Normal Computing

HQ
San Francisco, California, USA
Total Offices: 4
51 Total Employees
Year Founded: 2022

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Jobs at Normal Computing

Search the 5 jobs at Normal Computing

4 Days Ago
New York, NY, USA
Hybrid
Artificial Intelligence • Machine Learning • Software • Semiconductor
The AI Engineer will contribute to transforming complex technical documents into code, working on AI projects from concept to production. Responsibilities include designing systems with large language models, developing multi-modal data solutions, and creating AI evaluation frameworks, while keeping up with AI advancements.
Artificial Intelligence • Machine Learning • Software • Semiconductor
As a Senior Software Engineer at Normal, you will design and build backend components for an enterprise SaaS product. Your role involves collaborating with the team on technical design, and you'll utilize skills in Python and PostgreSQL, focusing on foundational product tech stack development from scratch while working closely with machine learning engineering teams.
Artificial Intelligence • Machine Learning • Software • Semiconductor
As a Machine Learning Engineer at Normal, you will build AI systems for hardware engineering, focusing on creating models with complex logical constraints and deploying them effectively. You'll work closely with cross-functional teams, handle large datasets, and ensure solutions meet high quality and robustness standards.
5 Days Ago
San Francisco, CA, USA
Hybrid
Artificial Intelligence • Machine Learning • Software • Semiconductor
As a Machine Learning Engineer at Normal, you will develop and deploy machine learning models, especially large language models, using deep learning frameworks. You will preprocess large datasets and engage in problem-solving while collaborating closely with a dynamic team.
5 Days Ago
San Francisco, CA, USA
Hybrid
Artificial Intelligence • Machine Learning • Software • Semiconductor
The Go-to-Market Lead at Normal Computing will develop and execute GTM strategies, manage partnerships, coordinate with cross-functional teams, and ensure customer needs are addressed to drive enterprise partnerships in the AI and advanced manufacturing sectors.