Job Title: Senior 3D Reconstruction Engineer (Lead)

Experience: 4+ Years
Employment Type: Full-Time
Location: Indore

About the Role

We are seeking a highly skilled Senior 3D Reconstruction Engineer (Lead) to own and drive the end-to-end 3D reconstruction pipeline, including Gaussian Splatting, Neural Radiance Fields (NeRF), and mesh generation workflows. The ideal candidate will have a strong background in Computer Vision, Computer Graphics, and neural rendering technologies, with the ability to translate cutting-edge research into production-ready solutions.

Key Responsibilities

• Lead the design, development, and optimization of end-to-end 3D reconstruction pipelines.
• Develop and enhance systems based on 3D Gaussian Splatting (3DGS), NeRF, and related neural reconstruction techniques.
• Implement and optimize Structure-from-Motion (SfM) and multi-view reconstruction pipelines.
• Build scalable solutions for mesh generation and scene reconstruction using TSDF, Poisson Reconstruction, and Marching Cubes.
• Work with large-scale image datasets to generate accurate 3D representations.
• Read, evaluate, and implement the latest research papers from arXiv and leading conferences into production systems.
• Optimize deep learning models and rendering pipelines using PyTorch and CUDA.
• Collaborate with cross-functional teams including AI, Graphics, Product, and Engineering teams.
• Mentor junior engineers and contribute to technical architecture decisions.

Required Skills & Qualifications

• 4+ years of experience in Computer Vision, Computer Graphics, or related domains.
• Strong hands-on experience with 3D Gaussian Splatting (3DGS), NeRF, or equivalent neural reconstruction frameworks.
• Excellent proficiency in PyTorch and CUDA.
• Experience with COLMAP and Structure-from-Motion (SfM) pipelines.
• Strong understanding of Multi-View Stereo (MVS) and 3D reconstruction techniques.
• Experience with TSDF, Poisson Surface Reconstruction, and Marching Cubes algorithms.
• Strong programming skills in Python and C++.
• Ability to read, understand, and implement cutting-edge research papers in production environments.
• Strong problem-solving and analytical skills.

Preferred Qualifications

• Experience with SuGaR, MILo, 2DGS, Gaussian Opacity Fields, or similar advanced reconstruction techniques.
• Research publications in 3D Gaussian Splatting, NeRF, Structure-from-Motion, Multi-View Stereo, or related fields.
• Active contributor or advanced user of gsplat, nerfstudio, or similar open-source frameworks.
• Experience in Autonomous Vehicles, Robotics, AR/VR, Simulation, VFX, or Animation industries.
• Master's or PhD in Computer Science, Computer Vision, Graphics, Robotics, or a related field.

Professional Competencies

• Strong ownership mindset with the ability to independently lead complex technical initiatives.
• Passion for solving challenging 3D vision and reconstruction problems.
• Comfortable working with cutting-edge research and rapidly evolving technologies.
• Excellent communication and collaboration skills.
• Ability to bridge research and production-grade engineering.

About Company:

5 Exceptions software solutions private limited is an offshore software development company run by a 10+ year experience team. We are a software development team with extensive experience in developing amazing products, websites and mobile apps. The company is having expertise in the different technology spectrum. We provide a better work environment to grow technically and professionally.

For more info, please visit our website: https://5exceptions.com/

Interested Candidates can share their CV through email ID - recruitment@5exceptions.com or you can share Via WhatsApp - 6269463379/ 9329796665 /7780322967

Pay: ₹1,000,000.00 - ₹2,000,000.00 per year

Benefits:

• Health insurance
• Leave encashment
• Provident Fund

Application Question(s):

• Please mention your Total Industrial Experience ?
• Please mention your Relevant Experience?
• What is your Current Salary ?
• What is your expected Salary?
• What is your notice period ?
• What is your reason for looking for Job Change ?
• What is your Current Location?
• Where is your Hometown Located ?

Work Location: In person