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Custom Software Engineering Lead

Accenture · Bengaluru, India

About this role

The Custom Software Engineering Lead will serve as an NVIDIA Omniverse Application Architect, responsible for leading the design and implementation of next-generation Digital Twin, Industrial Metaverse, Physical AI, and 3D simulation solutions. This role involves defining end-to-end solution architecture, collaborating with business stakeholders, and driving innovation across manufacturing, industrial automation, robotics, and smart city initiatives. Responsibilities include designing integration strategies between Omniverse and enterprise applications (MES, SCADA, DES, PLM, IoT), developing reusable architecture patterns, leading technical workshops and PoCs, and mentoring development teams. The role requires strong technical leadership to deliver integrated Physical AI solutions in collaboration with AI, Cloud, and Data teams. Requirements include a minimum of 7.5 years of experience, with hands-on expertise in NVIDIA Omniverse (OV Kit SDK, Nucleus, Isaac SIM, etc.), Python, C++, and cloud architecture. Candidates must possess a Bachelor's or Master's degree in a relevant field and 15 years of full-time education. Preferred qualifications include certifications such as NVIDIA Omniverse Certified Professional, NVIDIA DLI, or TOGAF. The position is based in Bengaluru and may require international travel. Experience with Saudi Arabia work visas or Middle East project experience is considered an advantage.

For full details about this role, click “Apply on company site” to view the employer’s original posting.

Skills for this role

Nvidia OmniverseUnity ProgrammingDigital TwinsIndustrial MetaversePhysical AI3D SimulationOV Kit SDKOV ExtensionsNucleusIsaac SIMOV RTX RenderingPythonC++REST APIsMicroservicesCloud ArchitectureAzureAWSGCPApplication ArchitectureDistributed SystemsSolution DesignSDLCAgile

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A focused preparation guide, built around this job’s responsibilities and requirements.

✦ AI-generated guide
Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.
01

Understand the role

What matters most

  • Omniverse Architecture Leadership

    The primary mandate is to design and implement enterprise-grade Digital Twin and Industrial Metaverse solutions. You must demonstrate the ability to define end-to-end architecture using the OV Kit SDK, Nucleus, and Isaac SIM, while establishing reusable patterns that ensure scalability across manufacturing and robotics use cases.

  • Enterprise System Integration

    A critical duty is bridging the gap between NVIDIA Omniverse and existing industrial ecosystems. You must be prepared to design integration strategies that connect 3D simulation environments with MES, SCADA, PLM, and IoT platforms, ensuring seamless data flow and interoperability.

  • Technical Mentorship and Stakeholder Alignment

    Beyond individual contribution, you are expected to lead technical workshops, conduct architecture reviews, and mentor development teams. You must be able to translate complex Physical AI concepts into business value for stakeholders during PoCs and client demonstrations.

Likely challenges to think through

  • Managing Complex Cross-Domain Dependencies

    You will be required to coordinate with AI, Cloud, and Data teams to deliver integrated Physical AI solutions. The challenge lies in aligning disparate technical roadmaps; prepare by highlighting your experience in managing distributed teams and influencing technical decisions across cross-functional groups.

  • Balancing Innovation with Industrial Constraints

    Implementing next-generation 3D simulation in industrial settings often involves strict performance and reliability requirements. You must be prepared to discuss how you balance the cutting-edge nature of Omniverse with the stability and security needs of enterprise-grade industrial automation.

03

Practice your answers

Technical practice

Designing Omniverse-based Digital Twin Architectures

What to coverExplain your approach to architecting a Digital Twin that integrates real-time data from IoT, MES, or SCADA systems. Discuss how you ensure data consistency, latency management, and synchronization between the physical asset and the virtual representation using Nucleus.

Integrating Physical AI with Isaac SIM

What to coverDescribe how you would leverage Isaac SIM to train and validate robotics or automation agents. Focus on the workflow for importing assets, setting up physics environments, and bridging the gap between simulation and real-world deployment.

Omniverse Extension Development and Scalability

What to coverDiscuss the trade-offs between using pre-built Omniverse extensions versus developing custom extensions via the OV Kit SDK. Explain how you ensure custom extensions remain performant and maintainable within a large-scale enterprise project.

Cloud-Native Integration for 3D Simulation

What to coverHow do you architect a distributed system that offloads heavy 3D rendering or simulation tasks to cloud providers like Azure, AWS, or GCP? Address challenges related to data egress, latency, and managing compute resources for high-fidelity RTX rendering.

Microservices and REST API Orchestration

What to coverExplain how you design microservices to interact with the Omniverse platform for data ingestion or control. Focus on how you handle authentication, API rate limiting, and asynchronous communication in a distributed industrial environment.

Optimizing RTX Rendering for Industrial Use Cases

What to coverWhat strategies do you use to optimize 3D assets and scenes for real-time RTX rendering in Omniverse? Discuss techniques for managing polygon counts, texture streaming, and lighting to maintain high frame rates in complex industrial simulations.

