Developer Technology Engineer - New College Grad
at NVIDIA
Santa Clara, CA 95051, USA -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 29 Nov, 2024 | USD 230000 Annual | 29 Aug, 2024 | N/A | Good communication skills | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
NVIDIA is looking for a passionate, world-class computer scientist to work in its Compute Developer Technology (Devtech) team as an AI Developer Technology Engineer. Artificial intelligence, the dream of computer scientists for over half a century, is no longer science fiction. And in the next few years, it will transform every industry. Soon, self-driving cars will reduce congestion and improve road safety. AI travel agents will know your preferences and arrange every detail of your family vacation. And medical instruments will read and understand patient DNA to detect and treat early signs of cancer. Where engines made us stronger and powered the first industrial revolution, AI will make us smarter and power the next. What will make this intelligent industrial revolution possible? A new computing model — GPU deep learning — that enables computers to learn from data and write software that is too complex for people to code.
What you will be doing:
- Study and develop state of the art techniques in deep learning, machine learning, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures
- Provide the best AI solutions using GPUs working directly with key customers
- Collaborate closely with the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models
What we need to see:
- Currently pursuing a MS or PhD University in an engineering or Computer Science related discipline (or equivalent experience)
- You’ll possess strong knowledge of C/C++, software design, programming techniques, and AI algorithms
- Experience with parallel programming, ideally CUDA C/C++
- Excellent communication and organization skills, with a logical approach to problem solving, time management, and task prioritization skills
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 talented people in the world working with us and our engineering teams are growing fast in some of the hottest and state of the art fields: Deep Learning, Artificial Intelligence, Autonomous Vehicles, Supercomputing and more. Are you a creative and autonomous computer scientist with a real passion for parallel computing? If so, we want to hear from you.
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
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.
deeplearnin
Responsibilities:
- Study and develop state of the art techniques in deep learning, machine learning, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures
- Provide the best AI solutions using GPUs working directly with key customers
- Collaborate closely with the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming model
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Computer Software/Engineering
IT Software - System Programming
Software Engineering
Graduate
Proficient
1
Santa Clara, CA 95051, USA