Senior Software Engineer, ML Infrastructure

Job Posted 20 Days Ago Posted 20 Days Ago
Hiring Remotely in United States
Remote
200K-240K Annually
Senior level
Artificial Intelligence • Productivity • Robotics • Industrial • Generative AI • Automation • Manufacturing
American AI-centric robotics company
The Role
Design and implement scalable infrastructure for AI deployment, focusing on distributed systems and optimizing cloud resources and workflows.
Summary Generated by Built In

About Standard Bots

At Standard Bots, we're revolutionizing real-world automation by making robotic systems accessible to everyone. Our AI-powered platform enables robots to tackle unprecedented challenges through an intuitive instruction interface, bringing the power of software automation to physical spaces.

About the Role

We're seeking a Senior Software Engineer to build and scale our infrastructure supporting AI development and deployment. This is an exciting opportunity to apply distributed systems and DevOps expertise to cutting-edge AI/ML applications. 💡Experience with robotics isn’t required; we’re looking for experienced engineers ready to make a tangible impact in the AI robotics revolution. If you're excited about building scalable systems and want to transition into the AI/robotics space, we’d love to hear from you.

In this role, you will:

  • Design and implement scalable infrastructure for our AI deployment pipeline:

    • Build and maintain distributed compute clusters

    • Optimize resource allocation and automate AI deployment workflows

    • Implement CI/CD pipelines and automated testing for AI models

  • Scale our cloud infrastructure with a focus on:

    • Distributed GPU training coordination and synchronization

    • Data compression and streaming solutions for high-bandwidth sensor data

    • Optimize costs across cloud providers

  • Design and implement observability systems to:

    • Monitor system health and resource utilization for training jobs

    • Automatically detect and diagnose infrastructure issues

  • Collaborate with ML engineers to understand and address infrastructure needs

You might thrive in this role if you:

  • Have 5+ years of software engineering experience, DevOps or ML Ops experience is a plus

  • Proven track record with data pipelines and distributed systems

  • Experience with cloud platforms (AWS/GCP/Azure) and container orchestration (Kubernetes)

  • Experience building ML/AI infrastructure

Tech Stack

  • Python

  • NodeJS/Typescript

  • React

  • Docker

Compensation and Benefits:

The salary range for this role is $200,000 to $240,000, depending on experience. We are open to a variety of seniority levels for this role and will build compensation packages that are commensurate with seniority and skill level. Base salary is just one part of the overall compensation at Standard Bots. All Full-Time Employees are eligible for Employee Stock Options. We also offer a package of benefits including paid time off, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees.

Top Skills

AWS
Azure
Docker
GCP
Kubernetes
Node.js
Python
React
Typescript
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The Company
HQ: Glen Cove, NY
55 Employees
Hybrid Workplace
Year Founded: 2020

What We Do

Standard Bots is redefining the field of robotics with its AI-powered robots which are designed and assembled in the U.S. Unlike traditional robots, which require complex programming, Standard Bots' innovative technology allows users to program robots through simple demonstration, making automation accessible to everyone. This approach facilitates the collection of high-quality training data, empowering our AI models to provide real-time control of robots that adapt to changing conditions. With the goal of enabling businesses of all sizes to deploy robots quickly and easily, Standard Bots builds products for a wide range of industrial and commercial use cases. For more information, visit standardbots.com

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