Subsurface Imaging Jobs in Bengaluru

Subsurface AI Specialist Location: Bengaluru, India Company: Chevron Experience: 5+ Years Focus Areas: AI, Machine Learning, Subsurface Data Analysis, Oil & Gas Position Overview The Subsurface AI Specialist will design and implement AI solutions using advanced analytics, modeling, and machine learning to optimize subsurface exploration and production. This role enhances decision-making, automates workflows, and improves resource extraction processes. Key Responsibilities Design and implement AI solutions for subsurface exploration and production. Identify AI opportunities to improve decision-making and automate workflows. Collaborate with Chevron subsurface practitioners and IT teams to deploy innovative AI solutions. Communicate AI value propositions to stakeholders. Ensure ethical AI usage and compliance with data privacy regulations. Analyze and interpret subsurface data to support resource management and decision-making. Key Skills & Qualifications Bachelor s or Master s degree in Geosciences, Petroleum Engineering, Computer Science, or related field. Minimum 5 years of hands-on experience in AI solution development for complex business problems. Knowledge of the oil and gas value chain (upstream, midstream, downstream). Strong background in machine learning, data science, and AI technologies. Proficiency in programming languages such as Python, C++, and cloud AI/ML services like Azure and Databricks. Preferred Qualifications Experience with Agentic AI. Benefits Competitive salary and benefits package Health, dental, and vision insurance Retirement savings plan Paid time off, including vacation and sick leave Opportunities for professional development Apply Now If you are passionate about AI and innovation in the energy sector, apply today to join Chevron's Subsurface team! Equal Opportunity Statement Chevron is an equal opportunity employer, committed to diversity and inclusion in the workplace. Qualification : Bachelors or Masters degree in Geosciences, Petroleum Engineering, Computer Science, or related field.

Job Title: Computer Vision Location: Bengaluru, India Type: Full-time Roles and Responsibilities: Constantly research, prototype and build solutions to computer vision problems. Actively find new solutions that we can provide to industry-specific problems. Build prototypes to display new analysis and insight. Build new tools to streamline the overall process flow as requirements develop. Add new features to existing tools. Requirements: Strong command over all computer vision related use-cases, algorithms and approaches. Familiarity with Deep Learning frameworks such as TensorFlow (and keras), PyTorch, and strong experience in at least one of those. [Using Python programming language is a must.]. Familiar with different machine learning algorithms and when to use them. Strong math fundamentals in areas including but not limited to linear algebra and computational geometry. Ability to write clean, concise and well documented code. Familiar with version control, writing tests and writing documentation. Open to learning new technologies and languages. Comfortable working in a low monitoring/guidance environment. Strong sense of initiative, ownership, urgency and drive. Experience in training and applying CNNs on various datasets. Excellent organisational and leadership skills. Basically we re looking for people who are passionate about solving problems, and doing things the best way. If this is like you, we look forward to hearing from you. Years of Experience: 2- 8 years

