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Senior Software Engineer, ML Infrastructure

Remote: 
Full Remote
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

5+ years of software engineering experience., Proven experience with data pipelines and distributed systems., Familiarity with cloud platforms (AWS/GCP/Azure)., Experience in container orchestration (Kubernetes)..

Key responsabilities:

  • Design and implement scalable infrastructure for AI pipeline.
  • Build and maintain distributed compute clusters.
Standard Bots logo
Standard Bots Machinery Startup https://standardbots.com/
11 - 50 Employees
See more Standard Bots offers

Job description

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. While deep ML expertise isn't required, you'll work closely with our ML team to build the systems that power our AI development pipeline.

💡Experience with AI or 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)

  • Interest in ML/AI infrastructure (deep ML expertise not required)

Tech Stack
  • Python

  • NodeJS/Typescript

  • React

  • Docker

About Standard Bots

Standard Bots is transforming robotics by building an accessible AI-powered platform for companies of all sizes. Designed and assembled in the U.S., our robots are programmed through simple demonstrations, rather than complex coding. By streamlining every step of the AI workflow—from data collection to model deployment—we’re empowering businesses to achieve new efficiencies and tackle diverse challenges across sectors. Our goal is to make intelligent robotics as ubiquitous and accessible as smartphones, fundamentally changing the role of automation in society.

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Machinery
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Problem Solving

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