Embedded Software Engineer – Innovation Transfer

Oxford Quantum Circuits (OQC)

. Develop high-performance device drivers in modern C/C++, with Python bindings for higher-level testing and system interfaces .

Posted 9/22/2026full-timeReading • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing high-performance device drivers using modern C/C++ and Python, with a strong focus on embedded software for quantum computing applications. Proficient in translating scientific requirements into practical firmware solutions while collaborating effectively with multidisciplinary engineering teams.

Highest-signal resume keywords

C++ DevelopmentPython DevelopmentEmbedded Software DesignContinuous IntegrationQuantum Computing Knowledge

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Hard Skills

C++PythonEmbedded SoftwareFirmware DevelopmentContinuous IntegrationMetaprogrammingSafe Memory ManagementTest-First DevelopmentFPGA UnderstandingRust

Soft Skills

Strong CommunicationCollaboration

Tools & Technologies

LinuxCMakeMesonPybind11VerilogVHDL

Industry Keywords

Quantum ComputingQuantum Control SystemsQuantum Error CorrectionHardware-in-the-Loop TestingConstrained-Memory Environments

Tech Stack

Tools & technologies

LinuxPythonRustC++

About the role

Key responsibilities & impact

Develop high-performance device drivers in modern C/C++, with Python bindings for higher-level testing and system interfaces
Build automated test protocols for quantum hardware drivers and embedded software, covering functional, security, timing, latency and performance requirements
Translate quantum-level goals from scientific teams into firmware requirements, test cases and CI/CD quality gates
Collaborate with FPGA and Compiler teams to refine system architecture and technical specifications for new low-level capabilities
Provision and operate hardware-in-the-loop testing environments for new features and existing systems
Design, review and document embedded software components, turning early-stage ideas into practical architectural design records
Diagnose and resolve software issues in experimental hardware
Partner with multidisciplinary engineering teams to accelerate full-stack quantum computer development
Turn experimental concepts and scientific requirements into robust embedded software for OQC’s quantum computing platform
Move new capabilities from prototype to production while improving performance, reliability and scalability of the technology stack

Requirements

What you’ll need

Bachelor’s degree, or equivalent experience, in Computer Science, Electronic Engineering or a related numerical discipline
Strong Python development skills
Proficiency in modern, performance-focused C++, including safe memory management, constant expressions, metaprogramming and Linux runtimes; equivalent proficiency in Rust will also be considered
Experience developing software for constrained-memory environments and compute-intensive workloads
Understanding of continuous integration and test-first development practices
Strong communication skills and ability to work effectively across diverse scientific and engineering teams
Curiosity about quantum computing, quantum control systems and quantum error correction
Nice to have: understanding of FPGAs in embedded systems and familiarity with Verilog or VHDL
Nice to have: production-level Python experience, including uv, static typing, API design and code-quality practices
Nice to have: production-level C++ experience, including CMake or Meson and pybind11
Nice to have: familiarity with quantum computing control systems
Nice to have: experience developing and modernising established or brownfield codebases

Benefits

Comp & perks

Culture of bold innovation
Opportunity to work with unique lab infrastructure
Opportunity to see your work redefine the limits of computation
Benefits and positive work culture (further details provided via the careers webpage)