Job Description

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.

The Software Test Engineer 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.

Responsibilities

• 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.
• Develop and modify test sequences including measurement and calibration algorithms.
• Work closely with other functional groups (TPMs, Electrical Engineering, software/firmware Engineering) to bring the test systems development from the R&D stage all the way through to mass production.
• Support failure analysis on systems returned from the field and use data to improve test strategies and processes.
• Domestic and International travel up to 20%.
  

Minimum Qualification

• 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/demosizing), segmentation, saliency, and object detection.
• Coding skills 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.
  

Preferred Qualification

• MS degree in Machine Learning, Computer Vision, Computational Photography
  

Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.