Overview

Imagine shaping the future of robotics and AI, one innovative solution at a time. At NVIDIA, we are leading the charge in Physical AI, pushing the boundaries of what's possible in robotics simulation, synthetic data, and large-scale model training. If you are a visionary Solutions Architect with a passion for transforming complex backend infrastructure into seamless, cloud-native environments, then we have an incredible opportunity for you to join our pioneering team. This is your chance to make a tangible impact on groundbreaking technologies that will redefine industries globally.

We are actively building a dynamic group of innovators dedicated to helping enterprises deploy and accelerate NVIDIA’s three core computer workloads for Physical AI. These crucial areas include robotics simulation, sophisticated synthetic data generation, multi-step model training, and inference, all managed on an unprecedented scale. We are looking for a hands-on Senior Solutions Architect who possesses deep expertise in backend infrastructure, inference mechanisms, and cloud-native applications. In this pivotal role, you will be instrumental in designing and scaling robust Kubernetes-native environments specifically tailored for distributed Robotics workloads. This position offers a truly outstanding chance to build and innovate within the rapidly expanding field of Robotics AI and Simulation. You will collaborate closely with our product management, engineering, and business teams, driving the adoption of NVIDIA's groundbreaking Physical AI technologies with our key ecosystem partners across the globe. This is a fully remote, worldwide opportunity.

Key Responsibilities

Guide our partners in constructing scalable, observable, and GPU-accelerated Physical AI pipelines, leveraging agentic workflows, advanced cloud-native technologies, and NVIDIA frameworks like OSMO.
Provide comprehensive support for the development of Physical AI data factories. This involves tasks such as data ingestion, preprocessing, precise annotation, intelligent filtering, synthetic data generation, rigorous model training, simulation, and thorough evaluation processes.
Cultivate a profound understanding of partner requirements and translate these into actionable technical solutions, ensuring seamless integration of NVIDIA's Physical AI platform.
Collaborate cross-functionally with product and engineering teams to feed insights from partner engagements directly into product development cycles.
Act as a subject matter expert, presenting complex technical concepts clearly to diverse audiences, from technical teams to executive stakeholders.

Requirements

Extensive hands-on experience as a Solutions Architect or a similar technical role, with a strong focus on enterprise solutions.
Deep expertise in designing, implementing, and scaling backend infrastructure.
Proven experience with inference engines and optimizing performance for AI workloads.
Strong proficiency in cloud-native application development and deployment strategies.
Demonstrable experience with Kubernetes, including designing and managing distributed environments.
Familiarity with distributed Robotics workloads and the unique challenges they present.
Experience working with GPU-accelerated pipelines and optimizing their efficiency.
Solid understanding of agentic workflows and their application in AI systems.
Proficiency in data pipeline development, covering ingestion, preprocessing, annotation, synthetic data generation, and evaluation.
Ability to engage effectively with product management, engineering, and business teams to drive successful technology adoption.
Excellent communication skills, both verbal and written, for engaging with technical and non-technical audiences.

What You'll Gain

An unparalleled opportunity to innovate and build within the incredibly fast-growing field of Robotics AI and Simulation.
Direct involvement in driving the adoption of NVIDIA's groundbreaking Physical AI technologies with leading ecosystem partners worldwide.
The chance to work at the forefront of AI, contributing to solutions that will define the next generation of intelligent machines.
Collaborate with world-class product management, engineering, and business teams, expanding your network and expertise.
A role with significant impact, influencing product direction and shaping the future of enterprise AI solutions.