NVIDIA

Senior Software Engineer, Data Transcoding

NVIDIA

Remote
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

Are you a Senior Software Engineer with a passion for data transcoding? NVIDIA is seeking a motivated, experienced Senior Software Engineer to join our team. In this role, you will take part in the development and implementation of advanced software solutions for our data transcoding services. You will be responsible for leading a team of engineers to develop and maintain the highest quality software solutions for our data transcoding services.We are looking for an individual with a strong background in software engineering, experience in data transcoding, and excellent technical and communication skills. If you have a passion for software engineering and are looking for an opportunity to join a thriving industry, then this might be the perfect role for you.

Responsibilities:

  1. Lead a team of engineers in the development and implementation of advanced software solutions for data transcoding services.
  2. Collaborate with other teams to ensure the highest quality and reliability of software solutions.
  3. Monitor and evaluate performance of data transcoding services and recommend improvements.
  4. Ensure software solutions are secure and up-to-date with industry standards.
  5. Identify and troubleshoot any technical issues with data transcoding services.
  6. Develop and implement strategies to improve existing data transcoding services.
  7. Document and maintain software solutions and processes.
  8. Provide technical support to both internal and external customers.
  9. Mentor and provide guidance to junior software engineers.
  10. Stay up-to-date on the latest trends and advancements in software engineering and data transcoding.
Where is this job?
This job opening is listed as 100% remote
Job Qualifications
  • Experience In C/C++

  • Software Design And Development

  • Strong Background In Data Structures And Algorithms

  • Knowledge Of Image/Video Processing

  • Experience In Gpu Architectures

  • Experience With Linux Development

  • Knowledge Of Debugging Techniques

  • Knowledge Of Transcoding Algorithms

Required Skills
  • Networking

  • Troubleshooting

  • Data Analysis

  • Debugging

  • Machine Learning

  • Automation

  • Coding

  • Cloud Computing

  • Algorithm design

  • API design

  • Optimization

  • Database design

  • Software engineering

  • Software Architecture

  • Data Transcoding

Soft Skills
  • Communication

  • Conflict Resolution

  • Leadership

  • Problem Solving

  • Time management

  • Interpersonal Skills

  • creativity

  • Organization

  • Teamwork

  • Adaptability

Compensation

According to JobzMall, the average salary range for a Senior Software Engineer, Data Transcoding is between $95,000 and $125,000 per year. The exact amount depends on factors such as experience, location, and the specific company. Additionally, bonuses and other incentives can be included in the salary package.

Additional Information
NVIDIA is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedNovember 14th, 2023
Apply BeforeJanuary 20th, 2025
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About NVIDIA

NVIDIA Corp. designs and manufactures computer graphics processors, chipsets, and related multimedia software. The company operates through two segments: Graphics Processing Unit and Tegra Processor. The Graphics Processing Unit segment includes sales of the company's GeForce discrete and chipset products that supports desktop and notebook PCs plus license fees from Intel and sales of memory products. The Tegra Processors segment provides processors that deliver superior visual and multimedia experience on tablets, smart phones and gaming devices while consuming minimal power.

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