General Summary: Qualcomm is at the forefront of technology innovation, enabling next-generation experiences and driving digital transformation to create a smarter, connected future. As a Qualcomm Systems Engineer, you will research, design, develop, simulate, and validate systems-level solutions, collaborating across functional teams to meet and exceed system-level requirements. The Automotive System Performance team optimizes multimedia performance on Snapdragon Automotive chipsets, covering technologies like Camera, Video, Graphics, and Display. Responsibilities: System Optimization: Support profiling and optimization of system use cases related to multimedia performance on automotive platforms. Hardware Understanding: Set up and manage hardware configurations in lab environments and conduct performance testing. Multimedia Performance Validation: Work on IP hardware functional and performance validation for multimedia domains such as Camera, Video, Display, GPU, and Audio. Debugging and Issue Resolution: Passionately debug system-level issues, utilizing Android system tools, JTAG, scripting, and other debugging tools. Cross-Team Collaboration: Work with global, cross-functional teams to meet project milestones and ensure successful execution of performance-related tasks. Pre-Silicon and Emulation Work: Leverage expertise to work in pre-silicon/emulation environments as needed. Required Skills and Experience: Experience: 6 8 years in embedded systems with expertise in multimedia hardware architecture and device driver development. Hardware Fundamentals: Strong knowledge of display, video, and camera basics; DDR, SMMU, NOC; system interconnects; and bus protocols like AXI/AHB. SoC Architectures: Deep understanding of Auto/Mobile SoC architectures and multimedia subsystems' data flows. Processor Expertise: Basics of ARM architecture, including multicore/multiprocessor systems with SMP/heterogeneous cores. Programming Skills: Proficiency in C programming for embedded platforms. Operating Systems: Familiarity with Linux kernel internals, scheduling policies, locking mechanisms, MMU/paging, and RTOS concepts. Validation Experience: Prior experience in silicon or emulation-based validation of hardware performance in multimedia domains. Debugging Tools: Experience with Android system tools, debugging tools, and scripting. Cross-Functional Skills: Ability to collaborate across geographies and teams, demonstrating excellent communication and problem-solving skills. Preferred Skills: Exposure to working in emulation/pre-silicon environments. Experience with system QoS, performance monitoring, and profiling tools. Familiarity with Android/Linux kernel fundamentals and multimedia technology stack. Educational Requirements: Required: Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related fields. Preferred: Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related fields. Why Join Qualcomm? Cutting-Edge Innovation: Be part of a team driving next-generation automotive multimedia technologies. Global Collaboration: Work alongside talented professionals from diverse geographies and functional areas. Professional Growth: Opportunities to develop and advance within a company leading the technology sector. Impactful Work: Contribute to the development of automotive platforms that redefine connectivity and multimedia performance. Qualification : Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related fields.

Position: Senior Data Scientist LLM Location: Bangalore, Karnataka, India Type: Full-Time (On-site) Experience Required: 2+ years in Deep Learning, 1+ years in LLMs Industry: Healthcare AI Company Overview: 5C Network is pioneering multi-modal AI systems for autonomous diagnosis in medical imaging. We're building next-generation models that integrate deep learning with language understanding to revolutionize clinical workflows and diagnostic accuracy. Role Summary: As a Senior Data Scientist LLM, you will lead the development and deployment of Large Language Models (LLMs) focused on enhancing medical imaging diagnostics. You ll work on cutting-edge problems such as instruction fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG), while ensuring scalability and robustness in production environments. Key Responsibilities: LLM Development & Fine-Tuning Design and optimize prompts for diverse clinical and imaging-related use cases. Perform instruction fine-tuning of LLMs to meet task-specific requirements. Develop reasoning pipelines including Chain of Thought (CoT) techniques for complex diagnostic workflows. LLM Deployment & Optimization Self-host and deploy LLMs in secure, scalable production environments. Apply quantization and other performance optimization methods to minimize compute and memory footprint. Ensure high performance, uptime, and security in AI deployments. Retrieval-Augmented Generation (RAG) & Vector Databases Develop and implement RAG pipelines by integrating LLMs with semantic search. Work with vector databases (e.g., Qdrant) to enable fast, efficient retrieval of contextual data. Optimize data storage, indexing, and retrieval to support clinical applications. Data Engineering & Annotation Build and manage high-quality datasets tailored for CoT and multi-step reasoning tasks. Lead data annotation efforts to enhance LLM understanding of medical contexts. Collaboration & Research Collaborate with researchers, ML engineers, and domain experts to bring LLM solutions from prototype to product. Stay ahead of the curve by experimenting with novel LLM architectures and emerging techniques. Qualifications: Bachelor's or Master s degree in Computer Science, Data Science, AI, or a related field. 2+ years of hands-on experience in deep learning. Minimum 1 year of experience working with LLMs (e.g., instruction tuning, prompt engineering, RAG). Prior experience in LLM deployment (self-hosting, optimization, quantization, scaling). Proficient in Python and common ML frameworks (e.g., PyTorch, Hugging Face Transformers). Familiarity with vector databases like Qdrant or similar. Strong interest or prior exposure to healthcare/medical AI. Excellent problem-solving, communication, and team collaboration skills. Technical Stack: Languages: Python Frameworks: PyTorch, Hugging Face Technologies: LLMs (e.g., GPT, LLaMA), Vector Databases (Qdrant), RAG, Quantization Tools: Docker, Kubernetes, REST APIs, Git Work on high-impact AI solutions in the healthcare domain. Collaborate with a team at the forefront of multi-modal diagnostic technology. Access cutting-edge tools and real-world data to drive innovation. Qualification : Bachelor's or Masters degree in Computer Science, Data Science, AI, or a related field.

