Senior Solutions Architect, Embedded Physical AI

NVIDIA; United States; On-site; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

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

Qualifications

• 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.

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.

Skills

Embedded systems

ROS2

AI model deployment

GPU profiling

Communication

Education

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

Job 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.

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 ROS2 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 other objective job‑related factors. The expected base salary ranges for this position are: 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 November3,2026.

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.