GPU Network Software Engineer Jobs in Bengaluru

Staff Engineer - Software Development (Cloud AI & Network Security) Location: Bengaluru Company: Aviatrix Experience Required: 7+ Years About Aviatrix: Aviatrix is a global leader in cloud network security, trusted by over 500 enterprises. We provide a specialized platform for securing multi-cloud environments, giving organizations the control and visibility needed to modernize their cloud strategies. Architectural Focus & Impact As a Staff Engineer, you will architect and deliver advanced AI-driven network security solutions. This role bridges the gap between Distributed Systems (Python/Go), Real-time Telemetry, and LLM-integrated automation to build self-learning, adaptive security infrastructures. Technical Expertise Core Software Engineering: Languages: Deep proficiency in Python and Go (Golang). Distributed Systems: Mastery of Kubernetes, Microservices, and high-scale observability (Prometheus, ELK). Data Pipelines: Experience with real-time stream processing using Kafka, Flink, Kinesis, or Pub/Sub. Networking & Security Domain: Cloud Infrastructure: Expert knowledge of VPC/VNet design, Routing, Load Balancers, and Overlays. Firewall Technologies: Hands-on with Deep Packet Inspection (DPI), NGFW/IDS/IPS, and Cloud-native firewalls (AWS, Azure, GCP). Security Frameworks: Alignment with Zero Trust, NIST CSF, and CIS Benchmarks. AI & Machine Learning Integration: Model Serving: Experience serving ML models via REST or gRPC. Generative AI: Familiarity with LLM integration, RAG (Retrieval-Augmented Generation), LangChain, and vector databases. Key Responsibilities System Architecture: Lead the design of cloud-native microservices for security control planes. AI-Driven Features: Integrate LLMs for Natural Language-to-Firewall Rule translation and automated incident summarization. Technical Leadership: Mentor junior engineers and set high standards through rigorous Design and Code Reviews. Cross-Functional Collaboration: Partner with Data Scientists and Cloud Networking teams to deliver production-grade AI features. Benefits & Why Join Us Regional Package: Comprehensive pension, private medical coverage, and life assurance. Wellbeing: Annual wellbeing stipend and generous holiday allowance. Growth Culture: We value unique career paths and prioritize candidates who are passionate about the intersection of AI and Security.

Infrastructure Security Leader Location: Bengaluru About Us: Observe.AI Observe.AI is the leading AI-powered platform for customer experience, enabling enterprises to automate customer interactions using AI agents. Our platform ensures natural conversations, delivering predictable outcomes, and is trusted by top companies like DoorDash, Affordable Care, Signify Health, and Verida. Observe.AI blends advanced speech understanding, workflow automation, and enterprise-grade governance to deliver end-to-end AI solutions that optimize both human and AI interactions, providing insights for coaching and quality management. At Observe.AI, we re on a mission to transform customer experiences through AI. As a founding member of our Infrastructure/Cloud Security team, you will have the opportunity to shape and design cloud security from the ground up for a platform trusted by over 80 million users. Reporting directly to the VP of Information Security, you will drive a defense-in-depth approach across infrastructure, IAM, and networks. This is a unique, zero-to-one role where you ll define security strategy, mentor the team, and make a long-lasting impact in a fast-growing AI company. What You ll Be Doing: Security Strategy Development: Design and document security policies, reference architectures, design patterns, and roadmaps to protect our platform. Secure Access & Network Design: Lead efforts to design secure access controls and networks for production environments. Cross-Department Leadership: Collaborate with Corporate IT to implement security measures within the corporate environment. Defense-in-Depth: Implement network segmentation, firewall configurations, VPNs, and deep packet inspection to minimize impact from security incidents. AWS Infrastructure Security: Re-architect AWS infrastructure to enhance security, ensuring that networks, VPCs, and security configurations are optimized. Vulnerability Management: Identify tools and technologies to scan networks, OS, and infrastructure for vulnerabilities, and work with SRE teams to remediate identified risks. Security Compliance: Represent Infrastructure Security in PCI, SOC, ISO, HITRUST, and other regulatory audits, ensuring compliance. Collaborative Design: Partner with engineering teams and architects to ensure infrastructure designs meet both business and security requirements. Stakeholder Collaboration: Work with other teams to integrate up-to-date security features and infrastructure designs across the organization. What You ll Bring to the Role: 9+ years of experience in Software Engineering, Network Security, and AWS Security. Proven track record in designing and implementing secure Cloud Infrastructure, Network Security, and Corporate IT Security. Experience at a SaaS product company with hands-on knowledge of cloud security. Leadership experience in managing Infrastructure Security teams or Security-Focused SRE teams. Strong understanding of network designs, protocols, and certifications like CCNA (or similar). Ability to handle multiple, high-priority projects simultaneously while maintaining focus and quality. Comfort with working off-hours to handle security incidents in a dynamic, fast-paced environment. First-hand experience with major cloud providers, specifically AWS. Deep understanding of large-scale systems and N-tier architectures. Excellent communication skills, able to effectively influence and collaborate with stakeholders across the organization. Perks & Benefits: Medical Insurance: Comprehensive options, including free online doctor consultations. Leave Policies: Yearly privilege and sick leaves as per Karnataka S&E Act, along with generous national, festive, and parental leave. Learning & Development: Access to a fund that supports continuous learning and professional growth. Flexible Benefits: Tax exemptions for meals, PF, etc., along with other flexible benefit plans. Team Culture: Fun events to foster collaboration and culture across the organization.