Position: Quality Assessors (Radiology) Location: Bangalore, Karnataka, India Type: Full-Time Experience Required: 2 8 years Qualifications: B.Sc. in Radiology or Imaging Technology Job Summary: We are seeking dedicated and detail-oriented Quality Assessors / Radiographers to join our dynamic team. This is a unique opportunity to be part of a rapidly evolving healthcare ecosystem, working alongside leading radiologists and AI experts to transform diagnostic care through technology. Recent graduates or professionals with a B.Sc. in Radiology or Imaging Technology Candidates passionate about quality in healthcare and looking to grow within a technology-driven environment Key Responsibilities: Perform quality assessments of medical imaging studies to ensure accuracy and diagnostic value Collaborate with radiologists and AI engineers to support model validation and improvement Maintain documentation and compliance with clinical and regulatory standards Provide feedback on imaging quality and assist in continuous improvement initiatives What We Offer: Competitive Salary: Attractive compensation with additional benefits Professional Development: Ongoing training, mentorship, and skill-building opportunities Innovative Work Environment: Access to cutting-edge imaging and AI tools in a state-of-the-art facility Career Growth: Clear advancement pathways in a fast-growing healthcare AI organization Pioneers in AI Healthcare: Work at the forefront of artificial intelligence in radiology Commitment to Quality & Care: Make a meaningful impact on patient outcomes Tech-Enabled Innovation: Hands-on experience with the latest technologies and medical imaging systems Qualification : B.Sc. in Radiology or Imaging Technology

Position: Senior Data Scientist - AI Employment Type: Full-Time Location: Bangalore, Karnataka, India Experience Required: 2+ years Job Summary: 5C Network is developing multi-modal AI solutions for autonomous diagnosis of medical imaging. This role focuses on building and deploying advanced AI models using Computer Vision and Vision Language Models to analyze CT and MRI scans, helping detect, segment, and classify abnormalities. Key Responsibilities: Develop, train, and implement computer vision models, VLMs, and 3D models on CT and MRI imaging data. Collaborate closely with leading radiologists and AI researchers from India and the US. Work with product and engineering teams to deploy and operationalize AI models effectively. Contribute to cutting-edge research and assist in publishing findings in academic journals and conferences. Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, or related fields. Proven experience in training and deploying deep learning-based computer vision models. Strong interest or experience in healthcare AI applications. Excellent analytical, problem-solving, and communication skills. Ability to collaborate effectively in a research-driven, team-oriented environment. Technical Requirements: 2+ years of hands-on experience with deep learning. Proficient in Python and deep learning frameworks, especially PyTorch. Experience with well-known computer vision architectures (ResNet, DenseNet, U-Net, Vision Transformers, V-Net, etc.). Expertise in building deep learning architectures from scratch. Experience working with Large Language Models (LLMs) is a plus. Knowledge of model pruning, quantization, and scaling model training and inference on GPUs. Qualification : Bachelors or Masters degree in Computer Science, Data Science, or related fields.

