📋 Job Details at a Glance 📍 Location Bengaluru, India 🏢 Company NVIDIA 👥 Experience 5+ years 🎓 Qualification 5+ 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 PCIe verification Python programming GPU design SoC verification Parallel computing Deep learning algorithms Senior Verification Engineer, PCIE at NVIDIA — Full Details & How to Apply NVIDIA is seeking a Senior Verification Engineer, PCIE in Bengaluru, India to verify PCI Express controllers for advanced GPUs. This role directly supports the design and implementation of next-generation GPU controllers, with hands-on exposure to GPU design and SoC verification . This Senior Verification Engineer, PCIE role is critical for ensuring that PCI Express controllers meet performance and reliability standards in NVIDIA ’s product lines, including consumer graphics and AI applications. The position involves verifying the design and implementation of PCIe controllers using Python programming and parallel computing techniques, which are foundational to GPU and SoC functionality. The job posting highlights that NVIDIA is seeking candidates with a relevant technical background and over 5 years of experience. The role is part of NVIDIA ’s engineering team focused on verification of high-performance controllers, with responsibilities centered on PCIe verification , Python programming , and GPU design . 2023, 2024, 2025, 2026 graduates are eligible. Candidates must have 5+ years. Hands-on with Python. Relevant technical / engineering background and 5+ years experience . The salary is Not Disclosed . Candidates will gain hands-on experience with PCIe verification , Python programming , GPU design , SoC verification , and parallel computing . This role provides a direct pathway into NVIDIA ’s verification engineering ecosystem, offering exposure to deep learning algorithms and advanced hardware design. It is a progression opportunity for experienced engineers aiming to work in high-performance computing and AI hardware. 📊 Role Difficulty: Medium | Competition Level: High | 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. Senior Verification Engineer, PCIE jobs in Bengaluru, India jobs are available through NVIDIA recruitment . Apply online to access this role in the official job portal. Job Role & Responsibilities The Senior Verification Engineer at NVIDIA is responsible for validating PCIe controller design integrity in GPU systems using Python scripts and SoC verification methodologies. This role ensures PCIe functionality aligns with GPU design specifications through rigorous, measurable testing and performance analysis. Verify the implementation of PCIe controllers using SoC verification frameworks and parallel computing models to ensure signal integrity and throughput under real-world load. Automate test sequences for PCIe functionality using Python scripts to execute regression tests and generate structured telemetry data for performance evaluation. Analyze performance metrics such as bandwidth utilization, latency, and error rates from GPU design telemetry to detect anomalies and validate design compliance. Collaborate with GPU design and SoC verification teams to validate that PCIe controller specifications meet hardware-level performance and reliability targets. Maintain a version-controlled Python verification codebase, ensuring all PCIe test scripts are updated, documented, and compatible with current GPU architecture versions. Document verification workflows, test results, and failure cases in structured formats to support future PCIe and deep learning algorithm integration phases. Troubleshoot PCIe functionality issues in GPU designs by debugging low-level communication protocols and validating parallel computing execution paths. Validate deep learning algorithm performance on GPU platforms by ensuring PCIe data transfer efficiency does not introduce bottlenecks in inference pipelines. This role demands full ownership of PCIe verification processes, directly impacting GPU design performance, Python automation efficiency, and SoC reliability in real-world deployment scenarios. Required Skills & Technical Competencies The role requires a strong technical foundation in PCIe verification , Python programming , and GPU design , with direct application in SoC verification and parallel computing environments. Candidates must demonstrate hands-on experience with these tools and workflows. Technical Skills PCIe verification — advanced — used to validate PCIe controller functionality, including error handling, flow control, and data transfer reliability in GPU systems. Python programming — advanced — used to script automated verification flows, generate test reports, and process telemetry data from GPU designs. GPU design — intermediate — required to understand the architectural context of PCIe interfaces and how they interact with deep learning algorithm execution units. SoC verification — advanced — applied to validate PCIe controller integration within full GPU system-on-chip designs using simulation and formal methods. Parallel computing — advanced — used to model and verify high-throughput PCIe communication paths in multi-core GPU architectures under concurrent load. Deep learning algorithms — intermediate — applied to assess data transfer performance in AI workloads, ensuring PCIe bandwidth supports real-time inference demands. When