AI Systems Architect

About Vellex Computing

Vellex Computing is a venture-backed startup developing next-generation hardware to accelerate artificial intelligence and high-performance computing. Spun off from Stanford University and backed by the U.S. Department of Energy and National Science Foundation, we are building a new class of processor designed to overcome the power and latency bottlenecks of traditional digital chips. Our technology enables orders-of-magnitude efficiency gains for critical applications in edge AI, robotics, and industrial optimization.

The Role

We are seeking an AI Systems Architect to join our technical team. You will explore the frontiers of efficient machine learning by defining the architecture of our next-generation hybrid computing systems. You will work closely with our analog design and software teams to characterize analog and digital hardware systems. This is a high-impact role where you will bridge the gap between theoretical machine learning algorithms and physical hardware implementation to unlock ultra-low-power AI.

Your responsibilities will include:

• Analyze state-of-the-art AI hardware to identify fundamental bottlenecks in performance and energy efficiency.
• Design and simulate hybrid hardware-software architectures that leverage the best of both digital and analog computing.
• Develop proof-of-concept firmware and software to validate architectural decisions on embedded platforms.
• Collaborate with analog ASIC designers to define the requirements and interfaces for future hardware generations.

• Education: MS or PhD in Computer Engineering, Electrical Engineering, or Computer Science. We value relevant academic research or industry experience in computer architecture, hardware-software co-design, or embedded machine learning.
• Technical Skills: Deep understanding of computer architecture (memory hierarchies, data flow in GPUs/NPUs) combined with a solid grasp of ML mathematics (training, backpropagation, optimization). Strong proficiency in C/C++ for embedded environments and defining hardware interfaces is essential.
• Tool Proficiency: Experience with standard ML frameworks (e.g., PyTorch, TensorFlow) and performance profiling tools.

• Compensation: Competitive salary and equity package.
• Flexible Work: Hybrid model based in Delhi with flexible hours to accommodate international collaboration.
• First Principles Thinking: We love physics. We believe that by breaking problems down to their fundamental truths, even the most complex challenges can be solved.
• Share and Support: Our culture is collaborative. We are all about supporting each other through the ups and downs of startup life.
• Adapt and Excel: Agility is part of our DNA. We view mistakes as learning opportunities.

Vellex Computing is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you need assistance or accommodation during the application process, please let us know. Even if you don't meet every requirement, if you see yourself contributing to our team, we encourage you to apply!