
Python Accelerated Computing Debugger Engineer
Welcome to the forefront of technology and innovation at NVIDIA! We are seeking a highly skilled Python Accelerated Computing Debugger Engineer to join our dynamic team. As a member of our team, you will have the opportunity to work on cutting-edge projects and collaborate with some of the brightest minds in the industry.We are looking for a passionate individual with a strong background in Python and experience in accelerated computing. As a Debugger Engineer, you will be responsible for developing and maintaining our debugging tools for our accelerated computing platforms. Your expertise in Python and your ability to analyze and troubleshoot complex issues will be crucial in ensuring the reliability and performance of our products.If you are a self-driven, detail-oriented individual with a love for problem-solving and a passion for pushing the boundaries of technology, we want to hear from you! Join us in shaping the future of accelerated computing at NVIDIA.
- Develop and maintain debugging tools for NVIDIA's accelerated computing platforms.
- Collaborate with team members to design and implement cutting-edge projects.
- Utilize expertise in Python to analyze and troubleshoot complex issues.
- Ensure the reliability and performance of NVIDIA's products through effective debugging processes.
- Stay up-to-date with industry trends and advancements in accelerated computing.
- Work closely with other engineers and departments to gather requirements and implement solutions.
- Actively participate in code reviews and provide constructive feedback.
- Research and implement new debugging techniques and tools to improve overall efficiency.
- Document debugging processes and tools for internal and external use.
- Contribute to the overall success of the team by sharing knowledge and expertise with colleagues.
- Manage and prioritize multiple tasks and projects to meet deadlines.
- Continuously strive for improvement and optimization of debugging processes.
- Communicate progress and issues effectively to team members and project managers.
- Proactively identify and address potential issues before they affect the product's performance.
- Maintain a high level of quality and attention to detail in all work produced.
In-Depth Knowledge Of Python Programming Language And Its Debugging Capabilities, Including Proficiency In Using Popular Debugging Tools Such As Pdb, Pycharm, Or Vscode.
Strong Understanding Of Gpu Architecture And Parallel Programming Concepts, With Experience In Developing Or Optimizing Accelerated Computing Applications Using Cuda Or Openacc.
Familiarity With Nvidia Hardware And Software Stack, Including Cuda Toolkit, Cudnn, Tensorrt, And Other Libraries Commonly Used In Deep Learning And High-Performance Computing Applications.
Experience In Debugging Complex Software Systems, Including Knowledge Of Performance Profiling, Memory Management, And Concurrency Issues.
Excellent Problem-Solving Skills And The Ability To Work Independently In A Fast-Paced Environment, With A Track Record Of Delivering High-Quality Code And Solutions On Tight Deadlines.
Data Analysis
Machine Learning
Performance optimization
Python programming
Code optimization
GPU architecture
Kernel development
Debugging Techniques
Parallel Computing
Cuda Programming
Profiling Tools
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
Interpersonal Skills
creativity
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Python Accelerated Computing Debugger Engineer is $108,000 to $145,000 per year. However, salaries can vary depending on factors such as location, experience, and the specific company or industry. Additionally, individuals with specialized skills or certifications may be able to command higher salaries in this role.
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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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