PackageX · 1 month ago
Senior Robotics Solutions Engineer
PackageX is building a Physical Logistics Execution Platform for enterprise teams operating across manufacturing sites, distribution centers, warehouses, retail locations, and logistics-heavy environments. The Senior Robotics Solutions Engineer will lead onsite discovery, robotics integration, control and motion development, safety, vision-to-motion systems, and customer-facing deployment for industrial palletizing and sorting applications.
Artificial Intelligence (AI)Cloud ComputingTransportationLogisticsSoftwareCloud InfrastructureLast Mile TransportationShippingSupply Chain ManagementWarehousing
Growth Opportunities
Responsibilities
**Field discovery:** Lead technical discovery onsite. Establish the equipment and controls baseline for a cell: robot model, controller and firmware, I/O map, safety architecture, camera and sensor inventory, cycle times, throughput and physical envelope constraints. A great deal of what you need will not be written down anywhere. You get it by knowing what to ask, and who to ask
**Robot control and motion:** Design, build and commission control and motion logic for industrial palletizing and sortation cells. Motion sequencing, pick and place, stacking and pallet pattern logic, singulation, and recovery from partial or failed cycles. This includes taking ownership of systems already installed and running
**Safety:** Own the functional safety story end to end. Risk assessment, safeguarding, emergency stop and interlock integrity, safe speed and separation, and the documentation a customer engineering and EHS team will sign. Nothing we ship moves a machine without this
**The control interface layer:** Command and telemetry between PackageX and robot controllers, PLCs, fleet managers, conveyor and sortation control. Expect ROS 2, vendor SDKs and controller APIs, HTTPS and REST, MQTT, OPC UA, and industrial fieldbus where it turns up.:
**Vision to motion:** Turn classification and inspection output from our vision models into safe, correct and timely machine action, including what happens when the model is uncertain and what happens when it is simply wrong
**Failure modes:** Dropped links, partial task completion, and reported state that disagrees with physical reality. You design for the floor at 3am, not for the demo
**The operator surface:** Enough front end capability to stand up the views that show robot driven work in progress and put exceptions in front of a human, without waiting on a designer
**Handoff and enableent:** Documentation, test coverage and internal training, so the work you deliver becomes durable PackageX capability rather than a one off
Qualification
Required
Production experience programming and commissioning industrial robotic arms. Yaskawa Motoman, Fanuc, ABB, KUKA or Universal Robots. Coursework and hobby platforms do not count here
Fluency in robot motion. Kinematics, frames and tool center points, path planning, singularities, payload and reach limits, collision avoidance, and pattern logic for palletizing and depalletizing
You have used a teach pendant in anger, and you know exactly why a pendant program and a cell actual behaviour drift apart over years of production
Real functional safety knowledge. ISO 10218 and ISO TS 15066 where collaborative operation applies, risk assessment methodology, safety rated monitored stop, category and performance level reasoning, and safety PLCs. You can explain to a plant engineer why your design is safe, and stay standing under cross examination
Controls integration experience. PLCs, industrial protocols, sensors, conveyors, sortation, and the electrical realities of a working cell
ROS or ROS 2 in production. Equally useful: you know when ROS is the wrong answer for an industrial cell, and you say so
Strong Python and C++ on the robot side
Production services in TypeScript, Node, Go or Python, and fluency with event driven integration. REST, gRPC, MQTT, WebSockets
Able to stand up a functional operator UI in React or similar without a designer holding your hand
Comfortable working next to computer vision systems. You do not need to train models. You do need to reason about latency, confidence thresholds, false positives, and what a vision system uncertainty means for a machine that is about to move
You are genuinely good in a room. You can talk to a distribution director about throughput and cost, then walk twenty feet and talk to a maintenance technician about why the gripper drops every fortieth pallet. Both of them should want to talk to you again
You interview well. You ask the question behind the question, you notice when an answer is a guess wearing the clothes of a fact, and you keep pulling until you have the real constraint. Undocumented systems give up their secrets to people who are patient and specific
You have delivered onsite for enterprise customers and you understand what it costs them to have you on their floor. You work around their shift patterns, not the other way around
You write things down in a way that another engineer, and a customer executive, can act on
You can tell your own leadership that a scope is not achievable in the timeline. Early, with evidence, before it becomes a crisis
You think about the second customer while building for the first. Which parts of this belong in the PackageX platform as reusable robotics capability, and which parts are honestly bespoke to one cell
You can hold a commercial constraint in your head while making a technical choice, and explain the trade to someone who is not an engineer
You have opinions about what we should not build
Benefits
Remote work in the United States
Company
PackageX
Vision-AI software for logistics execution and verification.
Funding
Current Stage
Growth StageTotal Funding
unknownKey Investors
Bullpen Capital
2023-05-18Seed
Leadership Team
Farrukh Mahboob
CEO, founder
Waqas Mushtaq
Co Founder and Managing Director
Recent News
Maccabee Ventures
2026-08-27
Bullpen Capital
2026-06-25
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