Senior System Software Engineer, Deep Learning
US, CA, Santa Clara
NVIDIA
NVIDIA erfindet den Grafikprozessor und fördert Fortschritte in den Bereichen KI, HPC, Gaming, kreatives Design, autonome Fahrzeuge und Robotik.NVIDIA has been transforming computer graphics, PC gaming, accelerated computing, and machine learning for more than 25 years. It’s a unique legacy of innovation 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.
Our team is comprised of talented scientists and engineers who thrive in a fast-paced, energetic environment. We are at the forefront of deep learning, computer vision, and computer graphics.
What you will be doing:
This is an exceptional opportunity to work alongside industry experts and contribute to cutting-edge projects. We seek strategic, ambitious, and hard-working individuals who are not only creative but also passionate about tackling complex problems that others may shy away from.
If you have experience with deep learning, computer vision, and synthetic data this role is for you. You will collaborate closely with our development and research teams to work on deep learning models and integrate them into existing systems and tools. Join us in reshaping the future of technology and take on challenges that promise to be as fulfilling as they are demanding.
What we need to see:
Master's (or equivalent experience), or preferably a PhD degree in Computer Science or a related field.
Solid algorithmic foundation and proven expertise demonstrated through research publications, internships, or significant project experience.
At least 3+ years of experience in a similar or related role.
Strong background in computer vision and deep learning.
Excellent programming skills in Python and C/C++.
Excellent software engineering fundamentals (source control, CI/CD, testing/validation, packaging, containerization, release): proven track record developing, testing, and releasing production-grade, complex software.
Ability to develop code in Unix/Linux environments.
Excellent written, visual, and verbal communication skills to present performance challenges, tradeoffs, and architectural alternatives.
Strong collaboration skills to partner with algorithm designers, application developers, and infrastructure and MLOps teams.
Ways to stand out from the crowd:
Previous experience with training deep learning models using synthetic data.
Experience with training foundation models for computer vision problems.
Proficiency with CUDA.
Ability to convert research into product.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
The base salary range is 148,000 USD - 276,000 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 benefits. 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.Tags: CI/CD Computer Science Computer Vision CUDA Deep Learning Engineering GPU Linux Machine Learning MLOps PhD Python Research Testing
Perks/benefits: Career development Equity / stock options
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