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NetApp

Software Engineer - Shared Platform

NetApp, San Jose, California, United States, 95199


Job SummaryWe are hiring Software Engineers to be 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 an entry-level technical position that requires an individual to be systems-focused, creative, team-oriented, technologically savvy, able to work in a small and large cross-functional teams, willing to learn and driven to produce results.

Essential Functions:

Work as a member of the team on projects involving development of new features, sustenance, handling engineering escalations.

Participate in all phases of product development cycle: from product definition and design, through implementation, debugging, testing and early customer support.

Work collaboratively with other peer team members and other teams on the product like QA, Systemic Test Engineering support and other dependent engineering teams to understand customer use cases, deliver solutions and bring in the value from those teams into work done within the team.

Should be able to work with other engineers and solve technical issues.

Job Requirements

Familiarity with design and development of system software.

Hands on experience with C, C++ required; Python and/or debugging with GDB is optional.

In depth knowledge of Unix/Linux System Programming, Multithreaded programming.

Storage Domain experience is a plus.

Should have strong conceptual understanding of OS internals.

Strong algorithms, data structures and multi-threaded programming expertise are required.

Experience with AI/ML frameworks like PyTorch or TensorFlow is a Plus.

Expected to have sound software engineering practices and a passion for quality.

Must have a proven record of meeting tight deadlines without sacrificing quality.

Strong communication skills are essential, both written and oral, targeted at a wide variety of internal and external audiences.

Must develop good idea about customer deployment scenarios and experience in dealing with peer teams outside engineering.

Expected and assumed: independence, drive, motivation, willingness to go above and beyond, flexibility, and cooperative spirit.

EducationTypically requires a Bachelor's degree with a minimum of 2 years experience or a Master's degree with 0-4 years experience or equivalent work experience.

CompensationThe base salary range for this position is $112,200 - $157,700 and will be determined by the candidate's location, qualifications, experience, and education. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package.

Equal Opportunity Employer:NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification.

Why NetApp?We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate.

If you want to help us build knowledge and solve big problems, let's talk.

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