System Software Engineer, Conversational AI
Are you passionate about driving innovation in the field of conversational AI? Do you thrive in a fast-paced and dynamic work environment? If so, we have an exciting opportunity for you as a System Software Engineer at NVIDIA! As a part of our Conversational AI team, you will play a crucial role in the development and implementation of cutting-edge technologies that power our intelligent virtual assistants. We are looking for a highly skilled and motivated individual with a strong background in software engineering and a deep understanding of AI and machine learning concepts. If you have a passion for pushing the boundaries of what's possible, we want to hear from you!
- Develop and implement cutting-edge technologies for conversational AI systems.
- Collaborate with cross-functional teams to design, develop, and test software solutions.
- Conduct research and stay up-to-date on the latest advancements in AI and machine learning.
- Identify and troubleshoot technical issues in a timely manner.
- Drive innovation and provide creative solutions to improve the performance and functionality of our virtual assistants.
- Write clean, efficient, and well-documented code.
- Participate in code reviews and provide constructive feedback to team members.
- Stay organized and maintain project timelines to meet deadlines.
- Communicate effectively with team members and stakeholders to provide updates on project progress.
- Continuously improve and optimize existing software systems.
- Stay informed about industry trends and make recommendations for improvement.
- Collaborate with product and UX teams to develop user-friendly and intuitive interfaces.
- Conduct performance and scalability testing to ensure high-quality and efficient software solutions.
- Troubleshoot and resolve technical issues reported by users or clients.
- Maintain and update technical documentation for future reference.
Strong Programming Skills: A System Software Engineer, Conversational Ai At Nvidia Should Have A Deep Understanding Of Programming Languages Such As C++, Java, And Python. They Should Be Able To Write Efficient And Optimized Code For Complex Algorithms And Data Structures.
Experience With Conversational Ai Technologies: The Ideal Candidate Should Have Experience Working With Conversational Ai Technologies Such As Natural Language Processing (Nlp), Speech Recognition, And Machine Learning. They Should Be Able To Design And Develop Ai-Based Solutions For Conversational Interfaces.
Knowledge Of System Software Development: The Role Requires A Strong Understanding Of System Software Development, Including Operating Systems, Device Drivers, And Memory Management. The Candidate Should Have Experience With Low-Level Programming And Debugging Techniques.
Familiarity With Nvidia Hardware And Software: As A System Software Engineer At Nvidia, Familiarity With The Company's Hardware And Software Products Is Essential. This Includes Nvidia Gpus, Cuda Programming, And Deep Learning Frameworks Like Tensorrt And Cudnn.
Communication And Teamwork Skills: Working At Nvidia Requires Strong Communication And Teamwork Skills. The Candidate Should Be Able To Collaborate With Cross-Functional Teams, Communicate Complex Technical Concepts To Non-Technical Stakeholders, And Work Effectively In A Fast-Paced And Dynamic Environment.
Software Development
Data Analysis
Machine Learning
Deep Learning
Algorithm design
Natural language processing
Linux operating system
Programming Languages
Neural Networks
Parallel Computing
Speech Recognition
Communication
Conflict Resolution
Customer Service
Leadership
Time management
creativity
Teamwork
Adaptability
Problem-Solving
Empathy
According to JobzMall, the average salary range for a System Software Engineer, Conversational AI in Bengaluru, Karnataka, India is between ₹1,200,000 to ₹2,000,000 per annum. This roughly translates to $16,000 to $26,000 in USD. However, the exact salary may vary depending on the experience, skills, and company the individual is working for.
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NVIDIA Corp. designs and manufactures computer graphics processors, chipsets, and related multimedia software. The company operates through two segments: Graphics Processing Unit and Tegra Processor. The Graphics Processing Unit segment includes sales of the company's GeForce discrete and chipset products that supports desktop and notebook PCs plus license fees from Intel and sales of memory products. The Tegra Processors segment provides processors that deliver superior visual and multimedia experience on tablets, smart phones and gaming devices while consuming minimal power.
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