Embedded Software Engineer - AI/ML Systems

Requirements

• Proven industry experience in researching, developing, and applying AI/ML solutions, including Generative AI, orchestrated workflows, and tools in production environments
• Proficiency and experience in embedded systems design and concurrent, real-time embedded software development using C/C++
• Bachelor's/Master's/PhD in Computer Science, Embedded Systems, Electrical/Electronic Engineering, or equivalent majors, or equivalent experience

Nice to Haves

• Strong proficiency in Python for AI/ML based applications
• Prior experience of working in a fast-paced, agile environment, with flexibility to pivot easily to support new user requirements
• Solid understanding of SoC architecture with particular emphasis on the HW/SW interfaces of high-speed communication subsystems
• Experience and understanding of data communication protocols over high-speed interfaces like PCIe
• Strong problem-solving and debugging skills
• Ability to communicate effectively, both written and verbal, with cross-functional teams
• Experience with emulation systems and virtual platforms
• Proficiency in CPU architectures e.g. different ARM models, RISC, etc.
• Strong English language skills (verbal and writing)

What You'll Be Doing

• Apply Generative AI to enhance next-generation embedded software and systems
• Collaborate with hardware and software teams to design, optimize, and develop solutions for inter-processor communication
• Utilize modern Generative AI frameworks to enhance high-performance real-time embedded software development
• Contribute to cutting-edge cellular technologies and leave a mark on the evolution of wireless embedded systems