
Senior Software Engineer, ML Infrastructure
2 weeks ago
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.
As a Senior Engineer, you will be a key contributor to the team, owning the design and implementation of critical services that directly impact the pace of AV innovation.
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 we're 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).
- A strong sense of ownership and a passion for building high-quality software.
Machine Learning
MASSIVE
Kubernetes
Azure
Active Directory
VMware
Software Engineering
Scripting
Windows Server
Python
Windows
AV
GCP
Simulations
ITIL
Linux
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