Software Engineering Internship - Platform/DevOps

About us

Axiomatic AI is building a new class of AI systems designed to reason with the rigor of the scientific method. By combining deep learning with formal logic and physics-based modeling, we create verifiable, interpretable AI systems that collaborate with and support human researchers in high-stakes scientific and engineering workflows.

Our mission, 30×30, is to deliver a 30× improvement in the speed, accessibility, and cost of semiconductor and photonic hardware development by 2030.

We aim to revolutionize hardware design and simulation in these industries and are building a team of highly motivated professionals to bring these innovations from research into commercial products.

Position overview

We are looking for a Platform/DevOps Intern to help strengthen the engineering infrastructure that supports reliable development, testing, and deployment across our systems. In this role, you will work on observability, CI/CD improvements, multi-environment deployment automation, and integration testing.

This internship is a strong fit for a candidate interested in infrastructure, developer productivity, and software reliability. You will contribute directly to our goals around release reliability, monitoring, and operational excellence, while gaining experience in a fast-paced engineering environment.

Your mission

• Support improvements to our observability stack, including Logfire

• Help improve CI/CD pipelines and multi-environment deployment automation

• Increase unit, integration and end to end test coverage and strengthen release reliability

• Contribute to dashboards, monitoring workflows, and infrastructure visibility

• Work closely with engineers to improve internal tooling and deployment confidence across environments

Key requirements

• Currently pursuing a Bachelor's (3rd or 4th year) or Master's in Computer Science or a related field

• Strong proficiency in Python

• Interest in infrastructure, platform engineering, or DevOps

• Familiarity with Docker, CI/CD concepts, and basic cloud services

• Strong analytical and problem-solving skills

• Strong teamwork and communication skills

• Ability to work independently while collaborating closely with engineers

• Comfort working in a dynamic, fast-paced setting

Work model & location expectations

Work model:
On-site. Candidates are expected to be based at our Barcelona, Boston or Toronto office.

Work authorization:
Candidates must have (or be able to obtain) work authorization in one of our office locations.

Relocation support:
Axiomatic will support relocation by covering temporary housing and travel to/from the office location during the transition period.

Hiring manager & interview process

The interview process consists of four stages:

• Culture interview

• Technical + Hiring Manager interview (1 hour)

• Team interview

• Offer stage

Internship details

You will work directly with and be mentored by a global team of multidisciplinary experts pushing the boundaries of AI-assisted physics formalization.

Type:
Paid internship

Duration:
3–6 months (typically starting between June and September, depending on candidate availability)

Future opportunities:
Successful interns may be considered for full-time roles following the internship.

Why join us?

At Axiomatic AI, you will be working on technology that drives innovation in AI for scientific and engineering applications in line with our 30×30 mission.

This is your opportunity to contribute to the development of new AI methodologies that improve scientific modeling, reasoning, and design. You will work on research questions with both theoretical depth and practical relevance, while collaborating with a global team of engineers, scientists, and AI specialists.

We believe in pushing the boundaries of what is possible and continuously seek to redefine the intersection of AI, uncertainty-aware modeling, and scientific computation. If you're excited by technically demanding research and want to help shape the future of AI for engineering and hardware, we want to hear from you.

Worried about not meeting every qualification? Studies show that women and people of color are less likely to apply for jobs unless they meet every listed requirement. At Axiomatic AI, we are dedicated to creating a diverse, inclusive, and authentic workplace. If this role excites you but your background doesn't perfectly match every qualification, we still encourage you to apply. You could be the perfect fit for this position or another opportunity with us.