Parallel Computing Jobs in Bengaluru

Lead Machine Learning Engineer Location: Bangalore | Employment Type: Full-time About the Role We are seeking a talented and driven Lead Machine Learning Engineer to join Avaamo s Product Engineering team. In this role, you will have the opportunity to shape and enhance the core features of our search technology stack, focusing on areas like search ranking models, query understanding, and natural language question answering. What You ll Do Innovate and expand the capabilities of our search stack, including ranking models, query parsing, and NLP-driven question answering. Gain a deep understanding of search usage patterns and user needs, identifying areas for improvement and growth. Design, prototype, and iterate on cutting-edge ML/NLP/Information Retrieval solutions to enhance our search functionality. Develop and optimize an experimentation framework to evaluate and track improvements to the search stack. Write clean, efficient, and maintainable code that is easy to test and scale. Mentor junior engineers, fostering a collaborative learning environment and sharing your expertise. What You Bring (Qualifications) A BS in Computer Science or a related field. 5+ years of hands-on experience in machine learning, NLP, or related fields. Strong analytical and data-driven mindset, with the ability to extract insights and build effective solutions. Experience in recommendation systems, natural language processing, LLMs, applied machine learning, or large-scale search/ranking systems. Key Skills & Qualities Collaborative, customer-focused, and team-oriented, with a willingness to contribute across multiple areas of the product. Proactive, positive, and self-driven, with the ability to take ownership of both small tasks and large features. Proven experience in designing and building complex search/ranking/recommendation systems. Strong proficiency in Python programming. About Avaamo Avaamo is a deep-learning software company that focuses on creating advanced conversational interfaces to solve high-impact problems in the enterprise space. We are at the forefront of AI technologies, working on neural networks, speech synthesis, and deep learning to transform how enterprises engage with conversational computing. Qualification : BS in Computer Science or a related field

Job Title: Lead / Senior Software Engineer (Microservices, IoT, Kafka, AWS) Location: Bengaluru Experience Required: 5 8 years Industry: Automotive (Electric Mobility) Employment Type: Full-time About Ultraviolette Join the Charge. Create the Future. At Ultraviolette, we re not just building electric vehicles we re redefining what mobility looks and feels like. From creating India s fastest electric motorcycle to designing the world s most advanced electric scooter, we're on a mission to engineer machines that are not only sustainable, but also exhilarating. Our team is a diverse mix of engineers, designers, dreamers, and doers, united by a bold vision to accelerate the global shift to electric mobility. If you're driven by innovation and looking to work on cutting-edge products that challenge the status quo, this is your platform to make a real impact. About the Role We are looking for a Senior/Lead Software Engineer who thrives in designing scalable, high-performance, and cloud-native microservices. This role is ideal for someone with hands-on experience in Java, Spring Boot, Kafka, and AWS, and a keen interest in IoT and real-time data architectures. You will work at the intersection of hardware and software helping us bring our vision of connected, intelligent, and high-performance electric vehicles to life. Key Responsibilities Design, develop, and deploy Java-based microservices using Spring Boot and related technologies. Architect and implement event-driven systems using Apache Kafka for real-time IoT data streaming. Build and manage RESTful APIs with AWS API Gateway for seamless service integration. Leverage AWS services such as Lambda, DynamoDB, and MemoryDB to build scalable, serverless solutions. Collaborate with cross-functional teams front-end developers, DevOps, and product managers to convert ideas into working features. Optimize application performance, troubleshoot issues, and ensure high reliability and availability. Mentor junior engineers, conduct code reviews, and enforce clean coding practices. Contribute to architecture decisions, technical roadmaps, and innovation initiatives. Stay on top of emerging technologies in cloud, microservices, and IoT ecosystems. Participate actively in Agile processes including sprint planning, stand-ups, and retrospectives. Required Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or a related field. 5+ years of hands-on experience in Java development, with a strong foundation in Spring Boot. Proven experience designing and deploying microservices architectures. Strong knowledge of Kafka and real-time streaming/data pipeline architectures. Hands-on experience with Docker and Kubernetes for containerization and orchestration. Understanding of IoT protocols such as MQTT or CoAP and device connectivity. Proficiency with version control (Git) and Agile methodologies. Excellent problem-solving, communication, and collaboration skills. Nice to Have AWS Certifications (e.g., AWS Certified Developer or Solutions Architect). Experience with additional languages like Python or Rust. Familiarity with NoSQL databases such as MongoDB or Cassandra. Knowledge of DevOps practices, CI/CD pipelines, and Infrastructure as Code (e.g., Terraform). Exposure to stream processing frameworks (e.g., Apache Flink, Spark Streaming). Experience in edge computing and distributed systems. Strong understanding of cloud security best practices. Work on India s most futuristic electric vehicles at the intersection of technology, performance, and sustainability. Be part of a mission-driven company shaping the future of mobility. Collaborate with some of the most talented engineers and designers in the industry. A fast-paced environment that celebrates innovation, learning, and growth. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field