Lead Software Engineer - Scale & Performance Location: Bengaluru Experience: 6 12 years About VuNet VuNet is a pioneer in Business Journey Observability, using Big Data and Machine Learning to revolutionize digital experiences in the financial services industry. Our platform delivers end-to-end visibility into customer journeys, helping organizations proactively resolve issues, ensure operational resilience, and deliver superior user satisfaction. With over 28 billion digital transactions monitored every month and serving more than 300 million users globally, VuNet is shaping the future of observability for some of the largest banks and financial institutions. We are Series B funded, part of NASSCOM s DeepTech Club, and recognized by global analysts such as Gartner and Omdia. Your Role: Lead Software Engineer - Scale & Performance As a Lead Software Engineer for Scale & Performance, you ll own the performance and scalability benchmarks for VuNet s observability platform. You will work with cutting-edge technologies, design robust test frameworks, and ensure that our platform scales seamlessly to meet the demands of millions of users. Roles & Responsibilities Own performance and scalability benchmarking for key platform components (ingestion pipelines, data storage, and query services). Design and execute load, stress, soak, and capacity tests across microservices, agents, and ingestion layers. Identify and resolve performance bottlenecks in both infrastructure (CPU/memory/IO) and application layers (API latency, throughput, GC behavior). Develop and maintain performance test frameworks, preferably using Kubernetes-based environments. Collaborate with DevOps and SRE teams to optimize system configurations (Kubernetes, Postgres/TimescaleDB, ClickHouse, Kafka) for scale. Implement OpenTelemetry for service instrumentation to monitor system health and latency (p50/p95/p99 metrics). Contribute to capacity planning, scaling strategies (horizontal/vertical), and resource optimization. Analyze production incidents related to scaling issues and drive permanent fixes. Work with engineering teams to design scalable architecture patterns and define SLIs/SLOs for system performance. Document performance baselines, tuning guides, and scalability best practices for internal use. What You Bring Mandatory Skills: Strong background in performance engineering for large-scale distributed systems or SaaS platforms. Expertise in Kubernetes, container runtimes (containerd/Docker), and resource profiling in containerized environments. Solid understanding of Linux internals, CPU/memory profiling, and network stack tuning. Hands-on experience with observability tools (Prometheus, Grafana, OpenTelemetry, Jaeger, Loki, Tempo, etc.). Familiarity with observability platform datastores like ClickHouse, PostgreSQL/TimescaleDB, Elasticsearch, or Cassandra. Experience with performance benchmarking tools such as k6, Locust, JMeter, or custom Golang/Python scripts. Ability to interpret system metrics (CPU usage, memory, GC, latency) and correlate across different layers. Nice-to-Have Skills: Experience with agent benchmarking (OpenTelemetry Collector, custom data shippers). Exposure to streaming systems like Kafka, NATS, or Pulsar. Familiarity with CI/CD pipelines for performance testing and regression tracking. Knowledge of cost optimization and capacity forecasting in cloud environments (AWS/GCP/Azure). Proficiency in Go, Python, or Bash scripting for automation and data analysis. Life at VuNet: At VuNet, we're building a world-class observability platform, and we re just getting started. You ll be part of a passionate, problem-solving team that embraces collaboration, fast learning, and staying ahead of emerging technologies like Gen AI. We foster a high-trust, inclusive culture where collaboration, ownership, and innovation are central to our success. If you're looking to work on cutting-edge tech, make a real impact, and grow with a supportive team you ll fit right in at VuNet. Benefits: Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness and 1:1 counseling support. A culture that promotes continuous learning, innovation, and career growth. Transparent, inclusive, and high-trust workplace. Opportunities for skill enhancement with training programs focused on new Gen AI technologies.

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.

Job Title: Software Engineer C++ Location: Bengaluru Overview: We are seeking a highly capable and detail-oriented C++ Software Engineer to join our core development team in Bengaluru. This role requires strong expertise in C++ across both Windows and Linux environments, with a focus on performance optimization, multithreading, and scalable architecture design. The ideal candidate will have hands-on experience in high-throughput systems such as image processing pipelines or neural network-driven applications. Key Responsibilities: Develop and maintain high-performance C++ applications for Windows and Linux platforms. Optimize processing cycles and memory usage for large-scale image pipelines (e.g., 1 GB/sec camera data). Design and implement robust object-oriented software architectures emphasizing scalability and modularity. Work with multi-threaded programming libraries such as pThreads, OpenMP, and OpenCL. Translate, implement, and optimize DSP algorithms and/or neural network architectures. Build, maintain, and distribute DLLs and static libraries. Design and document API architectures for internal and external integrations. Utilize state machine architecture for structured process flow when required. Implement and maintain test frameworks to ensure code quality and performance. Follow best practices throughout the software development lifecycle, including code reviews and CI/CD. Maintain clear documentation and write clean, readable, and maintainable code. Required Skills & Experience: Proven C++ expertise on Windows and Linux platforms. Strong knowledge of object-oriented programming, design patterns, and modular code design. Experience with multi-threaded programming and parallel architecture design. Proficiency in API development and system integration. Experience building and managing shared and static libraries. Skilled in algorithm optimization, especially for image processing or neural network use cases. Familiarity with software lifecycle best practices, agile methodologies, and version control. Strong commitment to documentation and code quality. Preferred Qualifications: Exposure to state machine architecture. Experience with DSP or image processing algorithms. Understanding of test-driven development and CI frameworks.

