Robotics Software Engineer

Tutorintelligence

Watertown (MA)

On-site

USD 90,000 - 120,000

Full time

14 days+

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Job summary

Tutorintelligence in Watertown, Massachusetts, is seeking a Robotics Software Engineer to build impactful systems that integrate robotics and software. You will orchestrate real-time robot code and develop optimization systems, contributing directly to the evolution of robotics applications.

The ideal candidate will possess strong programming skills, flexibility, and a collaborative spirit. You will be a Member of Technical Staff, contributing meaningfully to diverse projects and adapting to team needs as they evolve.

Qualifications

  • Exceptionally strong programming fundamentals.
  • Excited about the future of robotics and a reshaped economy.
  • Willing to engage directly in factory or warehouse settings.

Responsibilities

  • Orchestrate real-time robot code and optimization systems.
  • Work on machine learning systems and data labeling frontends.
  • Optimize compilers across various platforms.

Skills

Strong programming skills in any programming language
Proficiency in Python and/or Typescript + React
Experience with robot arms/manipulation
Experience with motion planning and robot optimization
Experience with perception or computer vision
Experience with infra and devtools (systemd, Docker, Kubernetes)
Natural collaboration skills
Flexibility and adaptability

Job description

The Role

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 robotics software engineer, your work lies at the center of this challenge, orchestrating real time robot code, optimization systems for motion planning, machine learning systems, data labeling frontends, and optimizing compilers across a myriad of platforms. Our engineers flex up and down the robotics stack from microcontroller firmware to cloud infrastructure, charging at technical problems from any and all angles.

At the core, we are looking for motivated and curious individuals who have exceptionally strong programming fundamentals. Experience in specific technical stacks or with robotics/ML are helpful but not requirements: whatever shape your skill set is, Tutor engineers shape their own roles to best tackle the frontier of robotics development.

  • Exceptionally strong programming skills and comfort in any programming language
  • Natural collaborator, excited to work closely around a whiteboard in a team setting
  • Excited by the future full of robots and a reshaped physical economy
  • Not afraid to step foot in a factory or a warehouse
  • Advanced proficiency with Python and/or Typescript + React
  • Experience with robot arms / manipulation
  • Experience with motion planning and robot optimization
  • Experience with perception or computer vision (deep or classical)
  • Experience with infra and devtools (systemd, Docker, Kubernetes)
  • Experience with hardware / software integration

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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