Fleet Orchestration Engineer
Posted 10 Jun 2026
Advertised as “Fleet Orchestration Engineer - Neuraverse (human)”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Full-time
No salary listed for this role.
Your Mission & Challenges
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Multi-robot task allocation algorithms: auction-based (CBBA, market-based), MILP solvers for offline planning, Hungarian for simple bipartite matching, robot-capability matching, deadline-aware scheduling, priority queuing
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Mission decomposition: facility-level goal ("deliver 50 trays from kitchen to floor 3 by 18:00") → per-robot behaviour-tree skill bundles + cross-robot dependency graph + handoff point definitions
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Fleet traffic management beyond static geofencing: dynamic corridor allocation, intersection arbitration, shared resource pools (charging docks, narrow passages, elevators, doors), preemption rules
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Cooperative-task primitives: synchronised place-pick handoffs (Robot A places, Robot B picks at coordinated time), coordinated bimanual across two physical robots holding the same object, leader/follower formations, multi-robot peg-in-hole
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Fleet-level performance management: throughput dashboards, robot utilisation balancing, SLA tracking, predictive task rerouting when one robot slows down
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VDA 5050 master mode: NEURA fleet orchestrator dispatches to NEURA + third-party robots in NEURA-managed humanoid/service facilities (hospitality, healthcare, mixed-fleet demos)
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VDA 5050 client interop testing: confirm NEURA robots integrate cleanly with third-party fleet management systems (Open-RMF, Otto, MiR, Symovo) for industrial deployments — protocol layer owned by Robot Connectivity Engineer
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Expose atomic skill primitives (MoveArmTo, Grasp, Release, Insert, etc.) as typed NodeGraph nodes — co-reviewed with platform Motion Planning Engineers
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Skill primitive API surface design: port schemas, error types, pre/postcondition contracts for third-party developers
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Pre-deployment behaviour-tree simulation in the Cognitive Twin: simulating full skill trees before on-robot deployment — Digital Twin & Multi-Sim Engineer provides the simulation infrastructure
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NodeGraph node templates for cooperative-task primitives (the orchestrator's execution vocabulary)
What we can look forward to
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Multi-robot systems background as the primary axis — has shipped task allocation, fleet coordination, or multi-robot orchestration in production. Looks like Open-RMF contributors, AMR fleet engineers (Locus Robotics, Otto Motors, MiR fleet, Symbotic, Geek+, Boston Dynamics Spot coordinator), or industrial automation FMS engineers (Dematic, Vanderlande, Swisslog)