Job Description

Job Title: Analyst, Algorithm Research & Development (Optical modelling).
Job location- Chennai
Experience: Minimum 3 years
Employment Type: Full time
Key Responsibilities:

• Develop algo focusing on optical modeling and computational geometry-based image processing algos and models.
• Stay updated with emerging technologies and industry best practices. Bring new ideas to the team by exploring modern frameworks or tools that could enhance the platform's capabilities.
• Understanding on Graph algorithms, spatial data structures, and numerical optimization with efficient handling of geometric queries and transformations

Required Qualifications:

• Education: Master's degree in Computer Science or a related field, or Bachelor's degree in Computer Science (or related) with at least 3 years of hands-on image processing algos.
• Experience: Minimum 3+ years of professional algo development experience focusing on Graph algorithms, spatial data structures, and numerical optimization with efficient handling of geometric queries and transformations. Proven track record of delivering software projects from design to deployment.
• Programming Skills: Deep understanding of operating systems, computer networks, and high performance applications. Good mental model of the architecture of a modern distributed systems that is comprised of CPUs, GPUs, and accelerators. Proficiency in Python (especially with libraries like trimesh, numpy, scipy, pandas). Experience with C++ or Rust is a plus for performance-critical geometry tasks. Strong background in modern and advanced C++ concepts. Strong Scripting Skills in Bash, Python, or similar. Good communication with the ability to write clean, efficient, and well- documented code.
• Team Collaboration: Strong communication skills and ability to work effectively in a cross- functional team setting. Comfortable collaborating with diverse team members (developers, testers, domain experts) and conveying technical ideas clearly.

Preferred Qualification:

• HPC/Simulation Background: Experience working on projects involving scientific computing, simulations, or HPC applications. Familiarity with parallel computing concepts or engineering simulations (CFD, FEA, etc.) can help in understanding the platform's context
• DevOps & CI/CD: Hands-on experience with DevOps tools and workflows. Knowledge of setting up CI/CD pipelines using platforms like Azure DevOps, Jenkins, or GitHub Actions to automate build and deployment processes
• Containerization & Cloud: Experience with container technologies (Docker) and orchestration (Kubernetes) for deploying microservices is a plus. Familiarity with cloud services or infrastructure (Azure, AWS, etc.) for scalable deployment environments.

Skills Required