Rodeo
Get started

Wave Photonics

Infrastructure Engineer

Cambridge
Posted about 14 hours ago
Sign up to applySee more jobs like this

How your CV stacks up

1Upload CV
2Analyse CV
3Improve CV

Upload your CV to see how well it fits this job role

?%

Infrastructure Engineer

Cambridge, UK

Start date: September 2026 or ASAP

Contract: Permanent, full-time role

About us

At Wave Photonics, we are building a platform to enable and accelerate the development, mass production and adoption of integrated photonics technologies. Integrated photonics will be crucial in enabling a host of applications ranging from energy-efficient communications, wearable healthcare sensors, rapid diagnostic tools, optical tensor processors, on-chip LiDAR, quantum computing and communication, and many more. We believe that many obstacles in developing these technologies can be removed using a combination of simulation, statistical modelling and optimisation techniques.

Founded in 2021, we have backing from investors in Silicon Valley, the UK, and the EU, and are contributing to multiple projects funded by Innovate UK. We were also successful in winning a prestigious European Innovation Council Accelerator grant to develop solutions for frontier applications of integrated photonics.

Today we are a team of around 20 people in Cambridge, automating PDK design for integrated photonics and building the hub that connects chip designers, IP providers and foundries. Behind the product sits a serious compute and data pipeline, and it now needs someone to own it.

We are seeking a highly motivated and enthusiastic Infrastructure Engineer to join our team and contribute to our mission in accelerating the growth and adoption of integrated photonics technologies. If you’re drawn to deep tech, enjoy working where your contributions are visible, and want to be part of a team that takes both its science and its culture seriously, we’d love to hear from you.

Role overview

Your mission is to build reliable, cloud-backed HPC infrastructure that our team can run heavy design and simulation workloads on without friction, and to take care of security across how we run IT both on-prem and in the cloud. Our compute lives across our own hardware and the cloud, unified under Kubernetes with the ability to burst upward when we need it. Your job is to make that platform solid, self-service and trustworthy, and to keep it secure end to end.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

See breakdown
Save jobNot relevant
View details

It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

See breakdown
Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

See breakdown
Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

What you will own

  • The compute platform – Kubernetes across on-prem and cloud, run as one coherent system, including cloud bursting. Making it easy for the team to submit, monitor and debug compute-heavy jobs without needing to understand the machinery underneath.
  • Observability – Monitoring and alerting that tells you something is wrong before a user does.
  • Data infrastructure – Reliable, well-organised storage and access for large scientific datasets, with backups you can trust.
  • Security – Making sure our environment is secure (RBAC, secrets, policies, zero trust networking)

Our core stack

Kubernetes, cloud (DigitalOcean/GCP) alongside bare metal, Terraform. Both CPU and GPU workloads.

We want to build things once, so they don’t demand constant attention: it requires a lot of automation, monitoring relevant metrics, and designing robust systems. If your instinct on seeing a recurring manual task is to engineer it out of existence, you will fit in well here. It is a broad role with a lot of autonomy, so you will set the standards and we will trust you to run with them. As the company grows, so will the scale of what you are running.

Desired skills and experience

Essential

  • Experience running Kubernetes in production, ideally including bare metal.
  • Cloud-native mindset: you think in Kubernetes and treat on-prem machines as just another part of the cluster.
  • Some Linux sysadmin experience, to manage our bare metal boxes.
  • Comfortable with compute-heavy, batch-style workloads.
  • Experience with Infrastructure as Code (Terraform)
  • Willingness to take ownership and make pragmatic calls.
  • Being able to architecture robust/reliable systems, Care about the experience of the people relying on your infrastructure.

Get help with your application

Your very own career expert that helps elevate your application to the next level.

Get help applying for this job

Nice to have / Beneficial

  • HPC-style job scheduling (Kueue, Slurm, MPI, or similar).
  • Experience with large scientific or array datasets.
  • Any background in photonics, semiconductors, EDA, or scientific computing.

We are particularly interested in people who can solve complex problems, learn quickly and make a meaningful contribution. If you do not meet every requirement but believe you could be successful in the role, we would still encourage you to apply.

If you are as excited as we are about the world-changing technologies that will be enabled by integrated photonics and you want to play a key part in it, then please get in touch!

Work environment

At Wave Photonics, we see a brighter future. We strive towards that goal not only in the technology we develop, but as a dedicated and welcoming team who are passionate about working together to make it happen. We see the huge value in creating a team with people from all backgrounds and experiences. Equity, diversity, and inclusion are vital to our mission, and we strongly encourage people of all backgrounds and identities to apply.

Our office in Cambridge serves as the dynamic hub where brilliant minds converge to redefine the future of integrated photonics. Nestled in one of the world’s most renowned academic and technological cities, our workspace embodies the spirit of collaboration, creativity, and cutting-edge exploration. We strive to create an environment where open communication and cross-disciplinary thinking are not just encouraged but celebrated.

Trusted by 25,000+ job seekers

“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

Get help applying for this job

Skills

Kubernetes
Terraform
Linux Sysadmin
Infrastructure as Code
Cloud Computing
Bare Metal Management
Observability
Data Infrastructure
Network Security
HPC Job Scheduling
GPU Workloads
RBAC
Zero Trust Networking
DigitalOcean
GCP

Location

Cambridge, England, United Kingdom

Sign up to applySee more jobs like this