Description :

Role Overview :

We are looking for an experienced Senior C++ Developer with strong expertise in modern C++, large-scale data processing, and machine learning integration. The ideal candidate will work on complex, data-intensive systems involving multimodal datasets, ML model deployment, and production-grade software stacks.

This role demands ownership, architectural thinking, and the ability to design and deliver end-to-end solutions in a collaborative, cross-functional environment.

Key Responsibilities / KRAs :

Core C++ Development :

- Design, develop, and maintain high-performance, production-grade C++ applications using modern C++ standards.

- Build scalable and maintainable software architectures for data-heavy and ML-driven systems.

- Optimize memory usage, latency, and throughput for large-scale processing pipelines.

Machine Learning Integration :

- Integrate ML models into C++ production environments, ensuring performance, scalability, and reliability.

- Support ML model deployment pipelines, including versioning, monitoring, and validation.

- Collaborate with Data Scientists and ML Engineers to productionize research models.

Data Engineering & ETL :

- Work with large multimodal datasets (sensor, image, video, LiDAR, telemetry, etc.) and support their ingestion, curation, and processing.

- Design and implement ETL pipelines and data workflows.

- Build analytics, metrics, and insight tools for large datasets.

End-to-End Solution Ownership :

- Drive development from ambiguous or high-level requirements to complete, production-ready solutions.

- Collaborate across teams (ML, data, cloud, product) to define technical approaches.

- Implement testing strategies, validation frameworks, and monitoring dashboards.

Cloud, DevOps & MLOps :

- Contribute to cloud-based ML and data workflows, including orchestration and automation.

- Work with tools such as MLflow, Argo Workflows, dashboards, and logging frameworks.

- Support containerized deployments using Docker and orchestration with Kubernetes.

- Integrate CI/CD pipelines and ensure system observability.

Testing, Metrics & Quality :

- Implement end-to-end testing frameworks, performance benchmarks, and quality metrics.

- Design dashboards and reporting mechanisms for system health, ML performance, and data quality.

- Ensure code quality through reviews, best practices, and documentation.

Required Skills & Experience :

Must-Have :

- 7+ years of experience in modern C++ software design and development.

- Strong experience building production-grade C++ systems.

- Exposure to Machine Learning concepts and model integration.

- Experience deploying ML models in C++ software stacks.

- Experience handling large, multimodal datasets and data pipelines.

- Strong problem-solving skills and ability to work independently.

- Excellent communication skills and collaborative mindset.

- Experience with ETL workflows or cloud-related ML/data tooling (e.g., MLflow, Argo).

Desirable / Nice-to-Have Skills :

- Experience in Robotics, Autonomous Driving, or ADAS platforms.

- Hands-on experience with analytics and insight tools for autonomous driving or sensor datasets.

- Experience building 3D visualization tools, especially for LiDAR point cloud data.

- Familiarity with Docker and Kubernetes for deployment and scaling.

- Experience with cloud platforms such as AWS, GCP, or Azure.

- Hands-on exposure to ML platforms like MLflow, SageMaker, Valohai, or equivalent.

- Knowledge of end-to-end test automation, metrics pipelines, and dashboards.

Soft Skills & Competencies :

- Self-starter with strong ownership mindset.

- Ability to work in fast-paced, cross-functional environments.

- Strong analytical thinking and attention to detail.

- Ability to communicate complex technical concepts clearly to diverse stakeholders.