Overview
Our team builds the foundational infrastructure that empowers Machine Learning Engineers to develop the next generation of self-driving technology.
We design and operate the high-performance, large-scale systems that process petabytes of vehicle data, run massive simulations, and train complex models.
This is a software engineering role focused on building robust platforms, not an SRE position.
What you'll be doing
Design, build, and deploy core components of our ML infrastructure platform on Kubernetes.
Develop robust and scalable services that support the entire ML lifecycle, from data ingestion and processing to model training and evaluation.
Write high-quality, maintainable code for high-throughput systems that handle petabytes of data.
Own features and systems end-to-end, driving them from initial design through to production deployment and operation.
What were looking for
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 (k8s) is a must.
Experience building or working on 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, Azure).
Experience with distributed computing frameworks like Ray is a bonus
A strong sense of ownership and a passion for building high-quality software.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Robotics Engineering and Technology
Information and Media
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