Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.

Job Information

Nvidia System Software Engineer, Conversational AI in Pune, India

NVIDIA's technology is at the heart of the AI revolution, touching people across the planet by powering everything from self-driving cars, robotics, and intelligent assistants. Come join the team and see how you can make a lasting impact on the world! We're looking to grow our company, and build our teams with the smartest people in the world. Join us at the forefront of technological advancement. NVIDIA is looking for a System Software Engineer to develop tools for building powerful, flexible, multi-modal AI agents driven by Large Language Models(LLM) & improve the experience of millions of customers. If you're creative & passionate about solving real world conversational AI problems, come join us.

What you’ll be doing:

  • Build GPU accelerated scalable LLM driven Retrieval Augmented Generation(RAG) workflow and build a scalable microservice based architecture deployable on multi-node, multi-cloud environment

  • Build domain specific agents and workflows and build a framework which can support multi-turn, multi-modal, multi-user conversations with a LLM driven agents.

  • Develop knowledge discovery, and reasoning capabilities including but not limited to disambiguation, clarification, and anticipation for dialogue systems

  • Evaluate and benchmark end to end RAG and conversational AI agent pipelines for accuracy as well as system performance

  • Analyze RAG and conversational AI agent end to end accuracy and limitations and recommend the next course of action & Improvements.

  • Characterize performance and quality metrics across platforms for various AI and system components

  • Collaborate with various teams on new product features and improvements of existing products. Customize and integrate the conversational AI framework with other NVIDIA products

  • Participate in developing and reviewing code, design documents, use case reviews, and test plan reviews and help innovate, identify problems, recommend solutions and perform triage in a collaborative team environment.

What we need to see:

  • Bachelor's degree or Master’s degree (or equivalent experience) in Computer Science, Electrical Engineering, Artificial Intelligence, or Applied Math

  • 5+ years of experience and excellent programming skills in Python

  • Knowledge of Large Language model applications

  • Familiarity with microservices, Docker, helm, kubernetes etc.

  • Experience of working on end to end Software lifecycle, release packaging & CI/CD pipeline

  • Hands-on experience on conversational AI Technologies like Large Language Models, Information Retrieval, Natural Language Processing, Dialogue systems (including system integration, state tracking and action prediction), Question and Answering, etc.

  • Knowledge of vector databases and embedding models

  • General background around version control and code review tools like Git, Gerrit, Gitlab.

  • Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic environment

Ways to stand out from the crowd:

  • Strong fundamentals in Programming, optimizations and Software design

  • Strong knowledge of ML/DL techniques, algorithms and tools with exposure to CNN, RNN (LSTM), Transformers (BERT, GPT, Megatron), Language Models

  • Familiarity with GPU based technologies like CUDA, CuDNN and TensorRT

  • Background with deploying machine learning models on data center, cloud, and embedded systems

NVIDIA is committed to fostering a diverse 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.

NVIDIA is a Learning Machine

NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society.

Learn more about NVIDIA .

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