It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

Key Responsibilities:

• Develop and maintain APIs using NVIDIA Triton Inference Server for scalable deployment of Large Language Models (LLM).

• Implement and optimize pre-processing and post-processing pipelines tailored for LLMs to improve accuracy and efficiency.

• Work with Retrieval-Augmented Generation (RAG) frameworks to enhance the model’s response generation capabilities.

• Collaborate with data scientists, software engineers, and product teams to integrate and deploy ML solutions into production.

• Troubleshoot and resolve issues related to model inference, performance, and scalability

• Proven experience with NVIDIA Triton Inference Server and its APIs.

• Strong understanding of pre-processing and post-processing techniques for LLMs.

• Familiarity with Retrieval-Augmented Generation (RAG) and other LLM mechanisms.

• Proficient in Python and relevant ML frameworks (e.g., PyTorch, TensorFlow).

• Strong problem-solving skills and ability to work in a fast-paced environment.

For positions in the Bay Area, we offer a base pay of $158,500 - $277,500 plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. 

Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. Learn more here (https://www.servicenow.com/content/dam/servicenow-assets/public/en-us/doc-type/other-document/careers/new-world-of-work-personas.pdf) .

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact talent.acquisition@servicenow.com for assistance.

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.