Expert Inference Developer

3 days ago

Gujranwala, Punjab, Pakistan beBeeEngineer Full time $175,000 - $250,000
Cloud AI Engineer

We are seeking a skilled Cloud AI Engineer to drive the development and optimization of our inference systems. This role involves building scalable architecture for optimized inference serving of popular models, creating novel techniques for custom model serving, and expanding the platform to handle global user demands.

This position offers an exciting opportunity to join a dynamic team focused on revolutionizing cloud computing and AI. You will work with cutting-edge technology and collaborate with top talent dedicated to simplifying cloud and AI.

The ideal candidate has expertise in building distributed systems with Kubernetes, gRPC, Go, Python, as well as GPU programming with CUDA, ROCm. Experience with L3-L7 network protocols, block storage, object storage, and multi-tenant systems is highly desirable.

The successful candidate will have a proven track record of defining and achieving performance KPIs (latency, throughput, cost) and contributing to open-source inference engines to improve their performance on our cloud platform.

Key Responsibilities:
  • Design and implement a distributed inference platform for large language model serving
  • Optimize runtime and infrastructure layers of the inference stack for best model performance
  • Develop native cross-platform inference support across NVIDIA and AMD GPUs for various model architectures
  • Contribute to open-source inference engines to enhance their performance on our cloud platform
  • Create tooling and observability to monitor system health and build auto-tuning capabilities
  • Develop benchmarking frameworks to test model serving performance and guide system and infrastructure tuning efforts
  • Mentor engineers on inference systems, GPU infrastructure, and distributed inference best practices
Requirements:
  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field
  • Experience building distributed systems with Kubernetes, gRPC, Go, Python
  • Experience with GPU programming with CUDA, ROCm
  • Experience with L3-L7 network protocols, block storage, object storage
  • Experience with building multi-tenant systems - identity management, tenant isolation
  • Proven track record defining and achieving performance KPIs (latency, throughput, cost)
Benefits:
  • We innovate with purpose. You'll be part of a cutting-edge technology company with an upward trajectory, proud to simplify cloud and AI.
  • We prioritize career development. At our company, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry.
  • We care about your well-being. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's courses to support their continued growth and development.
  • We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance.
  • We value diversity and inclusion. We are an equal-opportunity employer, recognizing that diversity of thought and background builds stronger teams and products to serve our customers.

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