Senior Systems Software Engineer, TAO Toolkit

at Nvidia

📍 Santa Clara, United States

$148,000-276,000 per year

SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Docker @ 6 Kubernetes @ 6 Python @ 7 Algorithms @ 4 Machine Learning @ 4 Data Science @ 4 TensorFlow @ 4 Hiring @ 4 Bash @ 7 Communication @ 4 Debugging @ 7 PyTorch @ 4 Compliance @ 4

Details

NVIDIA is hiring a Systems Software Engineer to join the TAO Toolkit engineering team. Our team crafts building blocks to make AI easy to develop, integrate, and deploy. As a dedicated member, you will help advance our Trustworthy AI efforts by building and maintaining the infrastructure, tools, and processes vital to support the machine learning model lifecycle, ensuring the fairness, safety, and compliance of our AI systems. If you have a passion for innovative technologies and a commitment to developing responsible and ethical AI, we invite you to join our diverse team at NVIDIA.

Responsibilities

  • Build advanced tools to evaluate our AI models on multiple parameters including bias, risk, safety, and regulatory compliance.
  • Stay updated with the latest advancements in Trustworthy AI research and integrate relevant findings into our AI systems.
  • Design and implement governance frameworks for tracking and being responsible for the lifecycle of AI models, ensuring adherence to best practices and standards.
  • Create and refine algorithms to detect and mitigate bias in AI models, ensuring fairness and ethical decision-making.
  • Develop robust safety measures and protocols to ensure AI models operate reliably and securely in diverse environments.
  • Ensure AI systems meet all regulatory requirements and standards, maintaining compliance with industry and legal guidelines.
  • Work closely with data scientists, engineers, and product managers to integrate AI trust and safety measures seamlessly into our products.

Requirements

  • 5+ years of proven experience working on problems of moderate scope where analysis of situations or data requires a review of a variety of factors.
  • MS or PhD in Computer Science, Data Science, AI, or a related field (or equivalent experience).
  • Strong programming and debugging skills with proficiency in Python, Bash, or similar scripting languages.
  • Experience with deep learning frameworks such as TensorFlow, PyTorch, or others.
  • Proficiency with containerization technologies like Docker and orchestration tools like Kubernetes.
  • Publications in top-tier conferences or contributions to significant open-source projects in the field of AI.
  • Excellent communication and collaboration abilities to work optimally in a cross-functional team environment.
  • Strong analytical and problem-solving skills with a focus on practical and scalable AI solutions.

Benefits

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us and our engineering teams are growing fast in some of the most impactful fields of our generation: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you.