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Micron Software
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Staff Data Scientist - Silicon Design Verification

Staff Data Scientist - Silicon Design Verification

Micron Software

8 - 13 years

10 - 15 Lacs

Hyderabad

Posted:3 weeks ago| Platform:

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Skills Required

Automation Semiconductor Simulation Verilog Firmware UVM SQL Python Recruitment

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are looking for a Staff Data Scientist to join our Silicon Verification Data Science team. In this role, you will use advanced data science, AI/ML techniques to drive efficiency, automation, and innovation in Silicon Design Verification. You will work closely with hardware engineers, verification teams, and software developers to optimize verification workflows, improve coverage, and accelerate time-to-market for cutting-edge semiconductor products.

As a Staff Engineer/ Data Scientist at Micron, you will

Develop AI and Data Science based solutions to build state-of-the-art solutions for silicon design verification and firmware validation.
Identify patterns, anomalies, and inefficiencies in silicon design verification processes and develop solutions to address these gaps.
Automate data pipelines and develop tools to support regression analysis, bug triaging, and root cause analysis.
Partner with cross-functional teams to integrate data-driven solutions into EDA tools and verification frameworks.
Drive technical innovation and culture within the team by participating in generating IP and inspiring team to innovate.
Participate in end-to-end project scoping and stakeholder discussions to determine technical merit of the idea, vale proposition and resource requirements.
Interact with subject matter experts to define scope, identify risks, deploy scalable solutions & lead multiple projects execution
Continuously learn as we'll as mentor team on recent progress on semiconductor and AI/ML domain.

Key requirements:

Education: masters or PhD in Computer Science, Electrical Engineering, or a related field.
Experience: 8+ years in data science and machine learning with at least 2 years in semiconductor verification environment

Technical Skills
- In-depth understanding of Statistics, classical ML and deep learning, and the mathematics and formulation behind these algorithms.
- we'll versed with text processing, various methodologies in data embedding, NLP techniques and recent advancements in GenAI and LLMs.
- Hands-on experience with optimization and reinforcement learning based algorithms.
- Solid understanding of data engineering pipeline for deployment and MLOps.
- Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks (eg, TensorFlow, PyTorch) and data visualization tools (eg, Tableau, Power BI).
- Strong understanding of digital design and verification concepts (eg, RTL, UVM, coverage metrics, simulation).
- Experience with EDA tools (eg, Synopsys VCS, Cadence Xcelium, Mentor Questa) and verification flows is a great plus.
Preferred Qualifications:

Knowledge of hardware description languages (Verilog/SystemVerilog).
Experience with CI/CD pipelines and MLOps practices.
Patents or publications in relevant fields.

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Staff Data Scientist - Silicon Design Verification