Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted today

Senior Software Engineer, AI Infrastructure Solutions

NVIDIA2,736 open roles

Where
India, Pune
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSenior Software Engineer, AI Infrastructure SolutionsNVIDIA · India, Pune

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on NVIDIA's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.4% of postings close within 7 days. Measured by our own scanner across the market. NVIDIA postings stay open a median of 51 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.6%3 days
  3. 13.4%7 days
  4. 21.6%14 days
  5. 36.2%30 days
  6. 59.0%60 days
This job: posted today

NVIDIA median: 51 days open

The posting

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. NVIDIA is seeking an outstanding Senior Software Engineer to join our AI Infrastructure Solutions team in Pune. This is your opportunity to work on groundbreaking technologies and help build the future of computing! NVIDIA is a global leader in innovation, offering a dynamic and inclusive work environment in Pune or equivalent experience. We value diversity and provide equal opportunities to all candidates. If you’re passionate about building scalable AI platforms and autonomous agent solutions that impact industries worldwide, we want to hear from you!

What You’ll Be Doing:

  • Design, build, and operate AI infrastructure solutions that power LLM-based applications and autonomous agents across the enterprise.
  • Develop agentic AI workflows and multi-agent systems, including tool calling, planning, memory, retrieval-augmented generation (RAG), and orchestration using frameworks such as LangChain, LangGraph, or similar.
  • Integrate and serve LLMs through APIs and inference endpoints, optimizing for latency, throughput, cost, and reliability.
  • Containerize applications with Docker and deploy and scale them on Kubernetes, including Helm charts, autoscaling, and GPU-enabled workloads.
  • Take applications to L3 level: own production readiness, advanced troubleshooting, root-cause analysis, performance tuning, and escalation support for complex issues beyond L1/L2.
  • Define and maintain observability for AI systems, including logging, metrics, tracing, and monitoring of agent behavior, LLM quality, and system health.
  • Build and maintain CI/CD pipelines for automated build, test, and deployment of AI applications and infrastructure.
  • Develop high-performance backend services and RESTful APIs (Python and/or .NET Core) that expose AI capabilities to internal applications.

What We Need to See:

  • Bachelor’s or equivalent experience in Computer Science, Engineering, or a related field.
  • 5+ years of software engineering experience, with 2+ years working on AI/LLM-based solutions.
  • Hands-on experience building agentic AI and autonomous agent systems, including tool use, multi-agent orchestration, and RAG pipelines.
  • Strong experience with LLMs and their integration (OpenAI-compatible APIs, NVIDIA NIM, Hugging Face, or similar), prompt engineering, and evaluation.
  • Strong proficiency in Python; experience with C#/.NET Core and ASP.NET Core for REST API development is a plus.
  • Solid experience with Docker and Kubernetes, including deploying, scaling, and troubleshooting containerized workloads in production.
  • Proven experience supporting applications at L3 level, including incident management, debugging, performance optimization, and root-cause analysis.
  • Experience with CI/CD tools (GitHub Actions, Azure DevOps, GitLab CI, Jenkins) and Git-based workflows.

Ways to Stand Out from the Crowd:

  • Experience with GPU-accelerated workloads, NVIDIA AI Enterprise, NVIDIA NIM, Triton Inference Server, or NeMo.
  • Familiarity with MCP (Model Context Protocol) and agent-to-agent communication patterns.
  • Experience with LLM evaluation, guardrails, and safety frameworks.
  • Contributions to open-source AI or infrastructure projects.

NVIDIA delivers competitive pay, a wide range of benefits, and the possibility to contribute to groundbreaking technologies. Join us in building the future of computing! Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against NVIDIA's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on NVIDIA's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    NVIDIA's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.