Senior Software Engineer
1 day ago
At Yurts, we are at the forefront of driving innovation in machine learning (ML) infrastructure to deliver cutting-edge solutions. Our mission is to create robust ML infrastructures leveraging Kubernetes and containerization technologies, optimizing ML inference for high-performance and low-latency models.
Key Responsibilities:
- Design, deploy, and maintain scalable ML infrastructures using Kubernetes and containerization technologies.
- Optimize ML inference using CUDA and GPU-accelerated computing to deliver high-performance and low-latency models.
- Implement DevOps practices and streamline CI/CD pipelines to enhance the software development lifecycle.
- Develop and implement model scheduling and autoscaling strategies to dynamically allocate resources based on real-time inference demands.
- Collaborate with cross-functional teams to drive innovation and push the boundaries of ML infrastructures.
Requirements:
- 5+ years of experience in ML infrastructure development.
- 1+ years of professional development experience with Rust.
- Proven track record of experience with Kubernetes and containerization technologies.
- Hands-on experience in optimizing ML inference using CUDA and GPU-accelerated computing.
- Deep understanding of DevOps practices and experience implementing CI/CD pipelines.
- Demonstrated expertise in model scheduling and autoscaling techniques.
Preferred Qualifications:
- Experience in deploying and managing machine learning models in cloud environments.
- Knowledge of machine learning frameworks and their integration with inference engines.
Compensation Information:$180,000—$220,000 USD
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