Intology Logo

Intology

Software Engineer

Reposted One Month Ago
In-Office
San Francisco, CA, USA
Entry level
In-Office
San Francisco, CA, USA
Entry level
As a Software Engineer, you'll collaborate with the R&D team to design and implement scalable infrastructure for automated research systems, ensuring enterprise compliance and contributing to product design.
The summary above was generated by AI
Overview

Join our core team building & deploying end-to-end automated research systems.

📰 Zochi publishes the first fully-AI generated A* conference paper

📰 Locus becomes the first AI-system to outperform human experts at AI R&D

Key Responsibilities
  • Collaborate with core R&D team to design & implement scalable, secure infrastructure for automated research systems.

  • Spearhead compliant requirements for enterprise deployments.

  • Contribute to core product design and philosophy.

Qualifications
  • Bachelor's degree in Computer Science, Math, EE or a related field.

  • Demonstrable experience with Google Cloud Platform and Google Kubernetes Engine.

  • Clear experience working on & designing enterprise-compliant software.

  • Experience with Back-End/Front-end Development, logging, and analytics.

  • Interest & ability to work collaboratively with small, fast-moving teams.

  • Passion for accelerating the process of problem-solving & scientific discovery, with comfort in high-autonomy roles & environments.

Our Culture
  • Competitive salary & equity packages, even higher for senior roles.

  • Unlimited PTO with a focus on on-site team-building & communal work environment.

  • Conference attendance & involvement in community-facing events.

  • High-agency & responsibility.

#1: We are are small, dedicated group of top investors, researchers, and industry veterans, dedicated to the mission of accelerating discovery. Join us.
HQ

Intology Mountain View, California, USA Office

3444 Woodstock Ln, Mountain View, California, United States, 94040

Similar Jobs

5 Hours Ago
Hybrid
Sunnyvale, CA, USA
123K-189K Annually
Entry level
123K-189K Annually
Entry level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Develop behavior validation products for autonomous vehicle software, including scorecards, protocol analysis workflows, data pipelines, and dashboards. Build Python-based prototypes and production solutions, integrate analytical workflows with user-facing tools, and improve system scalability, reliability, performance, and maintainability. Collaborate with engineering, safety, product, and AI teams to translate stakeholder needs into technical designs, measurable outcomes, and launch-readiness insights.
Top Skills: APIsPython
6 Hours Ago
Hybrid
San Francisco, CA, USA
190K-220K Annually
Entry level
190K-220K Annually
Entry level
Artificial Intelligence • Software
Build and maintain knowledge and evaluation infrastructure for long-horizon AI agents. Develop production agents for complex customer use cases, analyze agent errors, and implement quality improvements. Build reliable backend systems supporting agent execution, evaluation, and monitoring, while partnering with senior engineers on platform reliability and quality. The role may also involve platform engineering, frontend work, and distributed systems.
Top Skills: AIBackend SystemsDistributed SystemsLlms
Yesterday
Hybrid
San Francisco, CA, USA
191K-334K Annually
Senior level
191K-334K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Design, build, and operate production-grade agentic AI systems at enterprise scale. Responsibilities include multi-agent orchestration, tool use, planning, memory, failure recovery, retrieval-grounded reasoning, model integration, safety guardrails, observability, governance, and evaluation. The role also provides technical leadership through architecture ownership, code reviews, mentoring, and establishing production AI engineering practices.
Top Skills: Anthropic Ai SdkC++CmdbGoGoogle Ai SdkHybrid SearchJavaKnowledge GraphMcpMlopsModel EvaluationOpenai SdkPythonRagRe-RankingVector StoresWorkflow Data Fabric

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account