Senior Cybersecurity AI Solutions Engineer
Nvidia
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This role on the market
384 open cybersecurity roles across 91 companies are on ApplySarthi right now, most of them in Bengaluru (12), Delhi NCR (9), Chennai (7).
- Cybersecurity Engineer for Network Security AIRoche
- Sr. Engineer - Cybersecurity S 4BGenpact · pune
- Senior Specialist Legal Editor (Data Privacy and Cybersecurity)Thomsonreuters
- Senior Associate - Cybersecurity & PrivacyPwc
- Cybersecurity Intern (Summer 2027)Minitab
What cybersecurity roles keep asking for: Azure (24%), IAM (23%), Python (20%), Stakeholder management (20%), AWS (19%), Agile (12%), GCP (12%) — counted across their open postings here.
CI/CD jobs · Docker jobs · Hugging Face jobs · Jenkins 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
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for cybersecurity roles keep coming back to Azure, IAM, Python, Stakeholder management. 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 CI/CD? Tell me one thing you learned the hard way.
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
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Practise the Senior Cybersecurity AI Solutions Engineer at Nvidia interview free →Are you passionate about AI Security and interested in joining a team focused on driving improvement and solving tough challenges? NVIDIA's Networking Cybersecurity Lab located in Yokneam is looking for the next team member - a versatile Cybersecurity AI solutions Engineer. As part of the heart of NVIDIA's commitment to networking product security is Cyberlab. The NVIDIA Networking Cyberlab's primary goal is to ensure NVIDIA network products are secure, architecting and delivering comprehensive security solutions with AI Security partners and fostering homegrown AI security development capabilities. We are seeking a Cybersecurity AI solutions Engineer to be part of the backbone of networking security innovation. In this role as part of your time, you will architecture design, deploy, and execute tests for 3rd-party cybersecurity AI solutions within a virtualized digital twin environment using NVIDIA Data Center Simulators (DSX AIR). Work with data scientist for fine-tuning state-of-the-art AI models - such as NVIDIA Nemotron, and automating complex pipelines. The ideal candidate bridges the gap between virtualization, modern cybersecurity architecture, hands-on AI engineering, and robust DevOps practices. This is an opportunity to work at the intersection of AI development, advanced cybersecurity, collaborating with offensive security researchers to increase the adoption the of products that power the AI revolution. Our new team member is an effective communicator, comfortable collaborate with cyber security architect team, engineers, technical staff, and enjoys working with a diverse, global workforce. What you'll be doing: Cybersecurity AI solutions engineering in digital twin env: architect, design deploy, and evaluate AI Security partners software within virtual environment frameworks. analyse, and test security products under simulated real-world datacentre workloads. AI Model Setup & support Fine-Tuning tasks: AI Infrastructure sizing & setup configure and maintain infrastructure optimized for large language models and security analytics tools. deploy, optimize, and fine-tune NVIDIA Nemotron models for specialized cybersecurity tasks (e.g., threat detection, log analysis, automated response generation). Dataset Management: curate, preprocess, and manage support training -evaluation datasets sourced from simulated data & telemetry Infrastructure & DevOps Automation : CI/CD & pipeline management , build automated testing pipelines to streamline product deployment, validation runs, and benchmarking reports. What we need to see: B.Sc. in Computer Science / Electrical Engineering or equivalent experience At least 5 years of proven experience including hands-on experience deploying and fine-tuning Open/LLM models Familiarity with AI/ML frameworks (PyTorch, NeMo, Hugging Face) and GPU acceleration libraries (CUDA, TensorRT) Experience serving open models with vLLM, Hugging Face Transformers, TGI, llama similar frameworks. Inference libraries like DeepSpeed Experience in a DevOps role - CI/CD Tools: GitLab CI, GitHub , Gerrit or Jenkins Experience in programming and scripting using Python, Bash in Unix/Linux environment Good knowledge of virtualization VMware, KVM/QEMU, Hyper-V (or cloud-based hypervisors) Docker, Kubernetes, Helm Experience in physical and virtual networking (VLANs, subnets, firewalls) & datacentre networking Debugging skills at the OS, kernel, and service levels Excellent documentation, planning, and communication skills, with the ability to collaborate effectively with internal teams NVIDIA is widely considered one of the technology industry's most desirable employers, with highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hardworking people in the world working with us. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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Listed on workday · posted 2026-09-30. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.