Job Title: Software & Algorithm Design Engineer Robotics Location: Bengaluru Overview: We are seeking a talented Software and Algorithm Design Engineer to join our Robotics team. The ideal candidate will have a strong foundation in machine learning, computer vision, and image processing, coupled with practical experience in developing and optimizing algorithms for real-world robotics applications. This role demands proficiency in C++, familiarity with GPU computing, and a systems-level approach to problem-solving. Key Responsibilities: Develop and model new Machine Learning architectures and algorithms from the ground up. Apply expertise in machine vision and image processing to solve complex robotic perception problems. Classify and evaluate various ML models, understanding their benefits, limitations, and evolution. Parameterize problems with a clear understanding of system-level and process-level impacts. Translate and optimize DSP and/or Neural Network-based algorithms for high performance. Build robust test frameworks to validate algorithm correctness and performance. Collaborate closely with cross-functional teams to deliver production-ready, reliable robotics software beyond prototyping stages. Document code and algorithm design meticulously to ensure maintainability and clarity. Utilize GPU technologies, including CUDA, to accelerate algorithm performance. Required Skills & Qualifications: Strong grasp of Machine Learning fundamentals and practical ML toolkits. Proficient in C++ (Python proficiency assumed). Solid background in Machine Vision and Image Processing. Understanding of control systems is a plus. Familiarity with GPU application development and CUDA programming (expert level not required). Experience optimizing algorithms related to DSP or Neural Networks. Skilled in building comprehensive test frameworks for software validation. Passionate about documentation and writing clean, readable code. Comfortable working within a software development lifecycle to create production-quality software. Preferred Knowledge: ML Architectures and Neural Networks Digital Image Processing & Machine Vision CPU and GPU Architectures CUDA and GPU Programming Basic Software Design Patterns Memory Architecture & Optimization Techniques Algorithm Performance Optimization Tools & Technologies: C++ CUDA cuDNN and other machine learning frameworks Computer Vision libraries (e.g., OpenCV)

AI-ML Architect Bangalore, India Location: Bangalore Experience: 10 to 15 Years Role: AI-ML Architect Industry: IT Software / Artificial Intelligence & Machine Learning Job Overview: We are seeking a highly experienced AI-ML Architect to lead the design and implementation of advanced AI and Machine Learning systems. The ideal candidate will have extensive expertise in deep learning frameworks, system-level optimization, and scalable infrastructure, driving innovation in AI across cloud and distributed environments. Key Responsibilities: Architect, develop, and optimize deep learning and neural network applications on Windows and Linux platforms Build, train, and fine-tune advanced AI/ML models using frameworks such as PyTorch, TensorFlow, and Caffe Optimize neural network performance at the kernel level for scalability across diverse hardware architectures Lead development and deployment of AI models using techniques like Reinforcement Learning, Transfer Learning, and Federated Learning Design and develop web services and REST APIs with strong proficiency in Python and C/C++ Automate AI/ML model deployment, management, and scaling using Docker, Kubernetes, and MLOps best practices Work with hardware acceleration technologies such as OpenVINO, OneAPI DPC++, OpenCL, and CUDA to enhance performance Design and implement microservices-based AI infrastructure supporting distributed cloud environments Collaborate with cross-functional teams to integrate AI solutions with enterprise cloud architectures Required Skills & Experience: 10+ years of experience in system software development on Windows or Linux Proven expertise with deep learning frameworks: PyTorch, TensorFlow, Caffe Strong background in Reinforcement Learning, Transfer Learning, and Federated Learning Proficient in Python and C/C++ programming Hands-on experience with RESTful API development Experience automating deployments using Docker, Kubernetes, and MLOps tools Knowledge of GPU and accelerator programming: OpenVINO, CUDA, OpenCL preferred Strong understanding of cloud and distributed computing infrastructures Experience adopting microservices architecture for scalable AI platforms Preferred Qualifications: Advanced degree in Computer Science, AI, Machine Learning, or related fields Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Experience in leading AI teams and mentoring architects and engineers Lead AI innovation on cutting-edge projects with global impact Collaborate in a high-growth, fast-paced environment fostering continuous learning Work with advanced AI infrastructure and state-of-the-art hardware acceleration technologies Opportunity to shape AI architecture and influence strategic technology decisions Qualification : Advanced degree in Computer Science, AI, Machine Learning, or related fields

Senior Software Engineer Google Ads Location: Bengaluru, Karnataka, India Company: Google Minimum Qualifications Bachelor s degree or equivalent practical experience. 5+ years of experience in software development using one or more programming languages. Strong understanding of data structures and algorithms. 3+ years of experience in testing, maintaining, or launching software products. 1+ year of experience in software design and architecture. Preferred Qualifications Master s degree or PhD in Computer Science or a related technical field. 1+ year of experience in a technical leadership role. Experience developing accessible technologies. About the Role Google s software engineers are at the core of building next-generation technologies that shape the way billions of users interact with information and each other. This role demands versatility, a strong grasp of core computer science concepts, and a readiness to solve challenges across the technology stack. As a Senior Software Engineer in the Google Ads team, you will work on products that power the open internet and connect advertisers with billions of users worldwide. You ll design and develop solutions across domains including search, display, shopping, travel, video advertising, and analytics. Your work will help businesses of all sizes from local startups to global enterprises achieve measurable results with trusted, impactful advertising tools. Key Responsibilities Design, develop, test, deploy, and maintain scalable software solutions. Write clean, efficient, and well-tested code for product or system development. Participate in and/or lead design and architecture reviews to assess and choose optimal technologies. Review code written by peers to ensure adherence to best practices regarding style, testability, and performance. Troubleshoot and resolve system or product issues through root cause analysis of hardware, network, or software components. Maintain and contribute to internal documentation and educational materials; adapt content based on user feedback and product changes. Qualification : Bachelors degree or equivalent practical experience.

