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Software Engineering Manager - Image and Data Compression Libraries

Job in Coos Bay, Coos County, Oregon, 97458, USA
Listing for: NVIDIA
Full Time position
Listed on 2026-01-13
Job specializations:
  • Software Development
    Software Engineer, AI Engineer, Machine Learning/ ML Engineer, Data Engineer
Salary/Wage Range or Industry Benchmark: 322000 USD Yearly USD 322000.00 YEAR
Job Description & How to Apply Below

Why consider this job opportunity:

  • Salary up to $322,000
  • Opportunity for equity and comprehensive benefits
  • Work with highly skilled engineers in a collaborative and innovative environment
  • Potential for career advancement and growth within a leading global technology company
  • Engage in projects that push the boundaries of technology and impact millions worldwide
  • Flexible hybrid work model
What to Expect (Job Responsibilities):
  • Manage a team of engineers focused on developing accelerated image and data processing solutions
  • Lead projects to meet both internal and external customer needs
  • Build and maintain a project roadmap aligned with company goals and customer expectations
  • Determine project goals and scope, ensuring timely execution and delivery
  • Foster an inclusive and collaborative environment that promotes innovation and creativity
What is Required (Qualifications):
  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Applied Math, or a related field, or equivalent experience
  • At least five years of overall experience, including three or more in team management
  • Experience in designing and testing large-scale software with strong examples from past careers
  • Proficiency in C++ and Python
  • Strong communication skills for effective collaboration with the open-source community
How to Stand Out (Preferred Qualifications):
  • Experience with image processing concepts and algorithms (e.g., geometry transformations, filtering, etc.)
  • Knowledge of image and data compression formats and algorithms (e.g., jpeg, tiff, png)
  • Expertise in parallel programming and performance optimization on modern computer architectures (e.g., CUDA, MPI)
  • Prior experience working with distributed teams

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