Position: Data Scientist (AI/ML Expert) Location: Pritech Park SEZ, Block 09, 4th Floor B Wing, Survey No. 51 to 64/4, Outer Ring Road, Bellandur V, Bangalore, Karnataka, India Department: Advanced Analytics Employment Type: Subexian Experience Required: 1 to 3 years Job Overview: We are looking for a talented Data Scientist with expertise in AI/ML to join our Advanced Analytics team. As a key contributor, you ll design, develop, and validate predictive models, recommendation systems, and forecasting solutions, while also collaborating with cross-functional teams to deliver cutting-edge solutions using the latest technologies. Key Responsibilities: Model Development: Design, develop, and validate predictive models, recommendation systems, and forecasting solutions using a mix of statistical, machine learning, and deep learning techniques. You will work both independently and as part of a collaborative team. Data Visualization & Reporting: Communicate actionable insights effectively through compelling dashboards, reports, and visualizations using tools such as Superset, Power BI, and Python libraries (Matplotlib, Seaborn, Plotly). AI & Tech Solutions: Collaborate with teams to design and deliver flexible, scalable solutions using advanced technologies such as AI and large language models (LLMs). API Development: Develop and integrate REST APIs and frameworks such as Flask or FastAPI for seamless deployment of machine learning models. Documentation: Maintain clear, comprehensive documentation for data workflows, model development, and analytical methodologies to ensure knowledge sharing and transparency across teams. Continuous Learning: Stay up-to-date with the latest trends and advancements in data science, algorithms, and technologies, ensuring your skills and knowledge remain cutting-edge. Required Technical Skills: Python Proficiency: Strong experience with Python and libraries like Scikit-learn, TensorFlow/PyTorch, and data visualization libraries (Matplotlib, Seaborn, Plotly). SQL: Solid hands-on experience in SQL for efficient data querying. ML Ops & Pipelines: Understanding of machine learning operations (ML Ops) and ML pipelines for streamlined model deployment. Cloud & Distributed Computing: Exposure to cloud platforms such as AWS, Azure, or GCP and distributed computing tools like Hadoop, Spark, or Pyspark is a plus. Soft Skills: Effective Communication: Strong ability to communicate complex analytical findings in a clear and engaging manner, tailoring insights for both technical and non-technical audiences. Problem-Solving: A proactive problem-solver with the ability to adapt and thrive in a fast-paced, dynamic environment. Continuous Growth: Self-motivated, curious, and always seeking opportunities for professional growth and learning. At Subex, we encourage a collaborative, innovative, and growth-driven work environment. If you're passionate about applying data science techniques to real-world challenges and want to work with cutting-edge AI/ML technologies, we d love to hear from you!

Job Title: Software Engineer GPU Performance Location: Bengaluru Overview: We are looking for a highly skilled Software Engineer GPU Performance with a deep understanding of CUDA, GPU hardware architecture, and low-level performance optimization. The ideal candidate will have hands-on experience building high-performance GPU-based pipelines, optimizing time-continuous kernels, and dynamically managing processing loads between the CPU and GPU. Key Responsibilities: Utilize low-level CUDA APIs to implement and optimize GPU kernels and memory management strategies. Design and optimize pipelined image processing frameworks, ensuring seamless multi-block function execution and inter-block communication. Conduct low-level GPU performance analysis and optimizations using tools like: NVIDIA Nsight Compute NVIDIA Visual Profiler NVIDIA Graphics Developer Tools Optimize CUDA cores and kernels for maximum throughput, particularly in time-continuous processing scenarios. Implement dynamic load balancing between GPU kernels and processing functions. Design interleaved execution strategies between CPU and GPU, including real-time GPU control flow modifications from the CPU. Use NVIDIA Direct technologies for direct memory access from PCIe, USB, and display hardware, bypassing CPU intervention. Build systems to visualize GPU memory for debugging without requiring CPU transfers. Contribute to the design and optimization of foundational neural networks, including mathematical modeling of time-weighted kernels. Stay up to date with emerging GPU tools and platforms; exposure to NVIDIA Omniverse is a plus. Required Skills & Qualifications: Strong proficiency in C/C++. In-depth experience with low-level CUDA programming. Proficiency with Visual Studio toolchain and related debugging tools. Solid understanding of GPU hardware architecture and system-level performance tuning. Hands-on experience with GPU memory management, kernel interleaving, and CPU-GPU orchestration. Strong problem-solving skills and the ability to write clean, efficient, and maintainable code. Experience in neural network architecture design and low-level performance optimization is highly desirable. Exposure to Omniverse, real-time rendering, or simulation platforms is a bonus.

Cloud Engineer Azure | Bangalore, India Location: Bangalore (Bengaluru) Experience: 2 to 8 Years Industry: IT Software / Cloud Computing Job Summary: We are looking for a skilled Cloud Engineer with expertise in Microsoft Azure to manage, optimize, and support cloud infrastructure solutions. The ideal candidate will have hands-on experience administering Azure cloud environments, implementing security best practices, and automating cloud operations. Key Responsibilities: Administer and support public cloud infrastructure, with at least 2 years of experience in Azure cloud services Manage Azure Compute resources including App Services, Virtual Machines, and Azure Kubernetes Service (AKS) Handle Azure storage and database services such as SQL Database, Blob Storage, and configure Azure Networking components including Azure Firewall, VPN, Load Balancer, and Private Link Utilize Azure native management tools including Azure Blueprints, Azure Policy, Azure Monitor, and backup solutions Implement and monitor security tools such as Azure Security Center, Azure Sentinel, Azure Defender, and manage Azure Key Vault and Azure Active Directory (AAD) Drive automation and Infrastructure-as-Code (IaC) using Azure Automation, Azure DevOps, PowerShell DSC, and scripting languages Develop and maintain automation scripts using Python or PowerShell Collaborate within DevSecOps teams to ensure secure, scalable, and reliable cloud deployments Required Skills: Proven experience with Microsoft Azure cloud services Strong knowledge of Azure Compute, Storage, Database, and Networking services Experience with Azure security tools and best practices Familiarity with Infrastructure-as-Code (IaC) tools and automation frameworks Proficiency in at least one scripting language such as Python or PowerShell Good understanding of cloud security and compliance standards Azure certifications (AZ-104, AZ-303, AZ-500) are highly desirable Preferred Qualifications: Bachelor s degree in Computer Science, Information Technology, or related field Experience with continuous integration and continuous deployment (CI/CD) pipelines Familiarity with DevSecOps culture and tools Work with cutting-edge cloud technologies and global teams Opportunity for continuous learning and professional growth in cloud computing Engage in challenging projects that impact business-critical applications Qualification : Bachelors degree in Computer Science, Information Technology, or related field