Job Title: Machine Learning Engineer III Location: Bangalore, India Company: Glance An InMobi Group Company About Glance Founded in 2019, Glance is a cutting-edge consumer technology company operating innovative digital platforms including Glance, Roposo, and Nostra. Our flagship Glance Lock Screen reaches over 450 million smartphones worldwide, delivering personalized, context-driven content without requiring app downloads. Roposo redefines live streaming experiences with creator-led interactive content, and Nostra stands as the largest gaming platform in India and Southeast Asia, offering immersive gaming and social engagement. Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group. At Glance, we believe in empowering you to dream big, innovate boldly, and own your impact from day one. Collaborate with talented peers on mission-critical projects leveraging bleeding-edge technology to disrupt consumer experiences. Enjoy perks including daily meals, gym access, training sessions, state-of-the-art tech tools, and a family-friendly workspace where your kids and pets are always welcome. Role Overview We are seeking a skilled Machine Learning Engineer III passionate about designing, developing, deploying, and scaling high-impact ML solutions. You will partner closely with data scientists, engineers, and product teams to build end-to-end ML systems, microservices, and APIs that power AI-driven products on Glance s platforms. Key Responsibilities Architect and implement scalable ML solutions to accelerate experimentation, model building, and deployment. Develop microservices and APIs for serving machine learning models and services efficiently. Design, prototype, and build new ML/AI products and proof-of-concepts in collaboration with cross-functional teams. Explore and adopt new platforms, algorithms, and technologies to enhance ML capabilities. Manage project priorities, deadlines, and deliverables while maintaining transparent communication across teams. Take ownership of end-to-end ML engineering lifecycle from research collaboration to production deployment. Preferred Qualifications 5+ years of professional experience as a Machine Learning Engineer with a proven track record of delivering impactful ML solutions. Bachelor s, Master s, or PhD degree in Computer Science, Mathematics, Statistics, or related analytical fields. Deep theoretical and practical knowledge of recommender systems, computer vision (CNNs), GPU optimization, and generative AI models. Proficiency in Python, Golang, Spark, and familiarity with popular data science and ML libraries. Strong background in advanced mathematics, statistics, and algorithmic problem solving. Excellent technical documentation skills and demonstrated leadership in driving cross-functional projects. Experience working in data science or research-oriented roles with a passion for solving complex challenges. Join Glance and contribute to building next-generation AI-driven consumer experiences. Apply now to be part of a visionary tech team in Bangalore! Qualification : Bachelors, Masters, or PhD degree in Computer Science, Mathematics, Statistics, or related analytical fields.

Software Engineer III - AI/ML, Platforms and Devices Company: Google Location: Bengaluru, Karnataka, India Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience in software development with one or more programming languages, or 1 year with an advanced degree. 2 years of experience in data structures or algorithms. 1 year of experience in one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred Qualifications: Master's degree or PhD in Computer Science or a related technical field. Experience developing accessible technologies. About the Job Google's software engineers work on cutting-edge technologies that transform how billions of users connect, explore, and interact with information. Our products must handle data at a massive scale, far beyond web search. We seek engineers who bring innovative ideas from various fields, including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence (AI), natural language processing (NLP), UI design, and mobile development. As a Software Engineer, you will work on training and optimizing complex machine learning (ML) models for the Tensor Processing Unit (TPU). By enabling models across diverse applications like camera, speech, Translate, TTS (Text-to-Speech), and others on Edge TPU, you will gain valuable experience in efficient model architectures, optimization techniques, and on-device machine learning at Google. You will also be responsible for managing project priorities, deadlines, and deliverables. Google's mission is to organize the world s information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, software, and hardware to create radically helpful experiences for users. We design and develop new technologies and hardware to make user interactions faster, more seamless, and powerful. Whether advancing form factors, improving interaction methods, or innovating new ways to capture and sense the world around us, our Devices & Services team is helping make people's lives better through technology. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency). Contribute to documentation or educational content and adapt based on product updates and user feedback. Triage product or system issues, debug, track, and resolve by analyzing the source of issues and their impact on hardware, network, or service operations. Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing. Qualification : Master's degree or PhD in Computer Science or a related technical field.

