Research Staff Member-Quantum Experiments
Yorktown Heights (Westchester) Marketing
Job description
Quantum Experiments
IBM Research is seeking Research Staff Members with outstanding background in experimental quantum computing, quantum control, and microwave measurements. Candidates will focus on improving quantum gates in multi-qubit systems and are expected to work closely with theorists to model device physics and develop novel gate implementations in superconducting qubits. Rich collaboration with other members of the quantum computing team is expected.
QUANT18
Education requirements:
· PhD in in Physics, Mathematics, Computer Science, Electrical Engineering or a related discipline
Auto req ID
152885BR
Required Education
Doctorate Degree
Role ( Job Role )
Research Staff Member
State / Province
NEW YORK
Primary job category
Research
Company
(0147) International Business Machines Corporation
Contract type
Regular
Employment Type
Full-Time
Is this role a commissionable/sales incentive based position?
No
Travel Required
Up to 10% or 1 day a week
IBM Business Group
Research
Preferred Education
Doctorate Degree
City / Township / Village
YORKTOWN HEIGHTS
EO Statement
IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Required Technical and Professional Expertise
· 3 years research experience in experimental quantum computing or quantum control
· Demonstrated record of research accomplishments
Country/Region
United States
Preferred Technical and Professional Experience
· Programming experience in python
· Experience with microwave electronics
Secondary Job Category
Unassigned
Eligibility Requirements
· None
Position Type
Professional
Early Professional Track
PhD