AIML Software Engineer (Vectorization Model Creation)
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Job Location:
San Jose, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Job Summary
Member of a software engineering team involved in development & design of the AI Data Platform built on NetApps 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 AI/ML 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 position that requires an individual to be broad-thinking 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.
Job Requirements
- Proficiency in programming languages like Python GO Java C# C/C.
- Experience with Machine Learning Libraries and Frameworks: PyTorch TensorFlow Keras Open AI LLMs ( Open Source) LangChain etc.
- Hands-on experience working with Rest APIs and Micro Services Flask API frameworks.
- Experience working in Linux AWS/Azure/GCP Kubernetes Control plane Auto scaling orchestration containerization is a must.
- Experience with No Sql Document Databases e.g. Mongo DB Cassandra Cosmos DB Document DB.
- Experience working building Micro Services REST APIs and related API frameworks.
- Experience with Big Data Technologies: Understanding big data technologies and platforms like Spark Hadoop and distributed storage systems for handling large-scale datasets and parallel processing.
- Proven track record of working on mid to large sized projects.
- 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 across cross-functional teams.
- 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.
Education
Typically requires a minimum of 5-7 years of related experience with a Bachelors degree a Masters degree; or a PhD with relevant experience.
Compensation:
The target salary range for this position is 130900 - 194700 USD. The salary offered will be determined by the candidates location qualifications experience and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards reflecting a variety of factors and include a comprehensive benefits package. This may cover Health Insurance Life Insurance Retirement or Pension Plans Paid Time Off (PTO) various Leave options Performance-Based Incentives employee stock purchase plan and/or restricted stocks (RSUs) with all offerings subject to regional variations and governed by local laws regulations and company policies. Benefits may vary by country and region and further details will be provided as part of the recruitment process.
Key Skills
- Python
- C/C++
- Fortran
- R
- Data Mining
- Matlab
- Data Modeling
- Laboratory Techniques
- MongoDB
- SAS
- Systems Analysis
- Dancing
About Company
At NetApp, our top priority is the health and safety of our event attendees and employees, including every community around the world being impacted by COVID-19. As a result, we have decided to reimagine our annual NetApp INSIGHT Paris and Berlin events to be fully digital. We’re als ... View more
