Senior Software Engineer developing machine learning geospatial products for Planet. Collaborating with engineers and scientists on innovative remote sensing analytics.
About the role
- Develop and maintain digital twin simulations for warehouse and logistics systems, modeling system states, events, and resource interactions.
- Create and optimize network models to improve flow, resource allocation, and operational performance.
- Design and implement simulation models and optimization solutions to enhance warehouse logistics, resource allocation, and network efficiency.
- Collaborate with stakeholders to integrate simulation and optimization solutions into existing workflows.
- Analyze simulation outputs to pinpoint inefficiencies and recommend actionable improvements.
- Write modular, testable, and efficient code to support simulation and optimization projects.
- Document processes, methodologies, and findings for technical and non-technical audiences.
Requirements
- Core Python: OOP, data structures, algorithms; writing modular, testable, efficient code
- Data Manipulation & Numerical Computing: pandas for cleaning/analysis; NumPy for computations
- Data Ingestion: fetching from REST APIs (requests) and databases (SQL)
- Discrete-Event Simulation: DES principles; SimPy for modeling states, events, resources
- Operations Research & Optimization: LP/MIP formulation; Python libraries (OR-Tools, Pyomo, PuLP); familiarity with VRP basics and assignment problems
- Graph Analytics: NetworkX for building/analyzing network topologies and flows
- DevOps & Version Control: Git with CI/CD pipelines; Docker containerization
- API Development: building/deploying REST services with Flask or FastAPI
- Visualization: creating plots and dashboards using Matplotlib, Seaborn, or Plotly
- Nice-to-Have: Advanced Routing & Heuristics (VRP variants, heuristics/meta-heuristics)
- Nice-to-Have: Commercial Solvers (Gurobi or CPLEX) and their Python APIs
- Nice-to-Have: ML-Enhanced Simulations (scikit-learn or TensorFlow/PyTorch)
- Nice-to-Have: Alternative simulation paradigms (agent-based modeling)
- Nice-to-Have: Streaming & IoT: kafka-python; MQTT (paho-mqtt)
- Nice-to-Have: Geospatial Processing & Visualization (GeoPandas, Shapely; routing engines/APIs; Folium)
- Nice-to-Have: Interactive Dashboards (Dash or Streamlit)
- Nice-to-Have: 3D Visualization (pyvista or vedo)
- Ability to collaborate with stakeholders to integrate simulation and optimization solutions
- Location: Hybrid in India (Bangalore or Pune)
Benefits
- Hybrid work arrangement (locations: India — Bangalore and Pune)
- Inclusive and diverse workplace; equal opportunities employer
- Support for adjustments and accommodations during application and hiring process (contact [email protected])
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
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PA
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