# Senior Solutions Architect, Embedded Physical AI

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Solutions-Architect--Embedded-Physical-AI_JR2020829?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_71dd27b9-c23

## 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.

### Responsibilities

- 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.

### Requirements

- 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.

### Nice to Have

- 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.

You will also be eligible for equity and benefits.

## Skills

### Required
- embedded systems
- NVIDIA Jetson
- ROS 2
- sensor integration
- AI model deployment
- GPU profiling
- TensorRT

### Nice to have
- Isaac ROS
- cuVSLAM
- Isaac Sim
- Isaac Lab
- VLM
- VLA
- World Models
- quantization
- compression
- distillation
- camera software stacks
- sensor software stacks

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Solutions-Architect--Embedded-Physical-AI_JR2020829?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)