Project Role: Custom Software Engineer

Project Role Description: Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity.

Must have skills: Generative AI

Good to have skills: Machine Learning (ML), Computer Vision

Minimum 5 year(s) of experience is required

Educational Qualification: 15 years full time education

Summary:

We are seeking a CL9-level professional with strong proficiency in Python application development and the ability to independently manage tasks. The ideal candidate will have hands-on experience with NVIDIA Omniverse (or equivalent 3D frameworks), and a solid foundation in AI/ML and Computer Vision concepts. This role demands autonomy, ownership, and technical maturity in developing and managing complex perception and 3D spatial transformation solutions.

Roles & Responsibilities:

Design, develop, and maintain Python-based applications for 3D perception and visualization.
-Work with NVIDIA Omniverse (or similar 3D/graphics frameworks) for implementing coordinate transformations, 3D scene understanding, and simulation pipelines.
-Collaborate with AI/ML and Computer Vision teams to integrate perception algorithms into scalable applications.
-Take complete ownership of assigned tasks, from requirement gathering to deployment.
-Debug and optimize application performance in real-time and simulated 3D environments.
-Work cross-functionally with engineering and research teams to support system integration and testing.

Professional & Technical Skills:

-Strong expertise in Python for application and systems development.
-Familiarity with NVIDIA Omniverse, Isaac Sim, or alternate 3D visualization and simulation frameworks (e.g., Unity3D, Unreal Engine, or ROS 3D tools).
-Solid understanding of coordinate transformations, pose estimation, and spatial reasoning in 3D environments.
-Hands-on experience with AI/ML frameworks such as Py Torch or Tensor Flow.
-Basic to intermediate experience in Computer Vision (e.g., OpenCV, image processing, or 3D perception).
-Knowledge of data pipelines, APIs, and integration of AI models into production-grade systems.
-Good grasp of software development best practices, including version control (Git), testing, and debugging.

Additional Information:

-Candidates who demonstrate strong autonomy, problem-solving, and ownership are highly preferred.
-Exposure to robotics, simulation, or autonomous systems will be an added advantage.
-Excellent communication and collaboration skills for working in a cross-disciplinary engineering environment.

• The candidate should have minimum 5 years of experience in Microsoft Azure DevOps.
• This position is based at our Bengaluru office.
• A 15 years full time education is required.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com

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