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Software Engineer, Early Stage Supply Chain Project

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: X, The Moonshot Factory
Full Time position
Listed on 2026-06-03
Job specializations:
  • Software Development
    Full Stack Developer, Software Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Staff Software Engineer, Early Stage Supply Chain Project

About The Company

X is Alphabet’s moonshot factory. We are a diverse group of inventors and entrepreneurs who build and launch technologies that aim to improve the lives of millions, even billions, of people. Our goal: 10x impact on the world’s most intractable problems, not just 10% improvement. We approach projects that have the aspiration and riskiness of research with the speed and ambition of a startup.

About

The Team

We’re X’s moonshot for the global supply chain, applying AI to reduce waste, fragility, and inefficiency. We’re an agile team of experienced AI researchers, software engineers, and entrepreneurs working with visionary partners and customers around the world to make sure everyone has sustainable and reliable access to the food, medicine, clothing, and other goods and services they need.

We’re looking for people who are passionate about revolutionizing the global supply chain to join us at this critical growth stage. You’ll be part of a fast‑paced team that has the agility and impact of an early stage company, while building on world‑class Google AI technology.

About

The Role

You’ll play a pivotal full‑stack software engineering role, designing, building, and deploying cutting‑edge AI systems. This role requires a deep passion for problem‑solving and experimentation, moving across the full range of applied software engineering from initial prototyping to building full‑scale, robust solutions. While you will primarily focus on core product development, you will also serve as a critical bridge between cutting‑edge AI research and real‑world enterprise applications.

How

You Will Have 10X Impact
  • Develop and deliver high‑quality, production‑grade AI enterprise software across the entire stack during the development lifecycle, from ideation and architectural design to development, testing, deployment, and ongoing maintenance in complex enterprise environments
  • Help drive and execute key decisions on software architecture and features
  • Develop experiences that inspire confidence, delight and resonate with end users, and encourage adoption and trust
  • Proactively identify opportunities for maximizing software business impact through leveraging advanced AI capabilities
  • Drive end‑to‑end technical initiatives, from initial application ideation and prototyping to full‑scale development, delivery, and scaling within customer environments.
  • Approach your work with an ownership mindset, taking initiative and seeing problems through to resolution
  • Actively mentor teammates, sharing knowledge and helping others grow in their technical craft.
What You Should Have
  • BS or equivalent practical experience in computer science, applied math, or a related field
  • 6+ years of professional experience designing, developing, maintaining, and releasing production‑grade enterprise/business software
  • Exceptional breadth and depth in full‑stack software engineering, including user interface development and working with RDBMS and No

    SQL databases
  • Strong proficiency in Python development, with extensive experience in the latest Python tool chains and frameworks, including developing for various platforms (e.g., full‑stack web applications, backend services, data pipelines) and LLM Python toolset (PyTorch, Lang Chain)
  • Experience with collaborative software development workflows and platforms including Git Hub, agile development/scrum, unit testing, CI/CD, and production operations
  • Experience using LLMs to optimize software development processes and workflows
  • Experience integrating AI into enterprise software environments including LLMs, RAG, and Foundation Models, with an understanding of agentic behaviors, tool use, and reasoning capabilities
  • Experience with deploying and managing applications on major cloud platforms (e.g., Google Cloud Platform, AWS, Azure) and an understanding of underlying infrastructure primitives (e.g., Kubernetes, Terraform, Helm charts)
  • Excellent written and verbal communication skills, adept at explaining complex technical concepts to both technical and non‑technical audiences in a clear and concise manner
  • Exceptional organization and planning skills
  • Ability to think both strategically and tactically about driving…
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