Noah Pederson
Noah is an experienced technologist who has spent the last several years deeply
integrated in R&D as an individual contributor and technical lead manager in deep
tech
and telecom.
Experience
Technologies / Skills
Rust, Python, Linux, Kuberentes, Docker, UNIX, networking, ZFS, distributed systems,
project management, resource constrained systems, distributed computing, scientific
computing, hardware integration
Tech. Lead/Software Engineer, ColdQuanta/Infleqtion Nov 2019 – current
Infleqtion (formerly ColdQuanta) is an industry leading quantum atomics company.
- Lead geographically distributed team of software engineers responsible for
real-time hardware control and programming, driving development processes, leading
multiple projects, consulting on design and requirements
- Design, prototype, and implement distributed semi-embedded control system for
optical atomic clock using Rust and Python
- Use specialized LLVM backed Python realtime programming system (Artiq) to create
stable quantum program execution environment
- Work closely with specialized physics team to provide tools for composing
experiments that execute on bespoke hardware
- Hired and handed off DevOps responsibilities to newly formed team
- Review complex, multidisciplinary, performance and safety sensitive code
- Lead technical-design reviews for existing software infrastructure,
identifying weakness in architecture and high ROI potential improvement
Sr. Software Engineer, TDS Telecom Aug. 2016 – Nov. 2019
Regional Internet Service Provider and Telecom.
- Design, develop, test, and maintain a range of internal full-stack applications
- Automate the management and configuration of specialized network equipment
- Prototype OpenShift/Kubernetes system architecture for use across entire company
- Develop automation for complex network equipment graph management
Projects
Optical Atomic Clock Control System July 2023 - Current
Utilize Rust and various other tools to design, rapidly prototype, deploy, and test soft
realtime control system using Python and Rust with extremely tight deadlines.
Collaborate with electrical engineering team for embedded driver control and
integration. Manage distributed state across networked nodes for servo control,
monitoring, and analysis. Deliver on extremely tight deadlines with limited hardware
testing capability.
Laser Monitoring Aug 2022
Integrate new industrial camera hardware partially into hard realtime system for
advanced diagnostics and monitoring of laser subsystems using Python and C.
Education
Herzing University, BSc Software Development 2015 – 2018