Senior Cloud Systems Engineer providing Databricks administration for government/financial services. Responsible for platform management, security, and automation in a hybrid setup.
About the role
- AI Systems Architect at Vellex Computing developing hybrid computing systems to enhance AI performance. Engaging in collaboration between hardware and software teams to overcome technology bottlenecks.
Responsibilities
- 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.
Requirements
- 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.
Benefits
- 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.
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