qubitsok.com

Cut Noise. Work Quantum.

Back to Job Listings

Americas, United States, Menlo Park

Posted 121 days ago

Applied & Computational Scientists, Quantum

💖 SRI

USD 112K - 149K per year

+2 benefits
AI Summarised
Visit Website

Role Type

🧪 Scientist / Researcher

Role Focus

🛠️ Advance Science

Seniority

🌿 Experienced
🌸 PhD / Postdoc

Employer Type

💖 Non-profit

Visa / Relocation Details

Candidates must be a US Citizen or Permanent Resident.

This role seeks Applied and Computational Scientists to conduct research and development focusing on quantum algorithm design, reinforcement learning, and emerging AI models at SRI International. The scientist will develop novel algorithms for diverse applications, including optimization and biological systems, and work toward publishing research and commercializing relevant technologies. Key duties include initiating research ideas, leading experimental evaluations, collaborating with external partners, and writing proposals to secure project funding.

Key Responsibilities

Develop and lead the experimental evaluation of new research ideas, presenting findings to government and commercial clients.

Develop and implement novel algorithms and benchmark them against existing state-of-the-art approaches.

Document research findings thoroughly in technical reports and peer-reviewed research papers.

Write proposals and propose new ideas to secure funding opportunities.

Collaborate effectively with Principal Investigators and staff within academia, industry, and national labs.

Required Skills

Ph.D. in Applied Mathematics, Physics, Engineering, Computer Science, or a related computational field.

Demonstrated publication record.

Expertise in algorithm development related to quantum error correction, artificial intelligence, or scalable computational methods.

Experience implementing novel algorithms using programming languages like Python or C/C++.

Experience implementing novel algorithms using quantum computing libraries (e.g., Qiskit, PennyLane, Cirq).

Excellent written, oral, and interpersonal communication skills.

Nice-to-have Skills

Knowledge in reinforcement learning.

Knowledge in emerging AI models.

Technology Tags

Quantum ML

The role focuses on reinforcement learning, emerging AI models, and quantum algorithm design.

Optimisation

Developing new algorithms for a wide variety of exciting applications including optimization is a core responsibility.

Simulation algos

The team focuses on developing algorithms for applications like material failures and biological systems.

Fault-tolerant

The required expertise explicitly includes quantum error correction.

NISQ algos

Developing quantum algorithms tailored to specific hardware strongly implies focusing on contemporary NISQ devices.

Qiskit

Demonstrated experience using libraries associated with implementing quantum algorithms, such as Qiskit, is required.

HPC systems

Expertise is sought in scalable computational methods and their implementations.

Is this your company's listing?

Boost it to the top of search results and reach 497+ newsletter subscribers.

Promote This Job