Applied Machine Learning Engineer, AI for VLSI Design - New College Grad 2026
Nvidia
Tailor my CV for this job, freeView job and applyYour CV rewritten for this role, from your real experience. Sign in with Google, nothing to install.
Got this interview? Our apps help you get the job.
Skills named in this job
Read from the description itself, not inferred.
This role on the market
1,483 open learning roles across 349 companies are on ApplySarthi right now, most of them in Bengaluru (53), Hyderabad (31), Delhi NCR (9).
- Content Reviewer - Corporate LearningJobgether
- Artificial Intelligence & Machine Learning, AVPStatestreet
- Senior Director - Machine Learning EngineeringCapitalone · bengaluru
- Lead Consultant- Machine Learning PlatformAllstate
- Lead Learning & Development PartnerFocused
What learning roles keep asking for: Machine learning (63%), Python (53%), PyTorch (37%), LLMs (30%), Deep learning (27%), AWS (21%), C++ (19%), Generative AI (18%) — counted across their open postings here.
C++ jobs · Machine learning jobs · Python jobs
Nvidia has 3,820 open roles listed here.
- Software Developer - Networking
- Manager, Silicon Circuit and Power Integrity - Silicon Co-Design Group
- Senior Physical Design Methodology Engineerbengaluru
- Electro Optics Student
- Manager, Software Verification
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for learning roles keep coming back to Machine learning, Python, PyTorch, LLMs. Practise those questions before you sit with Nvidia.
Questions you are likely to be asked
- Why do you want to join Nvidia?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Applied Machine Learning Engineer, AI for VLSI Design - New College Grad 2026 at Nvidia interview free →NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Our team builds AI-driven software systems for Circuit Design: combining automation algorithms, DL models and agentic workflows to accelerate end-to-end design automation. Come join this integral team in our Circuit Solutions Group! What you'll be doing: Work within a multi-functional team on various projects involving Pre-silicon and Post Silicon custom circuit design and related data, Circuit/Layout Optimization and Spice correlation. Research and implement techniques on frontier solutions of electronic design automation. Build and innovate agentic AI solution for VLSI design problem. Responsible for analyzing the problem or datasets, raise and validate hypotheses, design and build models and algorithm until they reach the desired QOR. What we need to see: MS or PhD in Electrical/Computer Engineering degree (or equivalent experience). Experience in the following fields is a strict requirement for this role: Combinatorial Optimization, Agentic AI and large language models, Machine Learning for Chip Design & EDA Background in Algorithms/Data Structures. Experience in Applied Math/Machine Learning/Software programming with shown ability in writing code in Python, C++. Ways to stand out from the crowd: Prior background in large-scale EDA software development is a plus. Prior experience in CMOS layout drawing, including schematic-to-layout translation and DRC/LVS compliance, is a definite plus. Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales and marketing teams). Effective verbal/written communication, and technical presentation skills. NVIDIA is a pioneer in bringing groundbreaking technology to new markets. We have some of the most forward-thinking and hardworking people in the world working with us. If you're creative and autonomous, we want to hear from you! #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 184,000 USD for Level 2, and 152,000 USD - 230,000 USD for Level 3. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Match this job to your CV
ApplySarthi scores your CV against this role, shows the skills you are missing, and writes a tailored version for the application.
Check my match →Similar open roles
- Head of Startups - India and South AsiaNvidia · bengaluru
- Manager, AI/HPC Infrastructure Technical Delivery — IndiaNvidia · pune
- Architect – AI-Powered Performance Verification AutomationNvidia · bengaluru
- Data Center Infrastructure SpecialistNvidia · bengaluru
- Senior Developer Relations ManagerNvidia · bengaluru
- Server Performance Architect - HardwareNvidia · bengaluru
- Senior Solutions Architect, Infiniband and Networking Ethernet - NVISNvidia · bengaluru
- Senior Software Engineer, Fabric Networking - GPUNvidia · bengaluru
Need answers during your interview? Try Live Sarthi.
Live Sarthi, an Interview Sarthi app, shows answer suggestions during the call.
- Hidden from supported screen sharingThe overlay stays out of supported Windows screen captures.
- Answers start in about 1.5 secondsResponse time varies with your connection and model.
- From your own CVYour projects and your experience, not a generic script.
- 30 minutes freeThen ₹149 for a 2-day pass with unlimited calls — you pay for the days you are interviewing, not a subscription.
A Windows app, from the same team as ApplySarthi.
Listed on workday · posted 2026-10-30. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.