Staff Software Architect for ML & Robotics Systems

Tutor; Watertown (MA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Fully employer-covered health保险

Managed 401(k)

Regular in-office meals

Job summary

Tutor is seeking a Staff Software Engineer (MoTS) to lead the design and implementation of core software systems across our stack. This role focuses on owning architecture, setting technical direction, and building scalable 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, collaborating with robotics, hardware, and operations teams to maximize company speed

Qualifications

• 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.

Responsibilities

• Lead the design and implementation of core software systems across our stack.
• Own architecture, set technical direction, and build scalable, reliable platforms.
• Collaborate across backend services, data and ML infrastructure, internal tools, and customer-facing systems.
• Work closely with robotics, hardware, and operations teams to accelerate company-wide impact.

Skills

Production systems

System ownership

Cross-functional collaboration

Communication leadership

Ambiguity navigation

Tools

Python

TypeScript

Go

Cloud infrastructure

Job description

Tutor is seeking a Staff Software Engineer (MoTS) to lead the design and implementation of core software systems across our stack. This role focuses on owning architecture, setting technical direction, and building scalable 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, collaborating with robotics, hardware, and operations teams to maximize company speed