Job Information
Amazon Senior Applied Scientist - SLAM and Calibration, Amazon Robotics in Austin, Texas
Description
The Amazon Robotics Autonomous Mobility software team develops the autonomy software that powers Proteus, Amazon’s first fully autonomous warehouse robot. We are looking for a Senior Applied Scientist to join our perception and localization team. You will be part of an exceptional group of engineers building the platform and architecture for our onboard mapping, perception, motion planning and control software. In addition, you will collaborate with engineers and scientists across the team to develop and enhance our real-time multi-robot simulation capabilities.
Key job responsibilities
Specific areas of focus may include (but are not limited too):
Researching, designing, and implementing scientific approaches for sensor calibration, including cameras and LIDARs.
Researching, designing, and implementing scientific approaches for SLAM (simultaneous localization and mapping).
Supporting and improving the large-scale deployment of a SLAM system shared across an autonomous robot fleet.
Evaluating and integrating new sensing modalities into an existing autonomy software stack.
Optimizing runtime performance of autonomy algorithms by exploiting underlying hardware acceleration capabilities.
Building frameworks for large-scale replay and analysis of events in pre-recorded sensor data.
Deliver high quality production level code (C++ or Python) and support systems in production.
Collaborate with other functional teams in a robotics organization.
Collaborate with hardware engineering team members on developing systems from prototyping to production level.
Work with stakeholders across hardware and operations teams to iterate on system design and implementation.
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
About the team
We are a multi-disciplinary team of collaborative Applied Scientists and Software Engineers with expertise in Computer Vision, SLAM, motion planning and controls. Our mission is to deliver a robust software solution the utilizes state-of-the-art sensor technologies and algorithms to enable safe and efficient operation of autonomous mobile robots throughout the Amazon fulfillment and transportation network. We take this mission seriously and work hard to achieve it, but we have a lot of fun along the way. After all, what's more fun than building robots?
Basic Qualifications
Proven experience in robotic perception, SLAM, or computer vision.
M.S. or PhD in Engineering, Sciences, Mathematics or similar fields.
Excellent C++ or python programming skills including debugging, performance analysis, and test design.
Preferred Qualifications
PhD and 7+ years of relevant industry or academic research experience in developing algorithms for robotic perception.
Expertise in C++, Python or any object oriented programming language.
Expertise in SLAM, 3D reconstruction, sensor calibration, or related fields.
Experience using sensors such as cameras, LIDAR, radar, sonar, GPS, IMU, etc.
Track record delivering complex algorithms on robotic devices.
GPU programming experience (CUDA/OpenCL).
Publications in robotics and computer vision conferences and journals.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.