Normal Computing
Normal Computing
51 – 200 Xodimlar
The available profile information identifies Normal Computing as a company founded in 2022, but does not describe its products, services, industry, or hiring context. More company-specific details are needed to provide a useful overview for job seekers.

Runtime Engineer, AI Hardware

Design runtime software for Normal Computing’s memory-centric AI hardware, leading architecture, hardware abstraction, and LLM inference performance.

Tavsif

  • Lead runtime architecture across device management, memory allocation, host-device transfers, executable loading, and command submission.
  • Develop the runtime for simulators and FPGA prototypes through a consistent interface ahead of silicon availability.
  • Abstract hardware differences across simulators, FPGA prototypes, silicon, and future generations.
  • Manage device state stored on hardware, including model weights kept resident between requests.
  • Reduce runtime overhead on the LLM inference critical path to improve end-to-end latency and throughput.
  • Define interfaces with compiler, driver, and firmware components.
  • Guide the runtime’s technical direction and review designs that depend on it.
  • Work with compiler and serving engineers to shape effective interfaces.

Talablar

  • Experience developing runtimes, drivers, or hardware abstraction layers for accelerators or other specialized hardware.
  • Strong C++ or Rust systems programming skills, including memory management, concurrency, and low-level performance.
  • Demonstrated ownership of a complex systems component from design through production.
  • Experience leading technical decisions across teams.
  • Understanding of LLM inference workloads and runtime needs.
  • Comfort developing software for changing hardware, from simulation through bring-up.
  • Bonus: familiarity with open runtime designs such as IREE’s HAL or with CUDA or ROCm runtime internals.
  • Bonus: experience with in-memory compute or other non-von-Neumann hardware.
  • Bonus: experience integrating a runtime with an inference server such as vLLM.
  • Bonus: contributions to open-source runtime or systems infrastructure.

Imtiyozlar

  • Equity.
  • Performance-based incentives.
  • Comprehensive compensation package.
  • Benefits intended to support employee well-being and professional growth.
  • Competitive, equitable compensation.
  • Reasonable accommodations for employees with disabilities.

O‘xshash ish o‘rinlari

Provectus

Associate Forward Deployed Engineer at Provectus (Hybrid)

Provectus

Help Provectus clients put Claude, agentic systems, and production AI workflows to work. Learn how client teams operate and deliver evaluated solutions on AWS.

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