Computer Vision Engineer

Location: Pune

Employment Type: Full-time

Altair is advancing an innovative vision-based positioning system that integrates a custom optical stack with a scientific algorithm pipeline capable of delivering accurate location estimates under challenging conditions.

We are expanding our team to further enhance system performance, improve accuracy, and transition the technology toward real-world deployment. This role is ideal for candidates with strong foundations in computer vision, astrophysics, mathematics, or scientific computing , who enjoy working in multidisciplinary R&D environments.

• Research, design, and optimize algorithms for image analysis, pattern recognition, and positioning estimation .
• Collaborate closely with teams across optics, hardware, embedded systems, and software.
• Improve the scientific codebase for robustness, computational efficiency, and real-time operation.
• Perform modeling, simulation, and error analysis to drive accuracy improvements.
• Conduct experiments, field tests, and data validation across varied operating conditions.
• Participate in system integration, testing, and refinement as the technology matures.
• Contribute to engineering documentation, test reports, and system reliability improvements.

• Masters degree or PhD in Computer Vision, Astrophysics, Mathematics, Aerospace Engineering, or related fields .
• Strong proficiency in scientific programming (Python, C, C++, MATLAB, NumPy/SciPy, etc.).
• Solid understanding of image processing, computer vision , and feature-extraction algorithms.
• Strong mathematical background in modeling, estimation, optimization, and data analysis.
• Experience with algorithm development in an R&D or prototyping environment .
• Ability to collaborate effectively within multidisciplinary teams.

• Experience with navigation algorithms , estimation filters, or related positioning methods.
• Familiarity with optical systems , sensor modeling, or low-light imaging.
• Experience transitioning research algorithms into production-quality software.
• Exposure to system-level engineering practices for complex sensor-driven technologies.

A curious, technically strong engineer who enjoys solving open-ended scientific problems, iterating rapidly, and pushing the boundaries of vision-based positioning technologies. Someone who can translate theoretical insights into practical, high-performance solutions.