Robot Perception Engineer
Tutor Intelligence
Job Description
Job Description
The Company
We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will 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.
Perception Engineer
As a Perception Engineer at Tutor Intelligence, you’ll design, build, and deploy perception systems across RGB, depth, LiDAR, and other sensing modalities. You’ll work on core problems in SLAM, segmentation, tracking, and grasp planning , helping turn real-world sensor data into reliable, production-ready autonomy.
What You’ll Do
- Design and implement perception modules used in real-world robotic systems
- Own projects end-to-end, from early concept and prototyping through production deployment
- Work closely with Engineering, Operations, Product, and Leadership to define and ship solutions
- Improve system reliability, scalability, and observability in production environments
- Debug complex perception and systems-level issues across hardware and software
- Help shape technical direction, best practices, and team workflows as Tutor scales
Who You Are
- 3+ years of experience in perception, robotics, or a closely related engineering role
- Strong foundations in computer vision, robotics, or related fields
- Comfortable writing production-quality code (e.g. C++, Python) and working with real sensor data
- Experience operating in fast-moving, resource-constrained environments
- Clear communicator who collaborates well across technical and non-technical teams
- Strong sense of ownership and a bias toward shipping meaningful work
- Genuine interest in robotics, AI, and solving hard real-world problems
Nice to Haves
- Experience with SLAM, multi-sensor fusion, or manipulation / grasp planning
- Hands-on work with robots in production or fielded environments
- Prior startup experience, especially at early or growth-stage companies
- Exposure to 24/7 systems, operational tooling, or customer-facing deployments
- Interest in technical leadership, mentorship, or project ownership
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.
Tutor offers competitive benefits including fully employer-covered health insurance, a managed 401(k), and regular in-office meals. We host social events and maintain a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems. Tutor is an equal opportunity employer and welcomes applicants from all backgrounds.
$254k - $336k
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