📋 Job Details at a Glance 📍 Location Hyderabad, Telangana, India 🏢 Company Google 👥 Experience 2+ years 🎓 Qualification Bachelor's degree in Computer Science or related technical field 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹32.0 – ₹48.0 LPA 🏢 Industry Technology 🛠 Key Skills Python ML infrastructure engineering Generative AI frameworks model serving optimization engines vLLM MaxText MaxDiffusion profiling complex distributed workloads GPUs Software Engineer III, AI/ML at Google — Full Details & How to Apply Google is seeking a Software Engineer III, AI/ML in Hyderabad, Telangana, India , where you'll work on optimizing Generative AI frameworks that impact millions globally. This role offers a unique chance to be at the forefront of AI/ML technology, contributing to projects that enhance Google Cloud's capabilities. The demand for AI/ML expertise is surging, and this specific Software Engineer III, AI/ML role is crucial as Google continues to lead in cloud infrastructure. With the rapid evolution of AI technologies, professionals in this field are becoming indispensable, and Google is strategically positioned to leverage this trend, making this role vital for both personal and professional growth. What makes Google stand out for this role is its commitment to innovation and its extensive portfolio of products, including Google Cloud and TensorFlow. Founded in 1998 , Google employs over 156,500 people globally, fostering a culture of creativity and collaboration that empowers employees to push the boundaries of technology. We encourage 2023, 2024, 2025, 2026 graduates with a Bachelor's degree in Computer Science or related technical field and 2+ years experience to apply. The salary for this position ranges from ₹32.0 – ₹48.0 LPA , making it an attractive opportunity for emerging tech talent in the industry. In this role, you'll gain hands-on experience with advanced tools like Python , ML infrastructure engineering , vLLM , and MaxDiffusion . This exposure not only enhances your technical skill set but also opens doors to advanced career opportunities in AI/ML, positioning you for rapid advancement in a field that is continuously evolving. 📊 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 Software Engineer III, AI/ML role at Google is to enhance machine learning infrastructure, ensuring efficient model serving and deployment of advanced AI solutions. Develop and optimize ML infrastructure using Python to enhance model serving capabilities, ensuring high performance and scalability. Implement and manage Generative AI frameworks like vLLM and MaxDiffusion for scalable deployments, facilitating advanced AI applications. Collaborate with cross-functional teams, including Data Scientists and Product Managers , to align on project goals and deliver impactful AI solutions. Analyze performance metrics to identify bottlenecks in complex distributed workloads across GPUs and TPUs , optimizing system efficiency. Take ownership of troubleshooting production system issues, ensuring seamless operation and minimal downtime for AI services. Document technical processes and communicate findings to stakeholders effectively, enhancing transparency and knowledge sharing. Engage with clients to understand their needs and provide tailored AI solutions , driving customer satisfaction and project success. This role fosters an ownership culture, empowering you to make a direct impact on the performance and reliability of AI systems at Google . Required Skills & Technical Competencies The ideal candidate for the Software Engineer III, AI/ML position must possess a robust skill profile that includes both technical and soft skills tailored to AI development. Technical Skills Python — advanced — essential for developing scalable AI solutions and optimizing performance in machine learning applications. ML infrastructure engineering — advanced — critical for optimizing model performance within Google Cloud 's ecosystem. Model serving technologies — intermediate — used daily to deploy and manage AI models efficiently in production environments. vLLM — intermediate — necessary for working on advanced AI frameworks to enhance model scalability. MaxDiffusion — intermediate — utilized for implementing cutting-edge generative AI solutions. Profiling complex distributed workloads — advanced — vital for analyzing performance across GPUs and TPUs . Soft Skills & Professional Competencies Strong problem-solving skills — vital for addressing complex technical challenges in real-time. Effective communication — essential for documenting processes and conveying technical findings to non-technical stakeholders. Collaboration — necessary for working with diverse teams to achieve project objectives. Client engagement — important for understanding client needs and delivering tailored AI solutions. Good to Have (Bonus Skills) Experience with cloud platforms — unlocks opportunities for cloud-based AI solutions. Knowledge of distributed systems — enhances capability to work on large-scale AI applications. Familiarity with containerization tools like Docker — beneficial for deploying applications in cloud environments. When showcasing these skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact in AI/ML development. Eligibility Criteria This role is designed for candidates who meet specific educational and experiential requirements, ensuring a strong foundation in software development and AI/ML. A Bachelor's degree in Computer Science or a related field is required, providing foundational knowledge for this role. Eligible batches include 2023 to 2026 , allowing recent graduates to apply for this role. Candidates should have at least 2 years of experience in software development, with a focus on AI/ML . A minimum CGPA of 7.0 is preferred to ensure a strong academic background. Having a portfolio or GitHub showcasing relevant projects can significantly enhance your application. Documentation & Portfolio Requirements Ensure your resume is formatted clearly and includes relevant projects, skills, and experiences that align with the Software Engineer III, AI/ML role. Pro tip: Highlight specific projects where you utilized Python and ML infrastructure engineering to solve real-world problems in your application. Salary for Software Engineer III, AI/ML at Google 💰 Compensation ₹32.0 – ₹48.0 LPA The advertised compensation for the Software Engineer III, AI/ML role at Google is ₹32.0 – ₹48.0 LPA . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Selection Process at Google The selection process for the Software Engineer III, AI/ML role at Google is designed to identify candidates who excel in technical skills and cultural fit. 1 Online Coding Assessment — 60 minutes, testing Python and algorithmic skills. 2 Technical Interview — in-depth discussion on ML concepts, model optimization, and system design. 3 Behavioral Interview — assessing cultural fit and problem-solving approaches. 