Juniper Networks

AI/ML Network Workload Characterization and Performance Engineer

Juniper Networks
Sunnyvale, CA, USA
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

Welcome to Juniper Networks, where we are constantly pushing the boundaries of networking technology and paving the way for the future. We are currently seeking a highly skilled and driven AI/ML Network Workload Characterization and Performance Engineer to join our team. As a member of our dynamic and innovative company, you will have the opportunity to work with cutting-edge technology and play a crucial role in shaping the future of our network systems. If you are passionate about artificial intelligence and machine learning, and have a strong background in network workload characterization and performance engineering, we want to hear from you! Join us and be a part of our mission to revolutionize the networking industry.

  1. Conduct network workload characterization to identify performance bottlenecks and areas for improvement.
  2. Develop and implement AI/ML algorithms to optimize network performance and efficiency.
  3. Collaborate with cross-functional teams to gather requirements and design solutions that meet business needs.
  4. Analyze and interpret data to provide insights and recommendations for network performance enhancement.
  5. Troubleshoot and resolve complex network performance issues.
  6. Stay updated on the latest advancements in AI/ML technologies and apply them to improve network performance.
  7. Conduct performance testing and evaluate results to ensure the accuracy and effectiveness of implemented solutions.
  8. Participate in design reviews and provide feedback to improve network architecture.
  9. Document and present findings, solutions, and recommendations to team members and stakeholders.
  10. Provide technical support and guidance to colleagues and team members.
  11. Contribute to the development and maintenance of network performance standards and best practices.
  12. Continuously monitor and evaluate network performance to identify potential issues and proactively address them.
  13. Collaborate with external partners and vendors to integrate their solutions into our network systems.
  14. Maintain a high level of professionalism and uphold company values while representing Juniper Networks.
  15. Stay informed about industry trends and developments related to AI/ML and network workload characterization to make informed recommendations.
Where is this job?
This job is located at Sunnyvale, CA, USA
Job Qualifications

  • Strong Understanding Of Ai/Ml Methodologies: The Candidate Should Possess A Deep Understanding Of The Various Ai/Ml Algorithms And Techniques Used In Network Workload Characterization And Performance Analysis. This Includes Knowledge Of Supervised And Unsupervised Learning, Deep Learning, And Reinforcement Learning.

  • Expertise In Network Protocols And Systems: The Ideal Candidate Should Have A Strong Background In Networking Protocols And Systems, Such As Tcp/Ip, Bgp, Mpls, And Sdn. They Should Also Have Experience With Network Performance Measurement Tools And Methodologies.

  • Proficiency In Programming And Scripting Languages: A Strong Background In Programming And Scripting Languages Such As Python, Java, And Bash Is Essential For This Role. The Candidate Should Be Able To Write Efficient Code For Data Analysis And Automation Of Workload Characterization Tasks.

  • Experience With Ai/Ml Tools And Frameworks: The Candidate Should Have Experience With Popular Ai/Ml Tools And Frameworks Such As Tensorflow, Keras, And Pytorch. They Should Also Have Experience With Data Visualization Tools Such As Tableau And Powerbi.

  • Excellent Analytical And Problem-Solving Skills: As An Ai/Ml Network Workload Characterization And Performance Engineer, The Candidate Should Have Strong Analytical Skills And Be Able To Identify Patterns And Trends In Large Datasets. They Should Also Possess Excellent Problem-Solving Skills To Troubleshoot And Resolve Issues Related To Network Performance.

Required Skills

  • Programming

  • Network Security

  • statistical analysis

  • Machine Learning

  • Deep Learning

  • Data Visualization

  • Cloud Computing

  • Data Mining

  • Performance tuning

  • System modeling

  • Network optimization

  • Big Data Analytics

Soft Skills

  • Communication

  • Conflict Resolution

  • Emotional Intelligence

  • Leadership

  • Time management

  • creativity

  • Critical thinking

  • Teamwork

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a AI/ML Network Workload Characterization and Performance Engineer in Sunnyvale, CA, USA is $140,000 - $180,000 per year. This can vary depending on factors such as experience, education level, and specific job responsibilities.

Additional Information
Juniper Networks 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 PostedDecember 6th, 2023
Apply BeforeJune 21st, 2025
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About Juniper Networks

Juniper Networks, Inc. is an American multinational corporation headquartered in Sunnyvale, California. The company develops and markets networking products, including routers, switches, network management software, network security products, and software-defined networking technology.

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