About the Role

THE ROLE

As a Senior Software Engineer, you will drive the design and development of an edge platform powering real-time applications. You’ll build systems that run in resource-constrained environments, enabling reliable, scalable execution of data and machine learning workloads.

This is a hands-on, high-impact role working across engineering and applied research, where you’ll take ownership of core platform components and influence how systems are built and run.

IN THIS ROLE

Design and build core platform components, APIs, and SDKs for edge environments
Own the end-to-end lifecycle of real-time applications, from development to deployment and operation
Work directly with data scientists and ML engineers to turn prototypes into production systems
Bridge the gap between research and engineering, making solutions robust and scalable
Shape the technical direction and architecture of the platform
Drive code quality, observability, and system reliability across the stack

WHAT YOU NEED TO SUCCEED

5+ years of experience building real-world software systems, ideally in real-time or data-intensive environments
Strong programming skills in Rust (preferred) or C++
Experience working with distributed or edge systems in production
Solid understanding of deployment, monitoring, and observability
Strong Python skills, especially in data or ML-related workflows
Proven ability to turn complex ideas into practical, working solutions
Comfortable working across engineering and research boundaries

WHAT YOU CAN EXPECT

Work on challenging, real-world systems at the edge of technology
High level of ownership and technical influence
A collaborative team spanning engineering, data, and research
Flexible working and a supportive environment
Clear path toward senior and leadership growth

Requirements

Real-world software experience

5+ years of experience building real-world software systems, ideally in real-time or data-intensive environments.

Rust programming skills

Strong programming skills in Rust (preferred) or C++.

Distributed systems experience

Experience working with distributed or edge systems in production.

Deployment and observability

Solid understanding of deployment, monitoring, and observability.

Python skills

Strong Python skills, especially in data or ML-related workflows.

Nice to Have

Research collaboration

Comfortable working across engineering and research boundaries.

Complex problem solving

Proven ability to turn complex ideas into practical, working solutions.

Benefits

Flexible working

Flexible working and a supportive environment.

Career growth

Clear path toward senior and leadership growth.