ARGONNE

ARGONNE

Computer Scientist

Lemont, IL USA · Contract

Sponsorship not specified$116k-$181kDetected 1 day ago
PythonC++Distributed SystemsAlgorithmsResearchLeadershipCommunicationCollaborationMentoringPublic Speaking

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odds of building a lasting career here

33Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

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About the role

  • Argonne National Laboratory is seeking a scientist to help advance the emerging field of networked and distributed quantum computing.
  • This position offers the opportunity to shape new architectures, software systems, simulation capabilities, and experimental workflows for connecting quantum devices with classical computing and networking infrastructure.
  • The successful candidate will work in a collaborative, multidisciplinary environment that brings together expertise in quantum information science, computer systems, networking, high-performance computing, and scientific applications.

Responsibilities

  • Develop models, algorithms, simulation capabilities, and research software for the design and evaluation of networked quantum systems.
  • Build collaborations across disciplines and institutions and provide technical leadership within multidisciplinary research teams.

Requirements

  • D emonstrated ability to define and pursue significant research directions and conduct research with substantial independence.
  • Ability to work effectively in multidisciplinary research teams and communicate technical results clearly through publications, presentations, and interactions with research, sponsor, and broader stakeholder audiences.
  • Ability to model Argonne's core values of impact, safety, respect, integrity and teamwork.
  • Desired but Not Required Qualifications
  • Knowledge of quantum communication protocols, entanglement generation and distribution, quantum repeaters, quantum memories, or quantum error management.
  • Experience with system architecture, resource allocation, scheduling, control-plane design, or orchestration for distributed or quantum computing systems.
  • Experience integrating quantum-system models with classical networking, high-performance computing, or scientific workflow environments.
  • Experience collaborating with experimental quantum researchers or evaluating software and architectural concepts using experimental systems.
  • Experience leading technical tasks or coordinating research activities across multiple institutions or disciplinary teams.
  • Experience preparing research proposals or contributing to sponsored research programs.
  • Quantum networking, d istributed quantum computing, q uantum computer systems or architectures, q uantum-network simulation, c omputer networks or distributed systems, p erformance modeling of computing or communication systems.
  • Record of scientific or technical accomplishment demonstrated through peer-reviewed publications, significant research software, technical systems, datasets, patents, or comparable research artifacts.
  • Evidence of professional visibility or external recognition appropriate to career stage, such as invited presentations, widely used software, leadership in collaborative research, professional service, awards, or citations of published work.
  • Experience developing research software using Python, C, C++, or comparable programming languages.
  • Experience developing or using quantum-network or distributed-quantum-computing simulators.

Nice to have

  • RD3: Ph.D. in computer science, electrical or computer engineering, physics, applied mathematics, or a closely related field, plus at least 4 years of relevant research experience.

Compensation

  • Please note that the pay range information is a general guideline only.

Visa & Work Authorization

  • Formulate new research directions and contribute to research proposals, sponsor interactions, project planning, and execution of externally funded programs

This listing is sourced directly from ARGONNE's careers page and normalized into a canonical job model.