Neuronetwork System Engineer

TETRAMEM INC; San Jose (CA); On-site; USD 110,000 - 250,000; Full time

Job summary

TetraMem is redefining AI with in-memory computing, delivering efficient edge-to-data-center solutions using RRAM tech. Our team drives innovation, enabling advanced ML for edge devices and data centers alike.

We seek a senior ML/embedded engineer to develop lightweight models, optimize deployment on FPGA/ASIC, and mentor junior engineers while advancing state-of-the-art techniques for power and latency improvements.

Qualifications

• 5+ years of experience or PhD in Computer Science, Electrical Engineering, or related fields.
• Strong experience in machine learning with a focus on edge AI and lightweight model deployment.
• Proficiency in ML frameworks such as PyTorch, TensorFlow, JAX.
• Programming with C/C++, Python and ML model optimization.

Responsibilities

• Develop, optimize, and deploy lightweight ML models for edge AI applications, especially audio.
• Implement and optimize ML models on embedded platforms including FPGA and ASICs.
• Collaborate with hardware and software teams to integrate ML models into production systems.
• Research state-of-the-art ML techniques to improve efficiency, latency and power.
• Improve inference efficiency and model compression (quantization, pruning, distillation).
• Provide technical leadership and mentor junior engineers.
• Publish findings, present at conferences, contribute to open-source.

Skills

Edge AI

Lightweight models

Mentorship

Independent work

Education

PhD or MS in CS/EE

Tools

PyTorch

TensorFlow

JAX

C/C++

Python

Job description

At TetraMem, we are redefining the future of AI with our groundbreaking innovations in In-Memory Computing. Leveraging world-record multi-level RRAM technology, we deliver highly efficient solutions for AI computations, enabling superior performance and energy efficiency across applications ranging from edge devices to data centers. Our talented team of engineers and industry-leading executives drives this progress, making TetraMem a leader in advanced memory technologies.

If you are passionate about cutting-edge technology and thrive in a fast-paced, collaborative environment, TetraMem is the place for you. Join our global team to shape the future of AI computations and sustainable technology solutions while working at the forefront of innovation. Together, we can make a lasting impact.

Are you ready for new challenges and new opportunities?

Join our team!

• Develop, optimize, and deploy lightweight machine learning models for edge AI applications, particularly for audio processing.
• Implement and optimize ML models on embedded platforms, including FPGA and custom ASIC solutions.
• Work closely with hardware and software teams to integrate ML models into production systems.
• Research and implement state-of-the-art ML techniques to enhance model efficiency, latency, and power consumption for embedded AI applications.
• Improve inference efficiency and model compression techniques, including quantization, pruning, and knowledge distillation.
• Collaborate with cross-functional teams to drive innovation and contribute to the overall system architecture.
• Provide technical leadership and mentorship to junior engineers.
• Publish research findings, present at conferences, and contribute to open-source projects when applicable.

Requirements

• 5+ years of experience or PhD in Computer Science, Electrical Engineering, or related fields.
• Strong experience in machine learning, with a focus on edge AI and lightweight model deployment.
• Expertise in ML frameworks such as PyTorch, TensorFlow, JAX.
• Proficiency in programming languages such as C/C++, Python, and experience with ML model optimization.
• Ability to work independently and collaboratively in a fast-paced startup environment.
• Ability to provide mentorship, technical guidance, and career development support to junior engineers and interns.

Experience in one or more of the following areas considered a strong plus

• Understanding of ML compiler and runtime design.
• Experience working with tools such as Optimum, ONNX, TensorRT, TFLite/LiteRT, ncnn, or CoreML.
• Familiarity with hardware acceleration techniques.
• Experience in embedded system development.

Salary Range

$110,000 - $250,000 / year

TetraMem celebrates diversity and is committed to creating an inclusive environment for all employees. We are proud to be an Equal Opportunity Employer and welcome applicants from all backgrounds. Qualified candidates will receive consideration for employment without regard to race, color, religion, creed, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, marital status, medical condition, disability, genetic information, military or veteran status, or any other characteristic protected by applicable federal, state, or local law.

TetraMem is committed to providing reasonable accommodations to qualified applicants with disabilities throughout the recruitment process. Applicants requiring accommodation may contact Human Resources for assistance.