AI/ML model development Engineer

KEY RESPONSIBILITIES: 

• Lead validation and optimization of multimedia drivers including audio, graphics, and video across Windows and Linux platforms.
• Apply AI/ML techniques to automate testing workflows, enhance performance benchmarking, and improve system diagnostics.
• Collaborate with cross-functional teams to integrate intelligent features into multimedia pipelines.
• Drive development and validation of critical features such as Bluetooth LE, Universal Audio Jack, and SDCA stack.
• Own WHQL certification processes for multimedia drivers in APU/dGPU environments.
• Mentor junior engineers and contribute to technical leadership within the team.

PREFERRED EXPERIENCE: 

• Strong expertise in multimedia driver stacks (Audio, Graphics, Video).
• Proven experience with Windows OS architecture, WHQL certification, and PC architecture.
• Hands-on experience with AI/ML model development, benchmarking, and performance tuning.
• Proficiency in Python or other scripting languages for automation.
• Familiarity with tools like TensorFlow, PyTorch, or scikit-learn.
• Excellent problem-solving and communication skills.

ACADEMIC CREDENTIALS: 

• Bachelors or Masters degree in Electrical Engineering, Mathematics, Computer Science, Engineering, or an equivalent