Note: The job is a remote job and is open to candidates in USA. NVIDIA is a leading technology company specializing in AI and autonomous systems. In this role, you will lead the architecture and development of software abstractions for autonomous driving, ensuring seamless integration with real-world vehicle and sensor systems while enhancing computational performance and reliability.
Responsibilities
- Lead the VAL and SAL teams, designing and developing optimal software abstractions and plugin frameworks to interface with real-world vehicle and sensor systems, consistently exceeding customer expectations
- Build efficient and user-friendly mechanisms to improve software integration across a wide range of vehicles and sensor configurations
- Work on core areas such as component abstraction layers, sensor and actuator interfacing, and inter-process data sharing and communication, enabling reliable and scalable autonomous driving solutions
- Solidify existing frameworks and software components, validating improvements through extensive real-world and synthetic testing to enhance computational performance and system utilization
- Perform in-vehicle tests, collect and analyze sensor and vehicle data, and support the completion of autonomous drive missions
- Develop unit tests and documentation for key features, evaluate software quality, and propose corrective actions in alignment with industry best practices
- Develop highly efficient, production-quality C++ code, demonstrating parallel computing capabilities through GPGPU (CUDA) to accelerate processing workloads
- Follow industry safety and quality standards, including MISRA and other automotive-grade software development practices
Skills
- MS or higher in computer engineering, computer science or related engineering fields (or equivalent experience)
- 12+ overall years of relevant industry experience and 8+ years of managing a team
- 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, Android, 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
- Phenomenal communication and analytical skills
- Self-motivated and a great teammate
- Understanding of embedded architectures and developing software in heterogeneous architectures, including GPUs
- Knowledge of automotive systems, notably ADAS applications, AUTOSAR and drive by wire systems
- Software development for modern OpenGL (Core Profile) and Linux
- Experience with version control systems GIT and build system like CMake/Bazel
- 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
Benefits
- Equity
- Benefits
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