Staff Software Engineer- Virtual Warehouse Simulation

We are seeking a Staff Software Engineer to own the design development and scaling of our virtual warehouse simulation infrastructure for Stretchs case picking application. Stretch is already a proven industry powerhouse in truck unloading at customer sites and case picking represents its next major phase of commercial deployment robots navigating massive warehouse environments picking cases from racking aisles building pallets and coordinating as fleets.

Case picking requires simulation capabilities that go well beyond what we have today. The core challenge is scale: building and rendering warehouse environments with hundreds of meters of travel distance and thousands of pick locations simulating lidar and cameras with enough fidelity to develop navigation and perception algorithms and doing it all fast enough to be useful for daily development. These environments are far too large to validate on hardware alone. You will be the technical owner of virtual warehouse simulation: building environments at production scale simulating lidar and cameras with sufficient fidelity for navigation and perception development scripting multi-agent scenarios and integrating simulation into CI for regression testing.

To thrive in this role youll need expertise in large-scale 3D environments rendering pipelines and sensor simulation combined with enough robotics background to understand what navigation and perception developers actually need from their sim tools. Youll need the pragmatism to deliver useful increments quickly and the judgment to make high-stakes build-vs-integrate technology decisions. This is a high-autonomy high-impact role: you will set the technical direction for this domain and be a primary developer of the system not just an architect handing off designs. Youll influence the work of engineers across multiple teams and be accountable for whether simulation actually accelerates case picking development.

Key Responsibilities:

• Own the technical vision architecture and roadmap for the virtual warehouse simulation platform aligned with Boston Dynamics broader simulation investments. Be a primary hands-on developer of the system not just its architect.

• Design and implement warehouse-scale simulation environments with thousands of static assets (racking bays pallets obstacles) supporting the full range of customer site configurations.

• Drive requirements for developing and integrating sensor simulation (2D lidar RGB cameras depth cameras odometry with drift modeling) at sufficient fidelity to run the same localization navigation and perception algorithms used on hardware.

• Build tooling for scenario authoring dynamic obstacle scripting multi-agent coordination testing and jump to situation capabilities that accelerate developer iteration.

• Integrate simulation with the on-robot software stack (navigation localization perception pipelines) and fleet management systems enabling end-to-end virtual validation.

• Drive simulation into CI/CD pipelines automated regression testing capability progression tracking and dashboards that give stakeholders visibility into development progress.

• Lead evaluation of simulation technology options and make defensible build-vs-integrate decisions based on focused evaluation sprints.

• Develop and maintain sim-to-real transfer validation practices: system identification domain randomization sim-to-sim cross-validation and correlation tracking against hardware test results.

• Influence and technically guide other engineers contributing to simulation across teams; set technical standards for simulation code test design and scenario coverage.

• Collaborate with navigation localization perception manipulation and fleet software teams to understand their highest-priority development and testing needs and translate those into simulation capabilities.
  

Desired Experience:

• Bachelors degree (or higher) in Computer Science Robotics or a related field.

• 8 years of experience developing software in a professional environment with significant depth in simulation real-time 3D environments rendering or robotics infrastructure.

• Demonstrated experience building or significantly extending simulation infrastructure not just using simulators but designing the environments rendering pipelines tools and integrations that make them useful for development teams.

• Strong proficiency in C and Python within a Linux environment.

• Experience with large-scale 3D environment creation asset pipelines (e.g. Blender USD) and/or game engine or rendering frameworks (e.g. Unreal Unity Filament Omniverse).

• Experience with one or more simulation frameworks relevant to robotics or autonomous systems (e.g. Isaac Sim Gazebo MuJoCo O3DE).

• Depth in sensor simulation particularly lidar modeling and camera rendering pipelines. Understands the tradeoffs between rendering fidelity simulation speed and sim-to-real transfer for perception and localization workloads.

• Familiarity with robotics system architecture and integrating simulation with real robot software stacks.

• Experience building simulation into CI/CD pipelines for automated regression testing.

• Track record of making pragmatic technical decisions knowing when to build from scratch when to integrate an external tool and when good enough fidelity unlocks development velocity.

• Strong technical communication skills; ability to work cross-functionally with perception navigation and product teams.
  

Nice to Have:

• Experience with GPU-accelerated simulation or rendering (CUDA XLA/MJX Omniverse/USD).

• Experience with synthetic data generation for training perception or ML models.

• Understanding of navigation and localization concepts (SLAM path planning odometry loop closure) sufficient to build simulation tools that meaningfully exercise these systems.

• Experience with large-scale environment simulation warehouses factories or other industrial settings with thousands of objects and long travel distances.

• Familiarity with fleet simulation multi-agent coordination or discrete-event simulation.

• Experience with warehouse automation or logistics applications

• Experience with safety system simulation and validation.