Senior Software Engineer – ML Infrastructure

About the role

Our team builds the foundational infrastructure that empowers Machine Learning Engineers to develop the next generation of self‑driving technology. As a Senior Software Engineer you will design and operate high‑performance, large‑scale systems that process petabytes of vehicle data and train complex models.

Key responsibilities

• Design, build, and deploy core components of our ML infrastructure platform on Kubernetes.
• Develop robust, scalable services supporting the full ML lifecycle, from data ingestion to model training and evaluation.
• Write high‑quality, maintainable code for high‑throughput systems handling petabytes of data.
• Own features and systems end‑to‑end, driving them from design through production deployment and operation.

Required profile

• 4+ years of professional software engineering experience.
• BS or MS in Computer Science or a related technical field.
• Hands‑on experience developing and deploying applications on Kubernetes.
• Experience building high‑scale infrastructure or distributed backend systems.
• Strong proficiency in Python, Go, or a similar language.
• Solid experience with a major cloud provider (AWS, GCP, or Azure).

Required skills

• Python
• Go
• Kubernetes
• AWS
• GCP
• Azure
• Ray (Data and Train)