Senior Embedded Systems Engineer

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

Job summary

A leading AI company is seeking a Senior Embedded Systems Engineer to design high-performance tooling for Optical Tensor Processing Unit hardware development. The role entails developing innovative solutions for hardware safety, calibration, and validation, with a focus on rapid prototyping in Python. Candidates should possess extensive experience in embedded systems and debugging, thriving in a dynamic environment.

Benefits

Stock options

Comprehensive healthcare insurance

Private use of company 3D printer

Qualifications

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

Responsibilities

• Architect robust tooling for hardware validation.
• Design and implement embedded systems for hardware safety.
• Collaborate with cross-disciplinary teams for system alignment.

Skills

C/C++

Python

Hardware Debugging

CI/CD Pipelines

Communication Skills

Tools

Oscilloscopes

Logic Analyzers

JTAG

Job description

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Senior Embedded Systems Engineer, Peterborough

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 OTPU hardware development. You will own tools for hardware safety, calibration, debugging, and validation, from concept to deployment—rapidly iterating, prototyping, and delivering embedded solutions that ensure our OTPUs 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 implementations.
• Design and implement embedded systems for hardware safety, synchronization, and low-level control.
• Develop calibration and debug tooling, primarily using Python for rapid prototyping.
• Define and implement CI/CD infrastructure tailored for embedded development to enable fast iteration and system confidence.
• Create systems for real-time monitoring, diagnostics, and fault handling across OTPU hardware.
• Establish clear boundaries between prototype and production code to ensure maintainability and velocity.
• Collaborate closely with optical, hardware, and software teams to align system interfaces, requirements, and performance goals.

Skills & Experience

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

Details

• Salary: £135,000 to £165,000 depending on experience
• Stock options in a rapidly growing AI company
• Location: Kings Cross, London, in a new 5,000 sq. ft. office
• All employees are expected to work from London HQ and live within a 45-minute commute; a £24,000/year incentive is provided for those within 20 minutes
• Comprehensive healthcare insurance
• Private use of company 3D printer

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