Sr. Applied Scientist, Hardware-Technology & Archit

This job is with Amazon, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

DESCRIPTION:

We are seeking an experienced Senior Applied Scientist to join our camera technology team. This role will be instrumental in defining and implementing the next generation of imaging technologies for Amazon's devices.

Key job responsibilities
ISP Architecture design:
The architect leads gathers requirements from stakeholders, product managers, internal and external vendors (sensors and SoC) as well as the customers (image quality and CV),  and builds design specifications for camera ISP architecture. That includes functional blocks, data flow, use cases, management of system resources (compute, memory bandwidth, PPA),  pipeline design, prototyping and performing feasibility studies as needed.

Algorithm Design & Implementation:
Design novel and improve existing algorithms for implementation in ASIC or software, classical/ML/DL/AI, requiring deep understanding of science foundations and the state-of-the-art, system tradeoffs, and attention to detail.

Cross-Functional Collaboration:

Working with cross-functional teams to solve imaging problems and invent to deliver still and video experiences using traditional computational imaging and machine learning, both on-device and in the cloud.

Vendor Management:
Communicating with vendors to clarify design nuances and understand limitations, and overseeing image tuning to ensure the final pipeline meets customer expectations.

Image Quality Leadership:
Combining deep knowledge of imaging science with passion for beautiful images, applying image quality tuning principles, testing methodologies, and subjective assessment.

Inventive Problem Solving:
Applying proven problem-solving and research skills to address imaging challenges across various Amazon camera products.

About the team
Amazon Lab
126 is an inventive research and development organization that designs and engineers high-profile consumer electronics. We are the team behind Amazon Echo devices, Fire tablets, Home robot, Fire TV, and Cloud Cam.

BASIC QUALIFICATIONS:

- Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Software development skills in C/C++, Python, Matlab, or similar languages

PREFERRED QUALIFICATIONS:

- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Hands-on experience with ISP tuning

- Experience with neural network integration in imaging pipelines, AI-based post-processing, or computational photography
- Knowledge in any camera/imaging related areas, e.g. any of:
Camera 3A algorithms:
Expertise in auto-exposure, auto-white balance, auto-focus algorithms and control theory;
Low-level camera control:

Experience with kernel drivers, V4L2, Gstreamer, UVC, MIPI, I2C, SPI, and LVDS interfaces;
Computer Vision:
Understanding of CV principles including machine learning, CNNs, DNNs, and OpenCV, particularly for image quality optimization;
Hardware Acceleration:
Knowledge of GPU optimization, OpenCL, and hardware-software co-design

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants:
Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.

These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully…