Bengaluru Karnataka Graphics developer Jobs – 147 Open Jobs Today

AI/ML Hardware Architect, Cloud, Silicon
Google —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Master's degree
- C++
Pipeline Supervisor VFX
DNEG —Bengaluru, Karnataka
- Computer Science
- Mentoring
- Agile
Pipeline TD (Feat Animation)
DNEG —Bengaluru, Karnataka
- Computer Science
- Linux
- Leadership
VFX Pipeline TD
DNEG —Bengaluru, Karnataka
- Computer Science
- Linux
- Leadership
Connected Vehicles_Talent Hunt_Android Middleware
KPIT Technologies GmbH —Bengaluru, Karnataka
- Full-time
- Engineering
- Java
- C++
Senior AI/ML Hardware Architect, Google Cloud
Google —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Master's degree
- C++
Lead (Android Automotive MW/HAL/AOSP)
KPIT Technologies GmbH —Bengaluru, Karnataka
- Full-time
- Engineering
- Java
- C++
Senior Staff Software Engineer
e-Zest Solutions —Bengaluru, Karnataka
- Java
Engineering Lead
e-Zest Solutions —Bengaluru, Karnataka
- Java
Sr. Enterprise Product Manager
e-Zest Solutions —Bengaluru, Karnataka
- Java
Development Manager
e-Zest Solutions —Bengaluru, Karnataka
- Java
Sr. Data Engineer
e-Zest Solutions —Bengaluru, Karnataka
- Java

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Pipeline Supervisor VFX
DNEG —Bengaluru, Karnataka
This role is an integral part of the connection between our excellent R&D teams and our brilliant artists and Production staff. 3-5 years of experience in VFX.
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DNEG —Bengaluru, Karnataka
As well as being able to demonstrate technical skill and initiative, you will need to be an excellent communicator - your ability to accurately and succinctly…

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AI/ML Hardware Architect, Cloud, Silicon

Google -
Bengaluru, Karnataka

Apply Now

Job details

Full-time

Qualifications

Doctoral degree
BSEE
Google Cloud Platform
Master's degree
C++
Electrical experience
C
Bachelor's degree
Machine learning
Computer Engineering
Computer networking
Electrical Engineering
AI
Python

Full job description

In most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
4 years of experience in any one of the following areas: architecture and micro-architecture design of graphics, Machine Learning (ML), or managing low-precision or mixed-precision numerics, vector processors, DSP processors, or architecting networking ASICs.
Experience in memory hierarchy, memory controllers, HBM, and DRAM technologies.

Preferred qualifications:

Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
Experience working with software teams optimizing the hardware/software interface.
Experience in estimating performance by analysis, modeling, and network simulation in defining and driving performance test plans.
Experience in programming languages (e.g., C++, Python).
Knowledge of arithmetic units, bus architectures, accelerators or memory hierarchies and high performance and low power design techniques.

About the job

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.

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

Develop architecture specifications that meet current and future computing requirements for AI/ML roadmap. Develop architectural and microarchitectural power/performance models, microarchitecture and evaluate quantitative and qualitative performance and power analysis.
Partner with hardware design, software, compiler, Machine Learning (ML) model and research teams for effective hardware/software co-design, creating high performance hardware/software interfaces. Evaluate different silicon solutions for executing Google’s data center Artificial Intelligence (AI) accelerator roadmap, components, vendor co-developments, custom designs and chiplets.
Create high performance hardware/software interfaces.
Collaborate with software, verification, emulation, physical design, packaging and silicon validation stakeholders to ensure designs are complete, correct and performant.
Own microarchitecture of compute blocks and subsystems. Identify and drive power, performance and area improvements for the modules owned. Develop and contribute to the simulations tools.

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.

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graphics developer jobs in bengaluru karnataka

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