Software Engineer III - Machine Learning, Google One Company: Google Location: Bengaluru, Karnataka, India Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience in software development with one or more programming languages, or 1 year with an advanced degree. 2 years of experience with data structures or algorithms in either an academic or industry setting. Preferred Qualifications: Experience with Data Analytics, Privacy Data Handling, Privacy Design Document, and Mathematical Optimization. Understanding of Machine Learning (ML). Excellent software engineering and problem-solving skills through programming. Excellent communications skills. About the Job Google software engineers create next-generation technologies that transform how billions of users connect, explore, and interact with information. Our products must scale to handle vast amounts of data, and our work extends far beyond web search. We are looking for engineers with fresh ideas from a variety of areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence (AI), natural language processing (NLP), UI design, and mobile technologies. As a Software Engineer at Google, you will work on projects that are critical to Google s needs, with opportunities to switch teams and projects as our fast-paced business grows. We need engineers who are versatile, show leadership qualities, and are enthusiastic about taking on new problems across the full-stack to push technology forward. Google One (G1) is Google s membership service rooted in storage, offering access to premium features. Our team works across multiple product areas to personalize user experiences through Machine Learning. The Platforms and Ecosystems product area encompasses Google's various computing software platforms across environments such as desktop, mobile, and applications. These products provide enterprises, and ultimately end users, the ability to utilize and manage services at scale. We build innovative software products from apps to TVs, from laptops to phones that impact people s lives globally. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency). Contribute to documentation or educational content and adapt based on product updates and user feedback. Triage product or system issues, debug, track, and resolve them by analyzing the source of issues and their impact on hardware, network, or service operations. Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Senior Engineer AI/ML, C/C++ Location: Bangalore, Karnataka, India Company: Qualcomm India Private Limited General Summary As a Qualcomm Software Engineer, you will design, develop, modify, and validate embedded and edge cloud software or specialized utility programs that launch cutting-edge, world-class products. Collaboration is key in this role, working across systems, hardware, test, and architecture teams to meet software performance and interface requirements. About the Role We are seeking a talented AI/ML Engineer with a solid background in AI/ML, C/C++, and operating systems. The ideal candidate has 3 to 5 years of experience in machine learning development and implementation and will be responsible for building and deploying AI gateway solutions that promote innovation and operational efficiency. Required Qualifications Bachelor's or Master s degree in Computer Science, Engineering, or related field. 3 to 5 years of experience in AI/ML development. Technical Skills Strong proficiency in C and C++ programming. Deep understanding of operating system internals and functions. Experience with ML frameworks like TensorFlow, PyTorch, or equivalent. Strong grasp of data structures, algorithms, and software design patterns. Experience in data preprocessing techniques and related tools. Familiarity with Git and version control best practices. Soft Skills Excellent analytical and problem-solving skills. Strong communication and collaboration abilities. Self-motivated with the ability to work independently and as part of a team. Adaptable and eager to stay updated with evolving technologies. Qualification : Bachelor's or Masters degree in Computer Science, Engineering, or related field.

Job Title: Lead Systems Software Engineer Location: Bengaluru, Karnataka, India (On-Site) Team Overview: Join our Application Security team at Cloud Software Group, where we focus on protecting web applications and services from security threats. As a part of this passionate team, you will engage in application layer attack protection, threat intelligence, and the mitigation of OWASP attacks. We are highly focused on emerging security trends and delivering cutting-edge solutions to defend against advanced cyber threats. Job Description: As a Lead Systems Software Engineer, you will be responsible for implementing, configuring, and maintaining Web Application Firewalls (WAFs) to safeguard web applications and services. This role involves identifying security threats, performing security assessments, and collaborating with cross-functional teams to ensure security best practices are followed throughout the development lifecycle. Key Responsibilities: WAF Implementation & Maintenance: Implement and maintain Web Application Firewalls (WAFs) to protect web applications and services from security threats, including bot attacks. Security Policies & Rules: Develop and manage security policies and rules for WAFs to ensure the prevention of OWASP-Top-10 vulnerabilities, unauthorized access, data breaches, and other security incidents. Security Assessments & Penetration Testing: Conduct security assessments and penetration testing of web applications and services to identify vulnerabilities and recommend remediation measures. Collaboration: Work closely with other security teams and developers to ensure security best practices are integrated into the design, development, and maintenance of web applications and bot management systems. Emerging Threats Awareness: Stay informed on the latest security threats, technologies, and best practices to continually improve the security posture and protect against evolving threats for WAF and API. Incident Response: Participate in incident response and investigations as needed to identify the root cause of security incidents and implement corrective actions to prevent recurrence. Continuous Improvement: Lead initiatives to improve processes, systems, or products to enhance job area performance. Address complex security problems by considering multiple issues across various specialties. Qualifications: Education: Bachelor s (BE/B.Tech) or Master s degree in Computer Science, Information Security, or related fields, or equivalent work experience. Experience: 9-11 years of experience in network protocols (TCP, UDP, HTTP, DNS, SSL/TLS) and web application security, with a focus on WAFs and bot mitigation. Technical Expertise: Experience with industry-leading WAFs such as Citrix NetScaler AppFirewall, Imperva, ModSecurity, or F5 BIG-IP ASM. Proficiency in C, C++, and scripting languages like Python and Perl. Analytical Skills: Strong problem-solving abilities with a demonstrated capacity to identify and respond to security threats quickly. Communication Skills: Excellent verbal and written communication skills with the ability to collaborate effectively across teams and with stakeholders. About Us: Cloud Software Group is one of the largest cloud solution providers globally, serving over 100 million users. Our suite of cloud-based products powers productivity and collaboration, enabling real work to get done from anywhere. We value passion for technology, risk-taking, and innovation. If you re ready to be part of a company on the brink of transformative growth, now is the perfect time to join us. We are committed to Equal Employment Opportunity (EEO) and compliance with all applicable laws, ensuring a diverse and inclusive workplace for all. This position is ideal for individuals passionate about cybersecurity and looking to be at the forefront of web application protection and security innovations. Qualification : Bachelors (BE/B.Tech) or Masters degree in Computer Science, Information Security, or related fields, or equivalent work experience.

