Nvidia Senior System Software Engineer - Autonomous Vehicles 

India, Maharashtra, Pune 

109893643

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).