Noah Pederson
Noah is an experienced, top performing 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, Kubernetes, 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, leading development processes
- 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 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.
QRF Control System December 2023 - Current
Sole systems engineer on the project. I work closely with the team of physicists and
electrical engineers to provide high quality, performant, command and control, PID
servos, and diagnostic tools for expert technicians to operate and diagnose QRF systems.
Education
Herzing University, BSc Software Development 2015 – 2018