Cloud Architect Bangalore, India Location: Bangalore (Bengaluru) Experience: 8 to 15 Years Industry: IT Software / Cloud Computing Job Summary: We are seeking a seasoned Cloud Architect with deep expertise in designing and implementing secure, scalable cloud solutions across public and private cloud platforms. The ideal candidate will have strong knowledge of enterprise application and integration patterns, cloud-native microservices, and security architecture. Key Responsibilities: Architect and design cloud solutions leveraging AWS, Microsoft Azure, and Google Cloud Platform (GCP) Develop microservices-based applications using Docker and Kubernetes, and deploy them on cloud platforms Define security architectural requirements, including threat modeling, identity and access management, PKI, and secrets management Ensure cloud environments adhere to security protocols, compliance standards, and best practices for authentication and authorization Work with a wide range of cloud services including storage, networking, and security components Apply knowledge of Big Data ecosystems such as Hadoop and NoSQL databases to design scalable data processing architectures Deploy and manage cloud infrastructure using Terraform for infrastructure as code (IaC) Utilize configuration management tools like Puppet, Chef, and continuous integration tools such as Git and Jenkins Collaborate within Agile teams to deliver cloud architecture solutions efficiently Stay updated on emerging open-source technologies and integrate them into cloud architectures when applicable Required Skills & Qualifications: Extensive experience with both public and private cloud technologies Strong understanding of Enterprise Application Patterns and Integration Patterns Hands-on experience with containerization, microservices, and orchestration tools (Docker, Kubernetes) In-depth knowledge of cloud security, including threat modeling and compliance requirements Proficiency in managing cloud infrastructure on AWS, Azure, and/or GCP Familiarity with Big Data platforms and NoSQL databases Skilled in Infrastructure as Code (IaC) tools, especially Terraform Experience with automation and configuration management tools like Puppet, Chef, Git, and Jenkins Comfortable working in Agile development environments Preferred Qualifications: Bachelor s or Master s degree in Computer Science, Information Technology, or related field Relevant cloud certifications such as AWS Certified Solutions Architect, Azure Solutions Architect Expert, or Google Cloud Professional Architect Strong communication skills to articulate complex cloud architectures to diverse stakeholders Lead the design of innovative, secure, and scalable cloud architectures Work with cutting-edge cloud and container technologies in a dynamic environment Opportunity to grow professionally with access to training and certifications Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or related field

Senior Data Engineer Location: Bengaluru Department: Global Strategic Services Data Engineering EMEA Type: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader driving industrial digital transformation. Our platforms Cognite Data Fusion and Cognite Atlas AI enable companies across Energy, Utilities, Manufacturing, and Chemicals to solve complex challenges using AI, contextual data, and automation. Cognite is backed by top-tier investors and recognized with global innovation awards. Our Values Impact: We deliver results that matter. Ownership: We take initiative, act inclusively, and embrace accountability. Relentless: We pursue excellence and innovation with resilience. About the Role As a Senior Data Engineer, you ll lead the development of scalable data solutions that empower critical industries to make informed decisions. You ll work on high-impact projects across regions, collaborating with solution architects, data scientists, and product teams. This is a growth role with room to influence product direction and mentor junior engineers. Key Responsibilities Architect and implement robust data pipelines using Cognite Data Fusion, Python, SQL, and REST APIs. Lead integrations, data modeling, and transformation tasks using cloud-native technologies. Design custom data models for discovery, mapping, and cleansing industrial data. Collaborate closely with cross-functional teams to deliver digital solutions. Conduct code reviews and champion engineering best practices. Contribute to Cognite s SDKs and internal tools. Translate customer use cases into scalable, reusable data engineering frameworks. Mentor team members and support customer onboarding when needed. What You ll Bring Bachelor s or Master s in Computer Science or related field (or equivalent experience). 5+ years in a data-intensive, customer-facing engineering role. Expertise in Python, SQL, REST APIs, and pipeline orchestration. Experience with distributed computing, Kubernetes, and cloud platforms (Azure, GCP). Familiarity with data from industrial domains like oil & gas or manufacturing is a plus. Strong DevOps mindset with hands-on experience in Git, CI/CD, and deployments. Proactive and collaborative; able to work independently and solve complex challenges. A growth mindset with willingness to ask for help and share knowledge openly. Be part of a global team spanning 70+ nationalities with strong DEI focus. Work at our Bengaluru office (Rathi Legacy, Hoodi) in a modern hybrid environment. Enjoy flat hierarchy, fast decision-making, and high ownership culture. Collaborate with world-class professionals on industry-transforming projects. Shape the future of industrial data and drive real-world impact at scale. If you re passionate about solving meaningful problems with cutting-edge data technologies, apply today. We welcome applicants from all backgrounds and experiences you might be the perfect fit, even if you don t meet every single requirement. Qualification : Bachelors or Masters in Computer Science or related field (or equivalent experience).

End User Computing Sales Engineer Location: Bengaluru, India Company: Dell Technologies Team: Client Solutions Group Role Overview As a Sales Engineer, you will be a technical advisor to Dell's sales teams, helping define and present Dell's value in End User Computing (EUC) solutions. You'll guide customers through evaluations, proof of concepts, and solution demonstrations, ensuring successful adoption of Dell s client technologies. Key Responsibilities Collaborate with regional sales teams to create effective account plans. Deliver product demonstrations and proof of concept sessions. Help customers evaluate Dell s EUC portfolio (e.g., VDI, cloud clients, desktops, laptops). Provide technical support and best practices guidance. Engage in onsite and virtual customer meetings (some travel involved). Required Experience 4 6 years of experience in IT or technical pre-sales (e.g., systems admin, consulting, integration). Strong knowledge of EUC environments and endpoint deployment. Ability to manage multiple priorities in a dynamic setting. Preferred Skills Experience with virtualization and remote desktop tech: Citrix, VMware Horizon. Familiarity with Microsoft Server OS (2012/2016) and Windows 10. Systems Management and Technical Certifications are a plus. Dell offers a collaborative work environment, cutting-edge technology, and a focus on career growth and meaningful impact. You ll work with some of the best minds in tech, helping global organizations transform how they work and operate.

