
• Excellent communication and analytical skills.
• Self-motivated and a great teammate

Ways to stand out from the crowd:

• Understanding of embedded and high efficiency software architectures
• Experience with large frameworks like used in ROS, android etc.
• Experience on developing software in heterogeneous architectures, including GPUs and other types of accelerators.
• Be hands-on and work well within a team of algorithm, software and hardware engineers, with a significant level of detail orientation and a penchant for data organization and presentation
• Knowledge of automotive systems, notably ADAS systems
• Understanding of and writing software compliant to ISO 26262 functional safety
• Familiarity with project/task management tools like Jira and JAMA
• Experience with version control systems GIT and build system like CMake/Bazel