Software Engineering, AR Research

Key Skills

Algorithms, Automation, AWS, Azure, C Programming, C++, Continuous Integration & Continuous Delivery - CI/CD, CUDA/GPU programming, Deep Learning, DevOps, Effective communication skills, Google Cloud Platform (GCP), JavaScript, Kubernetes-K8s, Machine learning techniques, MLOps tools, Python Programming, Software Development, Unix Operating system, Video processing/compression

Job Description

Niantic’s Augmented Reality R&D Team is seeking an ambitious Software Engineer to push the frontiers of high-quality AR.

You will work as part of a diverse team focusing on experimental innovation at the intersection of machine learning, computer vision, and augmented reality. We balance the culture of scientific investigation with the product-led focus of the wider company. We develop cutting-edge research and deploy it to our games and platform.

We are passionate about discovery, so we’re looking for an engineer who wants to learn and deploy inventions that could help make better “adventures on foot, with others.” Niantic leads the advancement of AR and other immersive technologies, which are deployed in engaging apps for millions of users.

Responsibilities

• Collaborate with scientists and engineers to build software systems and tools to advance R&D.
• Participate in code reviews, write tests, and build automations to ensure correctness, robustness, and quality of code.
• Work cross-functionally to deliver AR features to the Lightship platform and Niantic games.
• Advocate for best practices in software development and infrastructure with a focus on testability, scalability, and maintainability.
• Work in an agile, communicative, and self-directed manner as a member of a collaborative, interdisciplinary, diverse, and geographically-dispersed team.
• Collaborate with cross-functional team members and stakeholders, including regular and reliable attendance and participation in meetings.
• Required in-office 2 days on Tuesday and Wednesday.

Qualifications

• Excellent practical software engineering ability, with proficiency in Python and working knowledge of Unix and shell scripting.
• Close attention to detail and a passion for building high-quality systems and features with rigorous standards of testing.
• Ability to work in a fast-paced hybrid environment and handle stress appropriately and/or ability to solve practical problems and be sufficiently adaptable to handle dynamic situations with little advance notice. 
• Experience working on cross-functional teams with ability to communicate effectively through written and verbal communications, including synchronous interactions with others.

Plus If...

• Proficiency in C++, C# (Unity), or JavaScript.
• Expertise in automation, CI/CD, DevOps, MLOps, monitoring and cloud computing tooling, e.g. Kubernetes, Argo, Kubeflow, Ansible, Terraform, etc.
• Experience designing for and running deep learning training systems at scale, including multi-server and multi-GPU training, and managing deep learning hardware resources.
• Experience building cloud-based and/or hybrid solutions with leading providers such as Amazon Web Services, Google Cloud Platform, Microsoft Azure.
• Hands-on experience building efficient data pipelines for large-scale (image/video) processing, and strong knowledge of relevant data structures and algorithms.
• Previous experience working in a research lab or with researchers.

The total compensation package for this position includes a new hire offer base salary range of GBP 87,000 - GBP 102,000 + bonus + equity + benefits.

Individual pay within this salary range is determined by work location and additional factors, including assessed job-related skills, experience, and relevant education or training. Your recruiter can answer any questions about new hire total compensation during the hiring process. An overview of benefit offerings for your location can be found on the careers page.