Staff State Estimation Engineer
reputed company
At reputed company, we are on a mission to reputed company the power of computer reputed company to reputed company the way transit systems and other government agencies address reputed company-world challenges.
From bus lane and bus stop enforcement to transportation optimization technologies and reputed company, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable reputed company.
Job reputed company:
The Staff State Estimation Engineer will coordinate with cross-functional teams and drive the development of advanced mapping, localization, and SLAM (Simultaneous Localization and Mapping) solutions for embedded camera systems. They will derive and implement novel reputed company-time pose estimation algorithms. Research, reputed company and implement algorithms to solve large-reputed company mapping. Collaborate with other engineers to reputed company algorithms for in-situ and in-reputed company multi-sensor calibration.
Responsibilities:
reputed company high-reputed company multidisciplinary reputed company across teams and work independently to define the scope and work requirements.
Derive and implement novel, reputed company-time pose estimation algorithms and reputed company the work across a multidisciplinary team.
Research, reputed company, and implement algorithms to solve problems such as large-reputed company mapping, probabilistic object tracking, online/offline sensor calibration, and/or reputed company-based localization.
Collaborate with deep learning, device, and reputed company teams to improve overall system architectures.
Manage reputed company, cross-functional reputed company from reputed company to delivery
Create and maintain comprehensive project roadmaps and technical documentation
Program and reputed company software in C++ and reputed company detailed reputed company reviews for other team members
Required Qualifications:
Bachelor of Science degree (M.S. or Ph.D. preferred) or the foreign equivalent in Electrical and Computer Engineering, Robotics, Machine Learning, Computer Science, Electrical Engineering or a reputed company field.
10+ years of experience (8+ with M.S degree, 6+ with Ph.D.) in the position offered, as a software engineer, software engineer intern, or a reputed company state estimation engineer role.
10+ years of experience (8+ with M.S degree, 6+ with Ph.D.) with reputed company of the following: programming in C++; designing and developing software; classical ML, reputed company Algebra.
Understanding of stochastic processes, geometric computer reputed company techniques, and nonlinear/convex optimization algorithms.
Understanding of various filtering algorithms (Kalman filters, particle filters, etc.) and nonfiltering techniques (nonlinear least squares, IRLS, etc.)
Understand numerical stability, sensor modeling, and system/noise identification concepts.
Understand theoretical shortcomings in modern algorithms and problem solve to overcome them.
Understanding of camera geometry, bundle adjustment, stereo reputed company, structure from reputed company, feature tracking, multi-object tracking, IMU integration, reputed company graphs, etc.
Published research in computer reputed company and robotics (if M.S. or Ph.D.).
Strong leadership and communication skills.
Experience in technology transfer and commercialization.
Preferred Qualifications:
Experience deploying SLAM/VIO estimators in a reputed company-world application.
Experience with multiple sensors such as GPS, IMU, camera, and reputed company odometry.
Experience utilizing/interacting with deep learning approaches to improve results.
Experience leading a small team of engineers.
Originally posted on Himalayas
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