Analyst - Algorithm Research & Development

Job Description :

Role : Analyst, Algorithm Research & Development

- Note : Diploma, BCA, or BSc (3 yrs) not considered.

- Programming : Minimum 2 years of hands-on experience in C++ and Python.

- Computational Geometry : Practical experience is a must (academic project/internship use is

acceptable).

- Algorithms & Processing : Strong knowledge of graph algorithms and image processing.

- Industry Background : Prior experience in Product / Semiconductor / Hardware Manufacturing companies (current or past role is acceptable).

- Preferred Institutes : IIT, IIIT, VIT, NIT (Tier-1 colleges).

Key Responsibilities :

- Develop algorithms focusing on optical modeling and computational geometry-based image processing.

- Work on graph algorithms, spatial data structures, and numerical optimization with efficient

handling of geometric queries & transformations.

- Explore and adopt modern frameworks, tools, and best practices to enhance the platforms

capabilities.

- Collaborate effectively with cross-functional teams (developers, testers, domain experts).

- Write clean, efficient, and well-documented code.

Required Skills & Experience :

- Professional Experience : 3+ years in algorithm development with a focus on graph

algorithms, spatial data structures, and numerical optimization.

Programming Proficiency :

- Python (numpy, scipy, pandas, trimesh).

- C++ (advanced concepts) or Rust (preferred for performance-critical geometry tasks).

- Strong scripting skills (Bash, Python).

- Systems Knowledge : Understanding of OS, computer networks, CPUs, GPUs, accelerators, and distributed systems architecture.

- Collaboration & Adaptability : Ability to communicate ideas clearly and adapt to dynamic environments.

Preferred / Nice-to-Have :

- HPC / Simulation : Background in scientific computing, HPC, simulations (CFD/FEA).

- DevOps & CI/CD : Experience with Azure DevOps, Jenkins, GitHub Actions.

- Containerization & Cloud : Familiarity with Docker, Kubernetes, and cloud platforms (Azure, AWS).