Silicon Platform Infrastructure Engineer

5 - 17 years

13 - 17 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Description

Silicon Platform Infrastructure Engineer
About the Role
We are seeking a highly skilled Infrastructure Engineer to join our team and help us build the next-generation Platform around Silicon design. Our goal is to build solutions that provide our customers and partners with an experience that allows them to obtain the highest insights from silicon design knowledge. In this role, you will be involved in various aspects of infrastructure, including natural language processing, vector databases, knowledge graphs, machine learning pipelines, model training and inference, semantic search optimization, retrieval-augmented generation and multi-modal AI deployments. You will also work directly with customers at all stages to gather requirements and improve deliverables based on feedback. This is an exciting opportunity to work in a dynamic environment, that involves interacting with our engineering teams from design and verification to performance. Security is a crucial component as we build models from the ground up! If you are an innovative problem solver with a deep passion for infrastructure and machine learning technologies, and love building things from the ground up, we want to hear from you! As our mission goes, we are committed to offering "Freedom to Innovate Compute". Join us in this mission to accelerate your impact to the larger industry.
More about us
MIPS is well-known as a microprocessor pioneer, having led the way in RISC-based computing to enable faster and more power efficient semiconductors for a wide range of applications from consumer electronics to networking and communications. More than 30 years after the introduction of the original MIPS RISC architecture, MIPS processors have shipped into billions of consumer and enterprise products. Today, MIPS is once again leading a RISC revolution as we build on our deep roots to accelerate the RISC-V architecture for high-performance applications. We are focused on delivering our first RISC-V products, the MIPS eVocore processors, which provide a new level of scalability for high-performance heterogeneous computing. Because of our RISC heritage, deep engineering expertise, and proven technologies, MIPS can accelerate development and deployment of RISC-V based solutions. At MIPS, you will be a member of a fast-growing team of technologists that are creating the industry`s highest performance RISC-V processors. At MIPS we provide meaningful benefits programs and products to our associates and their families. MIPS offers a competitive benefits package that includes medical, dental, vision, retirement savings, and paid leave.
Responsibilities
  • Natural language processing and semantic understanding for technical documentation
  • Vector database development and management for IP knowledge retrieval
  • Machine learning pipeline development for PyTorch, TensorFlow and other relevant frameworks on GPU and cloud environments
  • Use AI monitoring tools to analyze and optimize models, through MLOps platforms and performance tuning
  • Code-review complex AI model contributions in any of these areas
  • Interact with architecture and silicon design teams to implement our next AI platform provide inputs and drive architectural decisions based on user query needs
  • Help maintain the documentation and reference implementations that our customers rely on
  • Work with customers to enable rapid integration of their IP queries for evaluation and development
Ideally, you`ll have
  • Strong experience with Python and machine learning frameworks
  • Knowledge of AI platform concepts (e.g. transformers, embeddings, fine-tuning, model deployment)
  • Experience developing AI inference pipelines or training workflows in cloud environments and containerized platforms
  • Proven experience with large language models on different cloud architectures (multi-modal experience would be great!)
  • Experience with Git, Docker, ML pipelines and model automation scripting
  • Experience with vector databases, RAG systems, knowledge graphs, prompt engineering or AI platform optimization
  • Experience working with platform architecture and engineering teams
  • Strong communication, collaboration, and listening skills
You may also have
  • Familiarity with AI-native technologies. Knowledge of different AI Platforms (e.g. OpenAI, Anthropic, Hugging Face)
  • Experience working with MLOps and model automation tools
  • Experience with retrieval-augmented generation (e.g. LangChain, Llama Index, or custom RAG architectures)

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