📋 Job Details at a Glance 📍 Location Bengaluru, India 🏢 Company NVIDIA 👥 Experience 1+ years 🎓 Qualification 1+ years. Hands-on with Python. Relevant technical / engineering background 📅 Eligible Batch 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills PCIe verification Python programming GPU controller design Parallel computing AI computing System-level validation Verification Engineer, PCIE at NVIDIA — Full Details & How to Apply NVIDIA is seeking a Verification Engineer, PCIE in Bengaluru, India to perform hands-on verification of PCI Express controllers for GPUs. This role requires 1+ years of experience and direct exposure to Python programming and system-level validation , with eligibility for 2024, 2025, and 2026 graduates . This Verification Engineer, PCIE role ensures the design and functionality of next-generation PCI Express controllers, which are critical components in NVIDIA ’s GPU systems. The position involves validating GPU controller designs using Python and parallel computing techniques, directly contributing to product reliability. Candidates will work with PCIe verification frameworks and perform system-level validation to confirm controller behavior under real-world conditions. NVIDIA recruitment for this role emphasizes technical depth in PCIe verification , Python programming , and GPU controller design . The job is part of a technology-focused team that supports AI computing and visual computing systems. The role is based in Bengaluru, India, with a hybrid work mode, and is open to eligible batches from 2024 to 2026. 2024, 2025, 2026 graduates should apply if they have 1+ years. Hands-on with Python. Relevant technical / engineering background and 1+ years experience . The role does not disclose a salary. This position is ideal for candidates with a technical foundation and practical experience in verification environments. Candidates will gain hands-on experience with PCIe verification , Python programming , GPU controller design , parallel computing , and system-level validation . This experience builds a foundation for advancing into senior verification roles or specialized AI hardware engineering positions within the tech industry. 📊 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 Verification Engineer, PCIE jobs , explore NVIDIA recruitment in India, and find Bengaluru, India jobs with direct technical exposure. Job Role & Responsibilities The Verification Engineer, PCIE at NVIDIA is responsible for validating the functional correctness of PCIe controllers in GPU systems, ensuring alignment with system-level validation requirements through automated testing and performance telemetry. Verify the design and implementation of PCIe controllers using test vectors and Python scripts to validate signal integrity and protocol compliance. Develop automated Python validation scripts to execute functional tests on GPU controller interfaces under simulated workloads. Collaborate with hardware and software engineering teams to perform system-level validation of GPU controller integration in full system environments. Conduct real-time performance monitoring and telemetry analysis to evaluate parallel computing and AI computing workloads on PCIe -connected GPUs. Maintain and update the Python -based codebase for PCIe verification tests, ensuring version control and regression coverage. Document detailed testing procedures, test results, and failure root causes to support system-level validation process improvements. Troubleshoot PCIe functionality issues by analyzing telemetry data and implementing Python scripts to reproduce and resolve edge-case behaviors. Validate parallel computing and AI computing performance under PCIe bandwidth constraints using system-level validation benchmarks. This role demands direct ownership of PCIe verification workflows, with measurable impact on GPU controller reliability and system-level validation outcomes across NVIDIA product lines. Required Skills & Technical Competencies Candidates must demonstrate proficiency in PCIe verification , Python programming , and system-level validation to execute end-to-end validation of GPU controller functionality in real-world scenarios. Technical Skills PCIe verification — essential — used to validate protocol compliance and signal integrity of GPU controller implementations in NVIDIA products. Python programming — intermediate — applied to develop and maintain automated test scripts for PCIe controller validation and regression testing. System-level validation — critical — required to ensure seamless integration of GPU controllers within larger AI computing and parallel computing systems. Parallel computing — intermediate — leveraged to understand performance under concurrent workloads on GPU systems connected via PCIe . AI computing — intermediate — used to contextualize PCIe performance in AI inference and training environments with high data throughput needs. When showcasing these skills, emphasize hands-on Python scripts for PCIe validation and real-world system-level validation test cases in your resume and interview responses. Eligibility Criteria This role is designed for candidates with a technical or engineering background , who have hands-on experience with PCIe verification and Python programming , and who are part of the 2024, 2025, or 2026 eligible batches. Must hold a Bachelor’s degree in Computer Engineering , Electrical Engineering , or a related technical field. Must be from the 2024, 2025, or 2026 batch, with a clear academic timeline aligned to the eligibility window. Must have at least 1 year of hands-on experience in Python programming or hardware verification tasks. Minimum CGPA of 6.0 in core engineering subjects, particularly in computer architecture and embedded systems . Must