Software Developer C++ Location: Bangalore, Karnataka, India Employment Type: Full-time, Permanent Experience Level: Experienced Professional (6-8 years) Role Overview We are seeking a proactive and skilled Full Stack Developer with deep expertise in C++ to contribute to the development of MR image reconstruction modules integrated with AI. The ideal candidate will actively research and innovate MR reconstruction techniques, improve module performance, and collaborate closely with cross-functional teams to deliver high-quality medical imaging solutions. Key Responsibilities Develop, improve, test, and maintain MR image reconstruction modules. Conduct research to enhance acquisition speed, data extraction, noise/artifact robustness, and overall reconstruction quality. Develop AI inferencing code, prepare data, and support model training activities. Manage code repositories and version control systems such as Git or Azure Repos. Participate actively in design discussions, code reviews, and agile development processes. Troubleshoot and optimize module performance, security, and scalability. Collaborate with product owners and stakeholders to manage backlogs and ensure continuous feature delivery. Required Skills & Qualifications Education: BE/B.Tech/MCA/ME/M.Tech from a recognized institution. Core Expertise: Strong practical experience in C++ development, object-oriented programming, and design patterns. Additional Skills: Python programming experience (advantageous). Knowledge of medical imaging modalities, particularly MRI (preferred). Strong foundation in physics, mathematics, signal processing, linear algebra, probability, and random processes. Understanding of inverse problems, AI, imaging chains, MR reconstruction, and pulse sequences is a plus. Soft Skills: Strong analytical and problem-solving skills, clear communication, and a passion for learning and creative thinking. Tools: Experience with Azure Repos or Git for version control. Experience 6 to 8 years of core development experience with C++. Collaborative work environment fostering professional growth. Challenging projects enhancing technical expertise. Competitive compensation and benefits.

AI Platform Architect Location: Bangalore, Karnataka, India Employment Type: Full-Time About Adobe Adobe is changing the world through digital experiences. Whether you're an emerging artist or a global brand, our tools empower creativity and innovation across every screen. From powerful imaging and video solutions to immersive web and app design, Adobe s mission is to help people and businesses deliver exceptional digital experiences. We are committed to creating an inclusive workplace where everyone is respected and given equal opportunity. Innovation can come from anywhere and the next big idea could be yours. Job Description We are looking for a visionary AI Platform Architect with deep expertise in building and scaling cloud-native, AI-powered platforms. The ideal candidate will have experience deploying large-scale, customer-facing AI solutions and a deep understanding of modern cloud architecture, data systems, MLOps, and LLMOps. Responsibilities Design and develop scalable AI/ML platforms and pipelines across AWS, Azure, and GCP. Architect end-to-end LLM pipelines including model training, fine-tuning, serving, inference APIs, and monitoring. Lead cross-functional teams in delivering AI solutions from experimentation to production. Implement MLOps and LLMOps best practices using tools like MLFlow, SageMaker, Langchain, and LangGraph. Design GPU-optimized architectures for training and inference of LLMs using DeepSpeed, vLLM, and other modern frameworks. Support infrastructure automation and container orchestration with Kubernetes, Docker, and CI/CD pipelines. Collaborate with internal stakeholders and clients to understand requirements, evangelize platform solutions, and ensure successful delivery. Key Skills and Expertise Cloud and DevOps: Expertise in AWS, Azure, GCP especially VPC design, cloud databases, and serverless architecture. Certified in AWS Professional Solution Architect, AWS ML Specialty, or Azure Solutions Architect Expert (preferred). Proficient with Kubernetes, Docker, FluentD, Kibana, Grafana, Prometheus. Data and Streaming: Experience with OLTP/OLAP databases and cloud-native data warehouses like BigQuery, Aurora, Spanner. Hands-on with Kafka, Apache Flink, Spark, Airflow, Databricks, Apache Iceberg, Presto. AI/ML & LLM Expertise: In-depth understanding of LLMs (GPT, Gemini, Claude, Mixtral, Llama, Hugging Face OSS models). LLMOps frameworks: Langchain, Langgraph, Langflow, Flowise, LLamaIndex. ML lifecycle tools: MLFlow, SageMaker, Vertex AI, Azure AI, AWS Bedrock. Proven experience in model optimization, fine-tuning, and high-throughput inference systems. Programming Languages: Proficient in Python, SQL, and JavaScript. Preferred Qualifications 10+ years in cloud and AI/ML platform architecture roles. Experience delivering AI solutions for enterprise-scale clients. Hands-on experience with GPU architecture and parallel/distributed training. Strong communication skills with ability to influence technical and business stakeholders. Work on cutting-edge AI technologies and shape future product experiences used by millions. Collaborate with world-class engineers and scientists in a diverse, inclusive culture. Be part of a company that values creativity, innovation, and employee well-being. Adobe is proud to be an Equal Opportunity Employer. We welcome and encourage candidates from all backgrounds to apply.

