3 Gpu Cuda Jobs

Company: Blubridge Technologies Pvt Ltd Role: Hardware / Systems Engineer (Infrastructure) - R&D Vacancies: 5 Year of Passing Out: 2025, 2024, 2023 Education: Bachelor's/ Diploma in any discipline Job Location: Mandaveli, Chennai Key Responsibilities: Assist in setup, monitoring, and maintenance of GPU-based research server systems and network hardware. Manage system configurations, power/cooling requirements, and connectivity setups for compute clusters. Coordinate with vendors and support teams for hardware servicing, upgrades, and troubleshooting. Maintain inventory of research infrastructure assets, ensuring performance and reliability. Implement and monitor power backup, air cooling, and data-center grade best practices. Support secure access, uptime monitoring, and compliance for mission-critical research systems. Participate in internal efforts to build and benchmark custom server infrastructure tailored for large-scale AI model training. Contribute to ongoing infrastructure research, including system optimization, hardware-software integration, and experimental rack-level design. Support the evaluation, research, and deployment of the latest hardware stacks like ADA lovelace, Blackwell architecture for pretraining our foundation model. Requirements: Bachelors degree or diploma in Electronics, Computer Science, Information Technology, or a related field. High logical reasoning and a strong desire to understand system architecture and AI infrastructure. Basic knowledge of computer hardware, networking, and server maintenance. Willingness to work hands-on with physical infrastructure and troubleshoot hardware-level issues. Strong communication skills and a collaborative mindset to work with researchers and engineers. Added Advantage: Familiarity with Linux environments or system utilities is a plus. Exposure to server clusters, GPU management, BIOS configurations, or research compute environments is advantageous. Why Join Blubridge: Directly contribute to AI research infrastructure. Collaborate with researchers working on the advance of LLM architecture and scaling. Work hands-on in building our own custom compute infrastructure optimized for our training model. Gain rare experience with high-performance compute environments, including NVIDIA latest Blackwell-based systems. Be part of a curious, driven, and research-oriented team building deep systems capability.

National Payment Corporation of India (NPCI) is hiring Data Scientist (with Deep Learning Experience) Job Title: Data Scientist (Deep Learning Strong experience) Experience: 2 Years to 8 Years MUST HAVE SKILLS REQUIRED: (STRONG) Programming & DH : Python, Data Structures, Algorithms (STRONG) Data Handling : Python, EDA, Statistics, Probability Distributions (STRONG) Learning & Deep Learning : TensorFlow, PyTorch, GANs, Transformers (STRONG) Cloud & GPU: GCP, GPU-based machines, Model Optimization (STRONG) Model Lifecycle : Custom Loss Functions, Evaluation Metrics, Scalability If you find yourself Perfectly fit based on above skillset criteria. Please share your Updated resume at vinayak.ojha_ori@npci.org.in Overview: NPCI Data Analytics team is seeking a talented and motivated Data Scientist to join our team. As a Data Scientist, you will play a crucial role in modelling complex problems, uncovering insights, and identifying new opportunities through the use of statistical, algorithmic, mining, and visualization techniques. You will be focused on utilizing NPCI product data and analytics to solve business problems by applying machine learning and deep learning techniques, conducting statistical analysis, and building high-quality predictive systems that are integrated with our services. Key Responsibilities: Develop and implement deep learning models for various applications. Work with large datasets and perform exploratory data analysis. Develop custom loss functions and evaluation metrics. Collaborate with cross-functional teams to ensure successful deployment of models. Optimize models for performance, scalability, and efficiency. Conduct research and stay up to date with the latest developments in the field of deep learning. Participate in code reviews and provide feedback to team members. Qualifications: Bachelor's or Master's degree in Computer Science, Mathematics, or related field with 3+ years of experience. Strong proficiency in Python programming language. Good understanding of data structures and algorithms. Strong understanding of statistics and probability distributions Hands-on Experience with GANs and Transformers Experience with both Tensorflow and Pytorch frameworks. Familiarity with Google Cloud Platform (GCP) and working on GPU based machines. Strong problem-solving skills. Excellent written and verbal communication skills. Ability to work independently as well as in a team environment. Strong Communication skills and ability to simplify complex information and results into simple concepts and actionable insights for a variety of audiences.

Blubridge is an LLM research lab focused on building next-generation Large Language Models and foundational AI systems. Alongside our research, we operate in the AI Consulting domain, delivering innovative AI solutions. We are rapidly scaling our GPU infrastructure and seeking a skilled Hardware/Systems Engineer to lead our compute backbone. Key Responsibilities: Architect, configure, and maintain high-performance GPU systems (H100, H200, B200, etc.) Design compute nodes and interconnects using PCIe, SXM, NVLink, InfiniBand Manage data center setups: rack layout, cooling, power, UPS/load balancing Build and maintain storage solutions (NVMe RAID, NAS/SAN) for AI workloads Benchmark and optimize hardware utilization (throughput, latency, bottlenecks) Collaborate with AI researchers to scale and troubleshoot workloads Manage Linux servers (Ubuntu, CentOS), BIOS tuning, firmware upgrades Monitor and automate compute cluster uptime and maintenance Required Qualifications & Skills: B.E/B.Tech in ECE, CSE, IT, Mechatronics, Robotics or related fields (2024/2025 pass-outs) Experience or projects in hardware system design, HPC setup, AI infrastructure Understanding of GPU architectures (PCIe vs. SXM, NVLink, GPU clustering) Familiarity with AMD EPYC/Intel Xeon, NVMe storage, 25G+ networking Knowledge of rack integration, thermal management, power planning Proficient in Linux server deployment and hardware automation Preferred: Experience with cloud/hybrid GPU infrastructure (AWS, OCI) Contributions to open hardware or benchmarking communities What We Offer: Ownership of AI labs hardware backbone Access to latest GPUs and enterprise-grade infrastructure Collaborative R&D environment Competitive salary and performance incentives Opportunity to impact AI infrastructure and consulting projects Apply now to join an innovative AI research and consulting team driving next-gen foundational models!