Meta AR/VR Job | Test SW Engineer - Machine Learning/Computer Vision

Job（岗位）: Test SW Engineer - Machine Learning/Computer Vision

Type（岗位类型）: Operations

Citys（岗位城市）: Sunnyvale, CA

Date（发布日期）: 2022-2-1

Summary（岗位介绍）

The Test SW Engineer - Machine Learning develops software used in mass production environments to calibrate, measure, and interface custom test fixtures and processes used in contract manufacturer sites to build cutting edge AR/VR products. You will be involved from initial concept to execution and maintenance of specialized AR/VR specific applications that demand high reliability. You will be responsible for developing/integrating test algorithms, interfacing with hardware using vendor and internal APIs, building distributed and resilient algorithms to process data, and interfacing with logging, databases, and restful services. For this particular position, you will first focus on developing strategy and solution for an AI/machine learning/deep learning based MFG inspection system that correlates MFG test data with images.

The ideal candidate is a self-driven individual working in a cross-functional team environment and will be responsible for planning the design, development, and implementation of factory test software. You will enforce manufacturability, testability and ensure cost-effective designs are implemented for testing and automation systems, software, and equipment. This position will have responsibilities for NPI test development and sustaining support of production released test and automation systems.

You must be responsive, flexible and able to succeed within an open collaborative peer environment. We are looking for someone with a productive mindset who can apply their expertise to solve problems in creative, insightful ways.

Qualifications（岗位要求）

Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.

3+ years’ experience in developing machine learning algorithms for tackling various computer vision and image processing problems.

Experience with computer vision and computational photography concepts.

Experience with deep learning techniques for image enhancement and restoration (denoising/inpainting/super resolution/filtering/demosaicing), segmentation, saliency, and object detection.

Experience coding in Python and C/C++.

Experience with one of the major ML frameworks (TensorFlow, PyTorch, AWS, etc.)

Experience with web technologies, such as REST, JSON, sockets.

Experience developing software that interfaces and controls hardware devices over USB/serial/network etc.

Experience with networking and security systems.

Experience with displays, cameras, and IMU calibration and calibration requirements.

Experience with cloud and database technologies such as AWS and SQL.

Experience with configuration management such as Ansible.

Experience developing solutions in both Linux and Windows environments.

Experience introducing and qualifying manufacturing test solutions to production facilities.

Experience designing and executing development projects with a design of experiment approach (DOE) to service, troubleshoot, and solve engineering problems.

Experience in statistical methods (6s, SPC, Cpk) for data analysis in production control processes.

Description（岗位职责）

Identify and apply machine learning technologies for solving specific manufacturing test applications.

Develop and train deep learning algorithms, and work closely with internal and external partners to optimize performance.

Develop software solutions to perform calibration/testing on AR/VR products.

Develop and manage roadmap and execution of software test architecture, device OS interactions, and factory integration.

Test driven development with a focus on automated deployment, and hardware in the loop testing.

Work closely with IT/InfoSec to plan requirements and execute the deployment of distributed test systems across multiple vendor sites and programs.

Develop test specifications, procedures, and debug guides for test solutions.

Validate test SW releases, including repeatability and negative testing, and coordinate SW upgrades with CM/JDM partners.

Perform troubleshooting and debugging test systems and automation solutions from a software and hardware perspective in full autonomy.

Oversee rollout and validation of SW releases at manufacturing partner.

Work with third-party test integrators in designing, developing and fabricating test systems.

Additional Requirements（额外要求）

MS degree in Machine Learning, Computer Vision, Computational Photography, or a related field.