preparing your resume or interview, emphasize specific Python scripts you wrote for PCIe validation, GPU interface testing, or SoC performance analysis with measurable outcomes. Eligibility Criteria This role is designed for candidates with a technical or engineering background , at least 5 years of hands-on experience, and a proven track record in PCIe verification or GPU design environments. It is not suitable for freshers or those without relevant technical exposure. Must hold a Bachelor’s or Master’s degree in Electrical Engineering , Computer Engineering , or a related technical discipline. Eligible batches are 2023 , 2024 , 2025 , and 2026 only. Minimum of 5 years of professional experience in verification , SoC , or GPU design domains is required. CGPA of 3.0 or above on a 4.0 scale is expected for technical credibility. Must have a technical portfolio demonstrating Python scripts, PCIe test cases, or GPU interface validation work. Must have direct experience with SoC verification or parallel computing in hardware or embedded systems. Documentation & Portfolio Requirements Your resume must include a dedicated section with Python code snippets, PCIe test scripts, and SoC verification reports that demonstrate your technical execution in real-world hardware environments. For this role, prioritize showcasing Python automation scripts used to validate PCIe performance in GPU systems, with clear metrics such as bandwidth, latency, and error rate data. Include a brief description of how your work contributed to design reliability. Salary for Senior Verification Engineer, PCIE at NVIDIA 💰 Compensation Not Disclosed The advertised compensation for the Senior 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 Senior Verification Engineer, PCIE Upskilling with the right resources significantly enhances your chances of being selected for this specialized role. Recommended Courses & Resources PCIe verification — Essential for mastering the core responsibilities of this position. Python programming — Crucial for automating verification processes and enhancing productivity. KodNest — Offers practical insights into GPU design and SoC verification . 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 — Include specific projects or roles that showcase this skill. ❌ Using a generic resume instead of tailoring it — Customize your resume to reflect the specific responsibilities listed in the job description. ❌ Listing technologies like Python without detailing application — Clearly explain how you utilized Python in previous roles or projects. ❌ Ignoring the requirement for over 5 years of experience — Ensure you meet the experience criteria before applying. ❌ Adding unrelated technologies or unsupported claims — Focus on relevant skills to avoid diluting your application. ❌ Not verifying the official Apply URL — Always check the provided link and 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 Senior Verification Engineer, PCIE Optimizing your resume for ATS is crucial for standing out in the application process for this role. ATS Keywords to Include PCIe verification Python programming GPU design SoC verification Parallel computing Deep learning algorithms Verification engineer Design validation Performance analysis Automation Telemetry data Collaboration Resume Tips for This Role Highlight your experience with PCIe verification prominently on your resume. Emphasize your proficiency in Python programming and any relevant projects. Showcase a project that involved GPU design or SoC verification . Use exact keywords from the job description to align your resume with the role requirements. Avoid including unsupported claims or technologies that you cannot substantiate. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Do not include unrelated technologies or unsupported claims in your resume for this role. How to Apply for Senior 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 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 over 5 years of experience, specifically from the 2023 to 2026 batches. ? What technical skills are most important for this role? Skills Tap to expand + Answer PCIe verification, Python programming, GPU design, SoC verification, and parallel computing. ? What is the expected salary for this position? Salary Tap to expand + Answer 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 methodologies. 2. Brush up on Python programming. 3. Understand GPU design principles. 4. Prepare to discuss previous verification projects. 5. Familiarize yourself with NVIDIA's product lines. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is hybrid, allowing for both onsite and remote work. ? What career exposure can this role provide? Growth Tap to expand + Answer Exposure to advanced verification processes and technologies in the GPU and AI industries. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight PCIe verification experience, Python programming skills, relevant projects, and any collaboration with engineering teams. ? 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 Collaboration with engineering teams is emphasized, although specific work environment details are not provided. ? Can freshers apply for this role? Fresher Tap to expand + Answer No, as the role requires over 5 years of experience. 🔗 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