Solutions Architect, Generative AI
NVIDIASalary not specified
- Full Time
- Junior (1 to 2 years)
$125,000 – $175,000Compensation
Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise SoftwareIndustries
Requirements
Candidates should have a Bachelor's degree in Computer Science or a related field and at least 2 years of professional experience as a software engineer. A strong technical background and general software engineering knowledge, particularly proficiency in Python, are required. Candidates must possess deep technical knowledge in cloud infrastructure, AI engineering, or model inference performance optimization, along with a demonstrated interest in AI/ML topics, ideally having built something with a generative model. Excellent content creation skills across multiple mediums, with specific expertise in one medium, are necessary. Candidates should be based near San Francisco or New York and able to attend frequent weeknight events.
Responsibilities
The Developer Advocate will create content such as blog posts, videos, social media posts, and tutorials to teach developers how to deploy, optimize, and scale generative AI models on Baseten. They will build demos, documentation, integrations, and other technical artifacts to inspire and educate developers. Engaging with Baseten’s customers and community online and at events, from small meetups to large trade shows, is essential. The role involves establishing expertise to position Baseten as a leader in AI inference infrastructure by leveraging third-party channels like conferences and podcasts. The Developer Advocate will build an engaged audience of ideal customer profiles on social media and will travel up to 25% to represent Baseten at conferences and events while working cross-functionally with both GTM and engineering teams.
Skills
Python
Cloud Infrastructure
AI Engineering
Model Inference
Content Creation
Software Engineering
Baseten
Platform for deploying and managing ML models
About Baseten
Baseten provides a platform for deploying and managing machine learning (ML) models, aimed at simplifying the process for businesses. Users can select from a library of open-source foundation models and deploy them with just two clicks, making it easier to implement ML solutions. The platform features autoscaling, which adjusts resources based on demand, and comprehensive monitoring tools for tracking performance and troubleshooting. A key differentiator is Baseten's open-source model packaging framework, Truss, which allows users to package and deploy custom models easily. The company operates on a usage-based pricing model, where clients pay only for the time their models are actively deployed, helping them manage costs effectively.
San Francisco, CaliforniaHeadquarters
2019Year Founded
$58.4MTotal Funding
SERIES_BCompany Stage
AI & Machine LearningIndustries
51-200Employees