Managing Data Interoperability (PLM/DES/IoT)

What to coverDescribe your strategy for mapping disparate data formats from PLM or DES systems into a unified Omniverse environment. Suggestion: Focus on the use of Universal Scene Description (USD) as the foundational layer for interoperability.

Technical Debt and Architecture Patterns

What to coverHow do you define and enforce reusable architecture patterns across multiple development teams? Explain how you balance the need for rapid PoC delivery with the long-term requirement for scalable, enterprise-grade software architecture.

Behavioural practice

Leading Technical Workshops and Stakeholder Alignment

What to coverDescribe a situation where you had to explain complex technical concepts to non-technical business stakeholders. How did you translate their business challenges into a concrete technical roadmap or PoC plan?

Mentoring and Technical Leadership

What to coverProvide an example of how you have mentored a development team on a new or complex technology like Omniverse. How did you handle resistance to new processes or ensure the team reached the required proficiency level?

Navigating Ambiguity in Innovation Projects

What to coverTell me about a time you were tasked with driving innovation in a project with unclear requirements. How did you define the scope, manage stakeholder expectations, and deliver a successful outcome?

Managing Distributed Global Teams

What to coverDescribe your experience leading a distributed team across different time zones. What communication strategies and Agile practices did you implement to ensure alignment, code quality, and timely delivery?

02

Sharpen your knowledge

Topics to prepare

  • Digital Twin and Industrial Metaverse Architecture

    Review the conceptual framework for integrating real-time 3D simulation with enterprise data sources like MES, SCADA, and PLM. Exercise: Draft a high-level architecture diagram showing how a Digital Twin synchronizes with an IoT data stream to provide real-time visualization, focusing on latency and data consistency.

  • Physical AI and Robotics Simulation

    Understand the role of Isaac SIM in simulating robotic behaviors and physical interactions within a virtual environment. Exercise: Prepare a technical explanation of how you would validate a robotic path-planning algorithm within a simulated factory environment before physical deployment.

  • Enterprise Cloud Integration Patterns

    Focus on distributed systems and microservices architecture for scaling Omniverse deployments. Exercise: Outline a strategy for deploying Omniverse Nucleus in a cloud environment (AWS/Azure/GCP) that ensures high availability and secure access for globally distributed development teams.

Skills to revise

  • NVIDIA Omniverse Development (OV Kit SDK/Extensions)

    Demonstrate proficiency in extending the Omniverse platform. Exercise: Describe a scenario where you would develop a custom OV Extension to automate a specific 3D asset workflow or integrate a proprietary simulation tool into the Omniverse ecosystem.

  • Python and C++ for Simulation Scripting

    Apply programming expertise to manipulate 3D scenes and simulation parameters. Exercise: Write a pseudo-code snippet demonstrating how to use the OV Kit SDK to programmatically modify a USD (Universal Scene Description) object property based on an external sensor input.

  • Technical Leadership and Stakeholder Management

    Practice translating complex technical requirements into actionable PoCs and architecture patterns. Exercise: Prepare a 5-minute pitch for a client stakeholder explaining the business value of transitioning from traditional 2D visualization to a 3D Digital Twin for factory commissioning.

04

Your preparation checklist

  • Develop an Omniverse Architecture Case Study

    Prepare a technical walkthrough of a Digital Twin or Industrial Metaverse project you have led. Focus on how you integrated Omniverse with enterprise systems like MES, SCADA, or PLM, and explain your strategy for handling data synchronization via Nucleus.

  • Map Physical AI and Simulation Expertise

    Create a summary document detailing your hands-on experience with Isaac SIM and OV Kit SDK. Be prepared to discuss how you have used these tools to solve specific industrial automation or robotics challenges, including performance optimization for real-time 3D rendering.

  • Prepare Cloud and Integration Patterns

    Draft a high-level architecture diagram showing a distributed system that connects Omniverse-based simulations with cloud-native services (AWS, Azure, or GCP). Highlight your approach to using REST APIs and microservices to ensure scalability and reliability.

  • Formulate Strategic Technical Questions

    Prepare questions for the interviewers regarding their current Digital Twin maturity level, the specific industrial sectors they are targeting for Physical AI, and how the team balances innovation with the delivery of reusable architecture patterns.

  • Document Leadership and Mentorship Experience

    Compile examples of how you have mentored development teams on complex technical stacks and influenced cross-functional stakeholders. Be ready to provide specific instances where you led technical workshops or PoCs to drive client decision-making.

AI-generated from the job information · Prepared Oct 19, 2026 (UTC)Useful preparation, not a guarantee of eligibility or an offer.

Availability last checked: 19 Oct 2026. Status can change after a check; confirm on the employer’s website. Report an issue · Our checking policy

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