echoloc

Neros Technologies Tech Stack

Defense hardware manufacturer scaling autonomous drone and RF systems

Defense and Space Manufacturing Los Angeles 51–200 employees Founded 2023 Privately Held

Neros designs and manufactures defense hardware—drones, RF systems, and precision strike platforms—with a tech stack spanning simulation (Gazebo, Mujoco), embedded systems (STM32, C/C++, Assembly), and ML/vision (TensorFlow, PyTorch, OpenCV). The company is in aggressive production ramp-up and factory construction, with engineering and ops hiring heavily skewed toward senior and mid-level roles. The pain-point list reveals the core constraint: bridging design-to-deployment speed and scaling high-volume manufacturability while meeting DoD compliance—a manufacturing maturity challenge, not a software one.

Tech Stack 116 technologies

Core StackSolidworks Python C++ TensorFlow PyTorch MATLAB SolidWorks NetSuite SAP Oracle Bill.com HFSS NX Teamcenter OpenCV Gazebo Mujoco Betaflight Altium SPICE STM32 Ansys Vector Network Analyzer Altium Designer Bluetooth Wi-Fi LoRa Ramp C/C++ Assembly+85 more
AdoptingSDN

What Neros Technologies Is Building

Challenges

  • Closing the gap between design and deployment
  • Reducing time to warfighter deployment
  • Scaling production to meet demand
  • Compliance with dod standards
  • Vulnerability gap
  • Delivering capability to warfighters quickly
  • Building brand from scratch
  • Cost-sensitive production
  • Building brand from ground up
  • High-volume manufacturability

Active Projects

  • Production ramp-up
  • Npi builds
  • Greenfield development of new manufacturing sites
  • End-to-end rf system design and layout
  • Disaster recovery strategy
  • Drone assembly
  • Factory construction
  • Developing computer vision algorithms for autonomous drones
  • Integrating vision-based solutions into autonomous drone platforms
  • Production line assembly

Hiring Activity

Accelerating60 roles · 35 in 30d

Department

Engineering
33
Ops
9
Finance
4
Marketing
4
HR
2
Manufacturing
2
Sales
2
Security
2

Seniority

Senior
24
Mid
18
Director
4
Junior
4
Lead
4
Manager
4
Principal
2
C-Level
1

Notable leadership hires: Production Director, Chief Security Officer, Facilities Director

Company intelligence

Find more companies like Neros Technologies by tech stack, pain points and active projects

Get started free

About Neros Technologies

Neros is a Los Angeles-based defense technology company founded in 2023, building asymmetric systems for autonomous platforms and RF applications. The product focus spans drone assembly and end-to-end RF system design, with active development of computer vision algorithms for autonomous operation. The company is in active production ramp-up, with new product introduction builds and greenfield manufacturing site construction underway. Neros operates across the United States and Peru, with a 51–200-person team concentrated in engineering and operations, backed by active hiring in senior technical and production leadership roles.

HeadquartersLos Angeles
Company Size51–200 employees
Founded2023
Hiring MarketsUnited States, Peru

Frequently Asked Questions

What tech stack does Neros use?

CAD/simulation: HFSS, Solidworks, NX, Gazebo, Mujoco, Ansys. Embedded: STM32, C/C++, Assembly, Altium Designer. ML/vision: TensorFlow, PyTorch, OpenCV. Wireless: Bluetooth, Wi-Fi, LoRa. ERP: NetSuite, SAP, Oracle.

Where is Neros Technologies headquartered?

Los Angeles, United States. The company also has hiring activity in Peru and is actively constructing new manufacturing facilities.

Similar Companies in Defense and Space Manufacturing

Other companies in the same industry, closest in size

How this profile is built

Neros Technologies'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.