Scalable Distributed Systems Specialist
2 days ago
- Building and maintaining highly scalable and reliable PaaS and IaaS platforms for our autonomous driving solutions.
- Developing high-performance and scalable distributed systems for large-scale data storage, data processing, distributed deep learning, and simulation.
- Improving platform efficiency by identifying and resolving performance bottlenecks.
- Designing and implementing profiling tools to enable efficient system bottleneck identification.
- Creating monitoring and introspection tools for quick system analysis.
Requirements:
- BS, MS, or PhD in Computer Science/Engineering, Statistics, or equivalent fields.
- 3+ years of experience developing scalable, distributed, compute-intensive services and ETLs on AWS or other cloud platforms.
- 3+ years of experience in cloud-native software architecture and development.
- Proficiency in C++, Python, Go, Scala, or Java.
- Familiarity with Kubernetes, Linux, Docker, LXC, microservices.
The estimated salary range for this position is between $143,000 - $197,437.50. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. You will also be eligible for an annual performance bonus, equity, and a competitive benefits package.
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