Embedded Engineer - Compute Platform for AI

We seek highly skilled and motivated Embedded engineers to join our growing team. You will have a chance to build a next-gen compute platform for unleashing the full potential of Gen AI and Large Language Models while collaborating with tech experts from globally recognized companies. The ideal candidate will have a strong interest and relevant experience in high-performance software, hardware acceleration techniques, (ML) compiler development or a similar background.

How you'll contribute:

• Implement advanced compiler techniques to enhance the performance and efficiency of ML models
• Develop and maintain tools for the efficient compilation and execution of ML models
• Conduct performance analysis and benchmarking to identify bottlenecks and areas for improvement
• Implement and optimize various kernels utilizing HW-specific instructions
• Document and present findings, optimizations, and improvements to stakeholders

Required Qualifications:

• Bachelor's or Master's degree in Electrical Engineering, Computer Science, or related field
• Proficiency in C/C++
• Willingness to work on low-level software
• Understanding of computer architecture
• Basic Python experience
• Experience with Git and TDD principle
• Strong analytical and problem-solving skills

Nice to have:

• Hands-on experience in writing SIMD and/or multi-threaded high-performance code, as well as target-specific optimizations
• Familiarity with any DSP architectures and hardware acceleration techniques is a plus
• Experience with performance profiling tools and methodologies
• Basic understanding of ML concepts
• Basic knowledge of Linear Algebra and matrix operations
• Understanding of transformer models used in large language models