Published: Sat, 04 Jan 2025 06:50:37 GMT
per year
Senior Software Engineer – ML Infrastructure at Yurts
Company Overview:
Yurts is a rapidly growing company that specializes in developing a secure knowledge management platform to harness the power of AI for productivity and performance. Our unique approach focuses on the people, systems, and workflows that drive AI, making it a powerful tool for any organization. Through partnerships with industry leaders such as Nvidia, HPE, and Oracle, we offer innovative and secure solutions for a variety of industries. We are looking for talented individuals to join our team and help shape the future of AI innovation.
Responsibilities:
– Design, deploy, and maintain robust ML infrastructures using Kubernetes and containerization technologies
– Utilize deep knowledge of CUDA and GPU-accelerated computing to optimize ML inference for high performance and low latency
– Champion DevOps practices and streamline CI/CD pipelines to enhance the software development lifecycle
– Lead efforts to develop and implement model scheduling and autoscaling strategies to ensure optimal resource utilization
– Collaborate with cross-functional teams to drive innovation and push the boundaries of ML infrastructures
Requirements:
– 5+ years of relevant experience in ML infrastructure development
– 1+ years of professional development experience with Rust
– Proven track record of extensive experience with Kubernetes and containerization technologies
– Hands-on experience 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
– Strong architectural and software development skills
Preferred Qualifications (not mandatory):
– Experience deploying and managing machine learning models in cloud environments (AWS, GCP, Azure)
– Knowledge of machine learning frameworks such as TensorFlow, PyTorch, or ONNX
Note:
At Yurts, we believe in harnessing the power of ML infrastructure to achieve outstanding performance. If you’re interested in exploring the possibilities of machine learning and its potential impact, check out our blog for fascinating insights. This will give you a glimpse into the exciting world of ML infrastructure and its applications.
Compensation Information:
Salary range of $200,000 – $265,000 USD per year. Apply link
