
AI Systems Architect
4 days ago
About this Role
We are seeking an experienced professional with a strong background in software architecture to lead the development of cutting-edge AI systems. Your expertise will be invaluable in collaborating with product managers, software engineers, and hardware engineers to ensure alignment of technical decisions with business objectives.
Key Responsibilities
- Design and implement scalable, reliable, and high-performance software systems for AI applications.
- Collaborate with product managers, software engineers, and hardware engineers to ensure alignment of technical decisions with business objectives.
- Maintain architectural best practices, guidelines, and documentation for the 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.
- Provide technical leadership to the engineering team and foster a culture of collaboration and innovation.
- Participate in code reviews, design discussions, and technical roadmap planning to ensure high-quality delivery.
Necessary Qualifications
To succeed in this role, you will need:
- 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
Prior experience with:
- Ai frameworks (e.g., TensorFlow, PyTorch) and understanding of Ai/Ml pipelines.
- Hardware accelerators (e.g., GPUs, NPUs) and optimization for low-power Ai inferencing.
This is an excellent opportunity for a talented software architect to join our team and contribute to the development of innovative AI solutions.
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