Senior Research Engineer, Infrastructure
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Key details
- Salary
- $180K–$315K/yr
- Location
- Watertown, MA, United States
- Work style
- Onsite
- Level
- Senior
- Job type
- Full-time
- Function
- Software engineering
- Focus area
- Infrastructure / Cloud
- Posted
- 4w ago
Skills
c++concurrencydata integritydata pipelinesedge computinginfrastructure as codelinuxmodel fine-tuningobservabilitypythonreinforcement learningroboticsrust
About the role
About Tutor
We believe robots are the biggest lever we have to making the physical world a better, more affordable place. But robots are a rounding error in our society: nearly nine out of ten American factories and warehouses don’t even have a single robot, and robots have yet to make their way into our homes or places of business.
Tutor Intelligence is changing that.
Tutor is a robotics research and deployment company, building generally capable robot hardware and artificial intelligence to enable robots to go where no robots have gone before. Sonny is a semi-humanoid robot with frontier dexterity approaching the human form. Cassie does back-breaking work, moving boxes, pallets, and bulk goods for businesses from family-owned manufacturers to some of the largest brands in the world. Tutor robots are manufactured at scale and operate as a network, combining the whole fleet’s learned experience to train ever more capable robot artificial intelligence.
Founded at MIT and headquartered in Watertown, MA, our team is full stack: we design and manufacture robot hardware, train our own models, work directly with the smallest and largest end-customers, and maintain our fleet across the United States. We’re a team of researchers, engineers, technicians, operators, and sellers who love building things and solving hard problems.
Our mission is grand: robots everywhere, for the common good, raising the standard of living across North America, and then the world.
The Role
Tutor's research team pushes the frontier of robot capability across the full stack. Researchers have access to 100+ robots for data collection and evaluation, a massive network of teleoperators, scaled hardware and manufacturing infrastructure, and the ability to collect real world data at enormous scale. Our work covers the complete lifecycle of real-world data generation and model training from initial behavior cloning to post-training with supervised fine-tuning and reinforcement learning. And researchers and research engineers work closely with applied engineers to develop novel techniques into robot products that can be deployed at scale.
You'll own the software that makes robot data collection and experimentation dependable, starting with the DF1 data-collection operation: connecting robots, operators, data storage, and research workflows so the team can run experiments repeatedly and trust the resulting data.
What you'll work on
- Own a major system supporting robot data collection and experimentation, and keep it reliable.
- Build robot-side and backend services, data pipelines, and tools that reduce operator effort and raise experiment throughput.
- Make system health, data completeness, sensor timing, and experiment progress observable, and turn failures into actionable diagnostics.
- Make deployment, configuration, testing, recovery, and rollback repeatable.
- Diagnose incidents across device interfaces, Linux, networking, concurrency, and storage.
Requirements
- You have owned a substantial software system through design, deployment, operation, and difficult debugging.
- Strong Python, including tests, concurrency, and service interfaces.
- Practical Linux and networking, and experience running services in production.
- An understanding of distributed-system failure modes, data integrity, and recovery from partial failures.
- Experience building observability and using it to improve reliability.
Nice to haves
- Robotics, device fleets, teleoperation, edge computing, or synchronized sensor pipelines.
- C++ or Rust, containers, cloud infrastructure, infrastructure as code, or ML deployment.
- Operator tools and experiment platforms.
Why Tutor?
Whether you’re designing robots, closing deals, running deployments, or creating the processes that help us scale, your work doesn’t sit on a shelf. It shows up on real production floors, making physical work safer and more affordable.
Our team of 160+ is driven by curiosity and a genuine love of building. Everyone here takes real ownership, learns fast, and holds a high bar while having each other’s backs. If you love hard problems and creating things that didn’t exist before, you’ll fit right in.
Benefits
We take care of our team so they can do their best work. At Tutor, you’ll get:
- Fully employer-covered health insurance, so you’re protected without the premium.
- A managed 401(k) to help you plan for the future.
- Generous time off: unlimited PTO and all federal holidays off for full-time salaried employees, and 16+ days of accrued paid time off plus 1.5x pay on federal holidays for hourly employees.
- Regular in-office meals and team social events throughout the year.
As Tutor grows, so will our benefits. We’re continuing to invest in ways to support our team at work and beyond.
Tutor Intelligence is an equal opportunity employer and welcomes applicants from all backgrounds.