[Remote] Senior Manager, Abstraction Layer Engineering – Autonomous Platform
Note: The job is a remote job and is open to candidates in USA. NVIDIA is a leading technology company transforming the world with AI. In this role, you will lead the architecture and development of software abstraction layers for autonomous driving, ensuring seamless integration with vehicle and sensor systems while enhancing real-time autonomy at scale.
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
- 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
- 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
- You will also be eligible for equity and benefits.
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