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HomeCompaniesDexteritySenior Robotics Manipulation Engineer

Senior Robotics Manipulation Engineer

Dexterity · Redwood City · On Site · Active · $170,000–$225,000 / year · Lever

Job facts

FieldValue
CompanyDexterity
TitleSenior Robotics Manipulation Engineer
Normalized title-
Department / teamEngineering / Mechanical Engineering
LocationRedwood City, United States
Work modelOn Site
Employment typeFT
Salary$170,000–$225,000 / year
Statusactive
ATS providerLever
Posted / first seen2025-03-03 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Dexterity.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 Redwood City.Open
Department jobsActive postings in Engineering.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

CompanyDexterity
Source9aeaf3a4-82d4-48cc-8f1f-b6a6e72fcbb5
ATS providerLever

Description

About Dexterity: At Dexterity, we believe robots can positively transform the world. Our breakthrough technology frees people to do the creative, inspiring, problem-solving jobs that humans do best by enabling robots to handle repetitive and physically difficult work. We’re starting with warehouse automation, where the need for smarter, more resilient supply chains impacts millions of lives and businesses around the world. Dexterity's full-stack robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities. Our systems are software-driven, hardware-agnostic, and have already picked over 15 million goods in production. And did we mention we’re customer-obsessed?  Every decision, large and small, is driven by one question – how can we empower our customers with robots to do more than they thought was possible? Dexterity is one of the fastest growing companies in robotics, backed by world-class investors such as Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures.  We’re a diverse and multidisciplinary team with a culture built on passion, trust, and dedication.  Come join Dexterity and help make intelligent robots a reality! As a Senior Robotics Manipulation Engineer, you will be working on a myriad of challenges related to manipulation, control, simulation and learning. You will bring a data driven approach to learned robot controls. You will also stay abreast of the latest progress in reinforcement learning, motion planning and controls, and other related fields in order to further develop Dexterity’s technology foundations in physical AI. Dexterity’s robotic solutions integrate data from a multitude of sensors, including RGB cameras, depth sensors, force-torque sensors, encoders, system telemetry and human input. To better inform the planning and execution system, you may work on sensor fusion and state estimation techniques to leverage this multimodal sensory data. You will work closely with the data platform, simulation, and robot operations teams to collect training data to improve your models. In addition to core manipulation and controls, you will be responsible for building high quality, maintainable, and performant software. Ideally, you will possess strong software system and interface design skills. Equal Opportunity Employer - We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Day to Day Activities: Train models for robotic manipulation, force control, servoing etc. Convert heuristics based control to learned models. Develop the right state space representation for our Robotics Systems. Collaborate with roboticist, machine learning engineers, mechanical engineers, and product managers to find optimal system solutions. Implement, test, and maintain high quality software. Lead efforts to improve the rigor and performance of models within Dexterity. Required Skills: BS/MS/PhD in Computer Science or a related discipline. 5+ years of relevant Industry or Research experience. Strong Python programming skills. Knowledge of Modern C++ and Linux. Experience with multiple of the following: Artificial Intelligence (imitation learning, reinforcement learning, deep learning, LLMs) Distributed ML Training Platforms (Ray or other) Task and Motion Planning Simulation Nice to haves: Experience with Git and modern CI pipelines. Experience with Docker and Kubernetes Previous startup experience

Full job record

Job IDd16f9015dccdc738c77e322a3c7d8cf81d3540c8
Org IDae56242d-62f9-4f2c-bf5f-abccd1e12ac1
Source ID9aeaf3a4-82d4-48cc-8f1f-b6a6e72fcbb5
Board ID9aeaf3a4-82d4-48cc-8f1f-b6a6e72fcbb5
Providerlever
Provider Job Key6c8a6e37-c72a-4e93-92fe-04d3b6bcbc66
TitleSenior Robotics Manipulation Engineer
Normalized Title
Statusactive
Activeyes
Location TextRedwood City
DepartmentEngineering
TeamMechanical Engineering
Employment TypeFT
Workplace Typeon_site
Remote Policy
CountryUnited States
Region
CityRedwood City
Salary RawUSD 170000-225000 per-year-salary
Salary Min170,000
Salary Max225,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://jobs.lever.co/dexterity/6c8a6e37-c72a-4e93-92fe-04d3b6bcbc66
Apply URLhttps://jobs.lever.co/dexterity/6c8a6e37-c72a-4e93-92fe-04d3b6bcbc66/apply
First Seen At2026-05-29 06:58:01Z
Last Seen At2026-06-06 07:56:47Z
Last Checked At2026-06-06 07:56:47Z
Last Changed At2026-05-29 06:58:01Z
Inactive At
Source Posted At2025-03-03 17:35:07Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=dexterity/date=2026-06-06/2026-06-06T07-56-46-656Z-4007fbda95e1884206fade6c98bc8d76bd0e5e899153ec7ba9eda8fd84eeb2ec.json
Event Fields
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  "last_changed_at": "2026-05-29T06:58:01.404Z",
  "active_status": "active"
}
Parsed Structured
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  "salary_period": "year",
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Extensions
{}
Native Structured
{
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    {
      "text": "Day to Day Activities: ",
      "content": "<li>Train models for robotic manipulation, force control, servoing etc.</li><li>Convert heuristics based control to learned models.</li><li>Develop the right state space representation for our Robotics Systems.</li><li>Collaborate with roboticist, machine learning engineers, mechanical engineers, and product managers to find optimal system solutions.</li><li>Implement, test, and maintain high quality software.</li><li>Lead efforts to improve the rigor and performance of models within Dexterity.</li>"
    },
    {
      "text": "Required Skills:",
      "content": "<li>BS/MS/PhD in Computer Science or a related discipline.</li><li>5+ years of relevant Industry or Research experience.</li><li>Strong Python programming skills.</li><li>Knowledge of Modern C++ and Linux.</li><li>Experience with multiple of the following:</li><li>Artificial Intelligence (imitation learning, reinforcement learning, deep learning, LLMs)</li><li>Distributed ML Training Platforms (Ray or other)</li><li>Task and Motion Planning</li><li>Simulation</li>"
    },
    {
      "text": "Nice to haves:",
      "content": "<li>Experience with Git and modern CI pipelines.</li><li>Experience with Docker and Kubernetes</li><li>Previous startup experience</li>"
    }
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  "country": "US",
  "createdAt": 1741023307945,
  "updatedAt": null,
  "categories": {
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    "commitment": "FT",
    "department": "Engineering",
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    "currency": "USD",
    "interval": "per-year-salary"
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