Top Linux Jobs in Bangalore

Designs, develops, integrates, and troubleshoots industrial robotics and automation solutions. The role analyzes project requirements, develops control algorithms, integrates robotic systems, supports prototype-to-final-system testing, leads implementation, and benchmarks emerging technologies. Required expertise includes linear and nonlinear control, C/C++, Python, MATLAB, Linux-based real-time systems, sensing technologies, data fusion, and industrial system testing. Image processing, computer vision, and robotic automation experience are preferred.

Install, configure, maintain, and support EDA tools and license servers for hardware design teams. Provide Tier 2 and Tier 3 troubleshooting, automate workflows with scripting, optimize tools on Linux-based compute clusters, manage storage requirements, coordinate vendor support cases, and document engineering procedures and best practices.

Build and support infrastructure system software running at user and kernel levels on Linux and Fabric OS. Responsibilities include troubleshooting multiple release streams, performance tuning for scalability, porting applications to new Linux kernels, collaborating across global technical teams, and producing functional specifications, unit test plans, and implementation designs while working with testing, documentation, and customer support.

Leads the architecture, reliability, security, and operational excellence of cloud infrastructure systems. Owns SLOs, monitoring, incident response, on-call practices, and preventative reliability improvements. Drives medium-to-large SRE projects, collaborates across engineering and product, manages project risks, and mentors engineers. Requires deep experience with AWS, Linux, infrastructure as code, Kubernetes, PostgreSQL, observability, CI/CD, cloud security, and production AI/LLM integrations.

Designs, develops, tests, deploys, and maintains scalable enterprise software using Python and Java. Builds APIs, microservices, and backend systems; contributes to CI/CD and DevOps practices; writes automated tests; troubleshoots production issues; optimizes performance, scalability, and security; and collaborates with cross-functional engineering and product teams throughout the software development lifecycle.

Designs, develops, tests, deploys, and maintains enterprise-grade applications using Python and Java. Builds APIs, microservices, and backend systems; participates in the full software development lifecycle; creates automated tests; troubleshoots production issues; improves performance, scalability, and security; contributes to CI/CD and DevOps practices; participates in code reviews; and mentors junior engineers.

Lead validation strategy and execution for power, thermal and performance of AI compute silicon and systems. Define validation plans, run pre- and post-silicon characterization, develop automation and benchmarking frameworks (Python), analyze data to find bottlenecks, collaborate across RTL/firmware/software teams, and drive continuous improvement of validation tooling and methodologies.

Lead validation strategy and execution for power, thermal and performance of AI compute silicon and systems. Manage and mentor a validation team, develop validation plans, automate frameworks in Python, run benchmarks and post-silicon characterization, analyse data to find bottlenecks, and collaborate across architecture, RTL, firmware and systems teams to drive product readiness and optimization.

Lead power, thermal and performance validation for AI compute silicon and systems across pre- and post-silicon. Define validation strategies, develop automation and benchmarking frameworks (Python), run characterization and stress tests, analyze telemetry to identify bottlenecks, and collaborate with architecture, RTL, firmware and software teams to debug and optimize systems for efficiency and reliability.

The Staff Embedded SW/FW Engineer will develop and debug silicon bringup sequences, work on post-silicon validation, and lead engineering efforts on AI chip functionalities.

Lead and execute power, thermal and performance validation for AI compute SoCs and systems across pre- and post-silicon. Develop validation plans, automation frameworks, benchmarks and tooling (Python), analyze performance/thermal data, debug HW/SW interactions, and report findings to stakeholders to ensure efficiency, reliability and scalability.

Design, develop, and debug silicon validation tests for AI chips, collaborating with cross-functional teams to ensure the functionality and performance of new products.

Perform applied R&D to design, validate, and improve Lightspan SW/HW systems. Validate IP and Layer 2/2+ protocols, build automated tests, troubleshoot complex customer environments, collaborate with R&D/product/support, mentor junior engineers, and drive software architecture and feature enhancements including software upgrades and database migrations.

Develop and maintain manual and automated tests for software and hardware, analyze CI test results, manage integration environments and test data, document defects, and collaborate with development teams. The role involves Python or JavaScript test automation, Jenkins-based CI integration, code reviews, AWS and VMware environments, Linux, and investigation of new testing tools and frameworks.

