Lead Software Engineer

Job Description

Lead Sofware Engineer - Simulations(with ML Background) - Global Data Analytics, Technology (Maersk)

This position will be based in India – Bangalore/Pune

A.P. Moller - Maersk
A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains.

Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too.

The Brief
We are seeking a Lead Software Engineer with deep experience in simulation systems and a solid foundation in machine learning to lead the architecture and development of our next-generation simulation and digital twin platforms. This role blends technical leadership with hands-on engineering, guiding the design of simulation systems that model real-world environments and power intelligent, ML-driven decision-making.

You’ll be responsible for leading simulation efforts that generate actionable insights, synthetic data, and predictive capabilities — while also influencing how ML models are built, trained, and deployed within these environments.

What I'll be doing – your accountabilities/responsibilities?

• Architect and lead simulation platforms that model complex systems across time, agents, and interactions.
• Bridge simulation systems with ML workflows: data generation, model training/testing, reinforcement learning, etc.
• Define system architecture, technology choices, and software patterns for scalable, high-performance simulation and ML integration.
• Collaborate with ML engineers, data scientists, and domain experts to enable closed-loop simulations for forecasting, optimization, and control.
• Lead cross-functional engineering efforts across simulation, data, and ML infrastructure teams.
• Mentor engineers across disciplines, setting technical standards and fostering a high-performance culture.
• Own end-to-end delivery of simulation-enabled intelligent systems — from ideation to production.
• Develop and optimize algorithms for discrete-event simulation, agent-based modeling.
• Support scenario testing, what-if analysis, and optimization workflows using simulation outputs.
• Ensure models are modular, extensible, and easily integrated with external services/platforms (e.g., dashboards, analytics, AI agents).

Foundational /Must Have Skills

• Bachelor’s or Master’s in Computer Science, Engineering, or a related technical field.
• 12+ years of software engineering experience, with 3+ years leading teams or major initiatives.
• Demonstrated experience in simulation platforms (e.g., SimPy, Mesa, CARLA, Unity, AnyLogic, or custom-built engines).
• Strong programming skills in Python (required); additional languages like C++, Rust, or Julia are a plus.
• Deep understanding of ML principles — model pipelines, data engineering, evaluation, and deployment.
• Experience working with synthetic data, simulators for ML training/testing, or RL environments (e.g., OpenAI Gym, Isaac Sim, Unity ML-Agents).
• Solid grasp of software architecture, distributed systems, and CI/CD pipelines.

Preferred to Have

• Experience with reinforcement learning, decision-making under uncertainty, or control systems.
• Familiarity with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn) and MLOps tools (e.g. MLflow, Weights & Biases).
• Background in simulation-heavy domains such as robotics, logistics, autonomous systems.
• Familiarity with cloud infrastructure (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes).
• Strong communication and cross-functional leadership skills — able to align engineers, ML teams, and product stakeholders.

As a performance-oriented company, we strive to always recruit the best person for the job – regardless of gender, age, nationality, sexual orientation or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high-performing teams.

Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.

We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.