Nvidia Embedded Systems Engineer 

United States, California 

384095740

As a Sr. As an Embedded/System SW Engineer, you'll collaborate with SDK developers, firmware developers, networking architects, and domain experts in security, data science, and AI, concentrating on real-time sensor I/O and efficient, reliable data transfer to and from NVIDIA GPUs with minimal latency. This opportunity is unique because you will work on an innovative AI sensor processing platform that connects the physical and digital worlds.

What you’ll be doing:

• Develop applications and features for the Holoscan platform involving GPUs, high bandwidth network acceleration SDK’s, Camera and sensors.

• Architect, design, and develop and benchmark innovative, scalable, performant hardware-accelerated software and high bandwidth sensor streaming systems to run on top of NVIDIA’s Holoscan platform and NVIDIA's GPUs.

• Perform/participate in code reviews and design reviews.

• Engage with strategic customers and partners and internal NVIDIA teams to train, design, build, and productize solutions based on the Holoscan platform.

• Collaborate and coordinate with multi-functional teams of engineers within NVIDIA and its partners to expand the Holoscan ecosystem.

• Follow engineering processes, including writing and refining requirements, engineering design of software architecture, data structures and algorithms, implementation, technical review, documentation, developer testing, verification and validation, and post-launch support.

What we need to see:

• Minimum Bachelor’s degree (or equivalent experience) in Computer Science, Software Engineering, or a related degree with a proven record of delivering products.

• 5+ years of proven hands-on experience.

• Excellent software development skills: C/C++ and Python.

• Deep understanding of hardware-software integration and extended experience with ARM and x86 platforms.

• Knowledge of Linux Kernel, Linux Networking stack and RTOS concepts and considerations.

• Background with hands on experience with HW interfaces such as I2C/SPI/USB.

• Knowledge and deep understanding of embedded systems, Remote Direct Memory Access (RDMA) and GPU/CUDA concepts.

• Comfortable multitasking in a dynamic environment with shifting priorities and changing requirements.

• Great teammate with excellent interpersonal and communication skills.

Ways to stand out from the crowd:

• Extensive hands on experience with NVIDIA GPUs and CUDA programming.

• Knowledge and experience of high bandwidth networking protocols, SmartNICs/NIC drivers, Cameras and sensors.

• Background with safety-critical hardware-software integration problems.