Used Tools & Technologies
Not specified
Required Skills & Competences ?
Kubernetes @ 3 Python @ 6 Statistics @ 4 Algorithms @ 4 Leadership @ 4 Communication @ 7 Mathematics @ 4 Microservices @ 4 Technical Leadership @ 4 PyTorch @ 6 CUDA @ 4Details
NVIDIA is redefining digital biology through AI and accelerated computing. This role focuses on implementation and product development of deep learning algorithms for life sciences applications, collaborating with industry and academic partners to build scalable AI solutions.
Responsibilities
- Implement new biological foundation models as NVIDIA NIM Microservices (NIM).
- Compose and build agentic AI solutions for biological applications.
- Lead the development and productization of large-scale AI algorithms.
- Own major software features from development through deployment.
- Collaborate closely with applied research, AI infrastructure, and full-stack engineering teams to deliver robust, scalable solutions.
Requirements
- 8+ years of experience in AI/ML with a strong focus on deep learning.
- BS/MS or equivalent experience in Computer Science, Physics, Mathematics, Statistics, or a related quantitative field.
- Proficiency in Python and deep learning frameworks, especially PyTorch.
- Proficient knowledge in deep learning principles and high-performance computing (HPC) techniques.
- Familiarity with cloud-native technologies (e.g., Kubernetes, containers, microservices).
- Demonstrated technical leadership and ability to work independently and collaboratively.
Ways to Stand Out
- Hands-on experience with large language models (LLMs) and distributed training/inference.
- Expertise in CUDA, TensorRT, and cuDNN.
- Experience building and deploying cloud-native AI applications.
- Strong communication skills and proven track record of multi-functional partnership.
Compensation & Other Details
- Base salary ranges by level (dependent on location, experience, and comparable pay):
- Level 4: 184,000 USD - 287,500 USD
- Level 5: 224,000 USD - 356,500 USD
- Eligible for equity and benefits.
- Applications accepted at least until October 5, 2025.
Company & Culture
NVIDIA emphasizes a diverse, supportive environment and is an equal opportunity employer. The company highlights competitive salaries, generous benefits, and opportunities for engineers to work on cutting-edge AI and accelerated computing technologies.