📋 Job Details at a Glance 📍 Location Bengaluru, India 🏢 Company NVIDIA 👥 Experience 0-2 years 🎓 Qualification Currently pursuing a full-time PhD in AI, wireless communications or a related field 📅 Eligible Batch 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary ₹60,000–₹1,00,000 per month 🏢 Industry Technology 🛠 Key Skills Artificial intelligence machine learning wireless L1/L2 signal processing RAN Transformers CNNs model training performance optimisation algorithm development PhD Intern – AI/ML in Wireless L1/L2 at NVIDIA — Full Details & How to Apply NVIDIA is seeking a PhD Intern – AI/ML in Wireless L1/L2 in Bengaluru, India , where you'll develop cutting-edge AI modules for wireless signal processing. This role offers a unique opportunity to work on advanced technologies that enhance wireless communication performance, impacting millions of users relying on efficient network connectivity. The demand for AI/ML in wireless communications is surging, with companies like NVIDIA leading innovations in RAN technologies. As the industry evolves, the need for skilled professionals in this domain is critical, making this internship a pivotal stepping stone for aspiring candidates. Engaging in this role means being at the forefront of technological advancements that shape the future of connectivity. What makes NVIDIA notable for this role is its global reputation for pioneering GPU technology, essential for AI and machine learning. Founded in 1993 , NVIDIA boasts over 20,000 employees worldwide, fostering a culture of innovation and collaboration. This environment not only supports your growth but also positions you within a company that is consistently recognized for its contributions to the tech industry. We encourage 2022, 2023, 2024, 2025 graduates who are currently pursuing a full-time PhD in AI, wireless communications or a related field to apply. Candidates with 0-2 years experience will find this role particularly suitable. The internship offers a competitive salary ranging from ₹60,000–₹1,00,000 per month , making it an attractive option for fresh talent in the tech sector. In this role, you will gain hands-on experience with essential skills such as Artificial Intelligence , Machine Learning , Wireless L1/L2 , Signal Processing , and Algorithm Development . Exposure to advanced techniques like Transformers and CNNs will set you apart from your peers, opening doors to various career paths in the tech industry, including roles in research and development, data science, and beyond. 📊 Role Difficulty: Medium | Competition Level: High | Fresher Friendly: Yes 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. Job Role & Responsibilities The core mission of the PhD Intern – AI/ML in Wireless L1/L2 at NVIDIA is to advance wireless communication technologies through innovative AI and ML solutions, enhancing performance and efficiency in real-time applications. Develop AI/ML modules for wireless signal-processing functions using Python and MATLAB , ensuring robust performance in real-time environments. Research existing AI/ML approaches for radio-access networks ( RAN ) to identify opportunities for performance enhancement and optimization. Collaborate with hardware engineers and software developers to integrate AI solutions, leveraging signal processing techniques for improved system functionality. Benchmark over-the-air performance metrics to evaluate model efficiency and accuracy, utilizing performance optimization strategies. Take ownership of model training and testing, aligning with project goals and timelines to ensure successful outcomes. Document research findings and model performance metrics for internal reporting, facilitating knowledge sharing within NVIDIA . Solve complex problems related to wireless signal processing, providing innovative solutions that enhance overall system performance. This role fosters an ownership culture, allowing interns to make direct impacts on projects and contribute to the advancement of wireless communication technologies. Required Skills & Technical Competencies The ideal candidate for the PhD Intern – AI/ML in Wireless L1/L2 role must possess a robust technical skill set in AI, ML, and wireless communications. Technical Skills Artificial Intelligence — advanced — essential for developing intelligent algorithms that improve wireless communication efficiency. Machine Learning — intermediate — practical application in optimizing RAN functions for real-time data processing. Signal Processing — advanced — used daily to enhance the quality of wireless signals, ensuring reliable communication. Programming in Python — advanced — foundational for developing and implementing algorithms in this role. Programming in C++ — intermediate — necessary for algorithm development and performance optimization tasks. CUDA — intermediate — required for leveraging GPU capabilities in model training and performance optimization. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact in relevant areas. Eligibility Criteria This role is designed for candidates pursuing a full-time PhD in AI, wireless communications, or related fields, ensuring a strong academic foundation. Candidates must be currently pursuing a full-time PhD in AI, wireless communications, or a related field. Eligible batches include 2022 , 2023 , 2024 , and 2025 , allowing freshers to apply. Research experience in AI and wireless domains is preferred, with a minimum six-month availability for the internship. A strong academic performance with a CGPA of 7.5 or higher is expected. Having a portfolio or GitHub showcasing relevant projects can provide a competitive edge in the application process. Documentation & Portfolio Requirements Ensure your resume is formatted clearly, including your academic background, relevant projects, and technical skills. Highlight your experience in AI and wireless communications. Pro tip: Tailor your application to emphasize specific projects that align with NVIDIA 's focus on AI/ML in wireless communications. Salary for PhD Intern – AI/ML in Wireless L1/L2 at NVIDIA 💰 Compensation ₹60,000–₹1,00,000 per month The advertised compensation for the PhD Intern – AI/ML in Wireless L1/L2 role at NVIDIA is ₹60,000–₹1,00,000 per month . 