High-Performance Inference Engineer

7 days ago

Islamabad, Islamabad, Pakistan beBeeSoftware Full time $180,000 - $250,000

We're looking for a seasoned software engineer to spearhead the development of high-performance inference systems.

Key Responsibilities:
  • Design and implement a distributed inference platform
  • Optimize runtime and infrastructure layers
  • Develop native cross-platform inference support
  • Contribute to open-source inference engines
  • Build tooling and observability
  • Develop benchmarking frameworks
  • Mentor engineers on inference systems
Requirements:
  • Bachelor's or Master's 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)
Preferred Qualifications:
  • Experience with one or more inference engines: vLLM, SGLang, Modular
  • Familiarity with one or more distributed inference serving frameworks - llm-d, NVIDIA dynamo, Ray Serve
  • Knowledge of distributed inference optimization techniques - tensor/data parallelism, KV cache optimizations, smart routing
  • Familiarity with common LLM architectures and inference optimization techniques
  • Experience with GPU Interconnect technologies like NVlink, XGMI, RoCE
  • Open-source contributions to inference libraries, frameworks, model kernels
What We Offer:

A collaborative environment that fosters innovation and growth. Opportunities to work on cutting-edge projects and contribute to the development of inference systems.

A team of experienced engineers who are passionate about delivering high-quality solutions.

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