Neuronetwork System Engineer at TetraMem — San Jose, USA | Base Career

Full Job Posting

Responsibilities

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.

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. To ensure a fair, consistent, and efficient hiring process, all candidates must apply through TetraMems official ClearCompany Applicant Tracking System (ATS). Applications submitted through the ATS allow our hiring team to evaluate candidates using a standardized process and ensure timely communication throughout the recruitment process. To promote equal consideration for all applicants, applications submitted outside of the ClearCompany ATS, including direct emails, LinkedIn messages, or unsolicited submissions to employees, may not be reviewed or considered. We encourage all interested candidates to apply through the official TetraMem Careers page.

Neuronetwork System Engineer

Job Fit Check

Full Job Posting

Responsibilities

Requirements

Experience

Apply for this job in 1 click

More jobs at TetraMem

Analog/Mixed-Signal Verification Engineer

Analog/Mixed-Signal IC Design Engineer

Application Engineer

Analog Layout Engineer

ASIC/SoC Design Verification Engineer

ASIC RTL/SoC Design Engineer

Senior Machine Learning Engineer

Functional Testing Engineer