Role OverviewJoin our global team to shape the future of AI computations and sustainable technology solutions while working at the forefront of innovation. Develop, optimize, and deploy lightweight machine learning models for edge AI applications, particularly for audio processing.
What You Will Do
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.
Why It Might Be a Fit
If you are passionate about cutting-edge technology and thrive in a fast-paced, collaborative environment, TetraMem is the place for you. Provide technical leadership and mentorship to junior engineers, and collaborate with cross-functional teams to drive innovation and contribute to the overall system architecture.
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
Benefits
- Salary Range: $110,000 - $200,000 / year
- Equal Opportunity Employer
- Inclusive environment for all employees
- Reasonable accommodations for qualified applicants with disabilities
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