Senior Technical Program Manager, Compute Performance Engineering

$156,000 - $299,000/Yr

Nvidia - Santa Clara, CA

Full-time - Mid Level

Santa Clara, CA

Computer and Electronic Product Manufacturing

About the position

NVIDIA's Compute Performance Engineering team is seeking a skilled project manager to lead software programs and processes that enhance deep learning efficiency and performance. This role involves collaborating with multi-functional teams, managing projects through both Waterfall and Agile methodologies, and ensuring timely delivery of projects while communicating effectively with stakeholders. The ideal candidate will have a strong technical background and experience in program management, particularly in fast-paced environments.

Responsibilities

• Drive software programs and processes hands-on.
• Lead multi-functional team members in a matrix organization to deliver projects on time.
• Manage projects using both Waterfall and Agile methodologies.
• Communicate project status authoritatively to multi-functional teams and executive management.
• Work independently and influence with minimal mentorship.
• Collaborate with global partners across multiple time zones and technical fields.
• Craft an efficient and accountable development environment through process development and improvement.
• Follow defined processes to address blocking issues in project execution.
• Strategically distill complex projects into manageable tasks and communicate them effectively to teams.
• Collaborate with HW architecture, DL SW, Compiler, and Infrastructure teams to ensure schedule alignment.
• Guide the direction of machine learning initiatives across the company.

Requirements

• Strong technical background in software engineering, data science, or software QA engineering.
• 6+ years of relevant experience in program, project, or product management roles.
• Experience leading global projects and working flexibly across time zones.
• Bachelor of Science or equivalent in Electronic Engineering, Computer Science, or a related field.
• Validated software engineering background and technical skills.
• Ability to investigate technical issues and attention to detail.
• Knowledge of operating systems, software development methodologies, and compilers.

Nice-to-haves

• Technical background in machine learning, deep learning, or GPU technology using APIs like CUDA, Tensorflow, or Pytorch.
• Experience with productizing enterprise server systems and coordinating between HW/SW organizations.
• Proficiency in Python, Tensorflow, and other third-party software suites.
• Experience with project management tools like JIRA, JAMA, or MS Project.
• Project Management Professional Certification.

Benefits

• Equity options
• Comprehensive health benefits
• Flexible working hours
• Diversity and inclusion programs