Senior Solutions Architect, Embedded Physical AI

NVIDIA Corporation; Santa Clara (CA); On-site; USD 152,000 - 241,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation in Santa Clara, CA seeks a hands-on Senior Solutions Architect for Embedded Physical AI to bridge hardware bring-up with AI-powered robotics deployments. You will work with customers and NVIDIA teams to turn prototypes into production-grade systems.

Key focus areas include ROS 2, Jetson platforms, sensor pipelines, real-time Linux, and AI model deployment on edge hardware. Strong collaboration and communication are essential for success.

Qualifications

• 5+ years of hands-on experience in embedded systems.
• Fluent in ROS 2 and deploying robotics autonomy stacks.
• Experience with sensor pipelines (cameras, LiDAR, IMU).
• Proven expertise in AI model deployment on edge hardware.

Responsibilities

• Serve as the primary embedded systems expert for NVIDIA Physical AI partners.
• Engage with customers to ensure smooth integration of production stacks and edge AI models.
• Deploy, profile, and optimize robotics models on embedded computers.
• Translate customer requirements into NVIDIA-based architectures and feed insights to product teams.
• Lead technical discussions, workshops, and create reference implementations.

Skills

Embedded systems

ROS 2

Sensor integration

AI model deployment

Communication

Education

BS in Electrical/Computer Engineering or related field

Tools

NVIDIA Jetson

TensorRT

Holoscan

Isaac ROS

Isaac Sim

cuVSLAM

Job description

## Senior Solutions Architect, Embedded Physical AIApplylocations: US, CA, Santa Clara: US, CA, Remotetime type: Full timeposted on: Posted Todayjob requisition id: JR2020829Physical 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.**What we need to see:*** 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.Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until July 11, 2026.This posting is for an existing vacancy.NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.