Remote Solutions Architect Generative AI (💰~$70k, US, CA, Santa Clara) at 2100 NVIDIA USA

We are looking for a AI Solution Architect Engineer with experience in Generative AI software development and deployment. As part of the Solution Architect organization, we work with the most exciting computing hardware and software, driving the latest breakthroughs in deep learning and AI with NVIDIA’s key customers. This role offers an excellent opportunity to build your career in the rapidly growing field of AI while working with the world’s most successful technology companies. Primary responsibilities will be to lead software customer technical engagements with NVIDIA products and technologies. Join us in this exciting endeavor! What you’ll be doing: Develop and demonstrate software solutions based on NVIDIA’s ground breaking AI software and hardware technologies to customers. Develop GenAI model pipeline and perform in-depth analysis and optimization to ensure the best performance on current- and next-generation GPU architectures Develop and debug software for NVIDIA and OSS AI frameworks and libraries Lead and develop proof-of-concepts (PoCs) for software solutions applied to Consumer Internet industry use-cases such as NLP/LLM, retrieval, recommender, etc. by working closely with customer’s AI developers. Build collateral (notebook/code) for PoCs Work closely with business development team owning the technical relationship and enabling customer in building innovative solutions based on NVIDIA technologies Partner with NVIDIA software engineering, product, sales teams to secure design wins at customers. Enable development and growth of NVIDIA product features through customer feedback and PoC evaluations What we need to see: BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields or equivalent experience 5+ years of experience as an AI/Software Engineer with proven track record coding in Python and/or C++ with popular AI software libraries and GPUs Experience with GenAI applications and LLM training/fine-tuning, inference optimization and/or RAG pipelines Ability to communicate your ideas/code clearly through GitHub, documentation Great teammate who enjoys collaborating with teams across the organization such as Engineering/Research, Sales, Product, and Marketing Effective verbal/written communication, and technical presentation skills Self-starter with passion for growth, enthusiasm for continuous learning and sharing findings across the team Ways to stand out from the crowd: Experience working with enterprise developers and customer facing skills Experience with large-scale production data pipelines and AI model training/deployment Knowledge of MLOps technologies such as containers, Kubernetes, data center deployments etc. Able to think creatively to debug and solve complex problems We make extensive use of conferencing tools, but occasional travel is required for local on-site visit to customers and data science conferences. We are open to remote work location. We look forward to have you join our team! With highly competitive salaries, a comprehensive benefits package, and an excellent engineering work culture, NVIDIA is widely considered to be one of the technology industry’s most desirable employers. NVIDIA has some of the most innovative people working on meaningful problems that are defining the field of ML/DL, data science, robotics, and graphics. The base salary range is 148,000 USD – 230,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. 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 the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world’s largest industries and profoundly impacting society. Learn more about NVIDIA. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Marketing, Sales and Engineer jobs that are similar:\n\n
$50,000 — $90,000/year\n

\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nUS, CA, Santa Clara

Apply for this job

👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!

When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with “how to work online” are also scams. Don’t use them or pay for them. Also always verify you’re actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it’s the actual company’s main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.

Leave a Reply

Your email address will not be published. Required fields are marked *