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