Highly Skilled Machine Learning Architect
3 weeks ago
Rivian is revolutionizing the automotive industry with innovative electric adventure vehicles. We're seeking a highly skilled Machine Learning Engineer to join our Platform Architecture team.
About RivianWe're committed to protecting the environment for future generations and strive to continuously challenge what's possible in our field.
In this role, you'll work closely with cross-functional teams to develop infrastructure that enables state-of-the-art machine learning models used in ADAS systems to run efficiently on our SoC. This infrastructure will facilitate HW-SW codesign and enable the development of efficient building blocks for state-of-the-art machine learning models.
Responsibilities- You'll take various versions of ADAS perception models (development, production, prototype) and map them to SoC; this involves graph and operator transformations and making the new graph perform efficiently on SoC.
- Create/Improve existing QAT infrastructure.
- Quantize models to different data precisions (4b, 8b, 16b) while preserving originally FP32 accuracy.
- Compress models using structured sparsity schemes.
- Bachelor's degree in Electrical Engineering, Computer Science, or relevant field.
- Expertise or prior work experience in one of the following areas: Quantization of Neural Networks, Sparsity of Neural Networks, Training of Neural Networks.
- Exposure to Transformers and LLMs is a plus.
- Experience with ADAS specific workload dealing with Nuscenes, Waymo datasets is a plus.
- Demonstrate proficiency in C++, Python, Numpy, PyTorch framework.
- Excellent debugging and analytical skills, written and verbal communication skills, and a strong team player.
The estimated salary range for this position is $206,500 - $258,100 per year, depending on experience, location, and other factors permitted by law.
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