bluedoor data·Job Postings API·bluedoor.sh ↗

HomeCompaniesFaraday FutureSenior Locomotion Control Engineer

Senior Locomotion Control Engineer

Faraday Future · El Segundo, California, United States · Hybrid · Active · $110,000–$135,000 / year · Greenhouse

Job facts

FieldValue
CompanyFaraday Future
TitleSenior Locomotion Control Engineer
Normalized title-
Department / teamFF AI Robotics Inc
LocationEl Segundo, CA, United States
Work modelHybrid / Hybrid
Employment type-
Salary$110,000–$135,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2026-05-29 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Faraday Future.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in El Segundo.Open
Department jobsActive postings in FF AI Robotics Inc.Open
Work model jobsActive Hybrid 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

CompanyFaraday Future
Source299b2d0b-0caa-4046-a777-aad382ab1747
ATS providerGreenhouse

Description

The Company: Faraday Future (FF) is a California-based embodied artificial intelligence ecosystem company, leveraging the latest technologies and world’s best talent to realize exciting new possibilities in mobility and robotics. We’re producing user-centric, technology-first vehicles and robots to establish new paradigms in human-AI interaction. We’re not just seeking to change how our cars and robots work – we’re seeking to change the way we drive and interact with machines. At FF, we’re creating something new, something connected, and something with a true global impact. Your Role: We are seeking a Senior Locomotion Control Engineer to lead the design, implementation, and real-world deployment of robot motion capabilities. This role is responsible for building robust locomotion systems that work reliably across simulation and hardware, and for driving the technical direction of gait, balance, terrain adaptation, and control integration. Responsibilities: Design, implement, and optimize robot locomotion systems, including gait generation, balance control, and terrain adaptation. Develop and improve locomotion controllers using MPC, whole-body control, reinforcement learning, or hybrid control approaches. Own the full loop from simulation to hardware deployment, including controller tuning, regression validation, and failure analysis. Improve robot stability, robustness, safety, and energy efficiency in real-world operating conditions. Work closely with runtime, simulation, behavior, and hardware teams to define clean interfaces and reliable integration paths. Support real-robot bring-up, debugging, performance analysis, and root-cause investigation for motion failures. Contribute to control architecture decisions, testing methodology, and technical roadmap planning for motion control capabilities. Basic Qualifications: Master’s degree or above in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field. 5+ years of experience developing robotics locomotion, motion control, or autonomous robotic systems. 3+ years of hands-on experience supporting quadruped, humanoid, or legged robot development and deployment. Strong foundation in robotics, including dynamics, kinematics, estimation, and control theory. Hands-on experience with at least one locomotion approach such as MPC, whole-body control, reinforcement learning locomotion, or heuristic gait control. Strong C++ skills for production robotics software development. Proficiency in Python for research workflows, simulation, tooling, and analysis. Experience deploying algorithms on real robots, ideally quadrupeds, humanoids, or mobile manipulation systems. Prior experience deploying locomotion or control algorithms on physical robots is required. Ability to diagnose real-system failures and translate observations into actionable control or systems improvements. Preferred Qualifications: Experience with RL locomotion, imitation learning, or policy-based control for physical robots. Experience with sim-to-real workflows, including actuator modeling, latency compensation, domain randomization, or system identification. Familiarity with MuJoCo, Isaac, RaiSim, Gazebo, or equivalent simulation platforms. Experience with real-time robotics systems, ROS 2, controller scheduling, and control-runtime integration. Background in contact-rich control, force control, or whole-body coordination. Track record of shipping motion capabilities from prototype to robust field performance. Annual Salary Range: ($110,000 - $135,000 DOE), plus benefits and incentive plans Perks + Benefits Healthcare + dental + vision benefits (Free for you/discounted for family) 401(k) options Casual dress code + relaxed work environment Culturally diverse, progressive atmosphere Faraday Future is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Full job record

Job ID401c4ead4d696db7e89b6d22a8de0bd2f2e267fa
Org ID1606d031-69cf-4373-9eae-b0cf4ed496cb
Source ID299b2d0b-0caa-4046-a777-aad382ab1747
Board ID299b2d0b-0caa-4046-a777-aad382ab1747
Providergreenhouse
Provider Job Key7752232003
TitleSenior Locomotion Control Engineer
Normalized Title
Statusactive
Activeyes
Location TextEl Segundo, California, United States
DepartmentFF AI Robotics Inc
Team
Employment Type
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionCA
CityEl Segundo
Salary RawSalary Range: ($110,000 - $135,000 DOE), plus benefits and incentive plans Perks + Benefits Healthcare + dental +
Salary Min110,000
Salary Max135,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://job-boards.greenhouse.io/faradayfuture/jobs/7752232003
Apply URLhttps://job-boards.greenhouse.io/faradayfuture/jobs/7752232003
First Seen At2026-05-29 22:57:13Z
Last Seen At2026-06-06 19:43:38Z
Last Checked At2026-06-06 19:43:38Z
Last Changed At2026-05-29 22:57:13Z
Inactive At
Source Posted At2026-05-29 02:36:07Z
Source Updated At2026-05-29 02:36:07Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=faradayfuture/date=2026-06-06/2026-06-06T19-43-38-244Z-9e5572f56be23abdf5271214122d47a484045c0d59b3f5b759f1bd46804a4da4.json
Event Fields
{
  "content_hash": "dff433c8932ed9550caac736535d846bba377d1db43694f5ee736405652d783c",
  "source_hash": "e7c27bd68100110b411c4e8652631741dd801fedee826c30015cfbf59a870c8a",
  "last_changed_at": "2026-05-29T22:57:13.759Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "El Segundo, California, United States",
    "city": "El Segundo",
    "region": "CA",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.95
  },
  "salary_max": 135000,
  "salary_min": 110000,
  "inferred_at": "2026-06-06T19:43:38.484Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "El Segundo, California, United States",
      "city": "El Segundo",
      "region": "CA",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.95
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "hybrid",
  "salary_period": "year",
  "workplace_type": "hybrid",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
{
  "title": "Senior Locomotion Control Engineer",
  "offices": [
    {
      "id": 4117761003,
      "name": "El Segundo, CA-HQ",
      "location": "El Segundo, California, United States",
      "child_ids": [],
      "parent_id": null
    }
  ],
  "language": "en",
  "location": {
    "name": "El Segundo, California, United States"
  },
  "metadata": [],
  "updated_at": "2026-05-28T22:36:07-04:00",
  "departments": [
    {
      "id": 4134316003,
      "name": "FF AI Robotics Inc",
      "child_ids": [],
      "parent_id": null
    }
  ],
  "company_name": "Faraday Future",
  "requisition_id": 5772336003,
  "first_published": "2026-05-28T22:36:07-04:00",
  "application_deadline": null
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/401c4ead4d696db7e89b6d22a8de0bd2f2e267fa?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/1606d031-69cf-4373-9eae-b0cf4ed496cbJSON
GET https://api.bluedoor.sh/job-postings/v1/sources/299b2d0b-0caa-4046-a777-aad382ab1747JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/401c4ead4d696db7e89b6d22a8de0bd2f2e267fa/eventsJSON