Job Summary
Member of a Software Engineering Team involved in development and design of features related to AI/ML for NetApp's flagship storage operating ONTAP. ONTAP is a feature stack rick data management capabilities that has tremendous value to our customers and are used in missing 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-premise 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
2 to 5 years of familiarity with design and development of system software
Hands on experience in C, C++ languages and debugging with GDB
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
General Requirements
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
Education
Typically requires a minimum of 2 years of related experience with a Bachelor's degree or 1 year and a Master's degree or a PHD without experience or equivalent work experience.