EPITEC
Job Title: Software Engineer IV
Contract Duration: 1 year, possible extension
Location: Burlingame, CA
Work Arrangement: Onsite
Summary The Reality Labs team at Meta is looking for Software Engineers to support our engineering teams as we build towards our goal of helping more people around the world come together and connect through world-class Augmented and Mixed Reality hardware and software. With global departments dedicated to AR/MR research, computer vision, haptics, social interaction, and more, we are committed to driving the state-of-the-art forward through relentless innovation. AR and MR potential to change the world is immense -- and we're just getting started.
Our XR Tech organization is focused on cutting edge research and development of machine perception technologies from early concepts to production level across all of Metas AR/MR products and surfaces. These include Quest products, Meta Glasses and Family of Apps (Facebook, Instagram, Messenger, WhatsApp). We develop core capabilities across a range of product domains including Spatial AI, Avatars, AR/MR remote presence/calling, AR Commerce, AR Sharing and more.
In this role, you will be building data collection tools that work with specialized hardware and allow us to collect real world data at a large scale. We're addressing a variety of technical challenges in the areas of collecting high quality data and generating ground truth that enables the training and evaluation of various ML models, including depth estimation, object detection, scene understanding, 3D reconstruction, SLAM tracking and occlusion modeling. Do you want to help build a scalable end-to-end pipeline that brings real-world AI to billions of people? We encourage you to apply and join us!
Responsibilities
Design and implement core data collection tooling components Conduct design and code reviews Maintain, analyze and improve efficiency, scalability, and stability of various system infrastructure Establish self as an owner of a particular component, feature or system with expert end-to-end understanding Successfully completes projects at large scope while maintaining a consistent high level of productivity Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Proficiency in Python or C++, and experience in developing, debugging, and optimizing user facing applications. Experience with Linux command-line tools and shell scripting. Preferred Qualifications
MSc or PhD degree in Computer Science or Computer Engineering. Experience with network configuration and troubleshooting, including tools like iwconfig, ifconfig, netstat, and tcpdump. Knowledge of Android Debug Bridge (ADB) for device communication and control. Experience with debugging tools for diagnosing and resolving issues within the Linux operating system and networking layers Must Have Skills
Proficient with Python or C/C++ Experience with Linux command-line tools and shell scripting. Familiarity with Ethernet and WiFi networking protocols. Nice to Have Skills
Strong skills in writing and debugging bash scripts for automation tasks, such as log collection, system monitoring, and routine maintenance. Effective communication skills to work with cross-functional teams and document troubleshooting steps and solutions.
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Summary The Reality Labs team at Meta is looking for Software Engineers to support our engineering teams as we build towards our goal of helping more people around the world come together and connect through world-class Augmented and Mixed Reality hardware and software. With global departments dedicated to AR/MR research, computer vision, haptics, social interaction, and more, we are committed to driving the state-of-the-art forward through relentless innovation. AR and MR potential to change the world is immense -- and we're just getting started.
Our XR Tech organization is focused on cutting edge research and development of machine perception technologies from early concepts to production level across all of Metas AR/MR products and surfaces. These include Quest products, Meta Glasses and Family of Apps (Facebook, Instagram, Messenger, WhatsApp). We develop core capabilities across a range of product domains including Spatial AI, Avatars, AR/MR remote presence/calling, AR Commerce, AR Sharing and more.
In this role, you will be building data collection tools that work with specialized hardware and allow us to collect real world data at a large scale. We're addressing a variety of technical challenges in the areas of collecting high quality data and generating ground truth that enables the training and evaluation of various ML models, including depth estimation, object detection, scene understanding, 3D reconstruction, SLAM tracking and occlusion modeling. Do you want to help build a scalable end-to-end pipeline that brings real-world AI to billions of people? We encourage you to apply and join us!
Responsibilities
Design and implement core data collection tooling components Conduct design and code reviews Maintain, analyze and improve efficiency, scalability, and stability of various system infrastructure Establish self as an owner of a particular component, feature or system with expert end-to-end understanding Successfully completes projects at large scope while maintaining a consistent high level of productivity Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Proficiency in Python or C++, and experience in developing, debugging, and optimizing user facing applications. Experience with Linux command-line tools and shell scripting. Preferred Qualifications
MSc or PhD degree in Computer Science or Computer Engineering. Experience with network configuration and troubleshooting, including tools like iwconfig, ifconfig, netstat, and tcpdump. Knowledge of Android Debug Bridge (ADB) for device communication and control. Experience with debugging tools for diagnosing and resolving issues within the Linux operating system and networking layers Must Have Skills
Proficient with Python or C/C++ Experience with Linux command-line tools and shell scripting. Familiarity with Ethernet and WiFi networking protocols. Nice to Have Skills
Strong skills in writing and debugging bash scripts for automation tasks, such as log collection, system monitoring, and routine maintenance. Effective communication skills to work with cross-functional teams and document troubleshooting steps and solutions.
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