DevOps Engineer Location: Bengaluru, Karnataka, India (On-Site) Department: Engineering Employment Type: Full-Time About Sarvam.ai Sarvam.ai is a cutting-edge generative AI startup headquartered in Bengaluru, India, with a mission to make generative AI accessible and impactful for Bharat. Founded by AI experts, we are dedicated to developing high-performance, cost-effective AI agents tailored for the Indian market. We enable enterprises to tap into new opportunities, build deeper customer connections, and reshape the future of AI for India and beyond. Role Overview We are looking for a DevOps Engineer to join our team and help build and manage scalable, secure, and high-performance infrastructure. In this role, you will be a key contributor to automating deployments, managing cloud infrastructure, optimizing CI/CD workflows, and ensuring system reliability. You will work with cutting-edge technologies, including cloud platforms, containerization, and infrastructure as code (IaC), to deliver impactful solutions for AI-driven products. Key Responsibilities CI/CD Pipelines: Design, implement, and manage CI/CD pipelines for seamless software deployment and integration. Cloud Infrastructure: Deploy and manage cloud infrastructure using Terraform, Kubernetes, and Docker for scalability and high performance. Automation & Scaling: Automate infrastructure provisioning, scaling, and security compliance to support high-availability environments. Monitoring & Optimization: Implement logging, monitoring, and alerting solutions using tools like Prometheus, Grafana, ELK Stack, or CloudWatch to monitor system performance and optimize resource utilization. Security & Compliance: Enhance security and compliance by managing IAM policies, encryption, and vulnerability scanning. Troubleshooting & Root Cause Analysis: Troubleshoot system failures, perform root cause analysis, and implement improvements to ensure reliability and uptime. Collaboration: Work closely with development teams to ensure smooth deployment and operation of AI models and applications. Must-Have Skills & Qualifications Educational Background: Bachelor s degree in Computer Science, Engineering, or related field (2024/2025 graduates). Cloud Expertise: Strong experience with AWS, Azure, or GCP for deploying and managing cloud-based applications. Containerization: Proficiency in Docker and Kubernetes for building and managing containerized applications. Infrastructure as Code (IaC): Experience with Terraform, Ansible, or CloudFormation to automate infrastructure management. CI/CD Pipelines: Experience in setting up automated workflows using tools like GitHub Actions, Jenkins, or GitLab CI/CD for smooth deployments. Monitoring & Logging: Experience with Prometheus, Grafana, ELK, or similar tools to implement effective monitoring and logging solutions. Networking & Security: Strong understanding of firewalls, VPNs, SSL, and cloud security best practices for secure infrastructure. Version Control: Proficiency with Git for managing code repositories and version control workflows. Problem Solving: Strong debugging, troubleshooting, and analytical skills to resolve complex system issues. Good to Have (Preferred Experience) Serverless Computing: Exposure to serverless computing models such as AWS Lambda or Azure Functions. Message Queues: Experience with message queues like Kafka, RabbitMQ, or SQS. Site Reliability Engineering (SRE): Familiarity with SRE practices to ensure the reliability and availability of large-scale systems. Open Source Contributions: Contributions to open-source projects or a strong GitHub portfolio showcasing DevOps expertise and best practices. Impactful Work: Work on AI-driven products that are reshaping the future of technology in India. Innovative Team: Collaborate with a team of AI experts and engineers pushing the boundaries of technology. Career Growth: Opportunity to grow in a fast-growing startup at the forefront of the generative AI revolution. Cutting-edge Technologies: Work with cloud technologies, automation, and AI infrastructure to create high-impact products. Qualification : Bachelors degree in Computer Science, Engineering, or related field

Lead Cloud Engineer HPC (High Performance Computing) Location: Bengaluru, India Company: Chevron Experience Level: 5 10 Years Department: IT Cloud Engineering Work Mode: Hybrid (Global Operations Support) About the Role Chevron is seeking a Lead Cloud Engineer HPC to deliver next-generation High Performance Computing (HPC) infrastructure and application solutions. This position plays a key role in supporting compute-intensive workloads such as geophysics, reservoir simulations, AI/ML models, and parallel file systems, with a focus on cloud-native solutions and low-latency architectures. This role is ideal for someone experienced in cloud engineering, Linux system administration, and HPC architecture. Key Responsibilities Design, deploy, and support HPC environments for compute-intensive workloads. Configure and manage HPC job scheduling systems (e.g., Slurm, PBS). Implement and maintain parallel file systems such as Lustre. Manage Azure-based cloud infrastructure using VM Scale Sets. Collaborate with data scientists and developers to optimize infrastructure. Leverage Ansible, Satellite, and Python for automation. Optimize low-latency networks for distributed computing. Modernize HPC architecture with an eye on cost control and performance. Required Qualifications Bachelor s degree in Computer Science, Information Systems, or related field. 5 10 years of experience in: Linux system administration in a large-scale environment Microsoft Azure, including VM Scale Sets HPC job schedulers Slurm, PBS Parallel file systems Lustre Automation tools Ansible, Satellite, Python Supporting compute-heavy scientific/engineering applications Understanding of storage systems, networking, and performance tuning in HPC. Willingness to support global operations and participate in after-hours support. Preferred Skills Experience deploying HPC workloads in hybrid cloud environments. Familiarity with reservoir simulation or geophysical applications. Knowledge of security compliance and cost optimization in HPC/cloud. Working Hours Chevron supports global operations. Work hours may be aligned across international teams: Standard Work Days: Monday to Friday Shift Options: 8:00 AM 5:00 PM or 1:30 PM 10:30 PM IST Benefits & Perks Competitive compensation package Health, life, and accident insurance Flexible work schedule and hybrid options Professional development and certification support Work on cutting-edge HPC and AI infrastructure Equal Opportunity Employer Chevron is committed to a diverse and inclusive workforce. All qualified applicants will receive consideration without regard to race, gender, religion, sexual orientation, nationality, age, or disability. Chevron participates in E-Verify in applicable regions. Apply Now If you re passionate about building scalable HPC infrastructure in the cloud, apply now to join Chevron s Cloud Engineering team in Bengaluru. Qualification : Bachelors degree in Computer Science, Information Systems, or related field.

