Embedded Engineer

About Literal Labs:

Literal Labs is a deep tech startup revolutionizing the field of artificial intelligence by developing a new, logic-based approach to AI algorithms. We are at the forefront of creating energy-efficient, explainable AI models that are orders of magnitude faster than traditional neural networks. Our mission is to build responsible and sustainable AI that can be deployed on the edge and in resource-constrained environments.

About The Role:

We are seeking an Embedded Engineer to join our growing team and play a key role in developing and optimizing our AI models for edge deployment. In this role, you will be responsible for designing, implementing, and testing low-power AI solutions for resource-constrained environments. You will work closely with our hardware and software teams to ensure our models can run efficiently on embedded systems.

Key Responsibilities:

• Design and implement AI models for embedded systems
• Optimize models for low-power consumption and minimal resource usage
• Develop and test embedded software using C/C++
• Collaborate with hardware teams on system integration
• Ensure model performance meets requirements for edge deployment
• Troubleshoot and resolve hardware-software integration issues
• Stay up-to-date with the latest embedded systems technologies

Required Skills and Qualifications:

• Proven experience in embedded systems engineering
• Expertise in C/C++ programming for embedded platforms
• Understanding of low-power microcontrollers and ARM architecture
• Experience with TinyML and similar technologies
• Familiarity with assembly optimization techniques
• Knowledge of embedded security best practices
• Strong understanding of real-time operating systems
• Excellent problem-solving skills and attention to detail
• Bachelor’s degree in Computer Engineering, Electronics, or related field