Job Title: Senior Systems Software Engineer Location: Bengaluru, Karnataka, India Team Overview: Join a team of Application Security experts at Cloud Software Group, where we focus on securing web applications and services. Our team is passionate about application layer attacks, protection mechanisms, threat intelligence, and protecting against OWASP threats. We re constantly evolving, staying at the forefront of emerging security trends. Job Description: As a Senior Systems Software Engineer, you will be responsible for implementing, configuring, and maintaining Web Application Firewalls (WAFs) to secure web applications and services from potential threats, including bot attacks. This role involves ensuring the effective operation of WAFs to prevent common vulnerabilities and unauthorized access, conducting security assessments, and collaborating with other security and development teams to enhance the security posture of our web applications. Key Responsibilities: WAF Implementation & Maintenance: Implement, configure, and maintain Web Application Firewalls (WAFs) to protect against security threats like OWASP-Top-10 vulnerabilities, unauthorized access, data breaches, and bot attacks. Security Policy & Rule Development: Develop and manage security policies and rules for WAFs to enhance their effectiveness in preventing security incidents. Penetration Testing & Security Assessments: Perform security assessments and penetration testing of web applications and services to identify vulnerabilities and recommend remediation actions. Collaboration: Work closely with other security teams, developers, and stakeholders to ensure security best practices are followed in the design, development, and deployment of features for web applications and bot management. Stay Updated on Security Trends: Keep informed about emerging security threats and technologies, continually improving security mechanisms to safeguard against new threats for WAF and API. Incident Response: Participate in incident response and investigations to understand the root cause of security breaches and implement corrective actions to prevent future incidents. Process Improvement: Lead initiatives for improving processes, systems, and products to optimize the performance and effectiveness of security measures. Qualifications: Education: Bachelor's (BE/B.Tech) or Master s degree in Computer Science, Information Security, or related fields, or equivalent professional experience. Experience: At least 5 years of experience working with network protocols like TCP, UDP, HTTP, DNS, SSL/TLS, and web application security, particularly in WAF and bot mitigation. Technical Skills: Proficiency with industry-leading WAF solutions like Citrix NetScaler AppFirewall, Imperva, ModSecurity, or F5 BIG-IP ASM. Experience in programming languages such as C, C++, and scripting languages like Python or Perl. Problem-Solving Skills: Strong analytical and problem-solving abilities to identify, assess, and mitigate security threats quickly. Communication & Collaboration: Excellent communication skills, with the ability to effectively collaborate with stakeholders across teams. About Us: Cloud Software Group is one of the world s largest providers of cloud solutions, empowering more than 100 million users globally. At Cloud Software Group, we re building the future of work, enabling people to get things done from anywhere. Our team thrives on passion for technology, embracing the courage to take risks and innovate. We re on the brink of another significant leap in technology evolution and we need experts like you to help us get there. If you're passionate about cybersecurity and eager to drive innovations, this is the perfect time to join us and be part of something transformative. Qualification : Bachelor's (BE/B.Tech) or Masters degree in Computer Science, Information Security, or related fields, or equivalent professional experience.

Job Title: Senior Systems Software Engineer Location: Bengaluru, Karnataka, India About Cloud Software Group: Cloud Software Group combines the capabilities of both Citrix and TIBCO, creating one of the world s largest cloud software providers, serving more than 100 million users globally. When you join Cloud Software Group, you ll be making a difference for real people who rely on our suite of cloud-based solutions to get their work done from anywhere. At Cloud Software Group, we value diverse lived experiences, varied perspectives, and the courage to take risks. Our teams are encouraged to dream big, innovate, and build the future of work. We are on the brink of a massive growth leap, and we need your expertise to make it happen. About This Team: Citrix, the recognized leader in VDI, Desktop-as-a-Service, and application delivery solutions, empowers enterprises of all sizes and industries to enable secure hybrid and remote working environments. With Citrix, businesses can provide employees with secure access to desktops, applications, and SaaS apps, ensuring high-performance user experiences, zero trust security, and operational cost efficiency whether customers are using cloud, on-premises, or hybrid deployments. Joining our team means the opportunity to develop cutting-edge solutions that help 100 million people worldwide securely access their digital workspaces. Key Responsibilities: Secure Access Development: You will work on a team focused on delivering secure access to Private Web Apps and SaaS apps using our ZTNA (Zero Trust Network Access) platform. Architecture Definition: Collaborate with stakeholders like Product Management and Customer Experience to define the architecture for system components. Feature Implementation: Lead the design and implementation of complex features that enhance security and scalability. Agile Development: Embrace agile development methodologies, including SAFE and SCRUM, to deliver high-quality software solutions. Code Testing: Unit-test your code for robustness, ensuring it handles edge cases, usability issues, and overall reliability. Continuous Learning: Engage in continuous learning to develop your technical expertise and stay ahead of industry trends and emerging technologies. Skills, Experience & Qualifications: Experience: Minimum of 5+ years of hands-on software development experience. Passionate about writing high-quality, scalable code and following design patterns. Comfortable conducting code/design reviews and providing constructive feedback. Technical Expertise: Proven experience in developing business-critical applications. Strong proficiency in object-oriented programming and hands-on experience with C++ for building desktop applications. Expertise in Windows, Mac, and Linux internals and debugging. Experience in Multi-Threaded Programming and crash dump analysis. Familiarity with standard debugging tools like WinDbg, GDB, and similar. Strong knowledge of operating systems, networking, data structures, and algorithms. Flexibility to work across different platforms and technologies (cloud, web, etc.) based on business needs. Experience in building applications on Windows/Linux/Mac. Knowledge of TypeScript is a plus. Education: Bachelor s or Master s degree in Engineering (Computer Science or a related field). Pay & Benefits: Competitive salary and annual bonus. Health Insurance, Life and Accidental Insurance. Tax-saving benefits like NPS (National Pension Scheme). Free transportation to and from the office. Complimentary food and fruit juices at the office campus. Paid leave benefits, including sick leave, casual leave, and paternal leave. About Us: Cloud Software Group is one of the world s largest cloud solution providers, supporting over 100 million users around the globe. By joining us, you ll be making a tangible difference for real people who rely on our suite of cloud products to get work done from anywhere. Our team values passion for technology, the courage to take risks, and empowering every team member to learn, grow, and build the future of work. Join us as we continue to evolve and grow in the cloud era. Qualification : Bachelors or Masters degree in Engineering (Computer Science or a related field).