Engineer, Principal/Manager - Machine Learning, AI Location: Bangalore, Karnataka, India Company: Qualcomm India Private Limited General Summary Qualcomm is seeking an experienced and visionary Principal AI/ML Engineer to lead research, development, and optimization of AI inference systems. This role involves developing high-performance AI models, optimizing deployments across various hardware platforms, and contributing to research in model compression, quantization, and hardware-aware optimization. Education & Experience PhD with 6+ years, Master's with 7+ years, or Bachelor's with 8+ years in Engineering, CS, or related field. 20+ years of experience in AI/ML development; 5+ years in inference optimization and debugging. Key Responsibilities Model Optimization & Quantization Optimize models using quantization (INT8, INT4, mixed precision), pruning, and knowledge distillation. Implement PTQ and QAT techniques for deployment. Experience with TensorRT, ONNX Runtime, OpenVINO, TVM. AI Hardware Acceleration & Deployment Target platforms: Hexagon DSP, CUDA GPUs, TPUs, NPUs, FPGAs, Habana Gaudi, Apple Neural Engine. Use Python APIs: cuDNN, XLA, MLIR for hardware acceleration. Benchmark and debug performance across platforms. AI Research & Innovation Research on efficient AI inference: model compression, low-bit precision, sparse computing. Explore architectures like Sparse Transformers, Mixture of Experts, Flash Attention. Publish in ML conferences: NeurIPS, ICML, CVPR; contribute to open-source projects. Technical Expertise Optimization of LLMs, LMMs, LVMs for inference. Deep Learning frameworks: TensorFlow, PyTorch, JAX, ONNX. Expert in CUDA, cuPy, Numba, TensorRT, ONNX Runtime, OpenVINO. Skilled in Python for scalable AI development. Experience with ML runtime delegates: TFLite, ONNX, Qualcomm AI Stack. Debugging: Netron, TensorBoard, PyTorch Profiler, Nsight, perf, Py-Spy. Cloud inference: AWS Inferentia, Azure ML, GCP AI Platform, Habana Gaudi. Hardware-aware optimization: oneDNN, ROCm, MLIR, SparseML. Contributions to open-source and research publications are a strong plus. Leadership & Collaboration Lead a team of engineers in Python-based AI inference and optimization. Collaborate with researchers, software engineers, DevOps, and hardware vendors. Define debugging, deployment, and performance tuning best practices.

Staff/Senior Staff AI Developer Advocate Location: Bangalore, Karnataka, India Company: Qualcomm India Private Limited General Summary We are looking for Developer Advocates to enable developers building with generative AI and AI-driven hardware applications. You will engage with the community and create resources to onboard developers on our platforms. Qualcomm products touch multiple industries, including mobile, laptops, mixed-reality, robotics, and industrial IoT. You will work closely with product, engineering, and regional sales teams to drive awareness and engagement for our platforms. You are a builder who loves writing code and integrating AI models into applications. Whether it's language-based use cases, computer vision, or audio, you can effortlessly integrate open-source models (large or small) and distilled models into applications. You are also a community builder, engaging, ideating, and helping others realize their development goals. Your contributions and insights from the community will directly impact product improvements, drive feature prioritization, and help create a repository of community-contributed sample applications, tutorials, and content. You will engage with community builders and influencers to build ecosystems that encourage constant collaboration. Responsibilities Engage with external developers in at least one of the following application areas: IoT, Automotive, Microsoft device ecosystem. Collaborate across software, hardware engineering, developer marketing, and product management teams. Understand trends in ML model design and workflow through academic research and developer engagements. Ensure comprehensive sample applications for AI on Linux/Windows using Snapdragon to cover a variety of models and use cases. Interface with 3rd party developers and internal teams to create easy-to-use sample applications and documentation for Windows on Snapdragon. Contribute new features and designs to the Qualcomm AI toolkit to enhance the developer workflow. Minimum Qualifications Bachelor's or advanced degree in computer science, artificial intelligence, or a related field. 6+ years of software engineering, systems engineering, or related work experience. Preferred Qualifications Excellent understanding of AI frameworks (e.g., TensorFlow, PyTorch), GPU programming, and parallel computing. Experience with large language models/foundational models is a plus. Good understanding of the complete AI software stack and AI performance tuning techniques on GPU, NPU-based systems. Experience in developing end-to-end AI applications on Windows using Windows ML, DirectML. Experience with training and deploying models on servers and porting them to client Windows compute platforms, including inference deployment and performance tuning. Proficiency in programming languages such as Python and C++. Excellent communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. Strong leadership abilities to guide development teams. Attention to detail with strong problem-solving, analytical, and debugging skills. Ability to adapt quickly and learn in a fast-changing environment. Familiarity with software development methodologies, version control systems, and agile project management practices. 12+ years of application development experience, with 5+ years in AI application development on Windows. Bachelor's degree in Computer Science or Electrical Engineering. Qualification : Bachelor's or advanced degree in computer science, artificial intelligence, or a related field.

