Software Architect - Edge Computing Applications (10-17 yrs)

About the Role

We are seeking an experienced Software Architect with a strong background in designing and implementing scalable, high-performance systems. As a Software Architect you will play a key role in shaping the technical direction of our products, defining architectural best practices, and collaborating closely with cross-functional teams to deliver state-of-the-art AI-driven solutions.

This is what you are responsible for

- Lead the architectural design and implementation of scalable, reliable, and high-performance software systems for AI, AI Compiler and edge computing applications.

- Collaborate with product managers, software engineers, and hardware engineers to ensure alignment of technical decisions with business objectives.

- Define and maintain architectural best practices, guidelines, and documentation for the software engineering team.

- Evaluate and recommend technologies, frameworks, and tools to optimize the performance and scalability of our solutions.

- Ensure that all software architecture aligns with security, performance, and reliability standards.

- Mentor and provide technical leadership to the engineering team, fostering a culture of collaboration and innovation.

- Participate in code reviews, design discussions, and technical roadmap planning to ensure high-quality delivery.

- Drive continuous improvement in system architecture and development processes to support the company's growth and evolving requirements.

Necessary qualifications :

- 8+ years of experience in software architecture, system design, and development of scalable, distributed systems.

- Proven experience in designing edge-based solutions, compilers, runtime, firmware.

- Strong programming skills in modern languages such as Python, C++ or similar language.

- Expertise in designing high-performance, low-latency systems for AI/ML workloads.

- Strong understanding of software development methodologies, DevOps practices, and CI/CD pipelines.

- Familiarity with hardware-software co-design, embedded systems, and edge computing solutions is a plus.

- Excellent problem-solving and communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.

Preferred qualifications :

- Experience with AI frameworks (e.g., TensorFlow, PyTorch) and understanding of AI/ML pipelines.

- Knowledge of hardware accelerators (e.g., GPUs, NPUs) and optimization for low-power AI inferencing.

- Experience working in a fast-paced, startup environment is a plus.