echoloc

Atom Computing Tech Stack

Neutral-atom quantum computers with optical trapping arrays

IT Services and IT Consulting Berkeley, California 51–200 employees Founded 2018 Privately Held

Atom Computing builds quantum computers using optically-trapped neutral atoms—a hardware-intensive effort reflected in their stack of Cadence, Synopsys, Siemens EDA, and specialized design tools (Zemax, Onshape, Altium Designer). The hiring mix is 96% engineering, heavily weighted toward senior and principal roles, targeting control-systems architecture, ASIC design, and FPGA development. Active projects span hardware upgrades, ASIC density improvements, and greenfield quantum software-stack development, while they're adopting Qiskit and Cirq for quantum algorithm simulation—typical of companies building the hardware-software boundary.

Tech Stack 54 technologies

Core StackSolidWorks Solidworks AWS Docker Podman GitLab CI/CD Datadog Grafana Terraform Ansible Helm Kubernetes GitLab Python Rust C++ PostgreSQL MySQL MongoDB Redis Go Cadence Synopsys Siemens EDA Zemax Onshape Azure GCP Proxmox VE Altium Designer+21 more
AdoptingQiskit Cirq

What Atom Computing Is Building

Challenges

  • Upgrading existing quantum hardware
  • Enabling higher performance higher density asics
  • Optimizing performance power area trade-offs
  • Balancing advanced tech and main processor line development
  • Accelerating quantum computing roadmap
  • Performance optimization across quantum workloads
  • High availability distributed systems
  • Scaling backend services for quantum computing
  • High volume hiring
  • Recruiting efficiency

Active Projects

  • Upgrade existing quantum computing hardware
  • Asic research for higher density
  • Internal asic design process
  • Fpga architecture learning
  • Control systems for quantum computers
  • Fpga-based control functions for high-speed arbitrary waveform generation
  • Greenfield development of quantum platform software stack
  • Advance roadmap research projects
  • Execution scheduling and result analysis
  • Automation of system tuning and calibration

Hiring Activity

Accelerating25 roles · 25 in 30d

Department

Engineering
23
HR
1

Seniority

Senior
16
Mid
3
Principal
3
Manager
2
Company intelligence

Find more companies like Atom Computing by tech stack, pain points and active projects

Get started free

About Atom Computing

Atom Computing designs and manufactures quantum computers based on neutral-atom arrays trapped in optical potentials. Founded in 2018 and based in Berkeley, the company operates across hardware design (ASIC and FPGA), classical control systems, and quantum software integration. The organization is engineering-led with 23 active roles in engineering posted in the last 30 days, focused on control electronics, system simulation, and platform software. They work with customers in research and commercial quantum computing applications, addressing the hardware challenges of scaling atom count, density, and system coherence.

HeadquartersBerkeley, California
Company Size51–200 employees
Founded2018
Hiring MarketsUnited States

Frequently Asked Questions

What is Atom Computing's quantum computing approach?

Atom Computing builds quantum computers using arrays of optically-trapped neutral atoms. The hardware combines ASIC and FPGA-based control systems with a greenfield quantum software stack, targeting scalability and computational performance.

What EDA tools does Atom Computing use?

Atom Computing uses Cadence, Synopsys, and Siemens EDA for chip design, alongside Zemax for optical systems, Onshape and SolidWorks for mechanical design, and Altium Designer for board-level work.

How this profile is built

Atom Computing's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.