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HomeCompaniesMenloForward Deployed Research Engineer

Forward Deployed Research Engineer

Menlo · Singapore, Singapore, 180000, Singapore · Deleted · BambooHR

Job facts

FieldValue
CompanyMenlo
TitleForward Deployed Research Engineer
Normalized title-
Department / teamMenlo HQ
LocationSingapore, Singapore
Work model-
Employment typeFull Time
Salary-
Statusdeleted
ATS providerBambooHR
Posted / first seen2026-04-16 / 2026-05-30
Changed / last seen2026-06-18 / 2026-06-16

Related slices

PageWhat it containsOpen
Company jobsActive postings from Menlo.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Singapore.Open
Department jobsActive postings in Menlo HQ.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

CompanyMenlo
Source0de7fe14-773e-46a7-bf7b-e1b137c04318
ATS providerBambooHR

Description

About Menlo Menlo Research is an Applied R&D lab building Asimov, an open-source humanoid robot platform, and the full software stack that powers it. Our mission is to make humanoid labor economically viable -- turning software into physical labor at scale. We build across the full stack: hardware architecture, locomotion, autonomy, simulation, and infrastructure. We move fast, ship to real robots, and open-source everything we can. If you want your work to matter beyond a paper or a demo, this is the place. The Role The hard problem in robotics is not building a compelling prototype. It is making robotic systems deployable, repeatable, and economically useful in the real world. The Forward Deployed Research Engineer is a new kind of role at Menlo. It combines the strengths of a Forward Deployed Engineer and a Research Engineer. You will work directly on real customer problems, but you will not stop at integration or customization. You will use deployment pressure to uncover missing capabilities, design evaluations, collect data, adapt models, and turn one-off field learnings into reusable product and research improvements. This is not a support role. It is not solutions engineering. It is a deployment-native R&D role for people who want to stay close to reality and build the abstractions that make the next deployment easier. What You'll Do Own real customer and deployment problems end to end, from understanding the workflow to diagnosing failures in the field Work directly with robotic systems in commercial and industrial environments where variability, ambiguity, and operational constraints are the norm Translate deployment friction into research and product questions: what capability is missing, what data is needed, what evaluation should exist, what part of the stack must improve Build and adapt systems across the deployment loop, including data collection, task-specific fine-tuning, and evaluation design Collaborate closely with core research and platform teams so field learnings become reusable capabilities instead of one-off fixes Contribute domain expertise to a broader forward deployment practice where knowledge is shared across deployments and specializations Help define the operating model for how humanoid systems are deployed, improved, and scaled What We're Looking For Deep expertise in at least one relevant technical domain: perception, navigation, manipulation, or teleoperation Experience deploying AI, robotics, or embodied systems in real environments rather than only in lab settings Comfortable working outside your specialization when the deployment demands it Experience collecting, cleaning, or curating deployment data for model improvement Experience designing evaluations or benchmarks for systems that interact with real-world environments Able to explain complex technical concepts clearly to both technical and non-technical audiences Energized by ambiguity, motivated by ownership, and wants to see work survive contact with the real world Bonus Points Comfort moving between software, research, operations, and user conversations as needed Evidence of building trust with users while maintaining a strong technical point of view Prior experience in a forward deployed or customer-facing technical role at a fast-moving company Why Join Menlo? You will sit at the point where all of Menlo's core systems come together: the agent platform, simulation infrastructure, motor control and policy training, the Asimov reference platform, and the data engine. If you join as an FDRE, you will not just fill a role. You will help define a category. If you want to do serious technical work, stay close to real deployments, and invent the operating model for deployable robotic systems, we would love to talk.

