Job Description
Job Description :
Do you have the right skills and experience for this role Read on to find out, and make your application.
SiMa.ai is seeking an outstanding researcher working on efficient deep learning to join the MLSoC Platform Architecture team.
We are passionate about pushing the boundaries of Edge AI with power efficient inferencing. We are particularly interested in Post Training Quantization and Pruning techniques applied to quantization of CNN and Transformer based Neural Networks for inference primarily on int8 Machine Learning Accelerator (MLA) and on mixed precision MLA.
You will work with an amazing team of engineers that pushes the boundaries and your contributions will have a chance to create a real impact in our products.
Sr. Principal Engineer Key Responsibilities (including but not limited to) :
• Research, design and implement novel methods to improve PTQ techniques for both int8 and mixed-precision (int8 + bf16) quantization.
• Collaborate with other team members to understand the limitations of our Machine Learning Accelerator and adapt your strategy based on their input.
• Prototype PTQ techniques using Fake Quantization in PyTorch, as well as modify internal tools to implement quantized operators to verify accuracy.
• Help define timeline and deliverables and be accountable for them.
Required Background :
• PhD in electrical engineering or computer science with 6+ years research numerical methods and tools in efficient Neural Network inferencing.
• Proficient in techniques like HAWQ2, and RL based methods for Mixed-precision quantization.
• Proficient in state-of-the-art PTQ techniques like Optimum Brain Compression for LLMs.
• Proficient with PyTorch or other Quantization exploration frameworks like Model Compression Toolkit.
• Excellent programming skills in C++, Python.
Highly desirable :
• Co-authored internal technical presentations, research papers and disclosures / patents on key technical topics.
• Noteworthy technical contributions, which were multi-disciplinary and in collaboration with other cross-functional teams.
Personal Attributes :
You have a can-do attitude, are execution and results focused, highly accountable, a strong team player, with high integrity, and have a track record of innovation.
Capable of handling difficult conversations in a professional manner. You are self motivated and have a great desire to have a significant impact on products that provide value to customers.
EEO Employer : SiMa is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, ****** orientation, gender identity, national origin, disability, Veteran status or any other protected classification.
J-18808-Ljbffr
Last updated : 2026-0+-05
Do you have the right skills and experience for this role Read on to find out, and make your application.
SiMa.ai is seeking an outstanding researcher working on efficient deep learning to join the MLSoC Platform Architecture team.
We are passionate about pushing the boundaries of Edge AI with power efficient inferencing. We are particularly interested in Post Training Quantization and Pruning techniques applied to quantization of CNN and Transformer based Neural Networks for inference primarily on int8 Machine Learning Accelerator (MLA) and on mixed precision MLA.
You will work with an amazing team of engineers that pushes the boundaries and your contributions will have a chance to create a real impact in our products.
Sr. Principal Engineer Key Responsibilities (including but not limited to) :
• Research, design and implement novel methods to improve PTQ techniques for both int8 and mixed-precision (int8 + bf16) quantization.
• Collaborate with other team members to understand the limitations of our Machine Learning Accelerator and adapt your strategy based on their input.
• Prototype PTQ techniques using Fake Quantization in PyTorch, as well as modify internal tools to implement quantized operators to verify accuracy.
• Help define timeline and deliverables and be accountable for them.
Required Background :
• PhD in electrical engineering or computer science with 6+ years research numerical methods and tools in efficient Neural Network inferencing.
• Proficient in techniques like HAWQ2, and RL based methods for Mixed-precision quantization.
• Proficient in state-of-the-art PTQ techniques like Optimum Brain Compression for LLMs.
• Proficient with PyTorch or other Quantization exploration frameworks like Model Compression Toolkit.
• Excellent programming skills in C++, Python.
Highly desirable :
• Co-authored internal technical presentations, research papers and disclosures / patents on key technical topics.
• Noteworthy technical contributions, which were multi-disciplinary and in collaboration with other cross-functional teams.
Personal Attributes :
You have a can-do attitude, are execution and results focused, highly accountable, a strong team player, with high integrity, and have a track record of innovation.
Capable of handling difficult conversations in a professional manner. You are self motivated and have a great desire to have a significant impact on products that provide value to customers.
EEO Employer : SiMa is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, ****** orientation, gender identity, national origin, disability, Veteran status or any other protected classification.
J-18808-Ljbffr
Last updated : 2026-0+-05
💡 Quick Summary
Seeking a career-building opportunity? The Principal software engineer position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in San Francisco offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
