Software Engineer
Altara· Engineering
San FranciscoFull-timePosted 5mo ago
About the role
We’re building the scientific intelligence platform for the physical world to accelerate breakthroughs in semiconductors, batteries, advanced materials, aerospace, and beyond. Altara aims to become the intelligence layer for scientists and engineers, combining AI with physical sciences to move faster from R&D to manufacturing.
Responsibilities
- Architect and build the early foundations of Altara’s core product and infrastructure.
- Ship end-to-end features across the stack, balancing speed, scope, and user experience.
- Develop data ingestion and representation systems that can automatically extract structure and insight from multimodal, messy real-world scientific data (e.g., R&D databases, spreadsheets, images, technical documents, etc).
- Build both LLM-based agentic systems and implementations beyond LLMs.
- Act as a technical leader across the organization, mentoring top talent and helping define Altara’s technical vision and engineering culture as we scale.
Qualifications
- Care about solving meaningful scientific challenges and disrupting the industry, not just building another SaaS tool.
- Have shipped 0-to-1 products at a startup, applied AI lab, or other high-growth environments before.
- Consider yourself a product-first engineer - you start from the user problem, not the technology, and make smart technical tradeoffs to deliver impact fast.
- Love to learn, bias toward action, and enjoy taking full ownership of problems end-to-end.
- Thrive in fast-paced, unstructured environments with evolving requirements.
- Already use AI tools daily and think critically about how to push their limits.
Skills
Required:Architectural designFull-stack developmentData ingestion and representationLLM-based systemsLeadership / mentoring
Last updated Sep 9, 2026. Interested? Apply on the company site.
About Altara
Scientific Intelligence for the Physical World
Altara is building the scientific intelligence platform that helps frontier industries accelerate R&D through manufacturing.
AIscienceengineeringsemiconductorsadvanced materialsbatteriesmedical devicesspecialty chemicals
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