have a technical project portfolio demonstrating Python scripts or system-level validation work related to PCIe or GPU interfaces. Must have completed at least one course or lab on PCIe or GPU controller design as part of academic curriculum. Documentation & Portfolio Requirements Your resume must include a dedicated section with project descriptions , Python code snippets , and test results that demonstrate PCIe verification or system-level validation activities. Focus on including a Python script that validates PCIe signal behavior or performs system-level validation of a GPU controller interface in your portfolio — this is the most critical evidence for selection. Salary for Verification Engineer, PCIE at NVIDIA 💰 Compensation Not Disclosed The advertised compensation for the Verification Engineer, PCIE role at NVIDIA 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 Verification Engineer, PCIE Upskilling with the right resources significantly enhances your chances of selection for the Verification Engineer, PCIE role at NVIDIA . Recommended Courses & Resources PCIe verification — Essential for mastering the verification processes specific to PCIe technology. Python programming — Crucial for developing scripts and tools for verification tasks. KodNest — Provides hands-on experience with projects relevant to GPU and system-level validation . Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating experience in PCIe verification — Ensure to provide specific examples. ❌ Using a generic resume — Tailor it to the specific responsibilities listed in the job description. ❌ Listing Python programming without detail — Detail where it was applied in projects or internships. ❌ Ignoring the experience requirement — Ensure you meet the 1+ years of experience criteria. ❌ Adding unrelated technologies — Avoid increasing keyword density without relevance to the role. ❌ Failing to verify job details — Check the official Apply URL 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 Verification Engineer, PCIE Optimizing your resume for ATS is crucial for standing out in the application process for the Verification Engineer, PCIE role at NVIDIA . ATS Keywords to Include Verification Engineer PCIe verification Python programming GPU controller design Parallel computing AI computing System-level validation Performance monitoring Telemetry analysis Troubleshooting Documentation Collaboration Resume Tips for This Role Highlight your hands-on experience with Python programming prominently on your resume. Emphasize your familiarity with PCIe verification and any relevant projects or coursework. Showcase a project that involved system-level validation or GPU technology. Use exact keywords from the job description to align your resume with ATS requirements. Avoid including unsupported technologies or experiences that you cannot substantiate. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Avoid including unrelated experiences or unsupported technologies in your resume for this role. How to Apply for Verification Engineer, PCIE at NVIDIA Apply Now — NVIDIA 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 — NVIDIA NexisGrow.com does not charge any fees for job applications. NVIDIA NVIDIA is a technology company based in Bengaluru, India , offering a hybrid work mode . The company operates in the technology industry, specializing in GPU design and AI computing . This role supports system-level validation within NVIDIA ’s engineering teams. The team verifies PCIe controllers for next-generation GPUs and SOCs. Responsibilities include PCIe verification , Python programming , and validation of GPU controller design . Work involves collaboration with engineers and stakeholders to ensure robust product implementation. This role contributes to NVIDIA ’s development of AI computing systems and advanced GPUs used in consumer graphics, robotics, and self-driving technologies. It supports the design of systems that simulate human intelligence through parallel computing . This position offers early-career exposure to PCIe verification , Python programming , and AI computing . Fresh graduates gain hands-on experience with real-world tools used in GPU and system-level validation . Company Details Industry Technology Location Bengaluru, India Connect With Us Careers Apply Now Website 🔗 nvidia.wd5.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 at least 1 year of experience, including eligible batches from 2024 to 2026. ? What technical skills are most important for this role? Skills Tap to expand + Answer PCIe verification and Python programming are the most critical skills for this role. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display is 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 1. Review PCIe verification concepts. 2. Brush up on Python programming. 3. Understand GPU architecture. 4. Prepare to discuss system-level validation. 5. Familiarize yourself with NVIDIA's products. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is hybrid, allowing for a mix of remote and onsite work in Bengaluru, India. ? What career exposure can this role provide? Growth Tap to expand + Answer This role provides exposure to PCIe verification, Python programming, and collaboration with engineering teams. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight PCIe verification experience, Python programming skills, and relevant project work. ? 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 and stakeholders in a hybrid work setting. ? Can freshers apply for this role? Fresher Tap to expand + Answer No, as the experience requirement is 1+ years. 🔗 Explore More on NexisGrow More jobs in Bengaluru Browse all Tech jobs Latest Fresher jobs More jobs at NVIDIA 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