Solutions Architect, Robotics
at Nvidia
π Santa Clara, United States
USD 148,000-287,500 per year
SCRAPED
Used Tools & Technologies
Not specified
Required Skills & Competences ?
Python @ 5 Distributed Systems @ 3 Communication @ 3Details
We are looking for a Solutions Architect, Robotics passionate about the ground-breaking potential of 3D simulation and generative AI in robotics. This is the era of Physical AI, where intelligent machines can learn, reason, and interact with the world. NVIDIA, through the Isaac, Omniverse and Cosmos platforms, is pioneering advancements in AI robotics by enabling autonomous systems to be first designed, simulated, trained, and tested in physically based realistic virtual environments.
This role offers a unique chance to shape the rapid growing field of robotics AI & Simulation by driving adoption of NVIDIA's pioneering technologies with our key customers and partners. Join us in revolutionizing Physical AI!
Responsibilities
- Act as a technical expert to guide customers on solving sophisticated robotics technical challenges by implementing end-to-end solutions using NVIDIA products.
- Work directly with customers to help them scope and develop solutions for industrial robotics simulation, synthetic data generation, software-in-the-loop testing, AI-enhanced manipulation workflows using NVIDIA's Isaac Sim, Isaac Lab, Cosmos, and other relevant platforms.
- Partner with Sales, NVIDIA Engineering, Product and other Solution Architect teams to drive NVIDIA full stack adoption.
- Develop a deep understanding of customer workflows and requirements, lead proof-of-concept evaluations and provide internal feedback to drive continuous product improvements.
- Share domain expertise with the NVIDIA solutions architect community and stay updated on advancements in robotics, AI, simulation and computer graphics.
Requirements
- Bachelor's degree in Robotics, Computer Science, Electrical Engineering, or a related technical field, or equivalent experience.
- 4+ years of work experience in robotics development, simulation, and/or AI.
- Proficiency in Python.
- Exposure to robotics software frameworks like ROS/ROS2.
- Practical knowledge of one or more 3D workflows and tools (e.g., Unity, Unreal Engine, Blender) and robotics simulation frameworks (e.g., NVIDIA PhysX and Isaac Sim, Gazebo, MuJoCo, PyBullet, Drake).
- Applied experience with robotics workflows and strong fundamentals in robotics systems (kinematics, dynamics, perception, control).
- Excellent communication skills to convey technical concepts to diverse audiences.
- Self-starter with passion for growth, learning, and multi-functional teamwork.
Ways to stand out
- Familiarity with NVIDIA Omniverse, Isaac Sim or Isaac Lab and with relevant data formats like Pixarβs OpenUSD and URDF.
- Experience with control and actuator modeling in simulation frameworks like MuJoCo for sim2real experiments.
- Applied experience with industrial robotics and respective workflows (e.g., motion planning and navigation, control, localization & collision avoidance, computer vision, point cloud processing).
- Knowledge of deep learning principles as they apply to robotics and familiarity with NVIDIA's AI technologies like TensorRT, TAO or NeMo platforms.
- Experience with cloud environment deployments and distributed systems.
Compensation & Benefits
- Base salary ranges (determined by location, experience, and internal pay bands):
- Level 3: 148,000 USD - 235,750 USD
- Level 4: 184,000 USD - 287,500 USD
- You will also be eligible for equity and benefits (see NVIDIA benefits page).
Additional information
- Applications for this job will be accepted at least until September 7, 2025.
- NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. The company does not discriminate 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.