Full-Time

Solutions Architect

Confirmed live in the last 24 hours

Latent AI

Latent AI

51-200 employees

Optimizes AI for edge computing applications

Robotics & Automation
Enterprise Software
AI & Machine Learning

Junior, Mid

No H1B Sponsorship

Washington, DC, USA + 1 more

More locations: Princeton, NJ, USA

Includes other DoD-centric locations.

US Citizenship, US Top Secret Clearance Required

Category
Solution Engineering
Sales & Solution Engineering
Required Skills
Python
Tensorflow
Git
Keras
Pytorch
JIRA
Jenkins
iOS/Swift
Natural Language Processing (NLP)
C/C++
Android Development
Development Operations (DevOps)
Computer Vision
Requirements
  • 2+ years of experience as developer or customer success
  • Highly motivated, strong communicator, with entrepreneur spirit and experience, driving projects from inception to production
  • Demonstrated ability to adapt to new technologies and learn quickly
  • Experience with product positioning, presentations, demos, and complex POCs
  • Demonstrated experience designing and implementing integrated systems and/or product solutions
  • An aptitude for understanding integrations with both partner and customer environments
  • Strong communication and presentation skills to audiences at various levels of technical knowledge
  • Proficient with common engineering development tool set like Jira, Github, Jenkins, Gitlab, DevOps and DevSecOps
  • Software development experience, with proficiency in relevant languages and AI/ML frameworks (e.g. Python, TF/Keras, PyTorch)
  • Hands-on programming or scripting experience preferred (e.g. Python, C/C++, Android, iOS)
  • Solid domain knowledge (e.g. computer vision, audio, speech, NLP, Generative AI)
  • Proven ability to multitask on several projects concurrently
  • Computer science, engineering, or technical degree, or related experience desirable
  • Willingness to travel to customer locations (10%-50%)
  • US citizenship required
  • DoD Clearance strongly preferred
Responsibilities
  • Be a technical voice of the Latent AI, representing Latent AI to customers and customers to the engineering team
  • Conceptualize and architect the details of delivery to customers, including: Data schema, AI/ML model development, Hardware requirements, Documentation, Customer requirements
  • Engage with strategic partners to architect integrated product solutions and features
  • Deliver technical demonstrations and pilots as well as create custom prototypes
  • Conduct whiteboard sessions, technical workshops with customers to align Latent AI with their business and technical requirements
  • Provide an authoritative voice to represent Latent AI’s engineering thought process and domain expertise for delivery and sales motions
  • Decompose customer requirements into necessary engineering tasks and work with engineering to plan tickets to implement meet those tasks
  • Be a customer advocate: drive customer feedback into support and engineering
  • Help transition products and features from Engineering to Sales
  • Help field technical customer questions with the Sales team
  • In partnership with the sales team, formulate and execute a sales strategy to exceed revenue objectives through the adoption of machine learning and embedded hardware framework
  • Own the technical relationship with a portfolio of accounts, and partner with the other members of the account team (Customer Success Manager, Enterprise Sales Managers, Enterprise Account Managers, and Solution Architects) to define and execute account strategy.

Latent AI focuses on enhancing artificial intelligence for edge computing, which involves processing data close to where it is generated, like on smartphones and IoT devices. Their main product is an edge MLOps workflow that automates and simplifies the deployment of AI models on these devices, ensuring they are efficient, secure, and require minimal maintenance. This company stands out from competitors by specifically targeting the edge computing market and providing a software development kit (SDK) called Latent LEIP, which aids developers in creating and deploying AI models. The goal of Latent AI is to make AI more accessible and efficient for applications that need real-time data processing, such as in autonomous vehicles and smart cities.

Company Stage

Series A

Total Funding

$21.9M

Headquarters

Menlo Park, California

Founded

2018

Growth & Insights
Headcount

6 month growth

17%

1 year growth

38%

2 year growth

63%
Simplify Jobs

Simplify's Take

What believers are saying

  • Increased demand for edge AI due to 5G technology boosts Latent AI's market potential.
  • Growing smart city projects globally drive demand for efficient edge AI solutions.
  • The automotive industry's shift to autonomous vehicles increases need for real-time edge AI.

What critics are saying

  • Competition from tech giants like NVIDIA and Qualcomm threatens Latent AI's market share.
  • Rapid AI advancements may outpace Latent AI's current offerings, requiring continuous innovation.

What makes Latent AI unique

  • Latent AI specializes in optimizing AI for edge computing, enhancing real-time processing.
  • Their edge MLOps workflow ensures AI models are compressed, secure, and efficient.
  • Latent AI's SDK, Latent LEIP, streamlines AI model deployment on edge devices.

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