In this role, you will:
- Design and implement improvements to Zoox’s in-house, cutting-edge HPC infrastructure
- Design systems that optimize various storage technologies in the cloud and our own datacenter(s) for performance, reliability, and efficiency that power our diverse machine learning workloads
- Investigate new distributed system paradigms and technologies to meet Zoox’s ever growing computational and storage needs
- Create production-grade web service APIs, SDKs, and other tools to provide a world-class developer experience for all of Zoox’s software teams
Qualifications:
- Experience with distributed systems
- Proficiency with Python, Java, or other managed languages
- Bachelor's degree in computer science (or related field)
- Experience with cloud computing platforms such as AWS, GCP, or Azure
Bonus Qualification:
- Experience with workload management / job scheduling systems such as SLURM
- Experience building, deploying, and scaling microservices
- Knowledge of machine learning / artificial intelligence systems
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