Systems Software Engineer – AV Platform Scheduling
We are looking for a Systems Software Engineer for our team which is building the NVIDIA Drive Platform with the goal to provide a scalable software stack and framework for autonomous vehicles. If you are a software engineer with interests in crafting, developing and maintaining the application framework, and the real time scheduling algorithms and tools that we use for self driving cars, then we'd love to talk to you.
What you will be doing:
Developing and optimizing software architecture and frameworks for real-world performance while matching or exceeding customer requirements.
Improving efficiency by optimizing computer utilization with multiple hardware engines for enhanced software performance.
Working on areas such as component abstraction layers, inter-process data sharing and communication, and process scheduling.
Solidifying existing frameworks and software components and validate with large amounts of real and synthetic data the improvements of the computational performance and system utilization.
Performing in-vehicle tests, collecting data and completing autonomous drive missions.
Developing unit/integration tests, documentation for features, evaluating quality and proposing corrective actions.
Developing highly efficient product code in python and/or in C++, making use of high algorithmic parallelism offered by GPGPU programming (CUDA). Follow quality and safety standards such as defined by MISRA and ISO26262.
What we need to see:
BS/MS or higher in computer engineering, computer science or related fields (or equivalent experience)
5+ years of proven experience
Excellent C, C++ and Python programming skills
Experience developing and debugging multithreaded/distributed applications like multimedia systems, game engines, etc.
Expertise in low-latency programming and debugging techniques, especially for parallel and distributed architectures.
Solid grasp of Software Architecture principles.
Strong understanding of Linux and real-time operating systems.
Great communication and analytical skills.
fBe 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.
Experience with the git version control system and build systems like Cmake/Bazel.
Ways You Can Stand Out From The Crowd:
Knowledge of automotive systems, notably ADAS applications.
Research background in discrete optimization and/or real-time scheduling.
Experience or interest in computer vision and image processing
Background with frameworks for robotics such as ROS.
Experience shipping products meeting ISO26262 standards while following ASPICE practices.
You will also be eligible for equity and benefits.
Average salary estimate
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NVIDIA is a publicly traded, multinational technology company headquartered in Santa Clara, California. NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, and ignited the era of modern AI.
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