onsite

Sr. C++ Engineer - ML Infrastructure & MLOps

Quadzero is seeking a Senior C++ Engineer specializing in ML Infrastructure & MLOps to design, build, and maintain critical infrastructure for ML model training, validation, and deployment. This role involves automating data pipelines, developing monitoring dashboards, and ensuring the reproducibility and observability of perception workflows. The ideal candidate will have extensive experience in modern C++ and ML model deployment in production environments.

About the role

Roles & Responsibilities:

Introducing and customizing automation into data extraction and labeling pipelines.
Design and improve metrics pipelines and create monitoring dashboards to track performance of perception systems in production.
Build and maintain infrastructure and ETL pipelines for training, validating, and deploying ML models.
Build and maintain infrastructure for interfacing with third party labeling companies.
Ensure reproducibility, traceability, and observability of Perception workflows.

Required Skills and Abilities:

7+ years' experience in Modern C++ software design and development.
Experience with large multimodal datasets and their curation.
Self-starter - experience developing a solution end-to-end starting from vague requirements in a cross team collaborative environment.
Experience with ML
ML model deployment in production grade C++ software stacks
Good communication skills and a collaborative mindset.
Experience with ETL, or other cloud related experience (e.g. MLFlow, Argo workflow, dashboards)

Desirable Skills:

Robotics and/or autonomous driving platform experience
Implementation of end- to- end test and metrics workflows and dashboards
Implementation of analytics and insight tools for AD datasets
Familiarity with containerization (Docker) and orchestration (Kubernetes).
Familiarity with cloud platforms like AWS, GCP, or Azure.
Hands-on experience with ML platforms (e.g., MLflow, SageMaker, Valohai, or equivalent).
Experience in building 3D Visualization tools for LiDAR point cloud data

About the role

Roles & Responsibilities:

Introducing and customizing automation into data extraction and labeling pipelines.
Design and improve metrics pipelines and create monitoring dashboards to track performance of perception systems in production.
Build and maintain infrastructure and ETL pipelines for training, validating, and deploying ML models.
Build and maintain infrastructure for interfacing with third party labeling companies.
Ensure reproducibility, traceability, and observability of Perception workflows.

Required Skills and Abilities:

7+ years' experience in Modern C++ software design and development.
Experience with large multimodal datasets and their curation.
Self-starter - experience developing a solution end-to-end starting from vague requirements in a cross team collaborative environment.
Experience with ML
ML model deployment in production grade C++ software stacks
Good communication skills and a collaborative mindset.
Experience with ETL, or other cloud related experience (e.g. MLFlow, Argo workflow, dashboards)

Desirable Skills:

Robotics and/or autonomous driving platform experience
Implementation of end- to- end test and metrics workflows and dashboards
Implementation of analytics and insight tools for AD datasets
Familiarity with containerization (Docker) and orchestration (Kubernetes).
Familiarity with cloud platforms like AWS, GCP, or Azure.
Hands-on experience with ML platforms (e.g., MLflow, SageMaker, Valohai, or equivalent).
Experience in building 3D Visualization tools for LiDAR point cloud data