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Compiler Engineer - Deep Learning Job Opening In Redmond – Now Hiring NVIDIA


Job description

We are looking for a Deep Learning Compiler Engineer.

NVIDIA is hiring software engineers for its Deep Learning Compiler team.

Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling breakthroughs in many areas, e.g. image classification, speech recognition, recommendation systems, large language models and generative AIs, etc.

Join the team building the DLC which will be used by the entire deep learning community.

What you'll be doing:

In this role, you will be responsible for analyzing deep learning networks and developing compiler optimization algorithms.

Collaborate with members of the deep learning software framework teams and the hardware architecture teams to accelerate the next generation of deep learning software.

The scope of these efforts includes defining public APIs, performance tuning and analysis, crafting and implementing compiler and optimization techniques for neural networks, and other general software engineering work.

What we need to see:

  • Bachelors, Masters or Ph.D. in Computer Science, Computer Engineering, related field (or equivalent experience)

  • 2+ years of relevant work or research experience in performance analysis and compiler optimizations.

  • Ability to work independently, define project goals and scope, and lead your own development effort.

  • Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design.

  • Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team.

Ways to stand out from the crowd:

  • Experience in CPU and/or GPU architecture.

    CUDA or OpenCL programming experience.

  • Strong understanding with one or more of the following technologies: XLA, TVM, MLIR, LLVM, deep learning models and algorithms, and deep learning framework design.

  • A track record of success in mentoring junior engineers and interns is a bonus.

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 brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.

The base salary range is 120,000 USD - 230,000 USD.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and .

NVIDIA accepts applications on an ongoing basis.

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.

#deeplearning

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Compiler Engineer Potential: Insight & Career Growth Guide


Real-time Compiler Engineer Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Compiler Engineer in Redmond, United States, highlighting market share and opportunities for professionals in Compiler Engineer roles.

171087 Jobs in United States
171087
1313 Jobs in Redmond
1313
Download Compiler Engineer Jobs Trends in Redmond and United States

Are You Looking for Compiler Engineer Deep Learning Job?

Great news! is currently hiring and seeking a Compiler 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: .

The Work Culture

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:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for Compiler Engineer Deep Learning Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Redmond. 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.

What Are the Key Qualifications for Compiler Engineer Deep Learning?

Key qualifications for Compiler Engineer Deep Learning typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Compiler Engineer Deep Learning Job Success

NVIDIA interview tips for Compiler Engineer   Deep Learning

Here are some tips to help you prepare for and ace your Compiler Engineer Deep Learning job interview:

Before the Interview:

Research: Learn about the NVIDIA's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Compiler 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.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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