Software Engineering Manager

Reposted 17 Days Ago
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London, England
In-Office
24K-24K
Senior level
Artificial Intelligence • Software • Semiconductor
The Role
Lead a multi-disciplinary team of engineers in delivering high-impact AI solutions, focusing on technical leadership and project management.
Summary Generated by Built In

Flux Computing designs and manufactures optical processors to train and run inference on large AI models. Join us to be part of a highly motivated and skilled team that thrives on delivering impact and innovation at speed.

The Role

We’re searching for world-class engineering managers to lead a multi-disciplinary team of 5~10 engineers to push the boundaries of what’s possible each month in a high paced environment. This role blends people management, technical leadership, and project management. Your tight-knit squad of talented engineers are highly motivated to solve high-impact business objectives at light speed, and have fun while doing so. Excellence isn’t just expected, it’s rewarded.

Responsibilities

  • Own Outcomes: You independently hold yourself accountable to delivering against strategic business objectives. Your ownership doesn’t end until you’ve solved the problem.

  • Flux Speed: Every second counts. You create an environment of high performance and fast delivery where deadlines aren’t missed. You set clear objectives, remove blockers, and enable rapid, high-quality releases.

  • Hyper Focused and Vector Aligned: ‘Good’ work in the wrong direction is not valuable. You partner closely with other leaders to understand how you can maximise the impact your teams can deliver together.

  • Insist on the Highest Standards: You set and champion high standards for yourself and your team, driving excellence across technology, people, and processes.

  • Dive Deep: You relentlessly build in-depth knowledge and insight, so you can understand the true root cause of problems. You stay connected to the details while providing enough autonomy to the team to move quickly and have their own wins.

  • Champion Culture: You truly believe in and champion the Flux culture. Culture is the secret ingredient and force multiplier behind every great success story.

Skills & Experience

  • Leadership experience. In previous roles, you’ve supported a team of 5–10 individual contributors to operate at their highest potential.

  • System Expertise: You’ve architected, deployed, and monitored large-scale ML training and inference infrastructures - spanning from data-center cluster orchestration down to on-chip firmware - and can translate requirements across software, hardware, and firmware layers to ensure robust, high-performance accelerator operations in production.

  • Strong technical proficiency. You have extensive experience in several of the following areas: quantisation techniques, low-latency inference, profiling compute pipelines, memory hierarchy, software-hardware interaction, and system programming.

  • Communication skills. You have excellent verbal and written communication, with the ability to clearly convey complex technical concepts and trade-offs across all levels of the organisation and to cross-functional stakeholders.

  • A proven track record. You know how to focus on customer and business outcomes, delivering impactful products through close collaboration with partners.

Compensation & Benefits

  • £167,000 – £204,000 annual salary, depending on experience, skills, and location.

  • Competitive stock options, you’re not just part of the journey, you will own a piece of it.

  • Work from our HQ in King’s Cross, right in the middle of London’s buzzing AI scene.

  • Live within 45 minutes of the office? Perfect. Live within 20 minutes? We’ll add an extra location bonus to your salary.

  • We offer visa sponsorship and full relocation support (UK and abroad), through a dedicated third-party provider who are on hand to make your move to London as seamless as possible.

  • Full BUPA healthcare and dental cover, medical history disregarded.

  • High-spec tech for everyone - M4 Macs as standard, M4 Pros for Engineers.

  • Sony noise-cancelling headphones and ergonomic setups to keep you comfortable and focused.

  • Personal company card to spend on tools that help you do your job - like ChatGPT Pro or anything else that boosts your workflow.

  • Healthy, chef-cooked dinners in the office every night, with something for every diet and tastebud.

  • Monthly off-site team socials.

  • 25 days of paid holiday, plus all the UK bank holidays.

  • Access to our in-house 3D printer for personal or work projects.

  • Cycle2work scheme.

  • Need a caffeine fix? We’ve got you covered with a tab at our favourite local coffee shop.

  • We offer a pension plan and salary sacrifice options.

Due to U.S. export control regulations, candidates’ eligibility to work at Flux depends on their most recent citizenship or permanent residency status. We are generally unable to consider applicants whose most recent citizenship or permanent residence is in certain restricted countries (currently including Iran, North Korea, Syria, Cuba, Russia, Belarus, China, Hong Kong, Macau, and Venezuela). Applicants who have subsequently obtained citizenship or permanent residency in another country not subject to these restrictions may still be eligible.

Please note: we receive many applications, and this role is not at the top of our priority list. We anticipate reviewing all submissions within 3 weeks, and will contact you if you are shortlisted.

We do not accept unsolicited CVs from recruitment agencies, will not be liable for any fees, and prohibit unauthorised use of our company name in recruitment activities.

We’re building fast and that includes our benefits. More exciting additions are coming soon for the Flux crew.

If you are passionate about pushing the boundaries of what's possible in AI and thrive in a high-energy, fast-paced environment, we want to hear from you. Apply now to join Flux and be a key player in shaping the future of computing.

Top Skills

Compute Pipelines
Firmware
Low-Latency Inference
Machine Learning
Memory Hierarchy
Quantisation Techniques
Software-Hardware Interaction
System Programming
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The Company
40 Employees
Year Founded: 2024

What We Do

Flux Computing designs and manufactures optical processors to train and run inference on large AI models.

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