Overview
Remote
On Site
USD 184,000.00 per year
Full Time
Skills
Computer Hardware
Data Centers
Robotics
Medical Devices
Language Models
Data Loading
Product Management
Marketing
Science
Computer Science
Electrical Engineering
Artificial Intelligence
PyTorch
Software Engineering
Version Control
Continuous Integration
Continuous Delivery
Testing
Python
C++
CUDA
Optimization
Cloud Computing
Communication
Machine Learning (ML)
Computer Vision
Multithreading
Software Development
Linear Algebra
Numerical Analysis
Statistics
Data Analysis
Innovation
Recruiting
Promotions
SAP BASIS
Law
Job Details
NVIDIA is a world-leader in artificial intelligence and computer vision. Our team builds hardware-accelerated computer vision pipelines, cloud services and SDKs bringing the latest AI innovations to data centers, gaming rigs, cars, robots, buildings, medical devices, and more. We are looking for an engineering expert to help us productize and optimize the latest Vision Language Models (VLMs) and their pipelines. Together, we will democratize the use of these amazing models, unlocking all sorts of innovative applications the world is barely dreaming of.
What you'll be doing:
What we need to see:
Ways to Stand Out from the Crowd:
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 7, 2025.
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.
What you'll be doing:
- Develop, profile and optimize inference pipelines for VLMs and other AI CV models: improve throughput and latency, data loading, pre- and post-processing.
- Improve the efficiency of VLM models themselves: kernel optimization in CUDA
- Upstream improvements to SDKs and libraries across NVIDIA and beyond to deliver accelerated computer vision at scale.
- Promote high-performance AI computer vision across NVIDIA teams and functions (Engineering, Product Management, Marketing, and more).
What we need to see:
- Master's of Science in Computer Science or Electrical engineering or equivalent experience.
- 8 years practical experience or equivalent
- Expertise in AI computer vision (VLMs, Vision Transformers, Diffusion models). Proven track record using its software ecosystem (PyTorch, HuggingFace, vLLM) to develop and release production-grade software.
- Excellent software engineering fundamentals (source control, CI/CD, testing/validation, packaging, containerization, release).
- Proficiency with Python, C++ and CUDA (kernel optimization)
- Experience developing cloud applications (REST APIs, gRPC).
- Excellent written, visual, and verbal communication to present performance challenges, tradeoffs, and architectural alternatives.
- Curiosity and drive to learn new technologies and partner across teams and functions.
Ways to Stand Out from the Crowd:
- Expertise in classical, non-ML computer vision
- Strong fundamentals with system-level performance: multi-threaded, multi-process and distributed software development.
- Grounding in mathematical fundamentals such as linear algebra, numerical methods, statistics, and exploratory data analysis.
- History of creativity and innovation around performance in multiple problem domains.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 7, 2025.
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.