Staff Software Engineer

@ Tutor Intelligence
Tutor Intelligencetutorintelligence.com

Staff Software Engineer

Posted 6 months ago

This job is still taking applications, but it's been up a while.

About the job

Tutor Intelligence develops technology to integrate robots into US factories, combining human and AI. The role focuses on designing scalable software systems for machine learning, robotics, and operations across various platforms.

Requirements

  • Strong programming ability
  • Experience building large software systems
  • Proven system ownership
  • Experience with backend and infrastructure
  • Clear communicator

Qualifications

  • Experience with Python, TypeScript, Go
  • Experience with ML platforms and pipelines
  • Experience with cloud infrastructure and CI/CD
  • Familiarity with robotics or hardware
  • Startup experience

Full job description

The Company

We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.

As an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.

Our Culture

We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.


The Role

We are looking for a Staff Software Engineer to lead the design and implementation of core software systems across our stack. This role is less about writing isolated features and more about owning architecture, setting technical direction, and building scalable, reliable platforms that support machine learning, robotics, and operations at scale.

You will work across backend services, data and ML infrastructure, internal tools, and customer-facing systems, while collaborating closely with robotics, hardware, and operations teams. Robotics is part of the domain, but this role is primarily about building high-leverage software systems that make the entire company faster and more effective.

Requirements

  • Strong programming ability and experience building large, production software systems.
  • Proven track record of owning and evolving complex systems over time.
  • Experience working across backend, infrastructure, and application layers.
  • Comfort operating in ambiguous problem spaces and making pragmatic architectural tradeoffs.
  • Clear communicator who can lead technical discussions and align teams.

Nice to haves (zero or more)

  • Experience with Python, TypeScript, Go, or similar languages.
  • Experience with ML platforms, data pipelines, or ML-adjacent infrastructure.
  • Experience with cloud infrastructure, containers, CI/CD, and developer tooling.
  • Familiarity with robotics or hardware-integrated systems (not required).
  • Startup experience or experience building systems from zero to production.

About Our Roles & Titles

At Tutor, we believe great engineers and researchers are defined by what they build and the impact they have — not where they sit in an org chart or what title they have. Therefore, everyone in our R&D org holds the title Member of Technical Staff (MoTS). Our job postings use standard titles so you can find us, but if you join Tutor, you'll be a MoTS — with a level that is determined through the interview process.

That also means we hire people, not slots. Work at Tutor evolves every quarter, and we set the expectation of flexibility from day one — it's common for people to start on one thing and shift to another based on where the team needs them most. A high technical bar across the board is what makes that flexibility possible: it's what allows people to contribute meaningfully whatever problem they take on.


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