Founding Inference Engineer, Apple Silicon Platform

Mount Thor

San Francisco (CA)

Presencial

USD 240.000 - 320.000

Jornada completa

14 días+

Una candidatura completa en un minuto

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Descripción de la vacante

Mount Thor is hiring a founding inference engineer to build a production inference platform on Apple Silicon. You will own the stack from GPU kernels and model execution to distributed scheduling, networking, and customer-facing serving systems.

You will define the architecture, implement performance-critical code, and shepherd the system from deployment to production operation, ensuring low latency, high throughput, and reliable service for customers.

Formación

  • Production inference engines experience and ownership of performance-critical code.
  • Strong systems programming skills in C++ or Rust with Python proficiency.
  • Practical understanding of transformer inference, attention, and quantization.
  • Experience with GPU programming, memory hierarchies, and performance analysis.
  • Strong distributed-systems fundamentals including scheduling and networking.
  • Experience bringing software from architecture to production deployment.

Responsabilidades

  • Build and optimize the inference stack from kernels to serving APIs.
  • Design for Apple Silicon, profiling on real hardware and optimizing memory usage.
  • Build distributed inference and its communication layer across machines.
  • Own inference scheduling, routing, and autoscaling to meet latency targets.
  • Ship a production inference service with observability and safe releases.

Conocimientos

C++
Rust
Python
Systems programming
Distributed systems

Herramientas

MLX
llama.cpp
vLLM
TensorRT-LLM

Descripción del empleo

Mount Thor is hiring a founding inference engineer to build a production inference platform on Apple Silicon. You will own the stack from GPU kernels and model execution to distributed scheduling, networking, and customer-facing serving systems.

You will define the architecture, implement performance-critical code, and shepherd the system from deployment to production operation, ensuring low latency, high throughput, and reliable service for customers.

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