
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
C++ AI/ML Software Engineer - HP Wolf Security
HP Wolf Security is changing the future of endpoint security through delivering secure PCs with advanced hardware-enforced security features. As AI becomes increasingly important in cybersecurity, we are expanding our R&D team in Cambridge, UK and are looking for an experienced C++ AI/ML Software Engineer to help develop the next generation of intelligent security solutions.
You will be designing, developing, and optimizing AI and machine learning capabilities within our security platform, contributing to innovative features that leverage advanced analytics, behavioural detection, and intelligent threat prevention. Working as part of a highly collaborative engineering team, you will help bridge the gap between cutting-edge machine learning research and production-grade security software. To see what our engineering teams are working on, visit our technical blogs: https://threatresearch.ext.hp.com/blog.
We're looking for a talented software engineer with a strong background in modern C++ development and experience applying machine learning and AI techniques within commercial software products. This is a fantastic full-time opportunity for a collaborative, hands-on, and experienced developer to join a growing team working at the intersection of cybersecurity, systems software, and artificial intelligence.
We offer a comprehensive benefits package and excellent career development opportunities.
Responsibilities for the C++ AI/ML Software Engineer
- Design, develop, and maintain AI/ML-driven features within HP Wolf Security products.
- Develop high-performance C++ components that integrate machine learning models into endpoint security solutions.
- Collaborate with data scientists and security researchers to productionise AI and machine learning algorithms.
- Optimise model inference, performance, scalability, and resource utilisation on endpoint devices.
- Develop data processing, evaluation, and automation tools using Python.
- Contribute to the design and implementation of intelligent threat detection, behavioural analysis, and anomaly detection capabilities.
- Participate in architecture discussions, code reviews, testing, and continuous improvement of engineering practices.
- Evaluate emerging AI technologies and contribute to future product innovation.
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.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour 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 breakdownIt 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.
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.
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.
Requirements for the C++ AI/ML Software Engineer
- Strong proficiency in modern C++ design, development, debugging, testing, and performance optimisation.
- Experience developing and deploying machine learning or AI-based software solutions.
- Excellent analytical, problem-solving, and software engineering skills.
- Experience working with Python for machine learning workflows, automation, or tooling.
- Understanding of software development lifecycle, testing methodologies, and version control systems.
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or equivalent experience.
A Great C++ AI/ML Software Engineer Will Have Exposure To The Following:
- Machine learning frameworks such as TensorFlow, PyTorch, ONNX Runtime, or similar.
- AI model deployment, optimisation, and inference in production environments.
- Data processing, feature engineering, and model evaluation techniques.
- Security, cybersecurity, or threat detection applications of AI/ML.
- Large Language Models (LLMs), Generative AI, or AI-assisted security technologies.
- High-performance, multi-threaded, or systems-level C++ development.
- Cloud-based AI/ML services and MLOps practices.
- Linux and Windows platform development.
Location & working model
This role is based in HP’s Cambridge office under a hybrid working arrangement, with a minimum requirement to be onsite three days per week. As a people‑focused senior role, regular in‑person collaboration is encouraged.
HP has invested in a new, modern site, including ergonomic workspaces and well stocked kitchen facilities that included a wide selection of coffee.
About You
You’re out to reimagine and reinvent what’s possible- in your career as well as the world around you. So are we. We love taking on tough challenges, disrupting the status quo, and creating what’s next. We’re in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Why join HP Wolf Security
HP Wolf Security is central to HP’s strategy in the PC market, with security designed into hardware, firmware, and software. This integrated approach enables HP to differentiate through built‑in, enterprise‑grade protection and manageability. This role sits at the heart of that strategy, helping deliver the tools that allow customers to deploy, manage, and trust secure PCs at scale.
The primary focus of the HP Wolf Security team is developing cyber security solutions to protect our customers devices and data. The digital threat landscape is ever-changing and as the cyber security industry reacts and adapts to changes, so too do the malware authors. Our unique micro-virtualization technology ensures that customers are protected from even the most bleeding edge cyber security threats. That micro-virtualization technology forms a key pillar in a wider cyber security suite that we're actively developing.
Our History
Inspired by the isolation principles of traditional virtualization, our team known then as Bromium, created a game-changing technology called micro-virtualization to protect end users against advanced malware. Every task the user performs, such as opening a document or clicking on a link, is isolated in its own micro-VM, with access to just the resources required for that task, and existing just for the life of the task. Protection is thus provided through isolation, without relying on detection, hence reliably defending the user from polymorphic and even zero-day malware.
Bromium was acquired by HP Inc on 19 September 2019 forming HP Wolf Security.
For more information, visit our website: https://www.hp.com/uk-en/security/endpoint-security-solutions.html
“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
Skills