דרושים » הנדסה » GenAI Tech Lead בתחומי הייעוץ וראיית החשבון,

We are seeking a skilled AI/ML engineer with strong software development skills to join our dynamic team. The ideal candidate will have experience in model evaluation, improvement, and analysis, as well as hands-on experience with AI and GENAI technologies. Knowledge of AWS and GPU computing is an advantage. Experience with RAG-based projects and vision language models is a significant advantage.
Key Responsibilities:
Evaluate and improve machine learning models.
Perform statistical analysis and interpret model results.
Develop and implement AI models using Python.
Utilize AWS services for model deployment and management - advantage.
Leverage GPU computing for accelerated model training and inference - advantage.
Collaborate with cross-functional teams to integrate AI solutions into products.
Stay updated with the latest advancements in AI and machine learning.

we are looking for an experienced HPC Engineer to join the E2E software verification HPC/AI Infrastructure team. we are focused on building supercomputers and HPC clusters based on groundbreaking technologies. We are looking for an outstanding architect for a senior HPC, be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in artificial intelligence and GPU computing. Provide insights on at-scale system design and tuning mechanisms for large-scale compute runs. You will work with the latest Accelerated computing and Deep Learning software and hardware platforms, and with many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms.
What you will be doing:
Design, implement and maintain large scale HPC/AI clusters with monitoring, logging and alerting
Manage Linux job/workload schedules and orchestration tools
Develop and maintain continuous integration and delivery pipelines
Develop tooling to automate deployment and management of large-scale infrastructure environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources
Deploy monitoring solutions for the servers, network and storage
Perform troubleshooting bottom up from bare metal, operating system, software stack and application level
Being a technical resource, develop, re-define and document standard methodologies to share with internal teams
Support Research & Development activities and engage in POCs/POVs for future improvements.

we are looking for an HPC and AI Data Center Engineer to join the networking cloud solutions HPC/AI Infrastructure team. We are focused on building supercomputers and HPC clusters based on groundbreaking technologies. We are looking for a lab manager, be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in artificial intelligence and GPU computing. Take part of building large-scale compute and Deep Learning software and hardware platforms, work together and support many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions.
What you will be doing:
Plan and build complex cluster and supercomputers in various of data center and labs
Rack stack and cable management to ensure efficient use of space and easy maintenance
Ensure data centers and labs power and cooling efficiency while optimizing rack space utilization
Data centers and labs daily operation and support
Installations for variety of infrastructure and solutions - Cloud, VMs, Storage, Network, HPC and AI
Perform troubleshooting - network, optic cabling, bare metal, operating system.
Support Research & Development activities.

Our Research and Innovation Center, is looking for an experienced hands-on software architect with expertise in Cloud, AI, and Distributed Systems to join our AI-accelerated Cloud Storage group. The team designs and develops cutting-edge cloud technologies that power next-generation AI applications, optimizing performance, scalability, and efficiency.
The role involves both high-level system understanding and low-level grasp of the connection between storage and AI, to push the boundaries of cloud infrastructure for AI workloads. If you want to be part of something bigger, if you are a team player with excellent communication skills and the motivation to revolutionize AI-driven cloud technologies, youre welcome on board!

our company's networking performance team is developing tools for benchmarking and profiling our company's cutting-edge networking technologies. Our products are used by engineers within our companyand across the industry to optimize networking performance quickly and accurately. We are evolving our suite of expert-driven tools to create an AI-powered assistant that can autonomously benchmark and analyze complex networking performance issues in the world's most advanced data centers. This is an opportunity to work on an innovative strategic project, combining systems engineering with cutting-edge generative AI, directly impacting how our company's top customers optimize infrastructure.
What You'll Be Doing:
Build the core components of our AI assistant, translating a visionary architecture into a robust, production-ready system
Enhance and extend our core telemetry capture engine (Python and C++) to provide the high-fidelity data needed for analysis
Develop intelligent agents and workflows using modern AI frameworks to automate the 'benchmark-analyze-remediate' lifecycle
Design and implement sophisticated techniques for grounding LLMs with private data (e.g., RAG), ensuring the assistant's outputs are factually accurate and reliable
Partner closely with our domain experts in performance benchmarking and data analysis to create a cohesive, end-to-end platform.

we are at the forefront of AI-driven innovation in VLSI design automation. Join us to shape the future of semiconductor design with cutting-edge AI tools and make a significant impact in a collaborative, high-performance environment. Are you ready to push the boundaries of whats possible in VLSI CAD? Come be part of our pioneering team!
What you'll be doing:
You will be responsible for developing and integrating advanced CAD solutions and automation flows using AI and machine learning for VLSI design, verification, and implementation.
Work closely with design, verification, and CAD teams to identify areas for improving VLSI workflows using advanced tools and methods.
Research, prototype, and deploy AI-based algorithms.
Develop and maintain scripts and automation infrastructure to enable seamless adoption of AI tools in the VLSI design process.
Continuously review emerging AI technologies and methodologies to keep our CAD environment up-to-date.
Provide technical support and training to engineering teams on AI-enabled CAD flows and best practices.

we are a leader in accelerated computing, driving innovation across industries with groundbreaking technologies in AI, graphics, and high-performance computing. Our networking products, including InfiniBand and Ethernet solutions, power some of the worlds largest data centers, enabling unparalleled scalability and efficiency for AI and scientific workloads. In the realm of security, our company has a long history of providing secure solutions for AI products and securing the AI pipeline.
We are seeking expert AI engineers who are passionate about advancing cybersecurity research to join our team. This is an opportunity to work on groundbreaking projects that involve AI to secure high-performance networking systems.
What you'll be doing:
Research novel AI techniques to secure next-generation networks and apply them to existing our company products.
Investigate and analyze network telemetry for indicators of vulnerabilities in secure environments.
Collaborate with our company researchers to explore innovative ways to improve security in networking products.
Contribute to projects that have potential real-world impact on NVIDIA's product portfolio.