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hibob

Software Engineer (Device & Edge Applications)

Cambridge Aerospace
Cambridge, GBR
Full-time
Senior
Onsite
Discovered 2 weeks ago
PythonC++RustGoC#Postgres

Full Job Posting

Job description

As an engineer in the Internal Tooling team, you'll build the software that runs on our physical devices. That includes test stations, manufacturing rigs, lab equipment and the computers that control them. Your applications control and read from custom hardware and instruments, then reliably send that data to backend services where the rest of the company can use it. Our users are our own colleagues, across engineering, manufacturing, and all other departments. Feedback loops are extremely fast; our work exists to enable the company to move faster and increase our resilience. You'll work across hardware interfaces, device applications and backend integration. You should be comfortable picking up new protocols, devices and technologies as projects require.

Lead the design of applications and services that run on physical devices and talk to custom hardware and lab instruments

Build reliable data pipelines from devices to backend APIs that cope with network outages, hardware faults and restarts without losing data

Design device software for easy deployment, configuration, updates and remote diagnosis

Work with hardware, test and manufacturing engineers to turn physical processes into dependable software

Work with backend and platform teams to define APIs and data contracts between devices and services

Mentor teammates and share hardware-integration best practices

Look for opportunities to automate and instrument more of our physical processes

Strong proficiency in Python, C++ or similar (e.g. Rust, Go, C#)

Experience writing software that talks to hardware over interfaces such as serial, USB, CAN, and Ethernet/TCP

Experience building clients that send data to backend APIs (e.g. REST), including retries, buffering and offline operation

Solid Linux experience: services (systemd), networking, permissions and device access

Understanding of concurrency, async I/O and robust error handling in long-running applications

Experience owning the full development lifecycle: requirements, design, implementation, testing, documentation and handover

Comfortable with standard engineering practices: Git, code review, agile planning

Embedded firmware or microcontroller development (e.g. STM32)

Device fleet management: provisioning, over-the-air or remote updates, configuration management, device monitoring

Containerised deployments on edge devices with Docker

Testing hardware-dependent code: hardware-in-the-loop (HITL) testing, simulators and mocks

Improving CI/CD pipelines, including cross-compilation and building device images

Familiarity with backend storage and cloud services (e.g. Postgres, AWS S3, DynamoDB, Lambda)

Simple operator UIs (e.g. tkinter, web-based local UIs, TypeScript)

Using AI tools to speed up your work while keeping quality high and your own understanding solid

Manufacturing, aerospace, or other hardware-focused industries

Start-ups or other fast-paced engineering environments

Competitive compensation and stock options

Private Medical & Dental

Cycle to work scheme

Lunchtime catering on site

Requirements

  • Strong proficiency in Python, C++ or similar (e.g. Rust, Go, C#)
  • Experience writing software that talks to hardware over interfaces such as serial, USB, CAN, and Ethernet/TCP
  • Experience building clients that send data to backend APIs (e.g. REST), including retries, buffering and offline operation
  • Solid Linux experience: services (systemd), networking, permissions and device access
  • Understanding of concurrency, async I/O and robust error handling in long-running applications
  • Experience owning the full development lifecycle: requirements, design, implementation, testing, documentation and handover
  • Comfortable with standard engineering practices: Git, code review, agile planning
  • Embedded firmware or microcontroller development (e.g. STM32)
  • Device fleet management: provisioning, over-the-air or remote updates, configuration management, device monitoring
  • Containerised deployments on edge devices with Docker
  • Testing hardware-dependent code: hardware-in-the-loop (HITL) testing, simulators and mocks
  • Improving CI/CD pipelines, including cross-compilation and building device images
  • Familiarity with backend storage and cloud services (e.g. Postgres, AWS S3, DynamoDB, Lambda)
  • Simple operator UIs (e.g. tkinter, web-based local UIs, TypeScript)
  • Using AI tools to speed up your work while keeping quality high and your own understanding solid
  • Manufacturing, aerospace, or other hardware-focused industries
  • Start-ups or other fast-paced engineering environments

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