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.
- 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.What you will gain :
Be part of a pioneering team shaping the future of AI and edge computing.Work on innovative projects that solve real-world challenges.Opportunity to grow with a dynamic, forward-thinking company.Competitive salary, benefits, and a collaborative work environment.ref : hirist.tech)