Analyst, Algorithm Development ( Optical Modeling)

• Develop algo focusing on optical modeling and computational geometry-based image processing algos and models

• Stay updatedwith emerging technologies and industry best practices. Bring new ideas to the team by exploring modern frameworks or tools that could enhance the platforms capabilities.

• Understanding on Graph algorithms, spatial data structures, and numerical optimization with efficient handling of geometric queries and transformations

Required Qualifications

• Education:Masters degree in Computer Science or a related field,orBachelors degree in Computer Science (or related)with at least 3 yearsof hands-on image processing algos

• Experience:Minimum3+ yearsof 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 across-functional teamsetting. Comfortable collaborating with diverse team members (developers, testers, domain experts) and conveying technical ideas clearly.
• Adaptability:Awillingness to learnnew technologies and adapt to evolving project requirements. Enthusiasm for working in a dynamic,fast-changing environmentwhere priorities may shift as the project grows

Preferred Qualifications (Nice-to-Haves)

• 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 platforms context

• DevOps & CI/CD:Hands-on experience with DevOps tools and workflows. Knowledge of setting up CI/CD pipelines using platforms likeAzure 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

Minimum Qualifications

Master's Level Degree and 3+ years related work experience; Bachelor's Level Degree and 5+ yearsof 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.