Platform Software Engineer

Tutorintelligence

Watertown (MA)

On-site

USD 90,000 - 130,000

Full time

14 days+

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Job summary

Tutorintelligence in Watertown, Massachusetts is seeking a Platform Engineer who will play a pivotal role in building systems that impact the physical world. This position involves architecting core software and collaborating with teams to solve complex problems.

The ideal candidate should have strong programming skills in Python and experience with web applications using React. A passion for robotics and AI is essential, as every line of code affects real-world outcomes and advancements in technology.

Qualifications

  • Strong programming skills in Python.
  • Experience building web applications with React.
  • Interest in robotics, AI, or solving hard problems.

Responsibilities

  • Architecting and engineering core software.
  • Involvement in new project planning.
  • Collaborate with teams to solve challenging problems.

Skills

Python programming
Software engineering tooling
Collaborative nature
Web applications with React
Interest in robotics and AI

Tools

Git
Unix shell

Job description

The Company:

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.

Job Summary:

Are you tired of writing incremental code for massive CRUD web-apps? Do you want to build systems from the ground up that effect change in the physical world, not just the digital one? At Tutor, we are motivated by atoms not electrons: every line of code you write has a real world impact at the foundation of our global economy, solving the core technical problems to evolve humanity and society to the next level.

Tutor Intelligence builds software to enable ordinary robots to achieve extraordinary things. As a platform engineer, your work lies at the center of this challenge, orchestrating real time robot code, machine learning systems, data labeling frontends, and optimizing compilers across a myriad of platforms.

  • Architecting and engineering core software across one or more of: robot software, backend services, ML services, cloud infrastructure / dev-ops
  • Involvement in new project planning
  • Strong programming skills in Python
  • Software engineering tooling: git, unix shell, etc
  • Collaborative nature and social skill set
  • Interest in robotics, AI, solving hard problems, or improving the future of humanity
  • Passion for building things (and just getting stuff done)
  • Experience building web applications with React
  • Background or interest in ML or robotics
  • Experience leading teams and projects

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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