Leads development of advanced access-network products, including Layer 2 switching, Layer 3 routing, MPLS, and networking control or data-plane software. Designs software architecture and abstraction layers, develops multithreaded C/C++ applications for Linux and RTOS environments, and supports highly available systems, upgrades, migrations, and network management using Netconf/YANG. Requires expertise with GPON/PON, routers, switches, networking protocols, data structures, algorithms, and software quality processes.

Develop and maintain automated test frameworks; perform functional, regression, stress, reliability, and performance testing; validate storage, networking, and accelerator software stacks; conduct kernel-level testing and debugging on Linux/BSD; analyze performance bottlenecks using observability tools; and lead technical validation initiatives with cross-functional teams.

Develops and enhances Voice over IP stacks, telephony DSP and SLIC applications for home gateway platforms. Responsibilities include tuning audio algorithms, debugging software, supporting customer IP integration, building audio-quality monitoring tools, and assisting with deployment, configuration, and QA automation. The role requires expert C programming, Linux kernel and networking experience, SIP/IMS voice signaling and media-processing expertise, real-time communication protocols, and familiarity with telephony standards, packet analysis, and security practices.

Lead end-to-end validation of network and packet processor SoCs from pre-silicon emulation and FPGA testing through post-silicon bring-up and product release. Develop comprehensive functional, performance, and stability test strategies; coordinate cross-functional teams; debug hardware, firmware, Linux, and datapath issues; and build automated CI/CD-based validation infrastructure. Drive issue triage, customer qualification, and AI-enabled testing, including predictive triage, log analysis, anomaly detection, and intelligent test selection.

Lead end-to-end physical design for complex SoCs and digital blocks, including floorplanning, placement, CTS, routing, timing closure, STA, IR/EM, power integrity, and DRC/LVS sign-off. Develop P&R automation using Tcl, Python, Perl, and shell scripting; support ECOs and post-layout optimization; collaborate with RTL, STA, DFT, verification, and architecture teams; and mentor junior engineers.

Lead and grow a software engineering team building globally deployed, scalable, highly available Azure AI Search capabilities. Responsibilities include project planning, feature design, mentoring engineers, maintaining high-quality DevOps and customer support processes, analyzing telemetry and usage data, troubleshooting service issues, and balancing customer and business needs. The role also contributes to search service architecture, release tooling, live-site infrastructure, automation, and long-term cloud product strategy.

Supports and operates NVIDIA’s large-scale on-premises and cloud network infrastructure in a 24/7 global operations environment. Responsibilities include monitoring alerts, resolving incidents within SLAs, troubleshooting network issues, managing IP infrastructure and datacenter interconnects, coordinating vendors, implementing upgrades and capacity expansions, improving operational workflows, and documenting best practices. The role requires extensive networking protocol knowledge, cloud experience, automation exposure, and strong incident-management and communication skills.

Designs, builds, and operates Kubernetes clusters on Amazon EKS, EC2 compute infrastructure, and ECS services. Develops Terraform infrastructure as code, defines containerization and deployment standards, monitors availability and cost, and contributes to workload placement, multi-tenancy, operating system image, container lifecycle, and compute isolation architecture. The role also requires collaboration with development and platform teams and expertise in cloud security, Linux, networking, CI/CD, and GitOps.

Develop and maintain end-to-end software and storage infrastructure applications using C++ and C in Unix/Linux environments. Design systems, write specifications, implement and integrate code, perform code reviews, troubleshoot defects, optimize performance, and support deployment. Collaborate with development teams while working independently, applying object-oriented programming, algorithms, design patterns, networking, security fundamentals, and automation practices.

Administer and architect PeopleSoft environments, including installation, upgrades, patching, performance tuning, database administration, backup and recovery, and disaster recovery. Lead PeopleTools and application upgrades, production migrations, environment refreshes, and quarterly patching. Troubleshoot application and server issues, automate infrastructure deployments, monitor production jobs, coordinate technical teams, and support projects across UK and EST business hours.

Lead the architecture, deployment, management, and optimization of Google Cloud infrastructure, with a focus on networking, automation, security, observability, and reliability. Develop cloud-native platform services and tooling in Go, manage infrastructure through Infrastructure as Code, establish engineering standards, evaluate technologies, lead testing and implementation, and mitigate operational risks. Partner across engineering, architecture, product, and platform teams to deliver scalable, secure, and cost-effective systems.