Position: Senior Data Scientist Location: Bangalore Employment Type: Full-time Experience Required: 5 to 7 years Purpose of the Position: The Senior Data Scientist will play a key role in designing, developing, and implementing machine learning models and algorithms to solve complex business problems. The role involves collaborating with data scientists, software engineers, and business stakeholders to deliver scalable, efficient machine learning solutions that drive innovation and improve business outcomes. Key Responsibilities: Model Development and Optimization: Develop, train, and optimize machine learning models to meet business objectives. Ensure models are accurate, efficient, and scalable. Data Pipeline and Infrastructure: Design and maintain robust data pipelines to support machine learning workflows. Ensure data quality and integrity throughout the data lifecycle. Deployment and Monitoring: Deploy machine learning models into production. Monitor model performance and implement improvements as needed. Collaboration and Communication: Work with cross-functional teams to understand business requirements and translate them into technical solutions. Communicate complex technical concepts to non-technical stakeholders. Research and Innovation: Stay up to date with the latest advancements in machine learning and AI. Experiment with new techniques and technologies to enhance the organization's capabilities. Essential Skills: Machine Learning Frameworks: Experience with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Programming Languages: Strong skills in Python and R. Data Processing: Experience with tools like Pandas, NumPy, and Spark. Model Deployment: Experience with Docker, Kubernetes, MLflow, and FastAPI. Databases: Strong experience in databases like Snowflake, MongoDB, and Cosmo DB. Statistical Analysis: Strong foundation in statistics and probability. Model Management: Experience establishing model management, monitoring, support, and maintenance frameworks. ML Lifecycle: Experience setting up ML lifecycle processes and governance policies, as well as providing L0, L1, and L2 support. Desired Skills: Deep Learning: Familiarity with deep learning frameworks like TensorFlow or PyTorch. Natural Language Processing (NLP): Understanding of NLP techniques and applications. Cloud Computing: Experience with cloud platforms like AWS, Azure, or Google Cloud. Big Data Technologies: Knowledge of big data technologies such as Hive, Pig, or Cassandra. Software Engineering: Proficiency in software development and version control systems like Git. Qualifications: Education: Master's degree or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related field. Experience: Over 5 years of experience in machine learning, with a proven track record of developing and deploying models. Certifications: Relevant certifications in machine learning or data science are a plus. Key Qualities: Analytical Thinking: Strong analytical and problem-solving skills. Communication: Excellent verbal and written communication skills. Team Player: Ability to work effectively in a collaborative team environment. Adaptability: Flexibility to adapt to changing business needs and technologies. Innovation: A proactive approach to exploring new ideas and technologies. Apply now to join our dynamic team and lead innovation through machine learning and AI! Qualification : Master's degree or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related field.

Job Title: Senior Filesystem Developer (NFS, SMB) Location: Bangalore Experience: 6+ Years Job Overview We are looking for a highly skilled Senior Filesystem Developer with extensive experience in developing, optimizing, and maintaining filesystem protocols such as NFS (Network File System) and SMB (Server Message Block). The ideal candidate will be responsible for creating efficient and robust distributed storage solutions while enhancing filesystem performance. You will be working on cutting-edge projects to build and improve the infrastructure of our storage systems. Key Responsibilities Filesystem Protocol Development: Develop and maintain filesystem protocols like NFS (v3/v4) and SMB/CIFS, ensuring high performance and scalability in distributed environments. Optimization & Performance Tuning: Continuously improve the efficiency and performance of filesystem protocols, analyzing bottlenecks and addressing performance issues. System-Level Integration: Collaborate with system-level teams to integrate and optimize filesystem components with kernel-level subsystems and user-space applications. Debugging & Troubleshooting: Utilize diagnostic tools (e.g., tcpdump, Wireshark, perf, ftrace) to identify and resolve network, protocol, and filesystem-related issues. Collaboration & Documentation: Work closely with cross-functional teams (e.g., networking, storage) to ensure seamless integration and implementation of storage solutions. Document processes, best practices, and optimizations. Required Skills & Qualifications Technical Expertise: Proven experience in filesystem development or protocol-level programming. Proficiency in C programming, with a solid understanding of kernel-level and user-space interactions. Deep knowledge of NFS (v3/v4) and SMB/CIFS protocols, including their implementation and behaviors. System-Level Knowledge: Strong experience with kernel-level filesystems and the Virtual File System (VFS) layer. Familiarity with distributed storage systems and clustered filesystem architectures. Networking & Protocols: Solid understanding of network protocols such as TCP/IP, RPC, and DNS, particularly as they relate to file-sharing systems. Experience in debugging network and protocol-level issues in a distributed environment. Debugging & Troubleshooting: Expertise with diagnostic tools such as tcpdump, Wireshark, perf, and ftrace. Strong analytical and problem-solving skills to identify and resolve bugs and performance bottlenecks in filesystem protocols. Preferred Skills Distributed & Parallel Filesystems: Experience working with distributed and parallel filesystems, ensuring high availability and fault tolerance in storage systems. Cloud-Based Storage Solutions: Familiarity with cloud-based file storage solutions (e.g., object storage systems, cloud NAS/SAN). Security: Knowledge of encryption and security standards related to file storage and secure file sharing. This role presents an exciting opportunity to work with cutting-edge technology and make significant contributions to the development of high-performance, distributed filesystem solutions. You will be part of a dynamic team focused on pushing the boundaries of storage systems while solving complex problems.

Our Company At Adobe, we're changing the world through digital experiences. We empower everyone from emerging artists to global brands with everything they need to design and deliver exceptional digital experiences. We're passionate about helping people create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We are on a mission to hire the very best talent and are committed to creating exceptional employee experiences where everyone is respected and has equal access to opportunity. New ideas can come from anywhere, and the next big idea could be yours! About the Team The Adobe Content Platform and Collaboration (ACPC) group is building a highly scalable and available content platform for Adobe s SaaS offerings, running on Amazon AWS. We're pushing the future of SaaS development by leveraging the latest technology stacks and design thinking. Our dedicated team of developers is building low-latency, cloud-scale foundational components such as Cache, Storage, Databases (SQL and NoSQL), Queuing, Pub/Sub, etc., to create a standard for developing, deploying, operating, and governing Adobe SaaS solutions, catering to millions of requests every day. What the Team Does: We love writing software. We love solving complex problems with simple, elegant designs. We build the platform using modern container orchestration technologies. We take a long-term architectural approach, ensuring that the platform supports both current and future needs of all Adobe services. We use best-in-class tools like GitHub, Slack, and any tools that help us stay productive. We are committed to adapting our processes to meet evolving needs. We trust each other to do our jobs exceptionally well. What You ll Do: Design and develop one or more services/components within the platform. Take responsibility for the full lifecycle of the project from user story to design, development, testing, documentation, and maintenance. As a senior team member, you will be responsible for setting code guidelines for the rest of the team. Adhere to standard software engineering practices. Collaborate in a highly dynamic, ever-evolving environment. Work with geographically distributed teams. Mentor junior team members to help them grow and improve. What You Need to Succeed: B.Tech/M.Tech in Computer Science (or equivalent experience) with an excellent academic record. 5 to 8 years of software development experience, primarily in backend systems. Proficiency in data structures and algorithms. Expertise in Java and related technologies (e.g., Spring Boot). Proven experience in designing, building, evolving, and maintaining large-scale, complex software projects. Self-starter with an ability and eagerness to learn new technologies and adapt quickly. Proven experience in developing scalable Cloud-based services on AWS/Azure. Strong programming and problem-solving skills. Good written and verbal communication skills. Strong team player who thrives in a collaborative environment. Experience with Agile development practices. Prior experience with MySQL, Redis, Cassandra, DynamoDB, Kafka will be a bonus. Pure Innovation: We celebrate critical thinkers who embrace challenges and aspire to innovate. Pure Growth: At Adobe, you have the space to grow and contribute meaningfully to something impactful. Pure Team: We build each other up and set aside egos for the greater good. Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by law. Qualification : B. Tech and/or M. Tech in Computer Science with excellent academic record, or equivalent experience

