Lead Platform Engineer

Oxford Quantum Circuits (OQC)

. Set the technical direction for OQC's hybrid compute platform .

Posted 10/8/2026full-timeLondon • United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and architecting hybrid compute platforms, integrating classical and quantum resources while ensuring security, observability, and reliability. Proficient in leading technical direction and collaborating across diverse teams to support complex distributed systems.

Highest-signal resume keywords

Hybrid Compute Platform ArchitecturePython, Go, or Rust ExpertiseAPI and Containerized System DesignKubernetes or Slurm ExperienceSecurity and Observability in Distributed Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Distributed Systems ArchitectureWorkload OrchestrationEvent-Driven Architecture DesignStable Interface DesignTask OrchestrationPolicy EnforcementBackend Adapter DevelopmentTechnical Direction SettingHands-On EngineeringCompute Platform Development

Soft Skills

Strong OwnershipEffective CommunicationCross-Disciplinary Collaboration

Tools & Technologies

KubernetesSlurmDell InfrastructureAMD GPUsDatabricksQPU Systems

Industry Keywords

Hybrid WorkloadsCompute PlatformsOrchestration SystemsMachine Learning InfrastructureSecurity Standards

Tech Stack

Tools & technologies

KubernetesPythonRustGo

About the role

Key responsibilities & impact

Set the technical direction for OQC's hybrid compute platform
Design the architecture connecting classical and quantum resources into a single, extensible system
Design foundations enabling secure, observable and repeatable workloads across CPUs, GPUs, simulators and QPUs
Own the architecture and technical direction of OQC's QAIDC hybrid spine, Hybrid IR, device-capability model and execution-record contracts
Design stable abstractions across CPUs, AMD GPUs, simulators and QPUs
Architect capability matching, task orchestration, fallback mechanisms, policy enforcement and backend adapters
Set engineering standards for reliability, security, testing, observability and extensibility
Lead integrations with Dell/AMD infrastructure, Databricks, QPU systems and customer environments
Coordinate technical contributors across Product, Engineering, Commercial and leadership teams
Shape the platform for long-term evolution and support increasingly sophisticated hybrid workloads

Requirements

What you’ll need

Significant experience as a senior distributed-systems architect or engineer building compute platforms, orchestration systems, ML infrastructure or similarly complex distributed technology
Deep hands-on engineering expertise in Python, Go or Rust
Strong experience designing APIs, containerised systems and event-driven architectures
Experience with Kubernetes, Slurm or comparable workload orchestration technologies
Strong understanding of security and observability within distributed platforms
Proven ability to design stable interfaces across heterogeneous compute or hardware resources
Technical depth to set architectural direction while remaining highly hands-on with engineering and implementation
Strong ownership and communication skills, with experience working effectively across multiple technical and commercial disciplines
Degree or equivalent practical experience in Computer Science, Software Engineering or a related discipline

Benefits

Comp & perks

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