📋 Job Details at a Glance 📍 Location Bangalore, India 🏢 Company Intel 👥 Experience 4+ years 🎓 Qualification 4+ years. Hands-on with Python. Relevant technical / engineering background 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python RTL Logic Design GPU Compute Display Media Blocks Power Optimization GPU Logic Design Engineer at Intel — Full Details & How to Apply Intel is seeking a GPU Logic Design Engineer in Bangalore, India , with a specific requirement of 4+ years of hands-on experience with Python and direct involvement in RTL coding for GPU blocks. This role is part of Intel 's Graphics IP team, which develops world-class graphics and compute solutions for integrated, discrete, and data center AI products. This GPU Logic Design Engineer role focuses on developing and optimizing RTL coding for GPU blocks to meet defined goals in power, performance, area, and timing. The engineer will work directly on logic design tasks for GPU components such as compute units, display blocks, and media blocks , ensuring that the resulting designs deliver high-performance capabilities under strict physical and operational constraints. The responsibilities emphasize technical precision and real-time optimization of logic designs using tools and methodologies aligned with Intel ’s design standards. Intel 's Graphics IP team is dedicated to delivering graphics and compute solutions for integrated, discrete, and data center AI products. The GPU Logic Design Engineer will contribute to the design and optimization of cutting-edge GPU blocks within this team. The role is part of Intel 's structured engineering pipeline and is aligned with the company’s technical roadmap for graphics and compute technologies. 2023, 2024, 2025, 2026 graduates are eligible. Candidates must have 4+ years. Hands-on with Python. Relevant technical / engineering background and 4+ years experience . The role requires a strong foundation in engineering and technical design. Salary is not disclosed. Candidates will gain hands-on experience with Python , RTL , Logic Design , GPU , Compute , Display , Media Blocks , and Power Optimization . This experience builds a strong foundation for advancing into senior design roles in semiconductor and graphics engineering. Progression pathways include leadership in IP design and cross-functional technical roles within Intel ’s hardware development teams. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: No NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Search for GPU Logic Design Engineer jobs , explore Intel recruitment opportunities, and find Bangalore, India jobs in the technology sector. Apply online to secure your position in a high-impact engineering role. Job Role & Responsibilities The GPU Logic Design Engineer at Intel develops and optimizes RTL code for compute , display , and media blocks in graphics IP, ensuring power , performance , and area targets are met through precise logic design and Python -driven automation. This role directly impacts GPU functionality and end-user experience via hardware-level implementation. Develop RTL code for GPU compute blocks using Verilog or SystemVerilog, adhering to timing and power constraints defined in design specifications. Optimize logic design for power and performance using Python scripts that analyze telemetry data from silicon prototypes. Create RTL implementations for display blocks, ensuring pixel throughput and latency meet timing goals from validation benchmarks. Collaborate with Graphics IP engineers to integrate media blocks into GPU architectures, aligning with block-level interface specifications. Analyze performance metrics from power and timing reports to identify bottlenecks in compute and display pipelines. Refactor existing RTL codebases to improve area efficiency and timing closure, using Python scripts for automated regression testing. Document design decisions, power optimization techniques, and logic flow improvements in structured technical records for team review. Diagnose and resolve logic errors in GPU blocks using simulation logs and post-silicon telemetry data to ensure reliability. This role demands full ownership of RTL implementation, power optimization, and design validation, with direct impact on GPU performance and end-user experience in real-world applications. Required Skills & Technical Competencies The GPU Logic Design Engineer must possess a strong foundation in Python , RTL , and logic design , with direct application to GPU , compute , display , and media blocks in hardware development. These skills are essential for implementing, optimizing, and validating high-performance graphics IP. Technical Skills Python — advanced — used to automate RTL verification, generate power analysis reports, and execute performance regression tests. RTL — advanced — applied to write and verify register transfer level code for compute and display blocks in Verilog or SystemVerilog . Logic Design — intermediate to advanced — used to design and validate GPU blocks with defined timing , area , and power constraints. GPU — advanced — applied in the development of graphics IP modules, including compute pipelines and display controllers. Compute — intermediate — used to implement parallel processing units for GPU compute blocks with defined throughput and latency targets. Display — intermediate — used to design pixel and frame buffer logic with timing and bandwidth constraints. Media Blocks — intermediate — applied to implement video and image processing units with data path and power efficiency goals. When preparing your resume, emphasize Python scripts for RTL analysis, RTL code examples in Verilog , and performance metrics from actual simulation or telemetry data. Eligibility Criteria This role is designed for candidates with a technical or engineering background and at least 4 years of hands-on experience in RTL or logic design , specifically in GPU or compute domains. It is not suitable for freshers or those without prior project experience. Must hold a degree in Electrical Engineering , Computer Engineering , or a related technical discipline. Eligible batches are 2023 , 2024 , 2025 , and 2026 only. Minimum of 4 years of relevant experience in RTL or logic design with GPU or compute applications. Academic performance is not specified, but a