Senior Engineer - SLAM
MotionalSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Autonomous Vehicles, RoboticsIndustries
Requirements
- 3+ years of professional software engineering experience
- Strong C++ or Python programming skills
- Solid understanding of algorithms, data structures, and software design patterns
- Solid soft skills — intra- and inter-team collaboration, business-driven development focus, planning and getting-things-done, effective and respectful communication
- Authorized to work in the U.S. (no relocation sponsorship or remote work options available)
Responsibilities
- Develop the cloud mapping subsystem with graph optimization at its core
- Develop the Sensor Fusion Localization subsystem, which combines the measurements of multiple sensors (LiDAR, IMU, GNSS, etc.) to calculate rover position to centimeter precision and orientation to 0.1-degree precision
- Support sister development and operation teams on issues related to localization
- Design and implement on-board localization algorithms and cloud mapping algorithms
- Improve the precision and reliability of rover localization in hard-to-navigate environments
- Improve and speed up cloud mapping SLAM-based processes of lidar map building
- Make data-driven decisions and innovate in localization and mapping subsystems
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
Is remote work available for this position?
No, remote work options are not available.
What are the required skills for this Software Engineer role?
Candidates need 3+ years of professional software engineering experience, strong C++ or Python programming skills, solid understanding of algorithms, data structures, and software design patterns, plus strong soft skills like collaboration, planning, and communication.
What is the salary or compensation for this role?
This information is not specified in the job description.
What is the company culture like for the Localization team?
The team is motivated, effective, and friendly, consisting of experienced professionals in robotics, EKF, ICP, SLAM algorithms, distributed data processing, software architecture, and machine learning, with people as their most valuable asset.
What makes a strong candidate for this position?
Strong candidates will have the required experience and skills, plus nice-to-haves like robotics experience, knowledge of EKF, localization, calibration, point cloud processing, strong math skills in optimization and probability, relevant publications, or eagerness to track field advancements.
Abridge
AI platform for clinical documentation automation
About Abridge
Abridge provides a platform that changes how medical conversations are documented in healthcare settings. Its main product allows healthcare providers to record patient visits, which are then transformed into organized clinical documents. This helps doctors and other healthcare professionals save time on paperwork, allowing them to concentrate more on caring for their patients. Abridge stands out from its competitors by focusing specifically on the needs of healthcare providers, payers, and pharmaceutical companies, offering a solution that improves both documentation efficiency and patient outcomes. The goal of Abridge is to enhance the quality of patient care while making the documentation process easier for healthcare professionals.
Pittsburgh, PennsylvaniaHeadquarters
2018Year Founded
$201.8MTotal Funding
SERIES_CCompany Stage
AI & Machine Learning, HealthcareIndustries
51-200Employees