Urgent! Principal Engineer, Federated Learning Job Opening In Santa Clara – Now Hiring NVIDIA
The quality of AI models developed is only as good as the data it was trained on, and hence large datasets are necessary to extract complex and predictive patterns.
Compared to the classical centralized training approach, federated learning is a privacy-preserving, distributed learning paradigm which tackles the challenges associated with learning from data in a decentralized way.
We believe federated learning will drive transformative changes across industries like healthcare, financial services, scientific computing, and government.
Imagine developing AI solutions that enable hospitals to collaborate on life-saving research without compromising patient privacy, or financial institutions to enhance fraud detection while safeguarding sensitive data.
Envision edge AI applications that revolutionize autonomous driving, creating vehicles that learn and adapt in real-time.
Come join NVIDIA FLARE team (https://developer.nvidia.com/flare) to build our open source federated learning solutions.
Your work will drive the next wave of innovation, empowering organizations to unlock the full potential of their data while maintaining the highest standards of security and privacy.
What you’ll be doing:
+ Lead the design and development of cutting-edge federated learning solutions.
+ Closely collaborate with researchers world-wide to advance federated learning algorithms and techniques.
+ Work with cross-functional teams in NVIDIA, including data scientists, software engineers, and industry experts, to integrate federated learning solutions into real-world applications.
+ Optimize federated learning system for performance, scalability, ease of use, reliability and security.
+ Leverage NVIDIA's cutting-edge hardware and software platforms to enhance federated learning solutions.
+ Enhance federated learning solutions with the highest standards of data privacy, security, regulations and best practices.
+ Mentor and guide junior engineers, set best engineering practice and process, fostering a culture of continuous learning and innovation within the team.
What we need to see:
+ MS or PhD in Computer Science, Electrical Engineering, or a related field (or equivalent experience).
+ 12+ years of work or equivalent experience in delivering high-performance software systems.
+ 8+ years of architect experience in designing and developing distributed systems.
+ 5+ hands-on working experience with distributed machine learning technologies such as Distributed PyTorch, Horovod, Ray and MPI.
+ 5+ working experience in machine learning libraries like Llama, Nemo, PyTorch, TensorFlow, XGBoost and scikit-learn.
+ Outstanding skills for system and API design.
+ Excellent hands-on programming skills in Python and C++.
+ Advanced knowledge and experience in communication and network protocols such gRPC, HTTPS, TLS.
+ Experience enterprise security such as PKI, authentication and authorization
+ Excellent analytical and problem-solving abilities, with a creative approach to tackling complex technical challenges.
+ Strong technical leadership with a strategic mindset, seeing beyond immediate tactical tasks to envision and drive long-term goals.
Ways to stand out from the crowd:
+ Working experience in federated learning frameworks such as FLARE, Flower, OpenFL, PySyft, and Tensorflow Federated.
+ experience in designing generative AI and agentic AI solutions.
+ Hands on experience in developing edge-based AI solutions.
+ Architect experience in major open-source projects.
+ Direct working experience with NVIDIA software, hardware and SDKs.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers.
We have some of the most brilliant and talented people in the world working for us.
If you're creative, autonomous and love a challenge, we want to hear from you.
Come, join our group and help build the real-time, cost-effective computing platform driving our success in the exciting and quickly growing field of AI.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
The base salary range is 248,000 USD - 391,000 USD.
You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) .
Applications for this job will be accepted at least until September 19, 2025.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.
As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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Unlock Your Principal Engineer Potential: Insight & Career Growth Guide
Real-time Principal Engineer Jobs Trends in Santa Clara, United States (Graphical Representation)
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Great news! NVIDIA is currently hiring and seeking a Principal Engineer, Federated Learning to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at NVIDIA adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Principal Engineer, Federated Learning Jobs United States varies, but the pay scale is rated "Standard" in Santa Clara. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
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Before the Interview:To prepare for your Principal Engineer, Federated Learning interview at NVIDIA, research the company, understand the job requirements, and practice common interview questions.
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