This role pays less than
69%
of similar roles. Most pay
$162,000–$236,900
— the shaded band above.
At the midpoint, this role pays about
$164k
versus about
$199k
for comparable roles.
Based on 239 similar postings.
Employer
About Applied Materials
Applied Materials is the world''s largest supplier of equipment, services, and software for the semiconductor and display industries, enabling the production of chips and advanced displays. Industry: Semiconductor Equipment
Applied Materials currently has
56 open roles
on FindRole.
Listed pay typically runs
$135,750–$186,750
across 56 roles with salary data.
We are seeking a PhD or MS-level scientist or engineer to join our team in developing machine learning-based models using data from multi-dimensional high-performance computing simulations. The ideal candidate will work at the intersection of physics-based modeling and modern AI/ML methods, focusing on plasma and electromagnetic simulations to accelerate product development in the semiconductor equipment industry. Key responsibilities include building ML models, collaborating with domain experts to integrate physical constraints into model design, designing workflows for data ingestion and analysis, evaluating model accuracy and robustness, and optimizing models for performance on GPU-accelerated platforms. Required qualifications include a background in engineering or physical sciences, experience with machine learning frameworks like PyTorch, proficiency in Python-based scientific computing, and knowledge of numerical methods and physics-based modeling concepts. Experience with NVIDIA Physics NeMo, CUDA-aware workflows, and HPC environments is preferred.
Python
TensorFlow
PyTorch
scikit-learn
MATLAB
C++
signal processing
wireless communication
MIMO
OFDM
SDRs
GPU acceleration
embedded machine learning
real-time systems
adaptive modulation
beamforming
cognitive radio techniques
3GPP
IEEE 802.11/15
military waveforms