Tutor Intelligence Logo

Tutor Intelligence

Platform Software Engineer

Reposted 26 Days Ago
In-Office
Watertown, MA, USA
100K-300K Annually
Mid level
In-Office
Watertown, MA, USA
100K-300K Annually
Mid level
Design and engineer core software for robots, including backend services and machine learning systems, while collaborating on new projects.
The summary above was generated by AI
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.
 

Responsibilities

  • 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

Prerequisites

  • 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)

Nice to Haves

  • Experience building web applications with React
  • Background or interest in ML or robotics
  • Experience leading teams and projects

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.

HQ

Tutor Intelligence Boston, Massachusetts, USA Office

Boston, MA, United States

Tutor Intelligence Watertown, Massachusetts, USA Office

80 Coolidge Hill Rd, Watertown, Massachusetts , United States, 02472

Similar Jobs

3 Hours Ago
Easy Apply
Hybrid
Boston, MA, USA
Easy Apply
148K-222K Annually
Senior level
148K-222K Annually
Senior level
Consumer Web • eCommerce • Marketing Tech • Retail • Software • Analytics • Generative AI
Design, build, and maintain mission-critical data and analytics infrastructure on AWS. Develop high-quality code, create system infrastructure, operate distributed systems in production, and contribute to technical design. Review designs and code, establish engineering best practices, and mentor engineers across the organization. Work with large-scale data processing, storage, OLTP and OLAP databases, and real-time analytics systems.
Top Skills: AirflowApache IcebergAWSClickhouseDatahubDynamoDBFlinkKafkaKubernetesLinuxMySQLPythonSparkTerraform
17 Days Ago
Hybrid
Boston, MA, USA
150K-215K Annually
Senior level
150K-215K Annually
Senior level
Fitness • Hardware • Healthtech • Sports • Wearables
Build and scale WHOOP AI platform systems and member-facing experiences across the frontend and backend. Design scalable web applications, APIs, and intuitive interfaces; contribute to agent orchestration architecture; translate business requirements into reliable solutions; write tested code; and monitor, debug, and improve production performance and stability. Collaborate with product managers, designers, data scientists, and other cross-functional partners in a fast-paced environment.
Top Skills: Large Language ModelsNext.JsReactRest ApisTailwind Css
17 Days Ago
Hybrid
Boston, MA, USA
125K-175K Annually
Mid level
125K-175K Annually
Mid level
Fitness • Hardware • Healthtech • Sports • Wearables
Build and maintain backend infrastructure and member-facing generative AI features that deliver personalized health and performance insights. Collaborate with Product, Design, Analytics, and Data Science teams to define requirements and deliver scalable solutions. Develop reliable software using Java, Kafka, AWS, and PostgreSQL; design RESTful APIs and relational databases; optimize performance; and maintain observability and monitoring systems.
Top Skills: AWSJavaKafkaPostgresRestful ApisSqs

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account