ABOUT THIS FEATURED OPPORTUNITY Support research scientists in using critical infrastructure (e.g.
source control, distributed compute clusters, data storage) most effectively.
Coordinate with a large set of internal infrastructure and tool teams across the lab to evaluate and integrate with existing systems.
Write clean readable code, debug complex problems that span systems, prioritize ruthlessly and get things done with a high level of efficiency.
Learn constantly, dive into new areas with unfamiliar technologies, and embrace the ambiguity of AR/VR problem solving.
THE OPPORTUNITY FOR YOU Create tooling and infrastructure to make Augmented Reality & Virtual Reality research more efficient.
Demonstrate proficiency in computational complexity, algorithm design, low level computer architecture, software design.
Utilize experience in Windows or Linux shell scripting.
Demonstrate proficiency in using source control systems (e.g.
Git, Perforce, Mercurial).
Provide subject matter expertise in Python programming.
KEY SUCCESS FACTORS Preferred Qualifications Experience in one or more of the following areas is highly desired: Experience in Windows or Linux system administration Deployment and continuous integration experience Experience in web programming Familiarity with Machine Learning Proficiency in Python Experience using Kubernetes or Docker AWS experience (Cloudfront, Lambda, Cognito) BS degree in Computer Science or related field, or equivalent work experience