Job Title: Software Development Engineer (SDE) Location: Bengaluru Company: LoadShare Networks About LoadShare Networks LoadShare is building India s largest intra-city logistics marketplace. Founded in 2017, we re a Series C startup backed by top-tier investors including Tiger Global, Matrix Partners, BII, Stellaris, BeeNext, and Filter Capital. Our technology-driven platform supports a wide range of intracity logistics services from Quick Commerce (Blinkit, Zepto, BBNow), Food Delivery (Swiggy, Zomato), and Hyperlocal (Apollo, Licious), to Grocery (Reliance, Spencers, ONDC), eCommerce (Flipkart, Amazon, Meesho, ShipRocket), and Bike Taxi (Uber, Ola). Scale: Over 500,000 last-mile orders delivered daily across 500+ towns via a fleet of 20,000+ riders. Technology: Our intelligent systems optimize fleet usage across categories by syncing with demand patterns. Our SaaS platform powers more than 1 million daily shipments across the supply chain. Role Overview We are looking for a Software Development Engineer (SDE) to join our team in Bengaluru. You will be responsible for independently developing new features, enhancing existing functionality, and solving complex engineering challenges at scale. This role involves end-to-end ownership of user stories, and close collaboration with product managers, designers, and other engineers. Key Responsibilities Own the full lifecycle of assigned features from design to deployment. Write clean, scalable, and high-performance code. Innovate on complex problems with efficient, creative solutions. Contribute to the design and architecture of LoadShare s backend systems. Collaborate with cross-functional teams to deliver high-impact features. Act as a go-to expert in key areas of the codebase. Identify and proactively reduce technical debt. Mentor junior engineers and participate in code reviews. Key Result Areas Timely Delivery: As per plans defined by the POD lead. Engineering Velocity: Consistent feature throughput. Quality of Output: Minimal defects in QA and production Optimized performance in production environments Code Quality: Follows architecture and best coding practices. Requirements B.E./B.Tech in Computer Science or a related field. 2 4 years of software development experience. Strong programming skills in Java, with a focus on multi-threading and performance. Solid foundation in data structures, algorithms, and concurrency. Experience with databases: PL/SQL, RDBMS, and familiarity with Cassandra, Redis, Elasticsearch. Hands-on experience with AWS for deploying and maintaining services. Experience with microservices architecture and scalable systems. Ability to debug, optimize, and resolve production issues efficiently. Strong collaboration and communication skills. Qualification : B.E./B.Tech in Computer Science or a related field.

Job Title: Software Engineer Location: Bengaluru, India Company: Google Minimum Qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years of experience with data structures or algorithms. Preferred Qualifications: Master's degree or PhD in Computer Science or related technical fields. Experience developing accessible technologies that meet diverse user needs. About the Job: Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design, and mobile; the list goes on and continues to grow every day. As a software engineer, you will work on a specific project critical to Google s needs, with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, to display leadership qualities, and to be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google Cloud Overview: Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology and tools to help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities: Write product or system development code, focusing on building scalable and efficient systems. Participate in, or lead design reviews with peers and stakeholders to decide on the most appropriate technologies for the task. Review code developed by other developers and provide feedback to ensure best practices, such as: Style guidelines Code accuracy Testability Efficiency Contribute to existing documentation or educational content, and adapt it based on product or program updates and user feedback. Triage product or system issues and debug/track/resolve them by analyzing the sources of issues and understanding their impact on hardware, network, or service operations and quality. Qualification : Master's degree or PhD in Computer Science or related technical fields.

