Apptronik

Director of AI Infrastructure

Austin, TX
Machine Learning
Description

Apptronik is building robots for the real world to improve human quality of life and to help solve the ever-increasing labor shortage problem. Our team has been building some of the most advanced robots on the planet for years, dating back to the DARPA Robotics Challenge. We apply our expertise across the full robotics stack to some of the most important and impactful problems our society faces, and expect our products and technology to change the world for the better.  We value passion, creativity, and collaboration to help us overcome existing technological barriers in the industry to create truly innovative products. 

You will join a team developing state-of-the-art general-purpose robots designed to operate in human spaces and with human tools. It is designed to work alongside humans, mobilize to human spaces, and manipulate the world around it.

JOB SUMMARY 

Apptronik AI Robotics (AIR) team is building a new generation of world-class large behavior and reasoning models for multi-resolution decision making in Robotics and building production grade robotics solutions and delivering this to customers. Apptronik AI Robotics Ops (AIRops) team is responsible for creating the underlying fabric to enable provisioning of core robotics services, training large-scale foundation models for robotics and performing inference for these models in production.   

Appptronik not only provides solutions but also enables an ecosystem of developers. Apptronik AIR builds tooling to build AI enabled robotics both for internal and external developers, democratizing the ability to create solutions on the Apollo platform. This org is at the forefront of defining and driving our Apollo Platform as a Service (PaaS) strategy and execution. 

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES 

This role touches all aspects of the Ops pipeline: DataOps, MLOps and RobotOps 

  • Design and build the development and production platforms that power our products, enabling reliability and security at scale
  • Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches.
  • Overall, this will require creation of platforms for: Data Management, Model Training & Tracking, Benchmarking & Evals, and Model Serving & Deployment  
  • Manage and build a diverse team of high performing AI and ML Infrastructure engineers.
  • Guide and advise product engineering teams on best practices for ensuring observable, scalable and secure systems.
  • Help create a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group think 

TECH STACK 

  • Data: Data Storage, Data ETL, Versioning,
  • Model Lifecycle management: Development and Training, Versioning and Finetuning
  • Workflow design, Experiment Tracking, Validation and Management  
  • Model Deployment & Serving, Monitoring and Logging
  • DevOps for Continual Operation and Scaling
  • High performance computing infrastructure 

EDUCATION and/or EXPERIENCE 

  • Have 10+ years of experience in engineering, including 5+ years of leadership experience in infrastructure and software engineering management.
  • Take pride in building and operating scalable, reliable, secure systems
  • Experience in MLOps and Data Ops lifecycle for large scale AI models - feature engineering, training, validation, tracking, inferencing, experimentation, monitoring, security, Lambda processing, SAGA patterns
  • Experience in building data pipelines & warehousing, data extraction as well as data preparation for large-scale machine learning models.
  • Experience building out high performance computing infrastructure teams at scale
  • Expertise optimizing efficiency of distributed training systems and/or inference systems.
  • Care deeply about helping to build a diverse, equitable, inclusive culture
  • Are comfortable with ambiguity and rapid change 

 

PHYSICAL REQUIREMENTS  

  • Prolonged periods of sitting at a desk and working on a computer
  • Must be able to lift 15 pounds at times
  • Vision to read printed materials and a computer screen
  • Hearing and speech to communicate 

 

 

*This is a direct hire.  Please, no outside Agency solicitations. 

Apptronik provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Apptronik
Apptronik
Artificial Intelligence (AI) Industrial Automation Real Time Robotics

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