Full job record

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Org ID6016aaf4-50e1-4e4b-831c-a615ce20aa74
Source ID0de7fe14-773e-46a7-bf7b-e1b137c04318
Board ID0de7fe14-773e-46a7-bf7b-e1b137c04318
Providerbamboohr
Provider Job Key134
TitleForward Deployed Research Engineer
Normalized Title
Statusdeleted
Activeno
Location TextSingapore, Singapore, 180000, Singapore
DepartmentMenlo HQ
Team
Employment Typefull_time
Workplace Type
Remote Policy
Country
RegionSingapore
CitySingapore
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://menlo.bamboohr.com/careers/134
Apply URLhttps://menlo.bamboohr.com/careers/134
First Seen At2026-05-30 05:40:37Z
Last Seen At2026-06-16 10:29:31Z
Last Checked At2026-06-18 10:32:33Z
Last Changed At2026-06-18 10:32:33Z
Inactive At2026-06-18 10:32:33Z
Source Posted At2026-04-16 00:00:00Z
Source Updated At
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    "description": "<p><span style=\"font-family: arial, helvetica, sans-serif; font-weight: bold\">About Menlo</span><br>Menlo Research is an Applied R&amp;D lab building Asimov, an open-source humanoid robot platform, and the full software stack that powers it. Our mission is to make humanoid labor economically viable -- turning software into physical labor at scale. We build across the full stack: hardware architecture, locomotion, autonomy, simulation, and infrastructure. We move fast, ship to real robots, and open-source everything we can. If you want your work to matter beyond a paper or a demo, this is the place.<br></p>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-weight: bold\">The Role</span><br><span style=\"font-family: arial, helvetica, sans-serif\">The hard problem in robotics is not building a compelling prototype. It is making robotic systems deployable, repeatable, and economically useful in the real world. </span><span style=\"font-family: arial, helvetica, sans-serif\">The Forward Deployed Research Engineer is a new kind of role at Menlo. It combines the strengths of a Forward Deployed Engineer and a Research Engineer. You will work directly on real customer problems, but you will not stop at integration or customization. You will use deployment pressure to uncover missing capabilities, design evaluations, collect data, adapt models, and turn one-off field learnings into reusable product and research improvements.</span><br><span style=\"font-family: arial, helvetica, sans-serif\">This is not a support role. It is not solutions engineering. It is a deployment-native R&amp;D role for people who want to stay close to reality and build the abstractions that make the next deployment easier.</span><br><br></p>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-weight: bold\">What You'll Do</span><br></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif\">Own real customer and deployment problems end to end, from understanding the workflow to diagnosing failures in the field</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif\">Work directly with robotic systems in commercial and industrial environments where variability, ambiguity, and operational constraints are the norm</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif\">Translate deployment friction into research and product questions: what capability is missing, what data is needed, what evaluation should exist, what part of the stack must improve</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif\">Build and adapt systems across the deployment loop, including data collection, task-specific fine-tuning, and evaluation design</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif\">Collaborate closely with core research and platform teams so field learnings become reusable capabilities instead of one-off fixes</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif\">Contribute domain expertise to a broader forward deployment practice where knowledge is shared across deployments and specializations</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif\">Help define the operating model for how humanoid systems are deployed, improved, and scaled</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-weight: bold\">What We're Looking For</span><br></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif\">Deep expertise in at least one relevant technical domain: perception, navigation, manipulation, or teleoperation</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif\">Experience deploying AI, robotics, or embodied systems in real environments rather than only in lab settings</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif\">Comfortable working outside your specialization when the deployment demands it</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif\">Experience collecting, cleaning, or curating deployment data for model improvement</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif\">Experience designing evaluations or benchmarks for systems that interact with real-world environments</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif\">Able to explain complex technical concepts clearly to both technical and non-technical audiences</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif\">Energized by ambiguity, motivated by ownership, and wants to see work survive contact with the real world</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-weight: bold\">Bonus Points</span><br></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif\">Comfort moving between software, research, operations, and user conversations as needed</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif\">Evidence of building trust with users while maintaining a strong technical point of view</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif\">Prior experience in a forward deployed or customer-facing technical role at a fast-moving company</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-weight: bold\">Why Join Menlo?</span><br><span style=\"font-family: arial, helvetica, sans-serif\">You will sit at the point where all of Menlo's core systems come together: the agent platform, simulation infrastructure, motor control and policy training, the Asimov reference platform, and the data engine. If you join as an FDRE, you will not just fill a role. You will help define a category. If you want to do serious technical work, stay close to real deployments, and invent the operating model for deployable robotic systems, we would love to talk.</span><br></p>",
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