Software Engineer, Phaidra

AI Services

£72.8-109.2k

Salary applicable to UK applicants, for United States residents: $88,800-$160,800/year, Canada residents: CA$108,000-CA$162,000/year, Salary ranges for other countries will vary based on the market rate for the location. + Equity for all locations

MongoDB

Docker

Kubernetes

GCP

Python

Postgres

Terraform

Prometheus

Grafana

PyTorch

Parquet

REST API

Junior and Mid level

Remote from Canada, Ireland, Spain, UK, US

More information about location

AI agentics for AI factories

Job no longer available

AI agentics for AI factories

21-100 employees

B2BArtificial IntelligenceEnterpriseManufacturingDeep TechSaaS

Job no longer available

£72.8-109.2k

MongoDB

Docker

Kubernetes

GCP

Python

Postgres

Terraform

Prometheus

Grafana

PyTorch

Parquet

REST API

Junior and Mid level

Remote from Canada, Ireland, Spain, UK, US

More information about location

21-100 employees

B2BArtificial IntelligenceEnterpriseManufacturingDeep TechSaaS

Company mission

To enable AI factories to operate as a single unit of compute.

Job

Company

Role

Who you are

2+ years of work experience
Bachelors or Masters in Computer Science, or equivalent experience
Experience on designing and implementing services, APIs and backend or MLOps solutions
Expertise with production Software Engineering - fault tolerance, performance tuning, monitoring, and statistics/metrics collection
Expertise in Python and Cloud environments
Ability to collaborate and communicate effectively in an all-remote setting
Doing your work with curiosity, ownership, transparency & directness, outcome orientation, and customer empathy

What the job involves

We are looking for a driven Software Engineer (Backend) to be a part of our growing Data Platform team. You are bold and creative, and have deep empathy for customers who may not be tech-savvy
You will design and implement significant parts of the code base and will have the opportunity to make an immediate impact with your work and guide the product and team as we grow
Building streaming & batch components that power both realtime & historical data ingestion & processing
Building and optimizing the data and feature stores
Building high-throughput and highly-available multi-modal APIs used throughout the organization, from agent training, to realtime inference to user facing applications
Building services to fetch and store external third party data (ex. weather forecasts) required for AI training
In your first 30 days..
You will be immersed in an onboarding program that introduces you to Phaidra and our product
You will spend time in the Engineering org, learning how the teams operate, interact, and approach problems
You will read various parts of our handbook and familiarize yourself with the documentation culture at Phaidra
You will set up your development environment and start working on an onboarding exercise that will introduce you to various parts of our code base
You will learn about how we use agile and be able to navigate our sprint boards and backlogs
You will learn about various team standards and development & release processes
You will start to learn about our system architecture and infrastructure
You will start picking up few good “first-tasks” to get yourself accustomed to the end to end release flow
By your first 60 days..
You will have a solid understanding of what Phaidra does and how we do it
You will have met with team members across Phaidra and started building relationships that will help you be successful at your job
You will have completed the onboarding exercise and will be on your way to completing your first production task
By your first 90 days..
You will have been fully integrated in the team and with team members across the company
You will get a more in-depth understanding of our system architecture and infrastructure
You will have completed your first on-call experience helping monitor and improve our production environments
You will have become an expert with our tooling
You will have started to contribute to knowledge sharing throughout Phaidra

Application process

All of our interviews are held via Google Meet, and an active camera connection is required
Meeting with Operations (30 minutes): The purpose of this interview is to meet you, learn more about your background, discuss what you are looking for in a new position and cover formalities around your application
Hiring Manager interview (30 minutes): This is an introduction call with the hiring manager so that the candidate and the hiring manager can get to know each other better. It will mainly focus on your previous experience and technical background. This meeting is also meant to enable you to ask any questions about the team & role
Technical Interview 1 (75 minutes): The purpose of this interview is to assess problem solving ability using data structures & algorithms
Technical Interview 2 (60 minutes): In this interview, we will go over a real world distributed systems problem. You can expect to draw architecture diagrams using boxes & arrows in your browser. We will talk about system design, scalability and monitoring
Culture fit interview with Phaidra’s co-founders (30 minutes): This interview focuses on alignment with Phaidra’s values and the mutual cultural fit

Our take

The world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate in the same way they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades.

Phaidra analyzes massive amounts of sensor data and creates intelligent AI agents that automatically control and optimize complex industrial facilities. Customers use Phaidra to improve energy efficiency and sustainability; increase plant safety and stability; and maximize yield.

With $50M in fresh funding, Phaidra is ready to scale its AI-driven approach to data center efficiency. Backed by investors including Collaborative Fund, Index Ventures, and Nvidia, the Seattle-based startup has now raised a total of $120M and continues to grow its team. As it strengthens partnerships with leading chip makers and expands globally, Phaidra is set to redefine how data centers operate.

Freddie

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 5 rounds)

Oct 2025

$50m

SERIES B

Jul 2024

$12m

EARLY VC

Total funding: $92.5m

Company benefits

Fast-paced and team-oriented environment.
Phaidra is a 100% remote company with a digital nomad policy.
Competitive compensation & equity.
Outsized responsibilities & professional development.
Training is foundational; functional, and customer immersion focused.
Monthly remote work stipend.
Medical, dental, and vision insurance (exact benefits vary by region).
Unlimited paid time off, with a minimum of 20 days off per year requirement.
Paid parental leave (exact benefits vary by region).
Home office setup allowance and company MacBook.

Company HQ

Central Business District, Seattle, WA

Leadership

Jim Gao

(Co-Founder & CEO)

Previously Team Lead at DeepMind's Energy Division. Before that, worked as a Technical Lead at Google.

Vedavyas Panneershelvam

(Co-Founder & CTO)

Previously Staff Research Engineer at DeepMind.

Katie H.

(Co-Founder & COO)

Prior to co-founding Phaidra, Katie was an Innovation Senior Manager at Ingersoll Rand and an Engineering Team Lead at Trane.

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