Machine Learning Engineer 5 Location: Bangalore, Karnataka, India Employment Type: Full-Time About Adobe Adobe is transforming the world through digital experiences. From individual creators to global enterprises, our tools empower everyone to create stunning visuals, videos, applications, and more. We believe in fostering an inclusive and innovative workplace where ideas can come from anyone, anywhere and the next big breakthrough could be yours. The Opportunity Adobe Express enables users from beginners to professionals to design eye-catching content with ease, powered by advanced AI technologies. At the heart of this mission is the AI Foundations team, which is building modular, reusable AI systems and the Horizon AI Stack to supercharge the Adobe Express experience. As a founding member of this elite team, you will tackle strategic AI challenges and deliver scalable, high-impact solutions. What You ll Do Drive the vision and development of reusable, cloud-scale AI systems for Adobe Express. Collaborate with Adobe Research, Applied AI teams, and engineering stakeholders to align AI capabilities with product strategy. Lead all aspects of ML product development: data pipelines, model development, and quality evaluations. Recruit, mentor, and manage a high-performing team of ML engineers and data scientists. Balance cutting-edge research with business-critical deliverables prototyping new ideas, validating, and scaling them. Foster a culture of innovation, experimentation, and scientific rigor focused on solving customer problems. Ensure engineering excellence in architecture, development, and on-time delivery of AI solutions. Basic Qualifications Bachelor s, Master s, or Ph.D. in Computer Science, Machine Learning, Applied Math, Data Science, or related field. 8+ years of industry experience in machine learning, deep learning, or optimization algorithms. 3+ years of experience managing ML/AI teams in a product-focused environment. Preferred Qualifications Experience working in creative tools, design platforms, or imaging domains. Familiarity with LLMs, Diffusion Models, and generative AI techniques. Proven experience in building large-scale, production-grade ML systems. What You Need to Succeed Demonstrated success in building and managing top-tier ML teams that deliver high-quality solutions. Experience shipping widely adopted AI-driven features to large customer bases. Customer-obsessed with a strong product sense and ability to translate user needs into AI capabilities. Outstanding communication skills able to articulate technical ideas to both technical and non-technical audiences. Strong problem-solving, leadership, and strategic decision-making abilities. Work at the intersection of creativity and AI building technologies that empower millions of users globally. Collaborate with world-class researchers and engineers in a mission-driven, inclusive environment. Enjoy robust career growth, leadership opportunities, and excellent employee benefits. Adobe is proud to be an Equal Opportunity Employer. We believe diversity fuels innovation and we re committed to building an inclusive environment for all employees. Qualification : Bachelors, Masters, or Ph.D. in Computer Science, Machine Learning, Applied Math, Data Science, or related field.

