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Contract Aws Quantum Computing Jobs (NOW HIRING)

... quantum computing solutions. This position is structured as a one-year contract, with the opportunity for extension based on satisfactory performance and mutual consent by both parties. The role ...

$126K/yr

... quantum computing solutions. This position is structured as a one-year contract, with the opportunity for extension based on satisfactory performance and mutual consent by both parties. The role ...

QBTS) is a leader in the development and delivery of quantum computing systems, software, and ... Hands-on experience with AWS and cloud-based infrastructure * Experience working with CI/CD systems ...

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Contract Aws Quantum Computing information

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How much do contract aws quantum computing jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for contract aws quantum computing in the United States is $48.93, according to ZipRecruiter salary data. Most workers in this role earn between $41.11 and $50.72 per hour, depending on experience, location, and employer.

What is the difference between Contract Aws Quantum Computing vs Contract Aws Data Scientist?

AspectContract Aws Quantum ComputingContract Aws Data Scientist
Required CredentialsQuantum computing certifications, AWS cloud certifications, programming skills in Python and QiskitData science certifications, AWS certifications, proficiency in Python, R, and data analysis tools
Work EnvironmentResearch labs, cloud environments, specialized quantum hardwareData centers, cloud platforms, analytics teams
Employer & Industry UsageTech companies, research institutions, AWS projectsFinance, healthcare, e-commerce, AWS analytics projects

Contract Aws Quantum Computing roles focus on developing and implementing quantum algorithms using AWS services, requiring specialized knowledge in quantum mechanics and programming. In contrast, Contract Aws Data Scientist positions involve analyzing large datasets, building predictive models, and deriving insights, often with a broader range of data analysis skills. Both roles are integral to AWS cloud projects but serve different technical and industry needs.

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Infographic showing various Contract Aws Quantum Computing job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 1% Part Time, and 7% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $101,781 per year, or $48.9 per hour.

Quantum Software Engineer (non-US)

Zapata Quantum

Zapata, TX • On-site

Contractor

Re-posted 5 hours ago


Job description

About the role
We are seeking a Quantum Software Engineer to build AI-powered tools that massively accelerate how quantum applications are designed and resource-estimated. You will fuse modern AI-LLMs, coding agents, and ML-based heuristics-with quantum circuit construction, compilation, and analysis, compressing workflows that currently take weeks of expert effort into hours. Your tooling will directly shape Zapata's ability to evaluate and deliver quantum solutions across cryptography, pharmaceuticals, finance, materials discovery, and defense.
This position offers a high level of individual ownership and is well-suited to engineers who are excited to push the frontier of AI-assisted scientific software within a small, focused team. You will partner closely with algorithm scientists and customers to understand their design and resource-estimation workflows, then build tools that turn those workflows into automated, scalable pipelines. This position is classified as exempt under applicable wage and hour laws.
What you'll do
  • Design and build AI-powered tools that accelerate quantum application design-from problem intake through algorithm selection, circuit construction, and validation
  • Develop automated resource estimation pipelines that use LLMs and ML models to rapidly predict qubit counts, gate counts, and runtime for candidate quantum solutions
  • Build agentic workflows that orchestrate quantum SDKs, compilation passes, simulators, and analysis tools
  • Integrate state-of-the-art AI coding assistants and LLM APIs directly into internal scientific tooling to compress expert-led workflows into automated pipelines
  • Benchmark and continuously improve the accuracy, speed, and reliability of AI-driven tooling against expert-curated baselines
  • Collaborate closely with quantum algorithm scientists to capture their reasoning and encode it into reusable AI-driven tools
  • Deliver high-quality software with minimal supervision, demonstrating autonomy in execution and technical decision-making

Qualifications
  • Strong software engineering fundamentals, including testing, code review, and CI/CD practices
  • BS or MS in Computer Science, Physics, Engineering, or a related field, or equivalent professional experience
  • Demonstrated experience shipping software that leverages LLMs, AI agents, or other machine learning components
  • Proficient programming skills in Python, with working knowledge of modern LLM APIs (Anthropic, OpenAI, or equivalent) and tool-use / function-calling patterns
  • Deep familiarity with AI-assisted development workflows (Claude Code, Cursor, or similar) and a drive to use them to massively accelerate your own output and that of the team
  • Familiarity with quantum computing concepts and a willingness to learn quantum algorithms and resource estimation in depth
  • Ability to work independently and manage deliverables with minimal oversight
  • Strong judgment about when to apply AI and when not to
  • A commitment to measuring tool quality against expert baselines

Desired Programming Skills
  • Python - for tooling, scientific code, and LLM-powered applications
  • LLM APIs and tool-use / function-calling patterns (Anthropic, OpenAI, or similar)
  • Agent frameworks and orchestration (LangGraph, pydantic-ai, or custom harnesses)
  • Quantum SDKs (Qiskit, Cirq, PennyLane, or similar) for scripting design and estimation workflows
  • AI-assisted development (e.g., Claude Code)
  • Git and modern CI/CD tooling
  • Evals and benchmark design for AI systems
  • Software testing frameworks (pytest, hypothesis)
  • NumPy, SciPy, and the scientific Python stack
  • Retrieval-augmented generation and vector databases
  • Containerization (Docker) and cloud infrastructure (AWS, Azure, or GCP)
  • Prompt Engineering

Preferred Experience
  • Demonstrated experience shipping software that leverages LLMs, AI agents, or other machine learning components
  • Experience building developer tools, scientific workflows, or research automation that leverages AI to speed up expert work
  • Strong communication skills and comfort collaborating across research and engineering teams

About Zapata Quantum
Zapata Quantum is shaping the future of quantum computing: setting the standards for what's viable, valuable, and worth building. The Company powers quantum applications across cryptography, pharmaceuticals, finance, materials discovery, defense, and beyond, translating cutting-edge research into real-world impact.
Zapata is the only organization to have contributed across every technical area of DARPA's Quantum Benchmarking program, giving it a uniquely comprehensive view of what it takes to make quantum computing work in practice. Now restructured and sharply focused, Zapata Quantum stands alone as the only publicly traded, pure-play quantum software company fully dedicated to unlocking quantum's commercial potential.
We're rebuilding at a pivotal moment for the industry-bringing together a team that will help define how quantum delivers value in the real world, with the opportunity for meaningful ownership as we shape the commercial path forward.