Job details
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ML Runtime Optimization Engineer
Applied Intuition is seeking a software engineer with expertise in optimizing ML models and deploying them on production-grade runtime environments and chips.
Skills
- Knowledge and experience with ML accelerators, GPU, CPU, SoC architecture and micro-architecture.
- Proficiency in C++ with a focus on high-performance computing.
- Working experience with Python.
- Experience in deep learning frameworks (e.g., PyTorch, JAX, ONNX, etc.)
Responsibilities
- Build the optimization pipeline for deploying ML models to real-world hardware.
- Build foundational libraries for analyzing and optimizing model performance, correctness, numerical stability, and cross-platform reproducibility.
- Collaborate with ML developers on model architecture details to reduce compiled latency and resource usage.
- Develop computational resource strategies for different customer needs.
Education
- B.Sc in Computer Science, Mathematics or a related field
Benefits
- Competitive salary range
- Opportunity to work with top global automakers and cutting-edge technology
- Full-time employment benefits
To read the complete job description, please click on the ‘Apply’ button
Applied Intuition Glassdoor Company Review
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Applied Intuition equips engineering and product development teams with software that makes it faster, safer, and easier to bring autonomy to market.
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DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
LOCATION
SALARY RANGE
$125,000/yr - $222,000/yr
EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
July 6, 2024
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