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Urgent! EDA Workflow Optimization Engineer Job Opening In Santa Clara – Now Hiring NVIDIA
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years.
It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
Today, we’re tapping into the unlimited potential of AI to define the next era of computing.
An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world.
Doing what’s never been done before takes vision, innovation, and the world’s best talent.
As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.
Come join the team and see how you can make a lasting impact on the world.
NVIDIA reinvented itself over two decades, inventing the GPU in 1999 to reshape PC gaming and modern computer graphics.
As an engineer in our EDA Workflow Optimization team, you will partner closely with our engineering teams worldwide.
You will understand workflows covering the full chip design process from inception through study, architecture, design, verification, emulation, layout, packaging, power-on and production.
You will then guide teams to improve, and sometimes re-invent those flows.
You will enable our engineers to have the best tools on the planet to make the most innovative chips in the world.
You will perform investigations to understand flaws and opportunities, construct metrics to continuously measure performance of our flows and services, and other infrastructure.
You will work with your team of EDA and software experts to build new infrastructure in an agile, production software environment.
You will continuously innovate and enhance scalable, reliable, high performance systems and tools to enable the next generation of chips!
What you’ll be doing:
+ Work in a diverse team performing fast paced investigations to empower our engineers to develop at the speed of light.
+ Participate in the full life-cycle of tool development, test, and deployment.
+ Work closely with other team members and chip engineers to understand and optimize how workflows use the compute and storage environments.
+ Build metrics that are reliable and easy to use by hundreds of engineers around the world.
+ Continuously improve our chip development process.
+ Directly contribute to the overall quality and time to market for our next generation chips.
What we need to see:
+ Strong experience investigating and debugging complex, multi-discipline problems in a UNIX engineering environment.
+ Hands-on experience with architectural decisions in technologies (storage, networking, compute) our chip engineers depend on.
+ Experience with ASIC, VLSI, CAD/EDA or mixed signal design workflow environments.
+ Hands-on experience with EDA tools.
+ Experienced in UNIX Systems programming and automation using Python and/or Shell.
+ Authoritative level usage of UNIX and UNIX utilities.
+ Excellent planning and communication skills.
+ Experience in applying data analysis principles and influencing data-driven decisions.
+ Flexibility/adaptability working in a dynamic environment with changing requirements.
+ BS in Computer Science or equivalent experience; MS (preferred).
+ 5+yrs of relevant experience.
Ways to stand out from the crowd:
+ Experience with job schedulers (in particular IBM Spectrum LSF and/or SLURM).
+ Hands-on experience running GPU-based workloads in a batch computing environment and a deep understanding of distributed system principles.
+ Strong programming and debugging skills with C/C++, Python, and Perl on UNIX.
+ A passion for improving engineering productivity and efficiency via data-driven philosophy.
#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 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
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 6, 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 EDA Workflow Potential: Insight & Career Growth Guide
Real-time EDA Workflow 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 EDA Workflow 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 219 jobs in United States and 7 jobs in Santa Clara. This comprehensive analysis highlights market share and opportunities for professionals in EDA Workflow 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 EDA Workflow Optimization Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: EDA Workflow Optimization Engineer 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 EDA Workflow Optimization Engineer 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 EDA Workflow Optimization Engineer 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.
To improve your chances of getting hired for EDA Workflow Optimization Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your EDA Workflow Optimization Engineer 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.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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