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Urgent! Senior System Software Engineer - AI Performance and Efficiency Tools Job Opening In Santa Clara – Now Hiring NVIDIA
A key part of NVIDIA's strength is our sophisticated analysis / debugging tools that empower NVIDIA engineers to improve perf and power efficiency of our products and the running applications.
We are looking for forward-thinking, hard-working, and creative people to join a multifaceted software team with high standards! This software engineering role involves developing tools for AI researchers and SW/HW teams running AI workload in GPU cluster.
As a member of the software development team, we will work with users from different departments like Architecture teams, Software teams.
Our work brings the users intuitive, rich and accurate insight in the workload and the system, and empower them to find opportunities in software and hardware, build high level models to propose and deliver the best hardware and software to our customers, or debugging tricky failures and issues to help improve the performance and efficiency of the system.
What you’ll be doing:
+ Build internal profiling and analysis tools for AI workloads at large scale
+ Build debugging tools for common encountered problems like memory or networking
+ Create benchmarking and simulation technologies for AI system or GPU cluster
+ Partner with HW architects to propose new features or improve existing features with real world use cases
What we need to see:
+ BS+ in Computer Science or related (or equivalent experience) and 5+ years of software development
+ Strong software skills in design, coding (C++ and Python), analytical, and debugging
+ Good understanding of Deep Learning frameworks like PyTorch and TensorFlow, distributed training and inference.
+ Knowledge of GPU cluster job scheduling (Slurm or Kubernetes), storage and networking
+ Experience with NVIDIA GPUs, CUDA Programming and NCCL
+ Motivated self-starter with strong problem-solving skills and customer-facing communication skills
+ Passion for continuous learning.
Ability to work concurrently with multiple global groups
Ways to stand out from the crowd:
+ Proven experience in GPU cluster scale continuous profiling & analysis tools/platforms
+ Solid experience in large AI job performance analysis for training/inference workload
+ Knowledge of Linux device drivers and/or compiler implementation
+ Knowledge of GPU and/or CPU architecture and general computer architecture principles
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) .
Applications for this job will be accepted at least until July 29, 2025.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.
As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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Unlock Your Senior System Potential: Insight & Career Growth Guide
Real-time Senior System Jobs Trends in Santa Clara, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Senior System in Santa Clara, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 187354 jobs in United States and 2208 jobs in Santa Clara. This comprehensive analysis highlights market share and opportunities for professionals in Senior System roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! NVIDIA is currently hiring and seeking a Senior System Software Engineer AI Performance and Efficiency Tools to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at NVIDIA adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Senior System Software Engineer AI Performance and Efficiency Tools Jobs United States varies, but the pay scale is rated "Standard" in Santa Clara. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Senior System Software Engineer AI Performance and Efficiency Tools typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Senior System Software Engineer AI Performance and Efficiency Tools interview at NVIDIA, research the company, understand the job requirements, and practice common interview questions.
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