NVIDIA
Senior System Software Engineer - Autonomous Vehicles Platform
NVIDIA, Santa Clara, California, us, 95053
Overview
Our Autonomous Vehicles Platform Team is searching for a hands-on systems and software platform engineer to design ground-breaking solutions that will revolutionize transportation and the field of self-driving cars. You will collaborate with multi-functional engineering development teams across vehicle subsystems to integrate their work into our autonomous driving platform. We are seeking a skilled software engineer with interest in crafting, developing and maintaining the application framework and tools used to develop self-driving solutions on multi-computer and heterogeneous architectures. What you will be doing
Developing and optimizing software architecture and frameworks for real-world performance while meeting or exceeding customer requirements Working on component abstraction layers, inter-process data sharing and communication, and process scheduling Developing efficient mechanisms to maximize utilization on computers with multiple heterogeneous hardware engines Solidifying existing frameworks and software components, and validating with large amounts of real and synthetic data to improve computational performance and system utilization Performing in-vehicle tests, collecting data, and completing autonomous drive missions Developing unit tests and documentation for features, evaluating quality and proposing corrective actions Developing highly efficient product code in C++, leveraging high algorithmic parallelism offered by GPGPU programming (CUDA) and following quality and safety standards such as MISRA What we need to see
4+ years of relevant industry experience BS/MS or higher or equivalent experience in computer engineering, computer science or related engineering disciplines Excellent C and C++ programming skills Experience developing and debugging multithreaded/distributed applications (e.g., multimedia systems, game engines) Strong knowledge of programming and debugging techniques, especially for parallel and distributed architectures Strong knowledge of Linux, QNX, and/or other real-time operating systems Experience with robotics frameworks such as ROS and/or multimedia frameworks such as GStreamer Ability to write low-latency, highly performant code Great communication and analytical skills Ways to stand out from the crowd
Understanding of embedded architectures Experience developing software in heterogeneous architectures, including GPUs Knowledge of automotive systems, notably ADAS applications Software development for modern OpenGL (Core Profile) and Linux Experience with version control systems (Git) and build systems like CMake/Bazel Compensation and benefits
NVIDIA is widely considered to be one of the technology worlds most desirable employers with forward-thinking teams. Your base salary will be determined based on location, experience, and pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Application details
Applications for this job will be accepted at least until September 1, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We value diversity in our current and future employees and do not discriminate (including in hiring and promotion) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #J-18808-Ljbffr
Our Autonomous Vehicles Platform Team is searching for a hands-on systems and software platform engineer to design ground-breaking solutions that will revolutionize transportation and the field of self-driving cars. You will collaborate with multi-functional engineering development teams across vehicle subsystems to integrate their work into our autonomous driving platform. We are seeking a skilled software engineer with interest in crafting, developing and maintaining the application framework and tools used to develop self-driving solutions on multi-computer and heterogeneous architectures. What you will be doing
Developing and optimizing software architecture and frameworks for real-world performance while meeting or exceeding customer requirements Working on component abstraction layers, inter-process data sharing and communication, and process scheduling Developing efficient mechanisms to maximize utilization on computers with multiple heterogeneous hardware engines Solidifying existing frameworks and software components, and validating with large amounts of real and synthetic data to improve computational performance and system utilization Performing in-vehicle tests, collecting data, and completing autonomous drive missions Developing unit tests and documentation for features, evaluating quality and proposing corrective actions Developing highly efficient product code in C++, leveraging high algorithmic parallelism offered by GPGPU programming (CUDA) and following quality and safety standards such as MISRA What we need to see
4+ years of relevant industry experience BS/MS or higher or equivalent experience in computer engineering, computer science or related engineering disciplines Excellent C and C++ programming skills Experience developing and debugging multithreaded/distributed applications (e.g., multimedia systems, game engines) Strong knowledge of programming and debugging techniques, especially for parallel and distributed architectures Strong knowledge of Linux, QNX, and/or other real-time operating systems Experience with robotics frameworks such as ROS and/or multimedia frameworks such as GStreamer Ability to write low-latency, highly performant code Great communication and analytical skills Ways to stand out from the crowd
Understanding of embedded architectures Experience developing software in heterogeneous architectures, including GPUs Knowledge of automotive systems, notably ADAS applications Software development for modern OpenGL (Core Profile) and Linux Experience with version control systems (Git) and build systems like CMake/Bazel Compensation and benefits
NVIDIA is widely considered to be one of the technology worlds most desirable employers with forward-thinking teams. Your base salary will be determined based on location, experience, and pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Application details
Applications for this job will be accepted at least until September 1, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We value diversity in our current and future employees and do not discriminate (including in hiring and promotion) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #J-18808-Ljbffr