Edge AI Specialist

Requisition Code:

Role Summary

The Edge AI Specialist will be responsible for designing, developing, optimizing, and deploying AI/ML models on edge devices for automotive systems. The role focuses on enabling real-time, low-latency, energy-efficient intelligence directly on hardware platforms, enhancing product performance, privacy, and responsiveness without dependency on cloud processing.

This role will collaborate closely with AI/ML, embedded systems, and hardware engineering teams to deliver production-grade Edge AI solutions.

Key Responsibilities

Edge AI Development

• Design, implement, and deploy AI/ML models on edge devices for automotive applications.

• low-power, real-time, and latency-sensitive environments

• TensorFlow Lite, PyTorch Mobile, or ONNX Runtime

Model Optimization & Deployment

• Perform model quantization, pruning, and acceleration techniques.

• Optimize inference performance for ARM-based SoCs and specialized automotive chipsets.

• Benchmark model speed, memory usage, and performance trade-offs.

Embedded & Hardware Integration

• Work with hardware teams to ensure model compatibility with:

  • ARM-based SoCs

  • Qualcomm SA8295

  • Other automotive-grade processors

• Integrate AI models into embedded software stacks.

Software Development

• Python, C, and C++

• Build pipelines to test, validate, and iterate models on edge hardware.

• Ensure secure, robust, and scalable software integration.

Testing & Validation

• Conduct performance testing under real-world automotive constraints.

• Validate inference accuracy, latency, and thermal/power limitations.

• Debug and troubleshoot hardware-software integration issues.

Cross-Functional Collaboration

• Work with AI, product, and embedded engineering teams for end-to-end execution.

• Support product roadmap and feature enhancements driven by Edge AI capabilities.

Skills & Competencies

Technical Skills

• Edge AI development and deployment

• Deep learning / Machine learning

• TensorFlow Lite, PyTorch, ONNX

• ARM-based processors, Qualcomm chipsets (e.g., SA8295)

• Python, C, C++

• Model optimization (quantization, pruning, compression)

• Embedded systems familiarity

Soft Skills

• Analytical problem-solving

• Collaboration & communication

• Innovation mindset

• Ability to work in fast-paced R&D environments

Education

• Bachelors Degree

Experience

• 4 to 6 years

Compensation

• 10,00,000 - 23,00,000 per annum