CPU Performance Engineer Company Arm Location Bengaluru Job Overview At Arm, we are building the Future of Computing. Achieving generational performance gains requires deep understanding of the core, microarchitecture, system-level details, and the workloads that run on them. We are seeking a highly motivated and skilled engineer to drive analysis, characterization, and deep understanding of complex infrastructure workloads. This is a versatile and high-visibility role requiring collaboration with global teams including hardware architects, software engineers, and toolchain experts. Your work will help shape the next-generation CPU microarchitecture through comprehensive workload performance analysis. Responsibilities Perform performance analysis and characterization of complex infrastructure workloads to identify software and microarchitectural improvements for next-generation processors/systems. Analyze CPU performance, power, and cost while identifying key technology challenges and opportunities for innovation. Collaborate with Arm architects to develop technologies that contribute to maintaining a best-in-class compute systems roadmap. Develop expertise in the competitive landscape and emerging technologies in areas such as infrastructure, computer vision, and machine learning. Required Skills and Experience Strong knowledge and experience in CPU architecture and microarchitecture, gained through development, research, or performance analysis/modeling/design. Ability to break down workload performance into insights spanning software (applications, toolchain, libraries) and CPU/system microarchitecture. Proven ability to work effectively both independently and as part of geographically distributed teams across multiple functional groups. Innovative mindset with a strong drive to explore new approaches, influence stakeholders through detailed investigation, and solve challenging technical problems. Bachelor s or Master s degree in Computer Science, Engineering, or a related field, with at least 10 years of experience in CPU or SoC performance analysis. Nice-To-Have Skills and Experience Experience in CPU performance analysis and/or modeling. Background in workload analysis, characterization, and/or optimization of open-source software. Understanding of CPU infrastructure architectures and system-level constraints. Hands-on experience with advanced CPU techniques such as branch prediction and prefetching. Comfort working with emerging technologies and staying current with research advancements. Track record of influencing product roadmaps and delivering innovative solutions through prototypes and empirical analysis. What Arm Offers Arm provides an exceptional collaborative environment, offering exciting challenges and career growth opportunities. If you are interested but feel you don t meet every requirement, we encourage you to apply we value diverse skills and innovative thinking! #LI-KR2 Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field, with at least 10 years of experience in CPU or SoC performance analysis.

Job Title: System Software Development Engineer Functional Safety Job Description: The Intel Client Computing Group (CCG) Edge Software division is seeking experienced professionals in system software development for embedded product applications. This role offers an exciting opportunity to be part of a high-impact team responsible for enabling Functional Safety (FuSa) Software/Firmware solutions for Intel Edge platforms. Key Responsibilities: Develop Functional Safety (FuSa) firmware and software solutions as part of the system software development team. Take ownership of specific software/firmware modules, ensuring their compliance with FuSa standards such as IEC 61508 and DO-178C. Conduct unit testing, static and dynamic analysis, and maintain traceability of requirements. Create software collaterals and documentation that meet FuSa standards. Perform integration activities for milestone releases, Best Known Configuration (BKC) updates, and user guide preparation for customer enablement. Qualifications & Requirements: Education: Bachelor's or Master's degree in Computer Science, Electronics, or a related field. Experience: Minimum 5+ years of experience in embedded system software development. Programming Skills: Proficiency in C/C++. Scripting Expertise: Experience with scripting languages such as Python and Perl for test case development. Operating Systems: Strong knowledge of Linux System Software and Real-Time Operating Systems (RTOS). Debugging & Toolchains: Hands-on experience with embedded software debugging tools and code versioning toolchains. Software Development & Integration: In-depth understanding of software development methodologies, integration processes, and source code management systems (e.g., GitHub). Collaboration & Communication: Excellent written and verbal communication skills, with a strong ability to document technical processes effectively. Soft Skills: Strong analytical, organizational, and problem-solving skills, with a proactive, resourceful, and self-motivated approach to work. About the Client Computing Group (CCG): The Client Computing Group (CCG) at Intel drives business strategy and product development for Intel's PC platforms, covering a range of form factors including notebooks, desktops, 2-in-1s, and all-in-one devices. Working closely with industry partners, CCG aims to deliver cutting-edge computing experiences that empower individuals to focus, create, and connect in meaningful ways. As Intel s largest business unit, CCG fuels innovation and advances Intel s mission to enrich lives through technology. Intel s Commitment to Diversity & Inclusion: Intel is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected status under local law. Intel offers one of the best total compensation packages in the industry, including: Competitive salary, stock options, and performance-based bonuses. Comprehensive healthcare, retirement plans, and paid time off. Professional development opportunities and career growth support. Qualification : Bachelor's or Master's degree in Computer Science, Electronics, or a related field.

