Member of Technical Staff, Exceptional Generalist (Remote)

Inferact · Remote · Remote ·
Fully remoteFull-timeSenior5+ years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Fully remote (worldwide)
  • vLLM core development
  • CUDA & Distributed Systems
  • Visa sponsorship available
  • Async-first culture

Join Inferact to advance vLLM as the leading AI inference engine. You will solve high-leverage problems end-to-end, working autonomously on low-level optimizations and high-level orchestration. The team consists of vLLM creators focused on making inference faster and cheaper.

What you'll do

  • Optimize LLM and diffusion model serving across diverse hardware
  • Write low-level kernels to maximize inference engine speed
  • Design distributed systems for serving models at global scale
  • Build cluster management and deployment automation tools
  • Identify and solve critical infrastructure problems independently

What you'll need

  • Bachelor's degree or equivalent in computer science or engineering
  • Proven ability to drive projects to completion with minimal supervision
  • Strong asynchronous communication skills across time zones
  • Deep expertise in systems, GPU programming, or distributed systems
  • Proficiency in at least two areas: CUDA, Rust/Go/C++, or Python/PyTorch

Nice to have

  • Contributions to vLLM or major open-source ML projects
  • Experience with NVIDIA, AMD, TPU, or Intel accelerator platforms
  • Knowledge of quantization techniques and compiler technologies
  • Track record of improving system reliability at scale
  • Published technical blogs or impactful side projects

Stack

  • vLLM
  • CUDA
  • Triton
  • Rust
  • Go
  • C++
  • Python
  • PyTorch
  • Kubernetes

How you'll work

  • Fully remote position open to candidates worldwide
  • Timezone-flexible with overlap required for Pacific Time
  • Asynchronous work environment with proactive communication

What you get

  • Competitive salary and equity package
  • Visa sponsorship available on a case-by-case basis
  • Location-appropriate benefits including health coverage