Job description

JOB DESCRIPTION

Top 5 Skills:

End-to-End Edge AI Solution Architecture Practical experience designing solutions across edge devices, compute platforms, operating systems, AI runtimes, applications, cloud services, connectivity, security, and device management.
AI Models and Inference Optimization

Strong understanding of foundation models, LLMs, vision and multimodal models, model selection, fine-tuning, quantization, compression, hardware acceleration, and accuracy–latency–power–cost trade-offs.

Agentic AI Systems

Hands-on knowledge of agents, tool use, orchestration, retrieval-augmented generation, context and memory management, workflow automation, guardrails, evaluation, observability, and human-in-the-loop design.

Solution Development and Production Deployment Demonstrated experience building prototypes and production solutions using Python or C/C++, AI frameworks, APIs, containers, CI/CD, cloud-edge integration, telemetry, testing, and lifecycle management.
Edge Platform and Hardware–Software Integration Ability to evaluate and integrate CPUs, GPUs, NPUs and accelerators with SDKs, drivers, frameworks, sensors, and applications, including profiling and optimizing performance, power, thermal limits, reliability, and scalability.

Required Education & Required Years of Experience:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related technical field.

• 4+ years of Product Management or related work experience.