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Lead Software Engineer, Model Serving Platform

sciforium · San Francisco

New
Senior 🇬🇧 English
C++ Python CUDA HIP Kubernetes Ray Containerization Performance profiling Debugging Distributed inference

Job description

About the role

This is a rare chance to help architect and lead the development of Sciforium’s next‑generation model serving platform, the high‑performance engine that will bring a multimodal, highly efficient foundation model to market. As a senior technical leader, you’ll not only build core components yourself but also guide and mentor other engineers, influencing engineering direction, standards, and execution quality.

Key responsibilities

  • Lead the technical direction of the model serving platform, owning architecture decisions and guiding engineering execution.
  • Build core serving components including execution runtimes, batching, scheduling, and distributed inference systems.
  • Develop high‑performance C++ and CUDA/HIP modules, including custom GPU kernels and memory‑optimized runtimes.
  • Collaborate with ML researchers to productionize new multimodal models and ensure low‑latency, scalable inference.
  • Build Python APIs and services that expose model capabilities to downstream applications.
  • Mentor and support other engineers through code reviews, design discussions, and hands‑on technical guidance.
  • Drive performance profiling, benchmarking, and observability across the inference stack.
  • Ensure high reliability and maintainability through testing, monitoring, and engineering best practices.

Required profile

  • Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience.
  • 5+ years designing and building scalable, reliable backend systems or distributed infrastructure.
  • Strong understanding of LLM inference mechanics (prefill vs decode, batching, KV cache).
  • Experience with Kubernetes/Ray and containerization.
  • Effective communication skills and ability to lead technical discussions, mentor engineers, and drive engineering quality.

Required skills

  • C++
  • Python
  • CUDA/HIP GPU programming
  • Custom GPU kernel development
  • Kubernetes
  • Ray
  • Containerization (Docker, etc.)
  • Performance profiling and debugging at system level
  • Distributed inference and scheduling

What we offer

  • Medical, dental, and vision insurance
  • 401k plan
  • Daily lunch, snacks, and beverages
  • Flexible time off
  • Competitive salary and equity
  • Equal opportunity employment

Questions fréquentes

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Source : ats:ashby

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Published 12 hours ago

Expires 1 month from now

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sciforium

San Francisco