QuEra Computing is the leading provider of quantum computers based on neutral-atoms. Our mission is to build the most scalable quantum computers. Backed by SoftBank VF.
About the role
You will develop a reusable autoresearch platform that generates hypotheses, implements and evaluates candidates, and uses accumulated evidence to guide further exploration. Initial applications include automated performance improvement across our software repositories, quantum-error-correction code discovery with QEC theorists, and architecture search with compiler researchers. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Strong software engineering skills and a record of independently delivering substantial research or developer tools, with proficiency in Rust or a comparable systems language and scientific programming in Python
- Deep practical experience in search and optimization, particularly combinatorial optimization, evolutionary algorithms, meta-heuristics, or automated algorithm design
- Hands-on experience building automated discovery or optimization systems that iteratively generate candidates, execute experiments, and learn from feedback
- Strong experimental judgment: choosing meaningful objectives, allocating evaluation budgets, diagnosing failures, and distinguishing genuine improvements from noise or evaluation artifacts
- Ability to work with researchers across disciplines and turn mathematical ideas into reliable computational tools
More about this role
QuEra Computing is hiring a Senior Scientific Software Engineer to build systems that automate theoretical and computational research in quantum computing.
You will develop a reusable autoresearch platform that generates hypotheses, implements and evaluates candidates, and uses accumulated evidence to guide further exploration. Initial applications include automated performance improvement across our software repositories, quantum-error-correction code discovery with QEC theorists, and architecture search with compiler researchers.
This is a hands-on engineering role with substantial technical ownership. You will combine classical search and optimization with AI agents, and develop methods that progressively improve the research process itself.
- Design and build the autoresearch platform, including programmable search strategies, agent and tool integration, and reliable execution of long-running experiments.
- Develop and evaluate search and optimization methods for generating, selecting, refining, and combining candidates under limited computational budgets.
- Collaborate with theorists and compiler researchers to translate research questions into search spaces, constraints,...
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