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The Role
Design, develop, and optimize embedded software for AI-enabled devices. Integrate AI algorithms with hardware, improve system performance, validate and test AI features, document designs, maintain version control, and support deployment and troubleshooting of embedded AI systems.
Summary Generated by Built In
DescriptionAt Majestic Labs, we are seeking an Embedded Systems Software Engineer for AI who will design and optimize AI-based embedded systems. This role involves working with cross-functional teams to build innovative solutions that enhance our smart devices.
Responsibilities:
Responsibilities:
- Develop and maintain embedded software solutions for AI applications.
- Collaborate with hardware engineers to integrate AI algorithms into embedded systems.
- Optimize system performance and efficiency for AI features.
- Conduct testing and validation of AI-enabled embedded devices.
- Document software designs and maintain version control.
- Support deployment and troubleshooting of embedded AI systems.
- Bachelor's degree in Computer Science, Electrical Engineering, or a related field.
- Minimum of 3 years of experience in embedded systems development.
- Proficiency in programming languages such as C/C++ and Python.
- Experience with AI frameworks and tools like TensorFlow or PyTorch.
- Strong understanding of microcontrollers and real-time operating systems.
- Familiarity with version control systems, such as Git.
- Excellent problem-solving and communication skills.
Skills Required
- Bachelor's degree in Computer Science, Electrical Engineering, or a related field
- Minimum of 3 years of experience in embedded systems development
- Proficiency in C/C++
- Proficiency in Python
- Experience with AI frameworks such as TensorFlow or PyTorch
- Strong understanding of microcontrollers
- Strong understanding of real-time operating systems
- Familiarity with version control systems such as Git
- Excellent problem-solving and communication skills
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The Company
What We Do
Majestic Labs is reimagining AI infrastructure for the world’s most demanding workloads. Today, organizations are forced to overprovision expensive compute just to access the required memory their models need. We took a fundamentally different approach by pairing a massive amount of compute with 1000x the memory to create game changing improvements in performance, power and deployment efficiency. Our customers can literally replace racks of traditional AI infrastructure with a single Majestic server.
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