
Leading supplier of end-to-end high speed Ethernet and InfiniBand intelligent interconnect solutions and services.

Leading supplier of end-to-end high speed Ethernet and InfiniBand intelligent interconnect solutions and services.
Company: NVIDIA
Core focus: Accelerated computing and AI infrastructure (GPUs, data center and AI systems, edge/robotics, automotive)
Founded: April 1993
Public company / Investor relations: Maintains an active investor relations portal with quarterly results and presentations
High-performance graphics, machine learning/AI acceleration, and full-stack AI infrastructure for enterprise, cloud and edge use cases.
1993
Semiconductors / AI infrastructure
Historical financing and IPO-related information are documented on financial profiles; NVIDIA also deploys strategic investments in startups (examples reported)
$2B
Reported $2B investment to support CoreWeave's AI compute expansion
NVIDIA is 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 what’s 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. What We Need To See * B.Sc./M.Sc. in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience. * 5+ years of experience in VLSI CAD tool development, with a strong focus on integrating AI/ML techniques into EDA workflows. * Proficiency in Python and at least one AI/ML framework (such as TensorFlow, PyTorch, or scikit-learn). * Hands-on experience with VLSI physical design and familiarity with industry-standard EDA tools (e.g., Synopsys, Cadence). * Knowledge of data preprocessing, feature engineering, and model deployment as applied to VLSI design challenges. * Experience developing and maintaining automation scripts (Python, Perl, Tcl, Make). * Strong analytical skills in evaluating the impact of AI solutions on design quality, performance, and productivity. * Excellent communication skills and the ability to work cross-functionally in a fast-paced environment. * Self-motivation, attention to detail, and a track record of delivering robust solutions to production. Ways To Stand Out From The Crowd * Demonstrated experience deploying AI/ML models in production VLSI CAD environments. * Contributions to open-source AI/EDA projects or publications in relevant conferences/journals. * Deep understanding of VLSI design challenges-such as timing closure, power optimization, or yield enhancement-and how AI can address them. * Experience with cloud-based or distributed compute environments for large-scale AI training and inference. * Strong ownership, curiosity, and a passion for continuous learning and innovation. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. JR1997583
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