Ramamurthy Nagar Bengaluru Karnataka Linux driver developer Jobs – 137 Open Jobs Today

Software Engineer, PhD, Early Career, Campus, 2025 Start
Google —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Computer Science
- Data analysis skills
BSP - Driver Developer
KPIT Technologies GmbH —Bengaluru, Karnataka
- Full-time
- Computer Science
- Master's degree
- C++
Lead Engineer - Target India
Target —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- AWS
5d
Staff Platform Engineer
Bazaarvoice —Bengaluru, Karnataka
- Hybrid work
- System design
- Java
- AWS
- Health insurance
Quick apply
QAE II, SSG
ADCI - BLR 14 SEZ —Bengaluru, Karnataka
- Full-time
- Linux
5th March- Smart Mobility Decoded
KPIT Technologies GmbH —Bengaluru, Karnataka
- Full-time
- Java
- C++
- Linux
Software Engineer – C++/Python, Linux
Applied Materials —Bengaluru, Karnataka
- Full-time
- Computer Science
- DevOps
- System design
- Work from home
5th March- Women in Mobility
KPIT Technologies GmbH —Bengaluru, Karnataka
- Full-time
- Java
- C++
- Linux
Senior Technical Lead
Infinite Computer Solutions Ltd. —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- DevOps
13d
Principal Graphics Engineer
Parallelz —Bengaluru, Karnataka
- Remote
- Research
- C++
- Bachelor's degree
Quick apply

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Software Engineer, PhD, Early Career, Campus, 2025 Start

Google -
Bengaluru, Karnataka

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Job details

Full-time

Qualifications

Data mining
Doctoral degree
Computer Science
Data analysis skills
System design
UNIX
Google Cloud Platform
Research
Java
OS Kernels
C++
C
Machine learning
Assembly
Embedded software
Distributed systems
Natural language processing
Computer networking
Linux
ARM
AI
Multithreading
Python
Debugging

Full job description

Minimum qualifications:

PhD degree in Computer Science, a related technical field, or equivalent practical experience.
Experience coding in one of the following programming languages including but not limited to: C, C++, Java, or Python.
Experience in one or more of the following: architecting or developing distributed systems, concurrency, multi-threading, or synchronization.

Preferred qualifications:

Experience with performance, reliability, systems data analysis, visualization tools, or debugging.
Experience in code and system health, diagnosis and resolution, and software test engineering.
Research experience in algorithms, architecture, artificial intelligence, compilers, database, data mining, distributed systems, machine learning, networking, or systems.
Experience with performance, reliability, systems data analysis, visualization tools, architecture, compilers, database, data mining, networking or systems.
Experience with Unix/Linux, Kernel development, microcontrollers, SoC, device drivers, hardware, power management, ARM processors, performance optimization, file systems, bootloading, firmware, x86 assembly, system BIOS, or hardware/software integration.

About the job

Google Cloud's software engineers build the next-generation technologies that transform how billions of users connect, explore, and interact with information and each other. We're looking for engineers who bring fresh ideas across areas like information retrieval, distributed computing, large-scale system design, networking, data storage, security, AI, and natural language processing—the list keeps growing.

As a Software Engineer, you’ll work on projects critical to Google Cloud’s evolving needs, with the flexibility to move between teams and initiatives as both you and our business grow. You'll be empowered to think like an owner, proactively identifying customer needs, taking action, and driving innovation. We value engineers who are versatile, display leadership, and eagerly handle challenges across the full stack.

Within Google Cloud, the Machine Learning, Systems, and Cloud AI (MSCA) organization creates category-defining AI/ML capabilities built on Google’s frameworks, infrastructure, and services. We design and manage the software, hardware, and ML systems infrastructure that power Google services like Search and YouTube, and Google Cloud products.

As a PhD Software Engineer in MSCA, your research expertise will help solve real-world problems at a massive scale. You'll collaborate on innovative projects in areas such as AI, ML, and distributed systems, contributing to products used by billions. With thousands of PhDs across Google, your academic background will be part of a strong community of researchers and engineers shaping the future of technology.

We prioritize security, efficiency, and reliability in everything we do, from developing TPUs to operating one of the world’s largest networks, while shaping the future of hyperscale computing.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Responsibilities

Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide on 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. Lead and collaborate on team projects to carry out design, analysis, and development across the stack using your research expertise.
Study, diagnose and resolve complex technical modeling and systems issues by analyzing the sources of the issues and the impact on quality.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Apply Now

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linux driver developer jobs in ramamurthy nagar bengaluru karnataka

Software Engineer, PhD, Early Career, Campus, 2025 Start

BSP - Driver Developer

Lead Engineer - Target India

Staff Platform Engineer

QAE II, SSG

5th March- Smart Mobility Decoded

Software Engineer – C++/Python, Linux

5th March- Women in Mobility

Senior Technical Lead

Principal Graphics Engineer

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