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Tier-1 employer and Bangalore location increase competition, but niche SLAM/perception specialization reduces density.
Highly specialized SLAM, robotics, and sensor-fusion skills limit transferability across unrelated industries.
Role demands specific SLAM, sensor-fusion, and tooling expertise without a strict mandatory years requirement.
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Develop and implement evaluation methodologies and automation tools for perception systems such as SLAM, visual-inertial localization, and multi-sensor fusion.
Analyze large-scale datasets to assess algorithm performance, robustness, and failure modes with quantitative metrics and KPIs.
Collaborate cross-functionally to diagnose perception failures and drive improvements in perception algorithm quality and stability.
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
Strong foundation in mathematics including linear algebra, geometry, probability, and optimization.
Proficiency in Python for automation, data analysis, and tooling.
Work Experience Required: 1 to 10 years of relevant experience in perception systems, computer vision, robotics, XR, or related areas.
Experienced in SLAM, robotics, autonomous systems, computer vision, localization, sensor fusion, or applied mathematics with demonstrated problem-solving on real-world perception challenges.
Proven ability to develop scalable evaluation frameworks and handle large dataset analysis for perception algorithms.
Comfortable working in interdisciplinary teams and communicating complex technical issues clearly to diverse stakeholders.