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Vector Atomic Tech Stack

Quantum sensors and navigation systems for commercial deployment

Research Services Pleasanton, California 51–200 employees Founded 2018 Public Company

Vector Atomic commercializes quantum technology—atomic clocks, gyroscopes, and accelerometers—for GPS-free navigation, telecommunications, and sensing applications. The stack reveals deep hardware engineering maturity: simulation tools (COMSOL, Lumerical, Zemax), FPGA design (Vivado, Verilog, SystemVerilog, UVM), PCB tooling (Altium), and embedded systems (Linux, ARM, C/C++, Rust). Current hiring is heavily weighted toward senior and staff engineers in a 13-to-2 ratio versus research roles, and pain points cluster around manufacturing scale (yield, DFM/DFA, process variability, prototype-to-production translation)—indicating the company is transitioning from R&D-led prototyping into volume production and customer support.

Tech Stack 29 technologies

Core StackPython MATLAB Jira Rust Solidworks SolidWorks CMMS Embedded Linux Bash Altium Designer Altium LTspice LabVIEW Vivado Questa Verilog VHDL TCL SystemVerilog UVM U-Boot I2C AXI C/C++ ARM Lumerical COMSOL Zemax SolidWorks PDM

What Vector Atomic Is Building

Challenges

  • Building service processes
  • Enhancing product reliability
  • Dfm/dfa challenges
  • Improving fabrication yield
  • Troubleshooting customer-reported issues
  • Meeting yield and quality targets
  • Continuous improvement of pcb designs
  • Prototype to scalable production
  • Reducing process variability
  • Scaling prototypes to commercial products

Active Projects

  • Ultraprecise quantum devices for autonomous navigation
  • Custom pcbs for precision sensor systems
  • Fpga-based instrument systems for quantum sensors
  • High-bandwidth satellite communications
  • Deploy prototype sensors into real-world environments
  • Prototype to commercial product translation
  • Geophysical exploration
  • Quantum sensor prototype development
  • Development of laser stabilization protocols
  • Supporting system integration

Hiring Activity

Accelerating15 roles · 15 in 30d

Department

Engineering
13
Research
2
Manufacturing
1
Ops
1

Seniority

Senior
9
Mid
5
Staff
3
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About Vector Atomic

Vector Atomic develops quantum sensors and navigation systems designed for real-world deployment in military, aerospace, and telecommunications markets. The company's product roadmap spans ultraprecise navigation devices, satellite communications systems, and geophysical exploration sensors, all built on proprietary atomic physics and laser stabilization. Beyond products, Vector Atomic offers consulting and engineering services to help customers adopt quantum technologies. Based in Pleasanton, California, the company operates a 51–200-person organization with active manufacturing and system integration operations.

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

Frequently Asked Questions

What is Vector Atomic's tech stack?

Vector Atomic uses FPGA design tools (Vivado, Verilog, SystemVerilog), PCB design (Altium Designer), embedded systems (Python, Bash, Linux, ARM, C/C++, Rust), physics simulation (COMSOL, Lumerical, Zemax), and lab instrumentation (LabVIEW, MATLAB). Manufacturing is supported by Solidworks, LTspice, and U-Boot bootloader.

What is Vector Atomic working on?

Active projects include ultraprecise quantum devices for autonomous navigation, FPGA-based quantum sensor systems, high-bandwidth satellite communications, custom PCBs for precision sensors, laser stabilization protocols, and prototype-to-commercial-product translation across geophysical and sensing applications.

How this profile is built

Vector Atomic'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.