Principal Software Engineer

3 weeks ago

Santa Clara, California, United States Nvidia Full time
About NVIDIA

NVIDIA is a leader in the technology industry, renowned for its innovative products and solutions. We are seeking a highly experienced and dynamic Principal Software Engineer to join our team and contribute to the development of our generative AI systems and productivity solutions.

Job Summary

We are looking for a skilled software engineer to lead our efforts in designing, developing, and deploying generative AI systems and productivity solutions. As a key member of our technology team, you will play a pivotal role in shaping the architecture, development, and scaling of our software systems.

Key Responsibilities
  • Own the end-to-end lifecycle of software development, from concept to deployment, including architecture design, development, testing, and scaling.
  • Develop high-quality, scalable, and efficient software solutions that integrate generative AI capabilities.
  • Ensure system reliability, performance, and security at scale.
  • Drive the development process from conception to deployment, ensuring fast iterations without compromising quality and security.
  • Plan and implement strategies for scalability and future growth, anticipating technological advancements and business needs.
  • Keep abreast of emerging trends and technologies in AI, software development, and system architecture.
  • Be a strong advocate of software engineering best practices and bring a disciplined approach to testing, continuous delivery, and reducing technical debt.
Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field or equivalent experience.
  • 12+ years of proven experience in software engineering experience on large-scale production systems.
  • Proven expertise of performance, reliability in sophisticated distributed systems and the teams that build them.
  • Strong proficiency in multiple programming languages and technologies relevant to AI and system development.
  • Proven track record to lead sophisticated projects and deliver results in a fast-paced, multifaceted environment.
  • Experience in all phases of the software development lifecycle, including design, architecture, development, testing, security, and deployment.
  • Deep understanding of building successful platforms and tools for developers in a large scale environment.
  • Experience with Agile methodologies and a mindset of continuous learning and adaptation.
  • Excellent leadership, problem-solving, analytical and communication skills, capable of inspiring and leading a technical team.
Preferred Qualifications
  • Prior experience in employee productivity software or generative AI.
  • Fascinated by unique and difficult problems - resilient and persistent in the pursuit of solutions.
  • Self-motivation and a drive to get things to 'done'.
  • Experience with Machine Learning and Data Analytics.

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