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Tier-1 brand and metro location increase applicant density but role is specialized, so medium competition.
Role requires niche perception/SLAM and calibration expertise, making cross-industry transferability limited.
Explicit years, deep SLAM/perception expertise, and senior Staff expectations make hiring filters stringent.
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Own and drive validation of perception systems for XR technologies including SLAM and other perception algorithms.
Define and evolve KPIs, build scalable test automation, and perform deep failure analysis for perception systems.
Support algorithm and system teams with actionable debugging insights and communicate technical issues to senior leadership and stakeholders.
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field with 4+ years of software engineering or related experience OR Master's with 3+ years OR PhD with 2+ years.
2+ years experience programming in languages such as C, C++, Java, Python.
Strong foundation in mathematics including linear algebra, geometry, probability, and optimization.
Solid understanding of SLAM algorithms, perception pipelines, and sensor calibration.
Experienced professional with 9+ years in perception systems, computer vision, robotics, or XR technologies (preferred).
Proficient in Python for automation, data analysis, and tooling, with experience in large log analysis and offline metrics generation.
Able to influence validation strategy at system or organizational level and effectively support cross-team debugging and communication.