About the role

As a Staff/Senior Software Engineer on our Calibration, Localization, & Mapping (CLAM) team, you will be responsible for delivering mission-critical improvements and new features to our calibration, localization, and mapping subsystems. You will work on a small, highly focused team developing production-quality software that enables efficient and accurate creation of HD maps at Cyngn deployment-sites and robust localization for Cyngn’s autonomous vehicle fleets. You will collaborate cross-functionally with vehicle infrastructure, hardware, QA, and other autonomy teams (Perception, Decision, Planning, and Control) to achieve seamless integration with interfacing submodules, comprehensive testing, and ultimately safe and efficient driving for the next generation of Cyngn’s autonomous vehicles.

What you'll do

Design, implement, tune, and test mapping, localization, and sensor calibration algorithms for our autonomous vehicle platforms using C++ and Python.
Develop tooling and metrics for performance validation and continuous testing frameworks.
Balance project tasks, code reviews, and research to meet product-driven milestones in a fast-paced startup environment.

Qualifications

MS/Phd with focus in robotics or a similar technical field of study
Solid foundation in probability theory, linear algebra, 3D geometry, and spatial coordinate transformations.
In-depth understanding of matrix factorization algorithms and Lie algebra/groups.
Solid theoretical knowledge of state-of-the-art techniques in 3D Lidar-based mapping and localization for autonomous vehicles (LOAM series, GICP, FastLIO, bundle-adjustment)
Familiarity with state estimation frameworks such as EKF’s as well as modern nonlinear optimization libraries (GTSAM, G2O, Ceres-Solver, GNC-Solver, etc.).
6+ years of industry experience as an autonomous vehicle or robotics software engineering professional including hands-on implementation and tuning on production hardware.
6+ years industry experience writing C++ software in a production environment - architecture design, unit testing, code review, algorithm performance trade-offs, etc.
Proficiency in Python.
Excellent written & verbal communication skills.

Proven record of top-tier publications or patents.
Experience with GPU programming, CUDA.
Experience in implementing automated map change detection and updating techniques.
Experience implementing modern multi-sensor calibration and sensor mis-alignment detection algorithms.
Experience with camera-based SLAM and 3D multi-view geometry.
Experience working with ROS2 to design, build, and operate robotic systems.

About the role

As a Staff/Senior Software Engineer on our Calibration, Localization, & Mapping (CLAM) team, you will be responsible for delivering mission-critical improvements and new features to our calibration, localization, and mapping subsystems. You will work on a small, highly focused team developing production-quality software that enables efficient and accurate creation of HD maps at Cyngn deployment-sites and robust localization for Cyngn’s autonomous vehicle fleets. You will collaborate cross-functionally with vehicle infrastructure, hardware, QA, and other autonomy teams (Perception, Decision, Planning, and Control) to achieve seamless integration with interfacing submodules, comprehensive testing, and ultimately safe and efficient driving for the next generation of Cyngn’s autonomous vehicles.

What you'll do

Design, implement, tune, and test mapping, localization, and sensor calibration algorithms for our autonomous vehicle platforms using C++ and Python.
Develop tooling and metrics for performance validation and continuous testing frameworks.
Balance project tasks, code reviews, and research to meet product-driven milestones in a fast-paced startup environment.

Qualifications

MS/Phd with focus in robotics or a similar technical field of study
Solid foundation in probability theory, linear algebra, 3D geometry, and spatial coordinate transformations.
In-depth understanding of matrix factorization algorithms and Lie algebra/groups.
Solid theoretical knowledge of state-of-the-art techniques in 3D Lidar-based mapping and localization for autonomous vehicles (LOAM series, GICP, FastLIO, bundle-adjustment)
Familiarity with state estimation frameworks such as EKF’s as well as modern nonlinear optimization libraries (GTSAM, G2O, Ceres-Solver, GNC-Solver, etc.).
6+ years of industry experience as an autonomous vehicle or robotics software engineering professional including hands-on implementation and tuning on production hardware.
6+ years industry experience writing C++ software in a production environment - architecture design, unit testing, code review, algorithm performance trade-offs, etc.
Proficiency in Python.
Excellent written & verbal communication skills.

Proven record of top-tier publications or patents.
Experience with GPU programming, CUDA.
Experience in implementing automated map change detection and updating techniques.
Experience implementing modern multi-sensor calibration and sensor mis-alignment detection algorithms.
Experience with camera-based SLAM and 3D multi-view geometry.
Experience working with ROS2 to design, build, and operate robotic systems.

Senior Software Engineer, Autonomy - Calibration, Mapping & Localization

Skills