Job Description
Job Title: Quantum Applied Scientist, Simulation Methods and Tools. Location: Pasadena, California, USA
You will collaborate with a multidisciplinary team of scientists, engineers, and technicians at the forefront of quantum research, helping improve device modeling, simulation accuracy, and performance.
Responsibilities:
- Develop and implement software tools and numerical methods for simulating quantum devices at the circuit-QED level.
- Compute and analyze device parameters such as frequencies, coupling strengths, and gate error budgets.
- Collaborate with theorists, designers, and experimentalists to solve high-impact modeling and simulation problems.
- Conduct research on simulation-based solutions for quantum processor design and characterization;
- Communicate research findings, methodologies, and results to teams with varied technical backgrounds.
- Write and maintain scientific software packages and contribute to workflow improvement;
- Stay current with the latest developments in quantum simulation algorithms, modeling methods, and numerical techniques.
- Participate in discussions and seminars with Caltech scientists and AWS researchers.
Qualifications:
- PhD or Master’s degree with 5+ years of experience in science, technology, or engineering.
- Proven research record through patents or publications in peer-reviewed journals or conferences.
- Strong programming experience in Python, Java, or C++;
- Experience implementing algorithms using both toolkits and custom code.
- Expertise in at least one of the following areas:
- Circuit Quantum Electrodynamics (cQED) modeling.
- Simulation of quantum many-body systems.
- Applying machine learning tools to scientific or engineering problems.
Preferred:
- Experience in professional scientific software development.
- Applied knowledge of theoretical models in real-world systems.
- Proficiency in Python, Julia, C++, or Rust;
- Familiarity with simulation frameworks such as QuTiP, QuantumOptics.jl, scQubits, or SQcircuit.
- Experience using JAX or PyTorch for GPU acceleration and automatic differentiation.
- Understanding of topics such as superconducting circuit quantization, quantum dynamics simulation, or Hamiltonian inference.
- Exposure to surrogate modeling using Gaussian processes or neural networks.
Benefits and Work Culture:
- Competitive base pay ranging from $136,000 to $223,400 per year, depending on experience and location.
- Additional compensation through equity, sign-on bonuses, and a full range of medical, financial, and other benefits.
- Inclusive work culture that values diverse experiences and encourages applicants from nontraditional backgrounds.
- Mentorship and career development programs to help employees grow professionally.
- Work-life balance initiatives that promote flexibility and personal well-being;
- Support for employees with disabilities or accommodation needs during the application or onboarding process.
Eligibility and Export Control: Candidates must meet U.S. export control requirements, including citizenship, permanent residency, refugee, or asylum status, or eligibility to obtain a U.S. export license.
LOCATION
JOB TYPE
Full-timeCOMPENSATION
$136k - $223k
SKILLS
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