About the Company
NVIDIA is a global leader in accelerated computing, pushing the boundaries of what’s possible in AI, deep learning, and high-performance computing. Our innovative GPUs and software platforms are powering the next generation of intelligent machines, from self-driving cars to advanced robotics and medical imaging. We are committed to fostering talent and providing a dynamic environment where new ideas thrive.
Job Description
Join NVIDIA’s Machine Learning New Grad Program in Torrance, CA, and kickstart your career at the forefront of AI innovation. This program is designed for recent graduates with a passion for machine learning, providing hands-on experience, mentorship, and the opportunity to contribute to real-world projects that shape the future of technology. As a Machine Learning Programmer, you will work alongside world-class engineers and researchers, developing and optimizing algorithms, models, and software for NVIDIA’s cutting-edge AI platforms. This is a unique chance to grow your skills, make significant contributions, and be part of a team that is changing the world.
Key Responsibilities
- Design, develop, and implement machine learning algorithms and models.
- Optimize ML models for performance and efficiency on NVIDIA GPU architectures.
- Collaborate with senior engineers to integrate ML solutions into larger software systems.
- Conduct experiments, analyze data, and evaluate model performance.
- Participate in code reviews, contribute to documentation, and maintain best practices.
- Research and stay current with the latest advancements in machine learning and artificial intelligence.
- Contribute to the full lifecycle of machine learning product development.
Required Skills
- Solid understanding of machine learning fundamentals, including supervised, unsupervised, and reinforcement learning.
- Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong programming skills in C++ or CUDA.
- Familiarity with data structures, algorithms, and object-oriented design.
- Excellent problem-solving abilities and analytical skills.
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related technical field (graduated within the last 12 months).
Preferred Qualifications
- Experience with large-scale data processing and distributed computing frameworks (e.g., Spark, Hadoop).
- Knowledge of deep learning architectures and techniques (CNNs, RNNs, Transformers).
- Experience with cloud platforms (AWS, Azure, GCP).
- Familiarity with version control systems (e.g., Git).
- Demonstrated personal projects, research experience, or internships in machine learning.
Perks & Benefits
- Comprehensive medical, dental, and vision insurance.
- 401(k) retirement plan with company match.
- Generous paid time off and holidays.
- On-site fitness centers and wellness programs.
- Professional development and learning opportunities.
- Employee stock purchase program.
- Relocation assistance for eligible candidates.
- Access to cutting-edge technology and research facilities.
- Free snacks, meals, and beverages.
- Employee discounts on NVIDIA products.
How to Apply
If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:
- An up-to-date Resume or CV
- A brief cover letter summarizing your experience and motivation
Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.
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