About Foundry
Foundry is GreyOrange's platform for designing and validating automated warehouses. It lets teams go from an early concept to a fully validated solution before anything is built: they model flows, size equipment and robot fleets, lay out the warehouse, and simulate how it will perform. Discrete event simulation (DES) is at the heart of the platform. You will set the architecture and lead the engineering of a high-performance simulator for multi-agent warehouse robotics, and grow it into a fast, accurate, extensible product that customers and partners can build on.
You will write core engine code, make the key architecture calls, and work closely with product, platform, and robotics teams. Make the core engine decisions: event scheduling, time management, deterministic replay, state representation, and scaling to large fleets and long simulated horizons.
Lead development of a high-performance engine, with a focus on throughput, latency, and memory efficiency so that large parameter sweeps run quickly and cheaply.
Model warehouse operations faithfully, including robot navigation and traffic, congestion and resource contention, charging, workstation behavior, and a range of picking and putaway workflows.
Set fidelity standards and calibrate simulation results against higher-fidelity testing and real-world operational data, so customers can trust the output.
Design versioned, public schemas and APIs for simulation inputs, job control, real-time streaming, and results, so customers can integrate their own data sources and tools or run simulations headless.
Build the real-time and analytics data paths that power live visualization, sizing recommendations, and data-driven insights.
Set standards for performance engineering, testing (determinism, regression, and golden-run suites), observability, and code quality.




14+ years of software engineering experience, with at least 5 years leading the architecture of complex, performance-critical systems.

- Strong systems programming skills in Rust, with comfort in async runtimes and high-performance data structures. Working proficiency in Java or a similar JVM language.
- Experience modeling multi-agent systems such as robot fleets, vehicles, logistics networks, or manufacturing lines, including path planning, traffic and congestion, and resource contention.
- Solid distributed-systems fundamentals: job queues, real-time streaming, service-to-service communication, and time-series and analytical data stores.
- The ability to drive alignment across several teams through explicit writing and sound technical judgment.

Experience with WebAssembly runtimes or other plugin and sandboxing architectures.
AnyLogic, FlexSim, Simio, Demo3D).
Experience with simulation frameworks such as DesmoJ or SimPy, or with custom simulation engines at scale.
Experience running large simulation or optimization workloads on cloud infrastructure.
Experience building multi-tenant SaaS products.
Familiarity with operations research, queueing theory, or ML-assisted optimization.
An advanced degree in Computer Science, Operations Research, Industrial Engineering, Robotics, or a related field.
You understand the current simulation platform, its fidelity gaps, and its performance limits. You have published a technical strategy and delivered early wins on performance or correctness.
Results are calibrated against real-world data with published accuracy bounds.
Long term: Simulation is the fast, trusted backbone of every design and sizing decision, and customers and partners extend it with their own algorithms and tools.
Work on hard problems where simulation science, systems performance, and robotics meet.

📌 Principal Engineer | Head Of Engineering (Bengaluru)
🏢 GreyOrange
📍 Bengaluru