Staff Applied Scientist

Own Every Moment at NetApp
At NetApp, your ideas power innovation. We lead in intelligent data infrastructure—delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud.
Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function.
Job Summary
CPTO is looking for an Applied Scientist who is passionate about bridging the gap between AI research and large-scale production systems. In this role, you will not just apply off-the-shelf models; you will design, build, and iterate on novel algorithmic solutions to complex, ambiguous business problems.
Job Requirements
Familiarity with the design and development of system software.
12+ years of hands-on experience in coding of AI/ML.
Knowledge of Unix/Linux System Programming and Multithreaded programming.
Expertise in algorithms, data structures, and multi-threaded programming is essential.
Commitment to sound software engineering practices and a passion for quality.
Proven track record of meeting tight deadlines without sacrificing quality.
Strong communication skills, both written and oral, targeted at a wide variety of internal and external audiences.
Ability to understand customer deployment scenarios and experience in collaborating with peer teams outside of engineering.
Familiarity with database technologies such as NoSQL, Prometheus and datalake.
Hands-on experience with code conversion tools like Git.
Knowledge of software deployment - Docker/Kubernetes
Key Responsibilities:
Research & Design: Formulate complex business problems into formal mathematical frameworks
Design, experiment with, and evaluate advanced ML models, Deep Learning architectures, and statistical methods
Prototyping to Production: Write clean, maintainable, and scalable code
Own the end-to-end lifecycle of ML models, from data ingestion and training to deployment and post-launch monitoring
Scale & Optimize: Optimize model performance, latency, and resource utilization for high-throughput, low-latency production systems (e.g., distributing training, quantization, or optimizing inference graphs)
Technical Leadership: Stay at the forefront of AI research (LLMs, Retrieval-Augmented Generation (RAG), vector intelligence, multi-modal systems).
Mentor junior engineers and scientists, and foster a data-driven engineering
Education
IC - Typically requires a minimum Bachelor/Master of Engineering in Computer Science; or equivalent experience.
12–15 years of hands-on experience in Data Science and related analytics disciplines.
At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.
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 You'll Thrive at NetApp
At NetApp, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure.
NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security.
Our culture
We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do.
If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
Submitting an Application
To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application.
AI Disclosure
For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support—rather than replace—human decision-making.

Work arrangement
Hybrid