Senior AI Algorithms Software Engineer
at Nvidia
π Hsinchu, Taiwan
$100,000-150,000 per year
SCRAPED
Used Tools & Technologies
Not specified
Required Skills & Competences ?
Marketing @ 4 Python @ 7 Algorithms @ 4 Machine Learning @ 6 TensorFlow @ 7 Communication @ 7 Mentoring @ 4 Product Management @ 4 PyTorch @ 7Details
NVIDIA is searching for a Deep Learning algorithms architect to develop artificial intelligence (AI), computer vision algorithms, and applications for our Metropolis for Factories and Manufacturing platforms. Artificial Intelligence is transforming how we collect, inspect, and analyze different kinds of sensor data that impacts everything from manufacturing automation, warehouse management, product inspections to safety workflows. NVIDIA Metropolis is leading this AI revolution, providing the tools, technologies, and expertise to meet every challenge with smarter, faster applications.
Responsibilities
- Architect, analyze, develop, and prototype key deep learning algorithms and solutions as a core member of our growing software team.
- Collaborate with diverse software, research, and hardware teams across geographies to analyze the interplay of hardware and software architectures to solve critical problems and future applications.
- Support engagements with customers and their third-party software providers. Collaborate with Product Management, Marketing, and Developer Technology teams.
- Develop algorithms (such as zero/few-shot learning, unsupervised learning) to address data scarcity and collection challenges.
- Utilize generative models (Diffusion, GANs, VAEs) for data generation to overcome data scarcity issues.
- Drive the design and implementation of complex AI projects, providing technical guidance and support, mentoring junior engineers.
Requirements
- 3 years or more of working experience and an MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field with a focus on Deep Learning, Machine Learning, and Computer Vision.
- Proven experience in algorithm development for data analytics, especially with LLMs and Multi-Modal Foundation models. Experience working and curation with multi-modal datasets.
- Experience with algorithms including zero/few-shot learning, self-supervised, unsupervised learning techniques, domain adaptation techniques like PEFT, and generative AI models for synthetic dataset creation.
- Proficiency in working with deep learning frameworks such as TensorFlow and PyTorch, Strong programming skills in Python and/or C++, and Experience developing integrated AI solutions.
- Proven ability to lead projects, manage timelines, and deliver results.
- Strong communication skills and ability to work in a collaborative environment.
Benefits
NVIDIA is widely considered to be one of the technology worldβs most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous data scientist who loves challenges? Do you have a genuine passion for advancing the state of AI & machine learning across a variety of industries? If so, we want to hear from you. Come and join our Metropolis team where you'll help build our real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.