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HomeCompaniesTutorintelligenceRobot Perception Engineer

Robot Perception Engineer

Tutorintelligence · Watertown, MA · On Site · Active · $125,000–$180,000 / year · Lever

Job facts

FieldValue
CompanyTutorintelligence
TitleRobot Perception Engineer
Normalized title-
Department / teamR&D - Software
LocationWatertown, MA, United States
Work modelOn Site
Employment typeFull Time
Salary$125,000–$180,000 / year
Statusactive
ATS providerLever
Posted / first seen2025-12-17 / 2026-05-29
Changed / last seen2026-06-02 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Tutorintelligence.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Watertown.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyTutorintelligence
Sourceb08a3296-84e6-42d5-bf3c-af781c34d22b
ATS providerLever

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.

Full job record

Job IDa5d78ba9bc27dc050175a4a7312976753a925a85
Org ID8501e96c-6707-4595-a28a-53bbd3c1f8b6
Source IDb08a3296-84e6-42d5-bf3c-af781c34d22b
Board IDb08a3296-84e6-42d5-bf3c-af781c34d22b
Providerlever
Provider Job Key43debdc2-5514-4aff-a762-dd84f6c52ae0
TitleRobot Perception Engineer
Normalized Title
Statusactive
Activeyes
Location TextWatertown, MA
Department
TeamR&D - Software
Employment TypeFull-time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionMA
CityWatertown
Salary RawUSD 125000-180000 per-year-salary
Salary Min125,000
Salary Max180,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://jobs.lever.co/tutorintelligence/43debdc2-5514-4aff-a762-dd84f6c52ae0
Apply URLhttps://jobs.lever.co/tutorintelligence/43debdc2-5514-4aff-a762-dd84f6c52ae0/apply
First Seen At2026-05-29 07:02:18Z
Last Seen At2026-06-06 07:56:59Z
Last Checked At2026-06-06 07:56:59Z
Last Changed At2026-06-02 10:45:38Z
Inactive At
Source Posted At2025-12-17 01:42:02Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=tutorintelligence/date=2026-06-06/2026-06-06T07-56-59-654Z-23e6ada0de7dcd2c8c3d8189c495231029adb86c963121b3a8265b127d340f77.json
Event Fields
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  "last_changed_at": "2026-06-02T10:45:38.487Z",
  "active_status": "active"
}
Parsed Structured
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  "salary_period": "year",
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Extensions
{}
Native Structured
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  "country": "US",
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  "categories": {
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    "commitment": "Full-time",
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}
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