echoloc

Reliable Robotics Corporation Tech Stack

Autonomous flight systems for uncrewed aircraft certification and integration

Airlines and Aviation Mountain View, CA 51–200 employees Founded 2017 Privately Held

Reliable Robotics builds safety-critical flight control and autonomous navigation systems for uncrewed aircraft. The stack—DO-178C, FPGA, C++, MATLAB, and avionics-grade tooling (Altium, NX, Teamcenter)—reflects aerospace certification maturity. Active projects span radar integration, closed-loop flight testing, and airspace integration; pain points cluster around manufacturing scale, design validation velocity, and the compliance burden of federal certification. Hiring is engineering-dominated (59 of 73 roles) and senior-skewed (48 senior roles), suggesting heavy lift on algorithm and systems hardening rather than greenfield growth.

Tech Stack 53 technologies

Core StackC++ Python MATLAB JavaScript TypeScript pandas Django AWS Terraform Docker Tableau Power BI Superset Metabase React Jenkins Vue Angular FPGA DO-178C Altium Designer SPICE DSP NX Altium Teamcenter C/C++ matplotlib Travis CI Lit+23 more

What Reliable Robotics Corporation Is Building

Challenges

  • Making phased array radar affordable
  • Growing primitive test operations
  • Enabling detect and avoid
  • Maturing processes
  • Scalable design validation
  • Rapid design iteration
  • Compliance with federal regulations
  • Scaling manufacturing processes
  • Accelerating product certification
  • Certification challenges for unmanned aircraft

Active Projects

  • Radar system integration and testing
  • Closed-loop flight control testing
  • Certifiable safety-critical flight systems
  • Air to air radar development
  • Remote piloted aircraft system development
  • Flight guidance algorithm development
  • Integration of uncrewed aircraft into national airspace system
  • Automated test equipment systems for functional, environmental qualification, and manufacturing acceptance tests
  • Guidance system design and implementation
  • Unmanned aircraft operations systems

Hiring Activity

Accelerating75 roles · 35 in 30d

Department

Engineering
59
Ops
7
Manufacturing
3
HR
2
Finance
1

Seniority

Senior
48
Mid
21
Junior
1
Lead
1
Manager
1
Company intelligence

Find more companies like Reliable Robotics Corporation by tech stack, pain points and active projects

Get started free

About Reliable Robotics Corporation

Reliable Robotics develops autonomous flight systems for uncrewed aircraft, with a focus on certifiable safety-critical avionics and detect-and-avoid capability. Founded in 2017 and based in Mountain View, the company operates at the intersection of robotics, aerospace engineering, and regulatory compliance—building systems that must integrate into the national airspace. The 51–200 person team is heavily concentrated in engineering, with active work on radar systems, flight guidance algorithms, flight control validation, and the operational infrastructure needed to move uncrewed aircraft from test into service. Primary constraints are certification timelines, manufacturing scalability, and the technical maturity of detect-and-avoid systems.

HeadquartersMountain View, CA
Company Size51–200 employees
Founded2017
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Reliable Robotics use?

Core stack: C++, Python, FPGA, MATLAB, DO-178C (aerospace safety standard), Altium Designer, NX CAD, Teamcenter PLM. Observability: Tableau, Power BI, Metabase. Infrastructure: AWS, Docker, Terraform, Jenkins.

What is Reliable Robotics working on?

Closed-loop flight control testing, radar system integration, flight guidance algorithms, detect-and-avoid capability, remote aircraft operations systems, and airspace integration—all aimed at certifiable autonomous flight.

Similar Companies in Airlines and Aviation

Other companies in the same industry, closest in size

How this profile is built

Reliable Robotics Corporation'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.