4 HR Interview — discussing salary expectations and offer timeline. Topic-wise Preparation Guide Round 1: Online Coding Assessment Data Structures — essential for efficient algorithm design relevant to this role — LeetCode Algorithms — focus on sorting and searching algorithms applicable in AI/ML — GeeksForGeeks Python Programming — proficiency in syntax and libraries used in AI development — W3Schools Basic ML Concepts — understanding of supervised and unsupervised learning — Coursera Round 2: Technical Interview Generative AI Frameworks — in-depth knowledge of vLLM and MaxDiffusion — YouTube Model Optimization Techniques — practical applications in real-world scenarios — Udemy Distributed Systems — understanding of architecture and performance metrics — NPTEL Profiling Workloads — techniques for analyzing and improving system performance — GeeksForGeeks Troubleshooting Production Issues — strategies for identifying and resolving bottlenecks — HackerRank Round 3: Behavioral Interview Behavioral Questions — using the STAR method, focus on teamwork and leadership experiences. Problem-Solving Scenarios — real-world challenges faced in AI/ML projects. Technical Deep-Dive on a Project — discuss your role and contributions in detail. Timeline & Expectations The typical timeline from application to offer can range from 4 to 6 weeks , depending on the number of candidates and scheduling. Prepare thoroughly for each round, focusing on both technical skills and cultural fit to align with Google 's values. Expected Interview Questions for Software Engineer III, AI/ML at Google These questions are based on the role's actual tech stack and responsibilities. Technical Questions Explain how you would optimize a machine learning model for deployment. What are the advantages of using vLLM over traditional model serving techniques? Describe your experience with profiling complex distributed workloads. How do GPUs and TPUs differ in terms of performance for AI applications? What challenges have you faced while working with Generative AI frameworks? Can you discuss a project where you implemented an optimization engine? Behavioral Questions Describe a time when you faced a significant challenge in a project. How do you handle feedback and criticism in a team setting? Give an example of a successful collaboration with cross-functional teams. What motivates you to work in the AI/ML field? Role-Specific Questions What strategies would you use to troubleshoot a production bottleneck? How do you prioritize tasks when working on multiple AI projects? Discuss your approach to documenting technical processes. Structure your answers using the STAR method to clearly articulate your experiences and problem-solving skills. Resume Tailoring & ATS Keywords for Software Engineer III, AI/ML Optimizing your resume for ATS is crucial for ensuring it gets noticed for this role. ATS Keywords to Include Software Engineer III AI/ML Python ML infrastructure Generative AI model serving vLLM MaxText MaxDiffusion distributed workloads GPUs TPUs Resume Tips for This Role Highlight your experience with Python and AI/ML projects relevant to the job description. Emphasize collaborative projects that demonstrate teamwork and problem-solving skills. Include links to your portfolio or GitHub showcasing relevant work. Optimize your resume for ATS by using keywords from the job description. Avoid including unrelated work experience that does not pertain to the role. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Do not include generic skills or unrelated job experiences that do not align with the role's requirements. About Google Founded in 1998 by Larry Page and Sergey Brin in a garage in Menlo Park, California, Google has expanded to become a global leader in technology with a presence in over 50 countries . The company’s headquarters is located in Mountain View, California , where it employs thousands of professionals dedicated to innovation. Google's core products include Google Search , YouTube , and Google Cloud , which has captured a significant share of the cloud computing market. The company also invests heavily in AI technologies, including TensorFlow and Google AI , enhancing its offerings across various sectors. Google's company culture is characterized by a strong emphasis on innovation and collaboration. The company has received numerous accolades, including a Glassdoor rating of 4.4/5 and recognition as one of the best places to work in 2022. Employee programs like Google's Career Certificates provide opportunities for professional growth. Recently, Google announced a substantial investment of $1 billion in AI research, further solidifying its leadership in the AI/ML space. This initiative aims to enhance its existing products and develop new technologies that leverage machine learning and artificial intelligence. For freshers in technology, Google offers unparalleled access to cutting-edge technology and mentorship from industry leaders. The company’s commitment to innovation and professional development makes it an ideal launchpad for a successful career in tech. Why Join Google as Software Engineer III, AI/ML? Joining Google as a Software Engineer III, AI/ML provides a unique opportunity to work on groundbreaking technologies that shape the future of artificial intelligence. Hands-on Experience — Gain practical skills with Generative AI frameworks like MaxText and MaxDiffusion , essential for developing next-generation AI applications. Collaboration with Experts — Work alongside top engineers in the field, enhancing your expertise in ML infrastructure engineering and model optimization. Career Advancement — After 1-2 years, transition into roles such as AI/ML Architect or Product Manager within Google , paving the way for long-term career growth. Innovative Culture — Contribute to high-impact projects in a collaborative environment that encourages creativity and innovation. Vibrant Lifestyle — Experience living in Hyderabad , which offers a lower cost of living compared to other tech hubs, along with flexible work arrangements. According to NexisGrow.com, the role of Software Engineer III, AI/ML at Google is a strategic career move, providing access to cutting-edge technology and a robust professional network. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Software Engineer III, AI/ML at Google? Eligibility Tap to expand + Answer Candidates with Bachelor's degree in Computer Science or related technical field and 2+ years experience are eligible. Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Python, ML infrastructure engineering, Generative AI frameworks, model serving, optimization engines. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹32.0 – ₹48.0 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Google? 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: Python, ML infrastructure engineering, Generative AI frameworks, model serving, optimization engines. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Software Engineer III, AI/ML interview? Preparation Tap to expand + Answer (1) Core concepts of Python, ML infrastructure engineering, Generative AI frameworks, model serving, optimization engines, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Google research, (5) Clear communication. ? What is the work culture like at Google? 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 Hyderabad Browse all Tech jobs Latest Fresher jobs More jobs at Google Work From Home jobs Ready to Apply? 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