Full-Time
Software Engineer
Updated on 7/23/2026
Intology
1-10 employees
End-to-end automated AI research systems
No salary listed
San Francisco, CA, USA
In Person
On-site presence in San Francisco; on-site team-building events.
 Software Engineering (1) |
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- Bachelor's degree in Computer Science, Math, Electrical Engineering or a related field
- Demonstrable experience with Google Cloud Platform and Google Kubernetes Engine
- Clear experience working on and designing enterprise-compliant software
- Experience with Back-End/Front-End Development, logging, and analytics
- Interest and ability to work collaboratively with small, fast-moving teams
- Passion for accelerating the process of problem-solving and scientific discovery, with comfort in high-autonomy roles and environments
- Collaborate with core R&D team to design and implement scalable, secure infrastructure for automated research systems
- Spearhead compliant requirements for enterprise deployments
- Contribute to core product design and philosophy
Intology operates as a research lab that builds end-to-end automated research systems. Its “Artificial Scientists” perform the full workflow of AI research—from generating ideas and conducting experiments to analyzing results and publishing findings—without requiring constant human input. Their products are systems capable of carrying out AI research tasks autonomously, and they have publicly released discoveries at top-tier AI conferences, demonstrating the ability to beat human experts on AI research tasks. Compared with others, Intology emphasizes complete automation of the research cycle and autonomous scientific discovery, supported by systems that can outperform human researchers in AI-related tasks. The company’s goal is to advance AI science by providing scalable, autonomous research machinery that continually generates new findings and insights.
Company Size
1-10
Company Stage
Seed
Total Funding
$8M
Headquarters
San Francisco, California
Founded
2025
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Simplify's Take
What believers are saying
- Functional knitted fabric market reached $624M+ in 2024.
- Flat-knit technology reduces conventional processing from six stages to two.
- Multidisciplinary R&D enables partnerships with materials labs and design-partner customers.
What critics are saying
- Brand confusion across multiple Intology entities weakens trust and search visibility.
- Specialized textile claims face certification, testing, and performance validation risk.
- Small team status exposes execution to hiring delays, missed demos, and cash constraints.
What makes Intology unique
- Technical knitwear centers Intology on engineered yarn systems, not generic textiles.
- It spans protection, performance, cosmetotextiles, repellents, anti-odor, radiation shielding, and composites.
- Thirty-three years of manufacturing heritage supports innovation with scalable industrial execution.
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Benefits
Unlimited Paid Time Off
Conference Attendance Budget
Company Equity