Lead Embedded Systems Software Engineer (ONTAP C++)

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San Jose, CA
112K Annually
7+ Years Experience
Big Data • Cloud • Information Technology
The Role

Job Summary

Member of a software engineering team involved in development & design of the features related to AI/ML for NetApp's flagship storage operating ONTAP.

ONTAP is a feature rich stack with its rich data management capabilities that has tremendous value to our customers and are used in mission critical applications across the world. You will work as part of a team responsible for the development, testing and debugging of distributed software that drives NetApp cloud, hybrid-cloud and on-premises solutions.

As part of the Research and Development function, the overall focus of the group is on competitive market and customer requirements, supportability, technology advances, product quality, product cost and time-to-market. Software engineers focus on enhancements to existing products as well as new product development.

This is a mid-level technical lead position that requires an individual to be broad-thinking, systems-focused, creative, team-oriented, technologically savvy, able to lead large cross-functional teams, and driven to produce results.

Job Requirements

  • Requires greater than 6-8 years of more experience
  • Excellent coding skills in C/C++ required, Python is optional
  • System/Kernel programming, Experience with Filesystems or Networking or file/cloud protocols is a must
  • Proven track record of leading mid to large sized projects
  • This position requires an individual to be creative, team-oriented, a quick learner and driven to produce results.
  • Responsible for providing support in the development and testing activities of other engineers that involve several inter-dependencies
  • Participate in technical discussions within the team and with other groups within Business Units associated with specified projects
  • Willing to work on additional tasks and responsibilities that will contribute towards team, department and company goals
  • A strong understanding and experience with concepts related to computer architecture, data structures and programming practices
  • Experience with AI/ML frameworks like PyTorch or TensorFlow is a Plus

General Requirements

  • Strong oral and written communication skills are required
  • Work collaboratively within a team environment of other engineers to meet aggressive goals and high-quality standards.
  • Possesses sufficient technical knowledge and experience to pick up new expertise quickly with guidance from the architects.
  • Strong aptitude for learning new technologies
  • Participate in all phases of product development cycle: from product definition and design, through implementation, debugging, testing and early customer support
  • Resourceful in applying creative ideas to solve problem.
  • Lead Critical and/or high-visibility customer support engagements

Education

Requires a minimum of 8-12 years of related experience with a Bachelor's degree or 6 years and a Master's degree; or a PhD with 3 years experience; or equivalent experience.

The Company
HQ: Sunnyvale, CA
12,824 Employees
On-site Workplace
Year Founded: 1992

What We Do

In a world of generalists, we are the specialists. #NetApp

World-class data management and storage solutions in the biggest public clouds.

Founded in 1992 and headquartered in San Jose, California, NetApp specializes in helping our customers get the most out of their data with industry-leading cloud data services, storage systems, and software.

We have a service to meet your every need, plus the needs you’re about to discover. From simple break-fix to end-to-end storage management, you can count on our expertise to help drive your digital transformation.

NetApp® Services experts help you create a data fabric strategy that’s aligned to your business, so you can accelerate innovation and deliver improved business results across your hybrid multicloud infrastructure.

Your digital transformation is our top priority. We use our expertise to help envision, deploy, and operate your data management solutions. We also deliver proactive and predictive intelligence for optimizing the way you manage your solutions across the data lifecycle.

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