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AI Research Engineer (Kernel & Inference Optimization)
Summary by AIEngineer.careers
AI Research Engineer (Kernel & Inference Optimization) is a AI Research Engineer role (full-time). with Lever, Inc. in REMOTE, WORLDWIDE. Compensation shown: $130K–$184K (est.). Imported listing (source: baan24.nl). Apply on the employer's site (baan24.nl).
Imported listing (source: baan24.nl) · Apply on baan24.nl
REMOTE · WORLDWIDE
$130K–$184K (est.)
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from baan24.nl
Lever, Inc. is seeking an AI Research Engineer to focus on kernel and inference optimization. The role involves improving model-serving architectures, reducing latency, increasing throughput, and developing GPU kernels. Expertise in Metal Shading Language (MSL), low-level optimization, and inference engines is required. This is a remote-first position based in Amsterdam, Netherlands.
Responsibilities
- Optimize model-serving architectures for latency and throughput
- Develop and optimize GPU kernels using Metal Shading Language (MSL)
- Work on low-level optimization of inference engines
- Collaborate with research and engineering teams to deploy efficient AI models
Requirements
- Expertise in Metal Shading Language (MSL)
- Experience with low-level optimization and GPU kernels
- Familiarity with inference engines and model-serving architectures
- Strong background in AI research or engineering
Tech Stack
GPU KernelsInference EnginesLow-level Optimization
LI
Lever, Inc.
Denver · US · 203+ employees
Lever, Inc. is a recruiting-software company and one of Employ’s applicant-tracking-system offerings. Its platform combines applicant tracking with candidate relationship management so talent-acquisition teams can source, nurture, engage, and hire candidates efficiently.