Job Title: AI Engineer Group: Platform & Energy Business Unit: CARIAD Business Unit India Location: Whitefield, Bangalore Experience: 5 to 9 years About CARIAD (Car, I Am Digital) CARIAD is an automotive software company that brings together the Volkswagen Group's software capabilities and builds upon them to drive innovation across the automotive industry. We are developing a unified technology and software platform, including a vehicle operating system, a vehicle cloud platform, and a new architecture for all Volkswagen Group brands. Operating under a licensing agreement with CARIAD SE in Germany, CARIAD India is at the heart of transforming automotive mobility through technology. Join us and become part of a team that is building the future of automotive software. With a talented team of over 360 experts at CARIAD India and 6,000+ global CARIDIANs, you will work on cutting-edge platforms and technologies, from firmware and bootloaders to AUTOSAR, Linux/QNX BSP, and service-oriented architecture-based middleware components. Job Description We are looking for an AI Engineer to join our team and contribute to developing innovative AI models and solutions for the automotive industry. As an AI Engineer, you will work with large language models (LLMs), deep learning frameworks, and natural language processing (NLP) techniques, creating impactful AI applications. You will play a key role in AI model development, training, fine-tuning, and integrating AI solutions across automotive platforms. Key Responsibilities: AI Model Development: Design, develop, and implement advanced AI models, specifically leveraging deep learning frameworks like TensorFlow, PyTorch, and Scikit-learn. LangChain Expertise: Utilize LangChain to integrate generative AI capabilities into platforms and applications, ensuring efficient and scalable AI implementations. Large Language Models (LLMs): Implement and fine-tune large language models (LLMs), exploring new ways to enhance their performance and apply them to real-world automotive challenges. NLP Techniques: Apply natural language processing (NLP) techniques to improve AI systems' understanding and processing of textual data. Data Handling: Work with large datasets, performing data preprocessing, cleaning, and analysis to ensure the quality and accuracy of AI models. System Integration: Collaborate with both frontend and backend teams to integrate AI solutions into automotive software platforms. Model Training and Fine-tuning: Lead the training of machine learning models, fine-tune them for specific use cases, and optimize for real-time applications in the automotive domain. Collaboration: Work closely with cross-functional teams, including engineers, data scientists, and product managers, to ensure successful AI application development and deployment. Required Skills and Experience: Educational Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. AI Expertise: Proven experience in developing AI models, particularly using Python and frameworks like TensorFlow, PyTorch, or Scikit-learn. LangChain Knowledge: Strong expertise in LangChain and its use in building generative AI solutions. Large Language Models (LLMs): Solid understanding of LLMs and practical experience implementing them in various applications. NLP Experience: Experience with natural language processing (NLP) techniques, including text processing, semantic analysis, and machine translation. Data Handling: Ability to work with large datasets, performing efficient data preprocessing, cleaning, and analysis. Frontend and Backend Systems: Hands-on experience in both frontend and backend systems, ensuring smooth integration of AI models into full-stack applications. Model Training: Experience in training and fine-tuning machine learning models, especially LLMs, to improve accuracy and performance. Good to Have: Automotive Domain Experience: Familiarity with the automotive industry and how AI can be applied to automotive systems, such as autonomous driving, in-vehicle infotainment, and smart diagnostics. Innovative Environment: Work on cutting-edge AI technologies and contribute to the digital transformation of the automotive industry. Career Growth: Opportunity to develop your career and grow within a global company that values creativity, innovation, and continuous learning. Collaborative Culture: Work alongside a talented and motivated team of experts from around the world to solve complex challenges. About CARIAD India CARIAD India is an integral part of the global CARIAD team, contributing to the advancement of automotive software technologies. By joining CARIAD India, you'll be part of a dynamic team driving innovation in the automotive industry, developing groundbreaking technologies, and creating a positive impact on the future of mobility. Qualification : Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Software Engineer at Google Minimum Qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting. 2 years of experience with data structures or algorithms in either an academic or industry setting, and building software for data privacy or security (e.g., identity and access management). Experience with C++, infrastructure design, and Android app development. Preferred Qualifications: Master's degree or PhD in Computer Science or related technical fields. 2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging. Experience developing accessible technologies. Experience with Security Analysis, Program Analysis, Decompiler. Knowledge of code and system health, diagnosis and resolution, and software test engineering. About the Job: Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will participate in the development of large scale Google infrastructure Design, as well as develop, and maintain scalable Google wide infrastructure to scan 1 million Android apps per day, manage Petabytes of analysis data, and protect over 3 billion devices. You will build systems to manage and extract intelligence from various sources and make the intelligence available to various internal systems and stakeholders The Platforms and Ecosystems product area encompasses Google's various computing software platforms across environments (desktop, mobile, applications). The products provide enterprises, and ultimately end users, the ability to utilize and manage their services at scale. We build innovative and compelling software products from apps to TVs, from laptops to phones that have an impact on people s lives across the world. Responsibilities: Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Job Title: Software Engineer Role Overview: The Software Engineer is responsible for the development, maintenance, and optimization of software solutions and applications. This role involves applying scientific methods to analyze and solve software engineering challenges while contributing to research, design, development, and long-term maintenance. The position requires independent problem-solving skills, technical leadership, and collaboration with team members and stakeholders. Key Responsibilities: Software Development & Engineering: Designs, develops, and maintains software applications using industry best practices. Applies scientific methods to analyze and resolve software engineering problems. Ensures software quality, performance, and security through testing and optimization. Technical Leadership & Innovation: Exercises original thought and judgment in solving complex technical challenges. Leads software development activities, mentoring junior engineers when required. Drives innovation by proposing and implementing cutting-edge solutions. Collaboration & Stakeholder Engagement: Works closely with internal and external stakeholders to understand project requirements. Provides expert advice and recommendations proactively. Explains complex technical concepts to a variety of audiences to ensure clarity. Project & Process Management: Acts as a key contributor in complex software development environments. Assesses and adapts to project challenges, formulating innovative solutions. Manages costs and ensures profitability for specific projects or work areas. Maintains compliance with best practices in software design, development, and documentation. Continuous Learning & Professional Growth: Builds expertise in software engineering disciplines to meet industry standards. Creates informal networks and fosters a knowledge-sharing culture within and outside the team. Motivates and inspires team members to achieve technical and commercial goals. Required Skills & Competencies: Strong understanding of programming concepts, software design, and development principles. Ability to work autonomously with minimal supervision. Experience leading software development teams in a complex environment. Excellent problem-solving skills with a proactive mindset. Strong communication skills, capable of conveying technical concepts to diverse audiences. Ability to work under pressure while maintaining high-quality standards. This role provides an exciting opportunity to contribute to innovative software solutions while leading and collaborating with cross-functional teams.