Offer summary

Qualifications:

5+ years of software engineering experience, Experience with distributed systems and data pipelines, Familiarity with cloud platforms like AWS, GCP, or Azure, Knowledge of container orchestration tools such as Kubernetes..

Key responsabilities:

Design and implement scalable infrastructure for AI deployment pipelines

Build and maintain distributed compute clusters and optimize resource allocation

Implement CI/CD pipelines and automated testing for AI models

Collaborate with ML engineers to address infrastructure needs and monitor system health.

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. 💡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.

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