- *Job Title: Senior 3D Reconstruction Engineer (Lead)**
- *Experience:** 4\+ Years
- *Employment Type:** Full\-Time
- *Location:** Indore
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.
- 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.
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