Embedded Robotics Solutions Architect (Edge AI)

NVIDIA Corporation; United States; Vor Ort; USD 152.000 - 288.000; Vollzeit

Benefits dieser Stelle

Equity

Benefits

Zusammenfassung

NVIDIA Corporation in United States is seeking a hands-on Solutions Architect with deep embedded systems expertise to anchor the Physical AI ecosystem. This role blends hardware bring-up, sensor integration, and deployment of robotics models, bridging research and production engineering.

You will work with customers and NVIDIA teams to turn prototypes into production-grade AI-accelerated robotics systems, leading technical discussions, workshops, and proof-of-concepts across Jetson, ROS2, and

Qualifikationen

• BS in Electrical Engineering, Computer Engineering, Computer Science, Robotics, Mechanical Engineering, or related field.
• 5+ years of hands-on experience in embedded systems, including developing on NVIDIA Jetson, performance tuning, and system-level debugging.
• Strong fluency in ROS2 and background in deploying robotics autonomy stacks, and sim-to-real validation workflows.
• Experience integrating sensor pipelines such as cameras, LiDAR, and IMU.
• Proven expertise in AI model deployment, optimization, and GPU profiling on edge hardware, using SDKs like TensorRT.
• Outstanding communication and collaboration skills, with the ability to translate complex technical concepts for researchers, engineers, and business teams.

Aufgaben

• Serve as the primary embedded systems expert for NVIDIA Physical AI partners using technologies such as Jetson, Holoscan, Isaac ROS, Isaac OS, GR00T.
• Engage with customers to ensure smooth integration of production stacks, including real-time Linux environments, ROS 2, sensor pipelines, and edge AI models.
• Deploy, profile, and optimize robotics foundation models (VLAs, World Models) on embedded computers and guide customers on tradeoffs.
• Translate customer requirements into practical NVIDIA-based architectures, and work closely with internal teams to feed field insights into product feedback and roadmap priorities.
• Lead technical discussions, presentations, and hands-on workshops with key partners, while developing proof-of-concepts, and reference implementations.

Kenntnisse

Embedded systems

ROS2

AI model deployment

GPU profiling

Communication

Ausbildung

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Robotics, Mechanical Engineering, or related field

Tools

NVIDIA Jetson

Holoscan

Isaac ROS

Isaac OS

GR00T

VLAs

World Models

Jobbeschreibung

NVIDIA Corporation in United States is seeking a hands-on Solutions Architect with deep embedded systems expertise to anchor the Physical AI ecosystem. This role blends hardware bring-up, sensor integration, and deployment of robotics models, bridging research and production engineering.

You will work with customers and NVIDIA teams to turn prototypes into production-grade AI-accelerated robotics systems, leading technical discussions, workshops, and proof-of-concepts across Jetson, ROS2, and