Software Engineer (Quantum Platform and Tools)

Posted Yesterday
Be an Early Applicant
5 Locations
In-Office or Remote
Mid level
Artificial Intelligence • Hardware • Information Technology • Software • Quantum Computing
The Role
Develop core components for a quantum computing software stack, integrating advanced techniques, optimizing system performance, and enhancing tools and APIs.
Summary Generated by Built In

Advance practical quantum computing through robust, production‑grade software.

Haiqu is building a world-leading software platform that enables previously impossible applications on modern quantum processors. Our full-stack approach has shown industry-first results in pilots with leading quantum early adopters. Backed by top investors, we offer a unique opportunity to join a fast-growing team and shape the development of the Quantum Computing software stack, allowing researchers and engineers to build meaningful applications without worrying about low-level intricacies.
We are looking for a Software Engineer (Quantum Platform and Tools) to contribute to the development of core components of our stack—from designing performant transpilation passes and hardware integrations to expanding our cloud‑native SDK and CI/CD pipelines.

Responsibilities

  • Design and implement the hybrid quantum‑classical workflow orchestration.  Integrate advanced error‑mitigation techniques, develop novel quantum application primitives, and optimize system performance (including low-level implementations where necessary).
  • Extend and maintain Haiqu’s SDK, developer tools, APIs, and backend systems to deliver a seamless and robust quantum development experience.
  • Develop and optimise circuit transpilation and mapping strategies tailored to the constraints of multiple quantum hardware back‑ends.
  • Build and maintain hardware‑integration layers for a growing set of quantum providers.
  • Evolve our cloud infrastructure, CI/CD pipelines, and monitoring to ensure secure, scalable, and reliable system performance.
  • Write thorough tests, benchmarks, and documentation to maintain code quality and reproducibility across the stack.

Strong Plus: 

  • Basic quantum transpiler knowledge, such as:
    • Quantum circuit optimization
    • Gate decomposition and mapping
    • DAG structures and graph manipulation
    • Basis gate sets and device-specific transformations
  • Experience working close to quantum hardware APIs. Experience of API-level interaction and understanding of device-specific properties (e.g., coherence times, gate fidelities, execution queues)

Requirements
  • Strong experience in Python and modern software engineering practices
  • Be comfortable with low-level programming when needed (e.g. C++, Rust, C)
  • Strong software engineering background, including:
    • Design patterns
    • Data structures and algorithms
    • API design (REST)
    • Working with databases (SQL and NoSQL)
    • Writing documentation and integration tests
  • Understanding of functional programming concepts (e.g. monoids, composition, higher-order functions)
  • Familiarity with quantum computing concepts such as:
    • Quantum circuits
    • Measurements, observables
    • Noise channels
    • Error mitigation
    • Error-correction 
    • Quantum Machine Learning
  • Prior exposure to quantum SDKs (e.g., Qiskit, Cirq, PennyLane) and Quantum simulators.
  • Hands-on experience with DevOps and infrastructure tools:
    • Docker
    • Cloud environments (GCP and AWS)
    • CI/CD workflows

Comfortable working remotely and asynchronously across time zones


Benefits

We offer competitive compensation with significant equity and benefits. Join a diverse, flexible workplace building the future of quantum computing.

Top Skills

AWS
C++
Ci/Cd
Cirq
Docker
GCP
NoSQL
Pennylane
Python
Qiskit
Rust
SQL
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The Company
18 Employees

What We Do

Haiqu is a quantum software company developing new application execution stack for all modalities of near-term quantum computers. Our software holds the scale records for data loading, computational fluid dynamics, deep simulation, and noise-resilient QML.

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