Job Description Join Intel s world-class Graphics Physical Design Team, working on high-performance GPUs/GFX targeting high-end graphics, gaming, artificial intelligence, and media processing. This is an exciting opportunity to collaborate with a talented team early in the product lifecycle, driving innovation in RTL-to-GDSII implementation for multi-million gate designs on advanced process nodes. Key Responsibilities: RTL-to-GDSII implementation, including logic synthesis, physical synthesis, and routing. Clock tree synthesis, performance verification (static timing), noise and power verification. Conduct ERC (Electrical Rule Check), reliability verification, and layout verification. Work closely with design automation, methodology, and product integration teams to enhance execution efficiency and quality. Contribute to process improvements and methodology advancements. Qualifications & Requirements: Educational Qualifications: Final-year M.Tech students specializing in Electrical, Electronics, or Microelectronics Engineering, with exposure to Semiconductors and VLSI design. Preferred Skills: Strong fundamentals in Digital VLSI design and RTL-to-GDSII ASIC Design flow. Excellent problem-solving skills and a strong ability to learn new concepts and methodologies quickly. Basic knowledge of UNIX/Linux environments and scripting languages such as Perl, Python, and TCL (a plus). About the 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-one systems. Working alongside industry partners, CCG delivers cutting-edge computing experiences that empower users to focus, create, and connect. As Intel s largest business unit, CCG continues to innovate aggressively, investing in leadership products, next-generation technologies, and scalable IP solutions. Intel s Commitment to Diversity & Inclusion: Intel is an equal opportunity employer, providing fair consideration to all applicants regardless of race, color, religion, gender, sexual orientation, national origin, disability, veteran status, or any other protected characteristic under local law. Intel offers a best-in-class compensation and benefits package, including: Competitive salary, stock options, and performance-based bonuses. Comprehensive healthcare, retirement plans, and paid time off. Opportunities for professional development and career advancement. Qualification : Final-year M.Tech students specializing in Electrical, Electronics, or Microelectronics Engineering, with exposure to Semiconductors and VLSI design.

About NVIDIA NVIDIA has continually reinvented itself. From pioneering the GPU fueling the growth of the PC gaming industry and transforming modern computer graphics to revolutionizing parallel computing, we have consistently shaped the future of technology. Today, NVIDIA GPUs drive innovation in artificial intelligence (AI), providing highly scalable, parallel computation that powers groundbreaking advancements across industries. We are a company that thrives on learning, evolution, and tackling the world s most complex challenges. Join us, and you ll be part of a diverse, innovative, and supportive team that inspires everyone to achieve their best work. About the Role: SOC Design Engineer The System-On-Chip (SOC) group at NVIDIA is expanding! As the complexity of SOCs grows with chips now integrating tens of billions of transistors we are seeking a talented SOC Design Engineer with a passion for RTL integration and chip-level front-end design. This role focuses on padring design, pinmuxing, SOC assembly, and retiming. If you enjoy developing methodologies and automation solutions to optimize SOC creation, this is the opportunity for you. In this role, you will work on NVIDIA s advanced Tegra SOCs, collaborating closely with cross-functional teams, including System Architecture, Physical Design, CAD, and DFT. You will help define and implement scalable and efficient SOC design methodologies for future technologies. What You ll Be Doing Drive SOC assembly and design chip-level functions for Tegra SOCs. Perform front-end design quality checks, reviews, and collaborate with cross-functional teams to resolve issues. Oversee SOC execution across key milestones by defining, tracking, and managing complex dependencies with multiple stakeholders. Develop system-level methodologies, tools, and IPs to enable efficient and scalable SOC design. Identify and address inefficiencies in front-end chip implementation processes, implementing solutions for continuous improvement. What We Need to See B.Tech or M.Tech in Electronics Engineering or a related field. 2+ years of proven experience in chip design, with a focus on SOC integration and design automation. (Experience with padring design and fuse/floorsweep is a plus.) Strong analytical and problem-solving skills. Proficiency in RTL design (Verilog) and knowledge of SOC design/implementation flows. Experience with scripting languages such as Perl, Python, or other industry-standard tools. Exposure to multiple chip design functions, enabling collaboration and problem-solving across diverse teams. Excellent communication and collaboration skills with a team-oriented mindset. Bonus Skills: Experience in SOC verification, synthesis, physical design, and DFT. Familiarity with RTL build flows and Makefiles. At NVIDIA, you ll work on technologies that make a lasting global impact. We believe in fostering a diverse, inclusive work environment where everyone can grow and thrive. NVIDIA is proud to be an equal opportunity employer and does not discriminate based on race, religion, gender identity, age, disability status, or any other protected characteristic. Qualification : B.Tech or M.Tech in Electronics Engineering.

NVIDIA is searching for outstanding senior system software engineer to join the NVIDIA's automotive display driver team and help produce the next-gen groundbreaking products. The best candidates will have very strong C programming skills and validated understanding of Graphics systems software with clear understanding of Computer Architecture and OS fundamentals. In this position you'll have the opportunity to work on the latest innovative NVIDIA automotive platforms. We have a real passion for pushing the technology to its limit and creativity which will be fully tested and applied here. You will closely work with experts from display and adjacent domains in system software, hardware across NVIDIA to build the best products in the segment. What you'll be doing: Define, design, develop, test and maintain our GPU/Display kernel mode drivers and embedded firmwares. Candidate will have an opportunity to work across multiple operating systems, e.g. Linux, Android, QNX. Get to craft, develop, unit test, document and maintain features for NVIDIA GPUs and Tegra SoCs. What we need to see: BS or equivalent experience in Computer Science or related field. 10+ years of experience developing system software and kernel mode drivers in one or more of the Linux, QNX or Android operating systems. Skilled control over C programming to develop multi-threaded complex kernel mode drivers. Excellent understanding of computer architecture, operating systems concepts, memory management, and concurrency. Experience in graphics device drivers will be a distinguisher. Strong communication and interpersonal skills. Ways to stand out from the crowd: Experience working in Linux DRM-KMS (Kernel Mode Setting) subsystem. Conceptual understanding of user-space compositors, e.g. Android HWC, Wayland Compositor, QNX Screen etc. Experience working with display protocols, e.g. HDMI, Display Port. Qualification : BS or equivalent experience in Computer Science or related field.