Senior Embedded Systems Engineer

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

Job summary

A vibrant company is seeking a Senior Embedded Systems Engineer to enhance their Optical Tensor Processing Unit (OTPU) hardware development. The role involves architecting tooling for hardware validation, collaborating with teams, and delivering high-performance embedded systems. Candidates should bring at least 5 years of experience, strong skills in C/C++, and a proactive approach to problem-solving in a fast-paced environment.

Benefits

Stock options in a growing AI company.

Comprehensive healthcare insurance.

Private access to our 3D printer.

Qualifications

• 5+ years experience with systems like SoCs, FPGAs, or AI accelerators.
• Proficient in C/C++ with real-time constraints understanding.
• Strong Python skills for prototyping and automation.

Responsibilities

• Design tools for hardware validation and bring-up with rapid prototyping.
• Develop calibration and debug tooling primarily in Python.
• Define CI/CD infrastructure for embedded development.

Skills

Hardware bring-up

Calibration

Debugging

C/C++ Programming

Python

CI/CD pipelines

Hardware debugging tools

Communication

Job description

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Senior Embedded Systems Engineer, Wolverhampton

Client:

Location: Wolverhampton

Job Category: Other

EU work permit required: Yes

Job Views: 2

Posted: 06.06.2025

Expiry Date: 21.07.2025

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 OTPU hardware development. You will own tools for 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 with top 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.
• Define and implement CI/CD infrastructure for embedded development to enable fast iteration and system reliability.
• Create systems for real-time monitoring, diagnostics, and fault handling across OTPU hardware.
• Establish boundaries between prototype and production code to ensure maintainability and velocity.
• Collaborate with optical, hardware, and software teams to align on system interfaces, requirements, and performance goals.

Skills & Experience

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

Details

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

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