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Inference Engine Development - Member of Technical Staff

Callosum· Compute & Infrastructure
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LondonFull-timePosted 3mo ago

About the role

Role focused on adapting and extending inference engines for heterogeneous hardware, designing scheduling, memory and execution optimizations to enable production-scale, hardware-aware inference across diverse accelerators.

Responsibilities

  • Contribute upstream to SGLang and vLLM, and maintain internal forks where our requirements diverge
  • Improve hardware-awareness within inference engines so that scheduling, memory management, and execution adapt to the capabilities of the underlying accelerator
  • Design and implement bespoke parallelism and disaggregation strategies that go beyond default configurations to better exploit heterogeneous hardware
  • Work closely with an Accelerator Systems Software engineer to ensure engine-level abstractions map cleanly onto diverse hardware capabilities

Qualifications

  • Deep familiarity with the internals of SGLang, vLLM, or comparable inference serving frameworks - scheduler design, memory management, and execution pipelines
  • Strong background in high-performance Python and C++/CUDA systems, particularly in the context of ML inference
  • Experience designing or implementing parallelism strategies for large model serving
  • Understanding of disaggregated serving architectures and the tradeoffs involved in separating modules of a workflow
  • Demonstrable record of working effectively in fast-moving open source codebases with evolving APIs and design conventions

Skills

Required:SGLangvLLMScheduler designMemory managementParallelism strategiesDisaggregated serving architectures

Benefits

  • Competitive Salary, determined by skills and experience
  • Equity & Ownership
  • Private healthcare
  • Visa sponsorship and relocation benefits to hire the best in the world
Last updated Oct 14, 2026. Interested? Apply on the company site.

About Callosum

The Intelligent Systems Company.

Callosum - Co-evolving chips & intelligence

AISystems companychipscomputedevelopmentheadline-ai-europe-100-2026heterogeneousinfrastructure

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