ML Systems Engineer — Inference Acceleration
AragoIntelligent Automation company
Paris, FranceSenior
C4 Ventures
Earlybird Venture Capital
GenerativeIQ
Data & AI
About the role
TL;DR
Optimize AI model execution on Arago's custom accelerator, focusing on inference acceleration.
- •Arago is seeking an ML Systems Engineer to optimize AI model execution on their custom accelerator.
- •You will work on kernels, model execution, multi-device distribution, runtime, and inference serving, shaping the software stack around Arago's hardware capabilities.
- •Key Responsibilities Analyze AI workloads to identify bottlenecks on Arago's accelerator.
- •Develop and optimize custom kernels and execution strategies.
- •Design efficient model mappings across multiple Arago devices.
- •Develop advanced inference-serving techniques.
- •Build performance analysis infrastructure.
- •Requirements Strong experience in high-performance ML inference, GPU/accelerator programming, or ML systems engineering.
- •Deep understanding of computer architecture and performance bottlenecks.
- •Experience with low-level programming environments like CUDA or Triton.
- •Strong C++ and Python skills.
Required skills
PythonC++Computer VisionNLPLLMs
Domain expertise
deeptechai
Benefits & perks
Competitive cash compensation, Meaningful stock option plan, Healthcare coverage, Pension contributions, Professional development support, 25 days of PTO
Tech stack
PythonC++