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# Staff Software Engineer, Physical AI Orchestration

- **Company:** DESTRO AI INC
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Computer Vision, Automation of Tests, C++ (Programming Language), Code Review, Continuous Integration, Data Sharing, Linux, Distributed Systems, Fault Tolerance, Hardware-In-The-Loop Simulation, Python (Programming Language), Release Management, Robotic Automation Software, Software Construction, Management of Software Versions, Software Organization, Datadog, Data Logging, Cloud Platform System, Multi-Agent Systems, Change Tracking, Technical Debt, Git, Containerization, Sap Extended Warehouse Management, Software Version Control, Server Operating Systems & Platforms
- **Published:** August 25, 2026
- **Apply:** https://www.wayup.com/i-j-Staff-Software-Engineer-Physical-AI-Orchestration-Destro-AI-635566666367582/

## About the Role

+ 8+ years building software, with a substantial portion of it at robotics companies - AMR/AGV, warehouse automation, manipulation, autonomous vehicles, drones, or comparable fielded robotic systems
 + You have shipped software that ran on real robots, in real customer environments, at real scale - not in a lab or a research group
 + You have personally taken a system from pilot-grade to multi-site production, and can walk through what broke and how you fixed it
 + You have consolidated fragmented services into a unified platform, on a live system, without stopping delivery
 + You have introduced engineering process to a team that didn't have any, and gotten people to actually adopt it
 + Pragmatic about technical debt - you sequence fixes by risk, not by preference
 + Comfortable owning production, including on-call and live incidents
 + Able to operate independently in ambiguous, fast-moving startup environments
 + Strong communicator who can align engineers, deployment teams, and customers on the same technical plan
 + Wants to build and lead a team, but wants to stay close to the code
 + High ownership mindset with strong bias for execution

Technical Skills

 + Deep Python; strong systems fundamentals. C++, Go, or Rust a plus
 + ROS/ROS2, and direct experience with multi-vendor or heterogeneous robot fleets
 + Fleet management, teleoperation, or robot observability tooling - whether you used it or built it
 + Distributed systems, message-based architectures, and the failure modes of intermittently connected edge devices
 + Git at scale - branching models, monorepo or multi-repo tradeoffs, release management
 + Containerization, infrastructure-as-code, and modern CI/CD
 + OTA update systems and fleet device management
 + Linux/server environments, networking, cloud systems, and edge deployments
 + Prior integration work against WMS/WES platforms (Manhattan, Blue Yonder, Körber, SAP EWM) or with 3PL operators is a plus

## Description

+ Bring today's separate services into one coherent platform with clear service boundaries, shared data contracts, and consistent interfaces
 + Design for scale: multi-site, multi-tenant, and multi-vendor robot fleets from day one
 + Eliminate duplicated logic, one-off scripts, and per-site special cases
 + Own the technical roadmap that takes us from the current architecture to the target one, incrementally and without downtime

Version Control, Release & Update Delivery

 + Establish real version control discipline: branching strategy, code review standards, semantic versioning, release branches, and change tracking
 + Build a repeatable, automated path from commit to running on customer hardware
 + Implement over-the-air update push across cloud and on-site edge compute - staged rollouts, device provisioning, version pinning per site, and a rollback path that works at 4am
 + Guarantee we always know exactly what version is running where

Production Readiness & Reliability

 + Stand up CI and meaningful automated test coverage, including simulation and hardware-in-the-loop testing so changes can be validated without a robot on the floor
 + Build structured logging, metrics, tracing, and alerting across the deployed fleet
 + Harden the integration surface with customer WMS, WES, and ERP systems - retries, idempotency, schema versioning, graceful degradation when their systems go down
 + Establish on-call, incident response, runbooks, and postmortem practice
 + Own uptime, performance, and stability of the platform in production

Engineering Leadership

 + Define and implement engineering best practices across the software organization - code review, documentation, testing standards, definition of done
 + Lead cross-functionally with robotics, computer vision, deployment, and product to sequence work and resolve technical tradeoffs
 + Mentor the engineers already here and raise the bar on every hire after you
 + Grow into leading the software team as we scale headcount over the next 12 months


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