strong foundation in digital logic and computer architecture is expected. Must have demonstrated experience through projects , GitHub repositories, or technical reports involving RTL or GPU design. Portfolio must include RTL code, design documentation, and performance analysis for at least one GPU or media block implementation. Documentation & Portfolio Requirements Your resume must include a clear section on RTL projects, with code snippets , design goals , and performance metrics such as power , area , and timing closure. Include GitHub links to verified repositories with Python scripts used for analysis or automation. Pro tip: For this role, prioritize showcasing a GitHub repository with RTL code for a GPU compute or display block, paired with a Python script that analyzes power or timing data — this directly mirrors the core responsibilities and technical workflow of the job. Salary for GPU Logic Design Engineer at Intel 💰 Compensation Not Disclosed The advertised compensation for the GPU Logic Design Engineer role at Intel is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for GPU Logic Design Engineer Upskilling with the right resources significantly improves your chances of selection for the GPU Logic Design Engineer role at Intel . Recommended Courses & Resources Python — Essential for developing algorithms and scripts in GPU logic design . Logic Design — Fundamental knowledge for understanding and creating digital circuits. KodNest — Offers practical experience in GPU and logic design projects. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating experience in Python or RTL — Provide specific examples of your work. ❌ Using a generic resume — Tailor your resume to the specific responsibilities outlined in the job description. ❌ Listing technologies like GPU without details — Detail their application in past projects or roles. ❌ Ignoring the experience requirement of 4+ years — Ensure you meet this essential criterion. ❌ Adding unrelated technologies or unsupported claims — Focus on relevant experiences only. ❌ Failing to verify the official Apply URL — Always check the job details before submission. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that you meet the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to your resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for GPU Logic Design Engineer Optimizing your resume for ATS is crucial for standing out in the selection process for the GPU Logic Design Engineer role. ATS Keywords to Include GPU Logic Design Python RTL Compute Display Media Blocks Power Optimization Performance Timing Design Optimization Resume Tips for This Role Highlight the 4+ years of relevant experience prominently on your resume. Emphasize skills in Python and RTL , as they are critical for the role. Include projects or experiences related to GPU logic design or optimization. Use exact keywords from the job description naturally to align with ATS requirements. Avoid adding unsupported technologies or experiences that cannot be substantiated. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Do not include unrelated experiences or unsupported claims in your resume for this role. How to Apply for GPU Logic Design Engineer at Intel Apply Now — Intel Open the supplied official Apply URL and confirm the job title and company. Prepare a resume aligned with the supplied skills, responsibilities, qualification, and experience requirement. Complete the official application form accurately and avoid unsupported claims. Submit the application and save the confirmation or application reference if the portal provides one. Record the application date and monitor the official company portal or registered email for updates. Applications reviewed on rolling basis — early submission recommended. Apply Now — Intel NexisGrow.com does not charge any fees for job applications. Intel Intel is a technology company based in Bangalore, India. This GPU Logic Design Engineer role is onsite and operates within Intel 's Graphics IP team, focused on graphics and compute solutions for data center AI products. The team develops logic designs for GPU blocks including compute , display , and media functions. They optimize designs for power, performance, area, and timing, ensuring robustness for physical implementation and verification. This role contributes directly to next-generation GPU IP development, supporting Intel ’s mission in high-performance computing solutions. Early-career professionals gain hands-on experience with Python , RTL , and logic design in GPU systems—key tools for advancing graphics and compute technologies. Company Details Industry Technology Location Bangalore, India Connect With Us Careers Apply Now Website 🔗 intel.wd1.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a relevant technical background and 4+ years of experience, specifically from batches 2023 to 2026. ? What technical skills are most important for this role? Skills Tap to expand + Answer Python, RTL, Logic Design, GPU, Compute, Display, and Media Blocks are essential for the role. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display: Not Disclosed. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer Review Python and RTL skills, understand GPU logic design principles, prepare examples of past projects, familiarize with Intel's graphics products, and practice problem-solving related to performance optimization. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is onsite in Bangalore, India. ? What career exposure can this role provide? Growth Tap to expand + Answer Exposure to advanced GPU logic design, collaboration with engineering teams, and hands-on experience with optimization techniques. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight skills in Python, RTL, and Logic Design, along with relevant experience in GPU or graphics IP development. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer The role involves collaboration with engineers in the Graphics IP team, focusing on high-performance computing solutions. ? Can freshers apply for this role? Fresher Tap to expand + Answer No, the role requires 4+ years of experience. 🔗 Explore More on NexisGrow More jobs in Bangalore Browse all Tech jobs Latest Fresher jobs More jobs at Intel Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com