Software Engineer, Infrastructure

3 weeks ago

London, United Kingdom Meta Full time

The Reality Labs (RL) organization at Meta is helping people around the world come together and connect through world-class Augmented and Virtual reality (AR/VR) products. With global departments dedicated to research and development in computer vision, machine learning, haptics, social interaction, and more, RL is committed to driving the state of the art forward through relentless innovation. The potential to change the world is immense - and we’re just getting started.Augmented and Virtual reality will transform the way people come together to work and play. By developing new hardware and software products capable of understanding human appearance, movement and expression, we aim to make it possible for people to feel like they are directly in front of each other, despite being separated by vast distances. By developing new products capable of understanding the human environments, we will enable a metaverse where people can share virtual experiences which interact seamlessly with the real world.Our XR Tech organisation in Zurich is focused on research and development of machine perception technologies from early concepts to production level across all of Meta’s RL products and surfaces including AR/VR products and Family of Apps (Facebook, Instagram, Messenger, WhatsApp). We develop core capabilities across a range of product domains including mixed reality, scene and object understanding, world-scale mapping, avatars, AR/VR remote presence / calling, digital fashion, AR Sharing, and more.As an Software Engineer in the XR People Tracking team, you will be responsible for designing, developing, and maintaining our team's infrastructure software, including our cloud-based platforms, APIs, and data pipelines.

Required Skills:

Design, develop, test, and deploy high-quality software that meets our standards and exceeds user expectations

Collaborate with cross-functional teams to identify and prioritize project requirements

Write clean, efficient, and well-documented code that adheres to our coding standards and best practices

Participate in code reviews and provide constructive feedback to other engineers

Identify and address performance bottlenecks and scalability issues

Develop automated tests and monitoring tools to ensure the reliability and availability of our systems

Minimum Qualifications:

Minimum Qualifications:

BS/MS degree in Computer Science or related field

5+ years of experience as a software engineer, with a strong background in system design and architecture

Strong proficiency in at least one programming language such as C++, Python, etc.

Experience with large-scale software development, including distributed systems, databases, and APIs

Familiarity with software engineering best practices such as testing, continuous integration, and agile methodologies

Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders

Excellent problem-solving skills and ability to work independently as well as collaboratively

Preferred Qualifications:

Preferred Qualifications:

Knowledge of machine learning and data analytics tools and techniques

Experience with DevOps tools and practices such as containerization, infrastructure as code, and continuous deployment

Experience with cloud computing platforms such as AWS, GCP, or Azure

Experience with containerization technologies such as Docker and container orchestration tools such as Kubernetes.

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