

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).
משרות נוספות שיכולות לעניין אותך

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:
Develop and optimize the control stack, including locomotion, manipulation, and whole-body control algorithms;
Deploy and evaluate neural network models in physics simulation and on real humanoid hardware;
Design and maintain teleoperation software for controlling humanoid robots with low latency and high precision;
Implement tools and processes for regular robot maintenance, diagnostics, and troubleshooting to ensure system reliability;
Monitor teleoperators at the lab and develop quality assurance workflows to ensure high-quality data collection;
Collaborate with researchers on model training, data processing, and MLOps lifecycle.
What we need to see:
Pursuing Bachelor’s degree in Computer Science, Robotics, Engineering, or a related field;
Hands-on experience with deploying and debugging neural network models on robotic hardware;
Ability to implement real-time control algorithms, teleoperation stack, and sensor fusion;
Proficiency in languages such as Python, C++, and experience with robotics frames (ROS) and physics simulation (Gazebo, Mujoco, Isaac, etc.).
Experience in maintaining and troubleshooting robotic systems, including mechanical, electrical, and software components.
Physically work on-site in Shanghai.
Ways to stand out from the crowd:
Master’s or PhD’s degree candidates in Computer Science, Robotics, Engineering, or a related field;
Experience at humanoid robotics companies on real hardware deployment;
Experience in robot hardware design;
Demonstrated Tech Lead experience, coordinating a team of robotics engineers and driving projects from conception to deployment.

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:
Develop and optimize the control stack, including locomotion, manipulation, and whole-body control algorithms;
Deploy and evaluate neural network models in physics simulation and on real humanoid hardware;
Design and maintain teleoperation software for controlling humanoid robots with low latency and high precision;
Implement tools and processes for regular robot maintenance, diagnostics, and troubleshooting to ensure system reliability;
Monitor teleoperators at the lab and develop quality assurance workflows to ensure high-quality data collection;
Collaborate with researchers on model training, data processing, and MLOps lifecycle.
What we need to see:
Pursuing Bachelor’s degree in Computer Science, Robotics, Engineering, or a related field;
Hands-on experience with deploying and debugging neural network models on robotic hardware;
Ability to implement real-time control algorithms, teleoperation stack, and sensor fusion;
Proficiency in languages such as Python, C++, and experience with robotics frames (ROS) and physics simulation (Gazebo, Mujoco, Isaac, etc.).
Experience in maintaining and troubleshooting robotic systems, including mechanical, electrical, and software components.
Physically work on-site in Shanghai.
Ways to stand out from the crowd:
Master’s or PhD’s degree candidates in Computer Science, Robotics, Engineering, or a related field;
Experience at humanoid robotics companies on real hardware deployment;
Experience in robot hardware design;
Demonstrated Tech Lead experience, coordinating a team of robotics engineers and driving projects from conception to deployment.

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.

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).
משרות נוספות שיכולות לעניין אותך