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 PhD Intern – AI/ML in Wireless L1/L2 Upskilling with the right resources significantly enhances your chances of selection for this specialized role in AI and wireless communications. Recommended Courses & Resources Artificial intelligence — Essential for understanding AI concepts relevant to the role. machine learning — Critical for developing algorithms and models in AI/ML. Python — A key programming language for AI/ML applications. C++ — Important for performance optimization in algorithm development. KodNest — Provides hands-on experience with coding challenges relevant to the role. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor your resume — Highlight relevant skills and experiences specific to AI/ML in wireless communications. ❌ Neglecting to showcase research projects — Include publications that demonstrate your expertise in the field. ❌ Using generic language in your application — Provide specific examples of your work and achievements. ❌ Overlooking important technical skills — Emphasize Python and C++ that are critical for this role. ❌ Not preparing for technical interviews — Practice coding and problem-solving related to AI/ML. ❌ Ignoring the application deadline — Follow application instructions carefully. Before You Apply — Checklist ✅ Review the job description thoroughly to understand the role and required skills. ✅ Update your resume to reflect relevant experiences and skills tailored to the internship. ✅ Prepare a cover letter that articulates your interest in the role and your qualifications. ✅ Gather any supporting documents, such as transcripts or portfolios, to include in your application. ✅ Submit your application through the provided link, ensuring all fields are completed accurately. ✅ Follow up on your application status after a week to express continued interest. ✅ Prepare for potential interviews by practicing common technical and behavioral questions. ✅ Network with current or former NVIDIA employees to gain insights into the company culture. Resume Tailoring & ATS Keywords for PhD Intern – AI/ML in Wireless L1/L2 Optimizing your resume for ATS is crucial to ensure it gets noticed for this highly specialized role. ATS Keywords to Include AI Machine Learning Wireless L1/L2 Signal Processing RAN Transformers CNNs Model Training Performance Optimisation Algorithm Development Python C++ Resume Tips for This Role Highlight your research experience in AI and wireless communications, showcasing relevant projects. Emphasize technical skills like Python and C++ that are directly applicable to the role. Include any projects or portfolios that demonstrate your expertise in AI/ML and signal processing. Optimize your resume for ATS by using keywords from the job description to increase visibility. Avoid including unrelated work experience or generic skills that do not align with the role's requirements. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including generic skills or experiences that do not directly relate to AI/ML in wireless communications. How to Apply for PhD Intern – AI/ML in Wireless L1/L2 at NVIDIA Apply Now — NVIDIA Visit the application portal using the provided link. Upload your resume, ensuring it highlights relevant skills and experiences. Fill out the application form accurately, providing all required information. After submission, expect a confirmation email regarding your application status. Track your application status through the portal 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 was founded in 1993 and is headquartered in Santa Clara, California . With a global workforce of over 22,000 employees , the company has established a significant presence in Bengaluru, India . This strategic location enhances its ability to innovate in the fields of artificial intelligence and deep learning , contributing to its expansive global footprint. NVIDIA is widely recognized for its GPUs , which are integral to various applications, including gaming , automotive , and data centers . The company also offers platforms such as NVIDIA AI and NVIDIA Deep Learning SDK , which empower developers to create advanced AI solutions. These products are pivotal in driving innovation across multiple sectors. The culture at NVIDIA emphasizes innovation and collaboration, earning it a spot on Glassdoor's 'Best Places to Work' list. Employee programs focus on continuous learning and development, fostering an environment where creativity thrives. The company actively promotes diversity and inclusion, ensuring a workplace that values varied perspectives. Recently, NVIDIA announced significant advancements in AI-driven technologies , particularly in the realm of wireless communication . This initiative aims to enhance the performance of RAN systems and has expanded its market reach, showcasing the company's commitment to leading technological advancements in the industry. For freshers in technology, NVIDIA serves as a robust career launchpad, offering mentorship programs and hands-on experience with cutting-edge technologies. Interns gain exposure to real-world applications of machine learning and signal processing , preparing them for successful careers in the tech industry. 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 PhD Intern – AI/ML in Wireless L1/L2 at NVIDIA? Eligibility Tap to expand + Answer Candidates with Currently pursuing a full-time PhD in AI, wireless communications or a related field and 0-2 years experience are eligible. Eligible batches: 2022, 2023, 2024, 2025. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Artificial intelligence, machine learning, wireless L1/L2, signal processing, RAN. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹60,000–₹1,00,000 per month. Final offer depends on skills, experience, and interview performance. ? What is the interview process at NVIDIA? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Artificial intelligence, machine learning, wireless L1/L2, signal processing, RAN. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the PhD Intern – AI/ML in Wireless L1/L2 interview? Preparation Tap to expand + Answer (1) Core concepts of Artificial intelligence, machine learning, wireless L1/L2, signal processing, RAN, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) NVIDIA research, (5) Clear communication. ? What is the work culture like at NVIDIA? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Bengaluru Browse all Tech jobs More jobs at NVIDIA Work From Home jobs Ready to Apply? Don't Miss This Opportunity! 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