Innovative Software Architect

1 day ago


Rawalpindi Cantonment, Pakistan beBeeSoftwareEngineer Full time $180,000 - $240,000

We are seeking a highly experienced software engineer to drive the design, optimization and scaling of our inference systems.

Key Responsibilities
  • Design and implement distributed inference platforms for serving large language models.
  • Optimize runtime and infrastructure layers of the inference stack for best model performance.
  • Build native cross-platform inference support across NVIDIA and AMD GPUs for various model architectures.
  • Contribute to open-source inference engines to make them perform better on cloud platforms.
  • Build tooling and observability to monitor system health, and build auto-tuning capabilities.
  • Build benchmarking frameworks to test model-serving performance to guide system and infrastructure tuning efforts.
  • Mentor engineers on inference systems, GPU infrastructure, and distributed inference best practices.
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, etc.
  • Proven track record defining and achieving performance KPIs (latency, throughput, cost).
Preferred Qualifications
  • Experience with one or more inference engines: vLLM, SGLang, Modular, etc.
  • Familiarity with one or more distributed inference serving frameworks - llm-d, Ray Serve, etc.
  • Knowledge of distributed inference optimization techniques - tensor/data parallelism, KV cache optimizations, smart routing, etc.
  • Familiarity with common LLM architectures and inference optimization techniques (e.g., continuous batching, quantization, etc).
  • Experience with GPU Interconnect technologies like NVlink, XGMI, RoCE.
  • Open-source contributions to inference libraries, frameworks, model kernels, etc.
Why This Opportunity is Attractive
  • We prioritize career development. You will do the best work of your career.
  • We care about your well-being. We provide a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few.
  • We reward our employees. Bonus amounts are determined based on company and individual performance.
  • We value diversity and inclusion. We recognize that diversity of thought and background builds stronger teams and products to serve our customers.


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