Senior System Software Engineer

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what s never been done before takes vision, innovation, and the world s best talent. As an NVIDIAN, you ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.

We are looking for a versatile System SW Engineer for development of our autonomous vehicle software applications. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error this is truly an extraordinary time and the era of AI has begun. Our team builds the NVIDIA autonomous driving software stack and is responsible for the architecture, integration and optimization of all the components and algorithms into a performant system that runs in the vehicle as well as the cloud. We are seeking System SW Engineer with interests in designing, developing and maintaining the applications, tools and infrastructure powering next-generation vehicles. You will work with hardworking and dedicated multi-functional engineering teams creating the future of autonomous vehicles. You are expected to have strong communication, organizational, and analytical skills. Solid understanding and strong System Software experience is a requirement. Experience with GPU technology, image processing, computer vision, and multimedia are highly valued.

What you ll be doing:

• Craft the driving application for Autonomous Vehicle products in C and C++ performing critical functions of the vehicle

• Solve the real challenging problems in the software with different teams and to drive the car with the best experience

• Performance optimization on our driving platforms

• Implementing validation software to ensure testability and quality of the software

• Learning software constructs for developing highly-reliable software suitable for the automotive environment

• Improving end-to-end infrastructure to help logging, debuggability, observability and traceability of the system

What we need to see:

• Bachelor s or Master s degree in Computer Science Engineering or closely related field (or equivalent experience), and 3+ years of relevant work and lab experience

• Good understanding of programming languages in C, C++ and Python

• Excellent programming skills in C++ (11/14/17). Solid foundation and understanding of data structures, algorithms and framework architectures and implementation. Good foundation of object oriented design patterns

• Familiarity with source control tools (git, Perforce, etc. )

• Knowledge of system programming, threading, mutex, synchronization, communication, and parallel computing to build highly scalable and efficient applications

• Hands-on experience in developing multi-threaded applications and solid understanding of operating system architecture and its capabilities. Familiarity with underlying hardware architecture for CPU/GPU and memory, and understand performance from bottom up

• Prior experience in at least one of the following areas is must have: Autonomous Vehicles, GPU Technology, Multimedia System, Camera Capture

• Outstanding communication and collaboration skills, as we work as a tightly-knit team, always discussing and learning from each other and driving things forward and making solid progress

Ways to stand out from the crowd:

• Solid exposure to Safety and Security analysis and implementation

• Deep understanding of system architecture, CPU/GPU/Memory/Storage

• Solid working experience in QNX, and all too familiar with OS scheduling, event handling, real-time requirements.

• Knowledge of automotive systems, operating systems schedulers or graph theory

We believe that realizing self-driving cars will be a defining contribution of our generation (e. g. traffic accidents are responsible for ~1. 25 million deaths per year world-wide).

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees. NVIDIA is widely considered to be one of the technology world s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!