Automation Integration Lead - Silicon Solution Group jobs at Nvidia in China, Shanghai

What you'll be doing:

• Define clear vision and roadmap for productivity efficiency improvement solutions in alignment with business needs, and drive execution from design through delivery.

• Lead cross-function engineering teams on project deliverables commitment to streamline the system design and verification process and workflow.

• Partner with global automation and Infrastructure teams to design, build, and maintain large-scale, cloud-based and on-premises infrastructures.

• Stay hands-on technically, providing architectural guidance on complex infrastructure challenges.

• Cross-function Collaboration with ASIC, SW, System Design, Product, Security, and Operations teams to ensure reliability, scalability, and performance, fostering a culture of technical excellence, collaboration, and ownership.

• Continuously improve processes to ensure efficiency, reliability, and adaptability.

What we need to see:

• MS in EE, CE, CS, or Systems Engineering (or equivalent experience).

• 10+ years of large-scale software development experience and experience in framework architecture design.

• Strong skills in Python, Javascript.

• Experience in HTML5, CSS, NodeJS, or React

• Hands-on experience in AI/ML and data analysis, preferably with exposure to large-scale datasets.

• Good communication and organization skills, with a logical approach to problem-solving, and task prioritization skills.

• Effective experience working with global multi-functional teams, principals, and architects across organizational boundaries.

Ways to stand out from the crowd:

• Knowledge of System Design, CPU and/or GPU architecture.

• Background with large-scale full-stack development.

• Experience with software design flow management or project management.

• Demonstrable knowledge of Elastic Stack (Elasticsearch, Logstash etc) and Kafka.

• Knowledge of telemetry, observability, or monitoring frameworks (e.g., Kibana, Grafana, OpenTelemetry).

What you’ll be doing:

• Apply Machine Learning, Deep Learning techniques to overcome QA and Automation challenges for different NVIDIA Product lines

• Maintain and optimize new and existing automated tests with AI solution

• Design, implement and augment existing test frameworks with AI automation tools to reduce manual development efforts and make the current automation framework more productive and smart

• Work closely and collaboratively with other development and QA teams to gather automation requirements and review automation design

What we need to see:

• Pursuing Master or higher degree in computer science or electrical engineering with strong academics

• Good programming skills in python, proficient in applying OOP concepts and Data structures

• Good experience with using AI development tools for test plan creation, automation framework and test case development

• Have experience on using Cursor, MCP, Coderabbit for script generation/review

• Hands on experience in solving complex problems using AI technology or tools such as RAG, LLM/vLLM and AIGC

• Experience with large or complex applications and knowledge of code optimization and manipulation

• Demonstrates excellent communication skills, maintains a strong sense of initiative and motivation, and consistently upholds high standards for software quality

• Ability to work closely & collaboratively with other Development & QA teams especially across geographies

Ways to stand out from the crowd:

• Programming skills in C# is a plus

• Knowledge of Linux, Mac and Android is a plus

• Experience on Machine Learning Frameworks like Pytorch, Keras with TensorFlow, ONNX , and TensorRT is a plus

• Background of RL(Reinforce learning), or Meta-learning, or Life-long learning is a plus.

• Knowledge of SQL/NoSQL Database is plus

What you will be doing:

• Work proactively on GPU/SOC feature/IP bring-up and characterization including creating validation, tuning and optimization methodologies, develop proper test plan and test cases.

• Perform system level use case analysis/profiling and feature return-on-investment investigations, prototype and validation, design methods and control policies to bring the new technology into production and transcend product goals.

• Collaborate across System Architecture, DFT, ASIC, SW/FW, platform, validation, and production teams throughout the product life cycle on system-level architecture, design, productization, debugging, and deployment for complex silicon designs to improve quality, safety, and manufacturability.

• Design tools/script to automate product definitions, data collection, test case execution, and results analysis. Provide detailed data analysis of functionality, performance, and latency.

• Hands on actions on silicon bring-up, validation, and debug; Coordinate product level feature deployment to achieve high product quality at aggressive schedule.

What we need to see:

• BS or MS degree inMicroelectronics/ElectronicEngineering/Computer and Related Professionals.

• EE fundamentals, knowledgeable in digital design, computer architecture, power analysis, timing analysis, fault analysis, sampling, statistics, and scripting.

• Experience in one or more areas of high-performance circuit (Low power, PLLs and clocking, SerDes and high-speed IO, SRAMs, power delivery/regulation, security circuits etc).

• Good understanding of firmware/driver structures and their interaction with HW is a plus.

• Experience with Python script development, Windows and Linux OS is a plus.

• Hands-on lab experience with silicon bring up, frequency and power characterization, Tester to System correlation, lab tools (oscilloscopes, multimeters, DAQ).

• Excellent problem solving, collaborative, and interpersonal skills.

• Excellent verbal communication and written, presentation skills in both Chinese and English.

• Effective in a collaborative environment.

What you will be doing:

• Proactively dive into new feature and spec from Pre-Si and lead test strategies development, including functional validation methodology, characterization and tuning strategy, platform/component interoperability, test design, debug capability and tools/scripts, system, SLT, and manufacturing test requirement.

• Develop bring-up, validation, tuning, and productization plans.

• Build supportingtools/script/infrastructure withrelevant stakeholder teams.

• Continuously optimize validation and productization processes and methodologies to improve overall quality and efficiency.

• Proactively drive and identify opportunities and methods for test strategies and validation methodology optimization, efficiency improvement and innovation based on project learnings and challenging.

What we need to see:

• MS degree in EE/CE or equivalent experience.

• 6+ years in silicon bring-up,validation, performance/poweroptimization, issue debug, productization, or equivalent.

• Strong fundamentals indigital design, computer architecture, power analysis, timing, fault analysis, statistics, andIO interface, PLL and cloc ; Deep understanding of SW/firmware and HW/SW interaction.

• Excellent verbal communication and written, presentation skills.

• Hands-on lab experience (oscilloscopes, multimeters, logic analyzers) is preferred.

• Basic programming and scripting skills such as C/C++, Python, and Perl.Windows and Linux OS knowledge are plus.

• Excellent problem-solving, teamwork, and interpersonal skills, e

What you will be doing:

• New Chip bring-up and characterize next generation of GPU ASICs in post-silicon.

• Work closely with Chip designer and Board designer to ensure hardware meets design objectives and is ready of mass production.

• Help design tools to automate product definitions, data collection, test case execution, and results analysis.

• Analyze pre-production silicon in state-of-the-art process technologies for performance, power, yield, and quality to define the world’s fastest power-shipping products.

• Develop post-silicon methodologies to characterize silicon features, correlate silicon behavior with simulations and provide design feedback.

What we need to see:

• Master or PHD degree inMicroelectronics/ElectronicEngineering/Computer and Related Professionals.

• Excellent problem solving, data analysis, collaborative, and interpersonal skills.

• Experience with Power Integrity and Signal integrity simulation and correlation with SCH/PCB design

• Hands-on experience with silicon bring up, frequency and power characterization, Tester to System/Simulation correlation, lab tools (oscilloscopes, multimeters, DAQ).

• Experience with Perl, C/C++, Python and matlab development, Windows and Linux OS is a plus

• Knowledgeable in MOSFETs, LDO, DC/DC, filters, digital design, timing analysis, fault analysis, sampling, computer architecture.