Job Title: Power Optimization & Performance Engineer Windows Platforms Job Description: Intel is seeking a Power Optimization & Performance Engineer to drive power efficiency and responsiveness enhancements across Windows platforms. The role involves deep analysis of software workloads, power-performance tuning, and debugging complex system-level issues to optimize Intel s laptop and desktop platforms. The engineer will work closely with platform architects and cross-functional teams to define power-performance metrics, develop battery life improvement strategies, and drive forward-looking technology readiness initiatives. Key Responsibilities: Power & Performance Analysis: Perform in-depth analysis of software flows at the trace, thread, and process ID levels to identify power optimization opportunities and performance bottlenecks. Platform Power Optimization: Leverage state-of-the-art analysis tools to identify and resolve battery life and performance issues in domains such as Graphics, Multimedia, Display, Imaging, and CPU. Technical Leadership & Troubleshooting: Diagnose complex system-level power and performance issues, demonstrating strong debugging expertise in Windows-based Intel platforms. Cross-Team Collaboration: Work with platform architects and engineers to define power-performance metrics, optimize power delivery across SoC components, and influence next-generation platform architectures. Windows OS & Driver Optimization: Identify and drive power savings features or performance tuning opportunities into current and next-gen Intel platforms. Collaborate with OS and driver teams for power-aware enhancements. Future Technology Readiness: Analyze expected vs. actual platform behavior, propose forward-looking enhancements, and influence SoC and Windows OS architectures. Qualifications & Experience: Educational Requirements: B.Tech/M.Tech in Electronics or Computer Engineering or related fields. Technical Expertise: Embedded Systems & Software Development: Experience in software/firmware development, integration, or validation. Platform Power Management: Understanding of CPU/SoC architecture, power delivery, sensors, memory, storage, display, multimedia, and imaging subsystems. OS & System Debugging: Strong grasp of Windows OS fundamentals, system-level debugging, and exposure to firmware & device drivers. Windows Debug Tools: Experience with Windows Driver Debugging and Windows Debug tools (preferred). Power & Performance Optimization: Hands-on experience with power-performance measurement, analysis, and benchmarking. Analytical & Problem-Solving Skills: Ability to troubleshoot complex system issues and propose efficient power-saving techniques. Excellent Communication & Collaboration: Strong ability to interact across teams and drive technical discussions. About Intel s Client Computing Group (CCG): The Client Computing Group (CCG) drives Intel s PC business strategy and product development, spanning notebooks, desktops, 2-in-1s, and all-in-ones. As Intel s largest business unit, CCG is dedicated to enhancing PC experiences, fostering innovation, and delivering market-leading computing solutions. Intel s Commitment to Diversity & Inclusion: Intel is an equal opportunity employer that values diversity and welcomes applications from all qualified candidates, regardless of gender, nationality, disability, or other protected status. Intel offers a highly competitive compensation and benefits package, including: Competitive salary, stock options, and performance-based bonuses. Comprehensive health, retirement, and vacation benefits. Access to cutting-edge technology and career growth opportunities. Qualification : B.Tech/M.Tech in Electronics or Computer Engineering or related fields.

NVIDIA is seeking a passionate, highly motivated, and creative ASIC Design Engineer to design and implement PCI Express controllers for the world s leading SoCs and GPUs. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of exceptional people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. The GPU started out as an engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Today, NVIDIA s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. NVIDIA is increasingly known as the AI computing company. What you ll be doing: Own the micro-architecture and RTL development of design modules for PCI Express Controllers. Micro-architect features to meet performance, power and area requirements. Work with HW and system architects to define critical features. Help verification teams to verify the correctness of implemented features. Collaborate with timing, VLSI and Physical design teams to ensure design meets timing, interface requirements and is routable. Enable FPGA and software teams to prototype the design and ensure that software is tested. Work on post-silicon verification and debug. What we need to see: BS / MS or equivalent experience. 3+ years of design experience. Experience in micro-architecture and RTL design of complex units. Exposure to design and verification tools (VCS or equivalent simulation tools, debug tools like Debussy, Verdi). Deep understanding of ASIC design flow including RTL design, verification, logic synthesis, prototyping, DFT, timing analysis, floor-planning, ECO, bring-up & lab debug. Expertise in Verilog. Ways to stand out from the crowd: Design experience in High Speed IO controllers like PCI Express. Good knowledge of PCI Express Protocol - Gen 3 and above. Good debugging and problem solving skills. Scripting knowledge (Python/Perl/shell). Good interpersonal skills and ability & desire to work as a teammate. 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 are creative, autonomous and love a challenge, we want to hear from you. 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, gender, sexual orientation, age, marital status, veteran status, or disability status. #LI-Hybrid Qualification : BS / MS or equivalent experience.

