Senior Developer

Position Name:Senior Developer - Computational Geometry

Work Experience:

Location : Pune

Shift : 09:30 AM to 7:00PM

Position Overview:

We are seeking a highly skilled and experienced Senior Developer with expertise in Computational Geometry to join our team. The Senior Developer will play a key role in developing algorithms, data structures, and software solutions for complex geometric problems. The successful candidate will collaborate with cross-functional teams to design and implement innovative computational geometry solutions in various domains.

Preferred Qualifications:

• Bachelor's or Master's degree in Computer Science, Mathematics, Computational Geometry, or a related field.
• Proven experience (5+ years) as a Senior Developer or Computational Geometry Specialist with a strong focus on algorithm development.
• Expertise in computational geometry concepts, geometric algorithms, and spatial analysis.
• Proficiency in programming languages such as C++, Python, Java, or similar for algorithm implementation.
• Strong knowledge of data structures, particularly those relevant to computational geometry.
• Experience with geometry libraries and computational geometry frameworks (e.g., CGAL, Shapely, JTS, Opencascade, VTK).
• Excellent problem-solving skills and the ability to develop innovative solutions for complex geometric challenges.
• Strong analytical and mathematical skills with an attention to detail.
• Effective communication skills to collaborate with technical and non-technical stakeholders.
• Experience with version control systems (e.g., Git) and software development best practices.
• Familiarity with computer graphics, robotics, GIS, or other domains where computational geometry is applied is advantageous.

Top of Form

Roles and Responsibilities

• Algorithm Development:

  Design, develop, and optimize algorithms for solving complex computational geometry problems. Address challenges related to geometric data, spatial analysis, and geometric transformations.

• Data Structures:

  Develop and implement efficient data structures to represent geometric objects and facilitate geometric computations. Optimize data storage and access for geometric data.

• Software Development:

  Write clean, maintainable, and efficient code to implement computational geometry algorithms and solutions. Collaborate with software engineers for integration into larger systems.

• Geometry Libraries:

  Create and maintain geometry libraries or modules that can be used across projects and applications. Ensure these libraries are well-documented and easily accessible to the team.

• Performance Optimization:

  Identify bottlenecks and areas for optimization in computational geometry algorithms. Work on improving algorithm efficiency and reducing computational complexity.

• Quality Assurance:

  Develop and execute test cases and validation procedures to ensure the correctness and accuracy of computational geometry solutions.

• Research and Innovation:

  Stay updated on the latest developments in computational geometry research and emerging technologies. Apply new findings to improve existing solutions and develop new ones.

• Collaboration:

  Collaborate with cross-functional teams, including software engineers, data scientists, and domain experts, to understand requirements and integrate computational geometry solutions into products and services.

• Documentation:

  Maintain comprehensive technical documentation, including algorithm descriptions, data structure specifications, and usage guidelines.

• Problem Solving:

  Tackle complex geometric problems and provide innovative solutions. Work on real-world challenges in diverse domains such as computer graphics, robotics, GIS, and more.

If you are passionate about solving complex geometric problems, possess strong algorithm development skills, and thrive in a collaborative and innovative environment, we encourage you to apply. Join our team to drive the development of cutting-edge computational geometry solutions and contribute to solving real-world challenges in various domains