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# Senior Solutions Architect, Embedded Physical AI

- **Company:** NVIDIA Corporation
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $152,000.0 - $241,500.0
- **Contract:** Permanent contract
- **Skills:** Board Bringup, Artificial Intelligence, Computer Engineering, Software Debugging, Linux System Administration, Performance Tuning, Video Editing, Information Technology, Machine Learning Operations, TensorRT, Lidar
- **Published:** August 28, 2026
- **Apply:** https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Solutions-Architect--Embedded-Physical-AI_JR2020829

## About the Role

* BS in Electrical Engineering, Computer Engineering, Computer Science, Robotics, Mechanical Engineering, or a related field (or equivalent experience).
 * 5+ years of hands-on experience in embedded systems, including developing on NVIDIA Jetson, performance tuning, and system-level debugging.
 * Strong fluency in ROS 2 and background in deploying robotics autonomy stacks, and sim-to-real validation workflows.
 * Previous work 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.

Ways to stand out from the crowd:

 * Hands-on experience with NVIDIA Robotics libraries such as Isaac ROS and cuVSLAM, as well as simulation frameworks like Isaac Sim and Isaac Lab
 * Familiarity with deploying and optimizing VLMs, VLAs (such as GR00T) or World Models (such as Cosmos) on edge platforms, including techniques like quantization, compression, and distillation.
 * Experience with camera and sensor software stacks such as NVIDIA's HSB (Holoscan Sensor Bridge), V4L2, GMSL cameras, ISP tuning, or high-throughput video processing.
 * Prior experience with real-time and safety-aware embedded robotics systems in industries like autonomous vehicles or manufacturing.
 * Experience using agentic tooling to accelerate integration, debug, and build reference-implementation work.

## Description

Physical AI is redefining what robots can do, and embedded platforms are where that future becomes real! We are looking for a hands-on Solutions Architect with deep embedded systems expertise to serve as a technical anchor for NVIDIA's Physical AI ecosystem. This role sits at the intersection of hardware bring-up, sensor integration, and deployment of next-generation robotics models. You will bridge pioneering research and real-world application engineering, working closely with customers and NVIDIA Engineering, Product, Sales, and Ecosystem teams to turn prototypes into production-grade, AI-accelerated robotics systems.

Are you are passionate about Robotics and ready to make a meaningful difference? If so, this role fits you!

What you'll be doing:

 * 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.


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