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Urgent! Performance Engineer - Deep Learning Job Opening In Santa Clara – Now Hiring NVIDIA
NVIDIA is hiring software engineers at all experience levels to build and optimize the tools Deep Learning engineers use across the world to design, develop, and deploy AI applications.
This position will embed you in an ambitious and diverse team that influences all areas of NVIDIA's AI platform and directly contributes to premiere Deep Learning frameworks - Tensorflow, PyTorch, and MXNet.
In this role you will work with multiple teams at NVIDIA across fields, as well as collaborate with the open-source community to optimize the best AI platform in the world.
What you will be doing:
+ Optimize the performance of Deep Learning models for NVIDIA GPUs and systems.
+ Study and tune Deep Learning training workloads at large scale.
+ Optimize production AI models used by enterprise customers and partners.
+ Build and support NVIDIA submissions to community benchmarks like MLPerf.
+ Optimize the performance of influential, contemporary models coming out of academic and industry research, for NVIDIA GPUs and systems.
+ Deliver the benefits of NVIDIA’s latest hardware and platform software innovations to the Deep Learning community.
+ Inform design of new hardware generations, and core platform software components for NVIDIA GPUs and systems.
What we need to see:
+ BS or equivalent experience in Computer Science, Electrical Engineering or a related field.
+ 2+ years of experience with C++ and Python programming.
+ Strong background with parallel programming, preferably on GPUs.
+ Knowledge of Computer Architecture and/or Operating Systems.
+ Proven experience developing large software projects.
+ Excellent verbal and written communication skills.
Ways to stand out from the crowd:
+ Experience in PyTorch, Tensorflow or MXNet.
+ Background with performance analysis and profiling of workloads.
+ Participation in the open source community.
+ Proven experience working with multidisciplinary teams.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers.
We have some of the most forward-thinking and dedicated people in the world working with us and our engineering teams are contributing to some of the hottest state of the art fields: Deep Learning, Artificial Intelligence, and Autonomous Vehicles.
If you're a creative and motivated software engineer with a real passion for building fast software solutions, as well as impacting AI development worldwide, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
The base salary range is 120,000 USD - 189,750 USD for Level 2, and 148,000 USD - 235,750 USD for Level 3.
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 October 10, 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 Performance Engineer Potential: Insight & Career Growth Guide
Real-time Performance Engineer 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 Performance Engineer 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 175797 jobs in United States and 3022 jobs in Santa Clara. This comprehensive analysis highlights market share and opportunities for professionals in Performance Engineer 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 Performance Engineer Deep Learning to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Performance Engineer Deep Learning Jobs Santa Clara.
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 Performance Engineer Deep Learning 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 Performance Engineer Deep Learning 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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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Performance Engineer Deep Learning interview at NVIDIA, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the NVIDIA's products or services and be prepared to discuss how you can contribute to their success.
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