Manager, AI Compute & Stream

What you will do:

• Manage and oversee a team of Embedded, Electrical and Software engineers, providing guidance, mentorship, and performance evaluations.
• Develop and implement strategies to drive the efficient development, deployment and management of the Compute and Stream platforms.
• Ensure timely delivery of high-quality Compute & Stream box, with an emphasis on performance, scalability, and security in Time Critical and Regulated environment.
• Review and approve architectural designs, and documentation, ensuring adherence to best practices and company standards.
• Identify areas for improvement and optimization within the Design & Development process, implementing new tools and methodologies as needed.
• Keep up to date with the latest computing platforms and technologies, trends, and best practices, and ensure the team stays current.
• Manage vendor relationships and ensure effective communication between internal teams and external partners.

What you need:

Required

• A minimum of 13+ years of experience in Embedded, Electrical and Software development, with at least 5 years in a managerial / leadership role.
• Educational qualification of BS /MS or equivalent
• Expertise in managing large-scale AI compute clusters, including hardware capacity planning, and cost optimization
• Strong knowledge in analog, digital and power circuit designing and best practices.
• Experience in PCB design & development process and associated tools & functional verification
• Knowledge of Microcontroller, Microprocessor and FPGA based circuits design & development tools & bringing up board
• Deep understanding of AI architectures (deep learning, machine learning algorithms, neural networks)
• Good understanding of Product Security domain and associated tools used in hardware penetration testing.
• Proficiency in programming languages like Python, R, and C++
• Strong board level troubleshooting skills and understanding of hardware-software interaction
• Knowledge of high-performance computing (HPC) systems and distributed computing frameworks (Spark, Hadoop)
• Familiar with Embedded Systems / Products verification / validation

Preferred:

• Hands on with lab equipment like DSO, Logic analyzer, Function generator, etc.
• Understanding of data pipelines and data management practices
• Well versed with writing test plans and test cases document and exposure to test management tools.
• Strong problem-solving, analytical, and critical thinking skills.
• Excellent communication and interpersonal skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
• Proven track record of managing and delivering large-scale Hardware / Software projects on time and within budget.
• Prior experience in developing solutions for Medical Devices is desirable