Senior Embedded Systems Engineer

JR United Kingdom; Glasgow; On-site; GBP 135,000 - 165,000; Full time

Job summary

A leading AI company is seeking a Senior Embedded Systems Engineer to design and implement innovative embedded systems. This role involves architecting robust tooling for hardware validation, collaborating with cross-functional teams, and leveraging expertise in C/C++ and Python to drive the development of groundbreaking AI technologies. The position offers an exciting opportunity to contribute to cutting-edge projects in a high-energy environment.

Benefits

Stock options in a rapidly growing AI company

Comprehensive healthcare insurance

Private use of 3D printer

Qualifications

• 5+ years experience with hardware bring-up, calibration, and debugging.
• Deep proficiency in C/C++ for embedded applications.
• Strong Python skills for prototyping, automation, and testing.

Responsibilities

• Architect robust tooling for hardware validation and bring-up.
• Collaborate with optical, hardware, and software teams on system interfaces.
• Define and enforce boundaries between prototype and production code.

Skills

C/C++

Python

Hardware debugging

CI/CD pipelines

Communication

Tools

Oscilloscopes

Logic analyzers

JTAG

Job description

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Senior Embedded Systems Engineer, Glasgow

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Client:

Location:

Glasgow, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

2

Posted:

06.06.2025

Expiry Date:

21.07.2025

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Job Description:

Company Overview

Flux has developed the world’s first Optical Tensor Processing Unit (OTPU). Flux's OTPUs are custom-designed AI accelerators optimized for training and inference of large AI models. Join us in London to be part of a dynamic team that thrives on innovation and speed.

The role

We’re searching for Senior Embedded Engineers to design and build high-performance tooling supporting our OTPU hardware development. You will own tools spanning hardware safety, calibration, debugging, and validation, from concept to deployment, iterating rapidly to deliver robust embedded solutions that enable OTPUs to operate safely, efficiently, and at peak performance.

Responsibilities

• Architect robust tooling for hardware validation and bring-up, with rapid prototyping in Python and a clear path to production-grade implementations.
• Design and implement embedded systems for hardware safety, synchronization, and low-level control.
• Develop calibration and debug tooling, primarily in Python.
• Define and implement CI/CD infrastructure for embedded development to ensure fast iteration and system integrity.
• Create systems for real-time monitoring, diagnostics, and fault handling across OTPU hardware.
• Define and enforce boundaries between prototype and production code for maintainability.
• Collaborate with optical, hardware, and software teams on system interfaces, requirements, and performance goals.

Skills & Experience

• 5+ years experience with hardware bring-up, calibration, and debugging (e.g., SoCs, FPGAs, AI accelerators).
• Deep proficiency in C/C++ for embedded applications, understanding real-time constraints, memory models, and hardware interfaces.
• Strong Python skills for prototyping, automation, and testing.
• Experience building CI/CD pipelines for embedded development.
• Proficiency with hardware debugging tools (oscilloscopes, logic analyzers, JTAG).
• Understanding of hardware/software boundaries, including interrupt handling, bus protocols (e.g., PCIe), and memory-mapped I/O.
• Excellent communication skills; ability to thrive in fast-paced, cross-disciplinary startup environments.

Details

• Salary: £135,000 – £165,000 depending on experience.
• Stock options in a rapidly growing AI company.
• Location: London HQ in Kings Cross, with a 45-minute commute requirement; additional £24,000/year incentive for those within 20 minutes.
• Comprehensive healthcare insurance.
• Private use of 3D printer.

If you are passionate about advancing AI and thrive in a high-energy environment, we want to hear from you. Apply now to join Flux and shape the future of computing.