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Our Networking Software Group is rapidly growing, and we are hiring a Software Engineer for the InfiniBand Switch Software Development team. Come and join a diverse group of engineers spread across the globe who come together in small close knit teams to innovate and develop groundbreaking solutions.

As a member of the team, you will be a part of a cutting-edge Python-based SW project using advanced techniques to solve complex issues. You will gain unique knowledge of how operating systems work, Linux kernel and how large scale networks are constructed. Teams utilize the latest software engineering methodologies and tools in an agile fashion to release on time. Are you ready for this challenge? The Networking Hardware Acceleration team develops a cutting-edge, high speed API for NVIDIAs Network Interface Cards (NICs). We power foundational projects like DPDK and DOCA-Flow, driving next-generation networking performance. Join us to gain deep insights into NVIDIAs hardware acceleration technology and make a meaningful impact on both software and hardware innovation.

What Youll Be Doing:
Learn new networking features, plan their verification strategy, and implement it on top of a Python-based in-house developed environment.
Design, develop, optimize, and maintain an OS/Kernel verification testing platform.
Collaborate with team members, architects, design, QA teams, and customers (both external and internal).
Innovate! We are always looking for new ways to make NVIDIA's Networking driver products shine in customers' eyes.

We are looking for best-in-class Chip Design Verification and Design Engineers to join our outstanding Networking Silicon engineering team, developing the industry's best high speed communication devices, delivering the highest throughput and lowest latency! Come and take a significant part in designing and verifying our groundbreaking and innovating new chips, enjoy working in a meaningful, growing and highly professional environment where you make a huge impact in a technology-focused company.

What you'll be doing:

Take a crucial part in developing our next-generation chip controller.

Design and verification with challenging multi-discipline context.

Take part in the development of all our networking and GPU networking chips and systems.

We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, signal processing, information retrieval, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, AI Core Machine Learning (PhD) Responsibilities
Develop novel state-of-the-art machine learning algorithms and corresponding systems, leveraging various deep learning techniques.
Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms.
Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence.
Devise better data-driven models for information retrieval, Multi-modal fusion, generation or media understanding (CV, NLP, Speech/ Audio).
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
Contribute to research that can be applied to our company product development.

Were looking for a student to join our team as a Junior BizOps team member. This role is a hands-on role assisting the department with daily and ongoing tasks.

Youll be working with the different CRM and data systems to assist the team with building new processes, data oversight, quality,setup, documentation and more.


Key Responsibilities

Review CRM data for accuracy and relevance and update where needed
Troubleshoot basic CRM related issues
Oversee accuracy of deals data and other manual inputs
Review sales /sdr processes as seen in the CRM and flag discrepancies and deviations
Assist in documentation creation and knowledge base organization
Setup new flows / playbooks / segments etc. in CRM according to team guidance

We are now looking for a Chip Design Verification Engineer. We are seeking a verification engineer to join the chip design methodologies team. The team is in charge of the verification methodologies, shared code, training, and embracing new technologies. One of our main goals is to make sure that the team works in an efficient manner, and provides high-quality deliveries. This position offers the opportunity to have real impact in a dynamic, technology-focused company.

What you'll be doing:

Develop shared verification code and solutions to be widely used by the chip design team.

Develop groundbreaking methodologies to create a flawless experience for verification engineers to keep the focus on new problems.

Collaborate with the design automation team to provide end-to-end solutions that combine verification, simulation, and automation.

Get in touch with EDA vendors to learn about cutting-edge tools/technology and apply them into our verification process.

Understand the design, define the verification scope, develop the verification infrastructure and verify the correctness of the design.

Collaborate with designers, verification specialists to accomplish your tasks.

Develop training sessions.

Are you passionate about leveraging cutting-edge AI to solve real-world business challenges? Join a leading financial institution and be part of a high-impact AI team shaping the future of risk, service, marketing, fraud detection, and more.
As an AI Algorithm Developer, you'll design and develop advanced GenAI-driven algorithms that tackle complex problems across departments, harnessing data to create scalable, intelligent solutions.
?? What Youll Do:
Develop and implement Machine Learning and GenAI algorithms across diverse business domains. Leverage advanced data and AI methodologies to optimize organizational performance. Work on NLP, LLMs (e.g., ChatGPT, BERT), transformers, and other state-of-the-art technologies. Collaborate with data scientists, engineers, and business units to bring AI innovation into production.

Our smART+™ platform is a sensor-based feeding system for intensive care unit (ICU) patients. It aims to prevent life-threatening complications such as ventilator-associated pneumonia, malnutrition, and acute kidney injury. We recently introduced Nutrition Management 2.0™, which is a comprehensive, guideline-driven approach that aims to improve nutrition while reducing feeding complications. Combined with our smART+™ platform, it monitors, analyzes, and prevents malnutrition and gastric aspirations in real time. By improving nutrition and achieving 100% feeding efficiency, the smART+™ platform greatly reduces hospital-acquired complications and speeds up ICU patient recovery. This is a temporary position (Maternity Leave Cover) for a period of approximately 8-9 months, with an option to extend to permanent employment. The QA Engineer Non-Conformity Leader shall have a responsibility that includes:
* Provide technical support in documenting & maintaining the Quality Management System through knowledge & understanding of ISO13485 & MDR.
* Alert management on critical issues and delay in tasks closure .
* continues improvements on the relevant processes.
* Co-operate with RA/QA/QC team to comply with regulations.
* Provide technical support in documenting & maintaining the Quality Management System through knowledge & understanding of ISO13485 & MDR.
* Review requirements, specifications and technical design documents to provide timely and meaningful feedback.
* Suppliers- Control, monitor and approve all suppliers, perform and approve supplier evaluation, etc.
* Customers- analyzing issues reported via customer feedback, maintaining records and implementing changes to manufacturing when necessary.
* Support QMS- logistic activities for compliance with the approved written procedures and requirements.
* Discussing and solving problems related to manufacturing departments, sub-contractors, suppliers and customers.
* Assist with the development and implementation of regulatory procedures.