The position is part of a multidisciplinary team generating high fidelity synthetic data. This data is used for algorithm development and validation, deep learning training sets and developing state of the art sensor technologies. An ideal candidate will be a well-rounded engineer with a wide familiarity of technological stacks which will be used to design and implement the infrastructure supporting the team’s various data solutions. Candidate will be in charge of sustaining the ongoing flow of data production through the tools he\she will build. Additionally will be expected to guide the rest of the team on becoming familiar with these tools and will serve as the technological front of the team.
Develop infrastructure for computer vision data production.
Create solid, future proof, reusable solutions and code base
Provide visibility into pipeline’s health and status
Optimize production rate, cost and quality
Guide fellow team members on infrastructure usage and implementation
Qualifications - Must:
3+ years of software development experience in an OOP.
Strong familiarity with Linux: scripting, file management, networking, deployment
Experience with Cloud Infrastructure (preferably GCP)
Ability to write clean organized code that will be used and modified by multiple additional team members.
Hands on experience with docker
Qualifications - Nice to Have:
Familiarity with 3D Modeling \ Rendering \ Video production
Applicative Linear Algebra
Full Stack experience using a web framework, working with relational databases
BSc in computer science or mathematics or physics or comparable work \ army experience