Join a team at the forefront of Physical AI, fusing simulation, AI, and real-world deployment to create autonomous and intelligent systems. We leverage cutting-edge digital twins, generative AI, and immersive platforms like NVIDIA Omniverse to drive transformative business value for clients. This role offers the opportunity to shape how products are designed, engineered, manufactured, and maintained through advanced digital technologies and deep engineering expertise.

This is a hands-on engineering role focused on developing and enhancing custom software solutions. You will be responsible for designing, coding, and improving components across various systems and applications. Utilizing modern frameworks and agile methodologies, you will deliver scalable, high-performing solutions meticulously crafted to meet specific business requirements.

Architect comprehensive digital twin and AI simulation solutions, integrating NVIDIA Omniverse, OpenUSD, Python, and foundation models. Define detailed solution blueprints for manufacturing, warehousing, and PLM, incorporating generative AI and simulation-driven optimization. Develop robust data integration strategies to connect IoT sensors, PLCs, enterprise systems, and AI simulation engines with virtual environments. Lead client workshops and technical assessments to guide digital twin adoption strategies. Extend Omniverse Kit applications, build custom tools, and integrate AI models tailored to unique client workflows. Design scalable cloud architectures for deploying digital twin and AI simulation solutions. Apply principles from gaming and real-time simulation to enhance interactivity, visualization, and predictive analytics.

A strong foundation in software engineering is essential, with a minimum of 3 years of professional experience required. Proficiency in Nvidia Omniverse is a must-have skill. Desirable skills include Unity3D and Python programming.

Candidates should possess a minimum of 15 years of full-time education. A Bachelor's or Master's degree in Engineering, Computer Science, or a related field is required, alongside 7+ years of experience in digital twin and AI simulation architecture, with at least 2 years focusing on Omniverse or similar platforms. Expertise in Python, OpenUSD, Omniverse Kit SDK, and generative AI frameworks is crucial. Familiarity with simulation tools, IoT platforms, cloud services (AWS/Azure/GCP), and AI model integration is expected.