Applied Scientist, Systems Modeling, AWS Center for Quantum Computing

Description

The Amazon Web Services (AWS) Center for Quantum Computing (CQC) is developing fault-tolerant quantum computing hardware to bring quantum computing services to AWS’ customers. We are seeking to hire an Applied Scientist to develop quantum computing system modeling and optimization capabilities, covering aspects of system specification and architectural, functional, and physical design. You will integrate prototype models developed by domain experts across the quantum computing stack into a common library for system modeling. You will assist in maintaining and updating these models as our understanding improves through experimental feedback and theoretical investigation. You will develop surrogate models and proxy metrics as needed to enable making speed/quality tradeoffs in the system modeling process. If successful, your work will be able to inform future architecture decisions, facilitate trade studies, identify scaling bottlenecks, and influence leaders where to make technical investments. A successful candidate will have experience with research software development and techniques such as differentiable programming, probabilistic programming, multi-objective optimization, multi-disciplinary design optimization, and surrogate modeling.

Key job responsibilities

• leverage software libraries for machine learning, optimization, and workflow orchestration to build system modeling capabilities
• integrate modeling and simulation capabilities developed by yourself and others into a common library you maintain
• seek to understand and improve our system modeling abstractions
• develop surrogate models and proxy metrics using detailed models developed by domain experts, to enable speed/quality tradeoffs in system modeling
• explore, benchmark, and integrate new modeling frameworks and techniques as appropriate
• work with software development teams when infrastructure improvements are required, and to develop dashboards exposing modeling tradeoffs
  
  

Basic Qualifications

• PhD, or Master's degree and 5+ years of experience in Computer Science, Computer Engineering, Physics, Electrical Engineering, or related field
• Proficiency programming in Python, Julia, or related languages
• Proven track record of publications, talks, patents, open source contributions, etc.
  
  

Preferred Qualifications

• Familiarity with quantum computing applications, quantum error correction, and quantum device physics
• Familiarity with system modeling and design optimization as applied to classical computer architecture and VLSI physical design
• Experience using machine learning and optimization frameworks such as JAX, PyTorch, BoTorch, PyMC
• Experience creating and integrating differentiable surrogate models into a common simulation library
• Experience with multi-objective optimization and multi-disciplinary design optimization
• Experience with parallel/distributed computing or high-performance computing
  
  

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.


Company - Amazon Development Center U.S., Inc.

Job ID: A3009838