This is our life s work to amplify human imagination and intelligence. And we have only scratched the surface of what we can accomplish when we apply our technology to it. We need passionate, hard-working and creative people to help us take on some of these once-in-a-lifetime opportunities. As a key member of the NVIDIA Partner Network Team for NVIDIA's Enterprise business units, we are looking for a Partner Business executive for Global System Integrators (GSI)and Service Delivery Partners (SDP) in India who will manage the business relationship with the key Indian Global System Integrators. What you'll be doing: Manage the business relationship with the identified key GSI/SDPs in India and help them evolve into world class partners for providing AI enabled Services. Work with the leadership teams of the GSI/SDPs and ensure that a clear strategy is defined to help them provide AI enabled Services. Devise enablement plans and help the large Developer base at the GSIs to enhance their skillsets on GPU accelerated computing and AI. Act as a bridge between the GSI and NVIDIA Solution Architects to run PoCs, help with porting platforms and respond to RFQs. Define Business goals, track and report progress and work on joint GTM plans. Act as the bridge between the Sales teams of the GSI/SDP and NVIDIA to identify Top accounts for joint engagement. What we need to see: 12 to 15 years of demonstrated ability in a sophisticated Sales or Partner business management environment, with a strong technology and business acumen. High energy with effective communication and written skills. Experience and flair in presenting to senior leaders and large audience. Proactive, creative, flexible and uses good judgment to accomplish tasks on schedule with minimal direction and supervision. Familiarity with modern computing techniques, Artificial Intelligence, Generative AI and the ability to scale up technical knowledge to serve the needs of demanding technology companies. Ability to successfully and effectively connect with all team members at any level. Enjoys working in a fast-paced environment with multiple priorities. Bachelor s degree or equivalent. Master s may be an added advantage. Ways to stand out from the crowd: A passion for winning, a solid aptitude for business strategy, and excellent collaboration skills with a wide variety of internal team members. Self-starter, self-confident individual with integrity and accountability, highly motivated, driven, ambitious, and attracted to a meaningful opportunity. Graphics, AI/deep learning, high performance computing, cloud data center, and/or edge computing development/deployment experience desirable. Comfortable defining and executing complex program schedules with intimate understanding of dependencies, critical paths, key and critical landmarks, and deliverables. Consistent track record of handling multiple customers and customer programs across worldwide geographies and time zones. NVIDIA is widely considered to be one of the technology world s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! 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. #deeplearning Qualification : Bachelors degree or equivalent. Masters may be an added advantage.

Our customers are very happy with our technology and are quickly expanding their use cases, only limited by their own imaginations. The Customer Experience Engineering Team aims to enable customers to push these limits, and when customers run into roadblocks or issues, enable them and our internal technical resources to resolve those issues and get back to seeing success with Snowflake. Snowflake s Customer Experience Engineering Team is expanding! We are looking for a Senior Front End Software Engineer to join our team who likes building intelligent data applications that give insight into diagnostic data and technical content that is relevant to issues customers may be facing. Our Customer Experience Senior Front End Software Engineers enjoy developing features into the Snowflake product that aim to greatly reduce friction points that block customers and regularly require help from Snowflake technical experts. They are excited by the challenges presented by extracting intelligence from a wide variety of data sources, including structured and unstructured data. YOU WILL: Lead and drive projects that span our stack, using React and Streamlit frameworks to build insightful UIs that leverage a large number of data points. Promote strong collaboration within a cross-functional team, including product management, and design. Deliver features requiring close coordination with several partner teams. Be a strong contributor to the product vision and drive team planning. Pinpoint problems, instrument relevant components as needed, and ultimately implement solutions. Mentor and coach junior team members. OUR IDEAL SENIOR SOFTWARE ENGINEER WILL HAVE: B.S. or M.S degree in CS, MIS, or equivalent discipline Significant software development experience, including 5+ years of experience in web UI application development Deep understanding of modern web application design architecture, good API design patterns, performance, and scale. Expertise in the following technologies: React, SQL, JavaScript, Python and Streamlit or similar frameworks Experience with software engineering best practices: unit testing, code reviews, and design documentation. Excellent debugging and troubleshooting skills, especially in a cloud environment. Demonstrated technical leadership experience, such as being an architect or tech lead for high-impact projects. Great communication skills, both verbal and written and an interest in working with a diverse set of peers and external developers. Genuine enjoyment of the art of building great software, and a love of learning new things. Snowflake is growing fast, and we re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. Qualification : B.S. or M.S degree in CS, MIS, or equivalent discipline