Software security engineer, embedded
📌London, United Kingdom 🇬🇧
⏱︎ full-time
🧙♂️ senior
WRITER is seeking a Software Security Engineer (Embedded) to design, build, and scale the systems that protect our users, their data, and their interactions with our AI/AGI services.
At WRITER, we believe security should be seamless for our customers—baked into the platform so it’s invisible in daily use, but unyielding against abuse. This role blends deep software engineering expertise with a product mindset to deliver security tools, frameworks, and controls that serve millions of users without slowing them down.
You’ll be responsible for fraud prevention, abuse detection, identity systems, and secure-by-default development platforms that empower our engineering teams to move quickly without compromising safety. If you can turn complex security requirements into elegant, developer-friendly solutions, this is your stage.
Role Boundaries & Collaboration
What You Own (Responsible)
- Customer authentication and authorization systems
- Fraud and abuse detection systems
- Customer-facing AI security controls
- Internal security platforms and tools
- Security libraries and frameworks for engineering teams
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Security metrics and dashboards
- Employee identity systems (Enterprise/Corporate owns)
- Infrastructure identity (Cloud/Infrastructure owns)
- AI security research (AI Security owns)
- Infrastructure security tools (Cloud/Infrastructure owns)
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Compliance requirements (GRC owns)
- With AI Security: They research threats; you build customer protections
- With Detection & Response: They detect attacks; you build preventive systems
- With Cloud/Infrastructure: They provide infrastructure; you build security features
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With Enterprise/Corporate: Clear boundary at customer vs. employee identity
- Protect customers at scale — Build fraud detection, rate limiting, abuse prevention, and LLM interaction controls (prompt injection prevention, output filtering).
- Own customer identity security — Design and implement authentication and authorization systems, protecting customer data and AI service interactions.
- Engineer security platforms — Create tools and dashboards that automate repetitive security tasks, track vulnerabilities, and enable cross-team security efficiency.
- Build reusable security frameworks — Develop secure-by-default APIs, SDKs, cryptographic libraries, and communication frameworks for company-wide use.
- Strengthen platform security — Implement multi-party authorization, secrets management, audit logging, and zero-trust networking components.
- Empower developers — Deliver self-service security tools and frameworks that integrate seamlessly with engineering workflows.
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Lead technically — Drive the architecture of security systems, mentor engineers, review designs, and influence security strategy across the organization.
Required Experience
- 8+ years in software engineering, building production systems.
- 5+ years developing security-focused tools, libraries, or platforms.
- Proven success building systems adopted by hundreds of engineers.
- Experience with fraud detection or abuse prevention at scale.
- Deep expertise in distributed systems and API design.
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Strong programming skills in Go, Python, or similar languages.
- Expert in software design patterns and scalable architectures.
- Proficiency with authentication and authorization protocols (OAuth, SAML, OIDC).
- Understanding of LLM security challenges and mitigation strategies.
- Experience building high-performance, customer-facing systems.
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Hands-on with data processing, analytics, and automation platforms.
- Track record of 90%+ adoption of security tools by engineering teams.
- History of reducing security friction through automation and thoughtful design.
- Proven ability to scale security systems to millions of users.
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Strong product sense and empathy for customer experience.
- Background in fraud or risk engineering at scale.
- Experience with AI/ML-specific security challenges.
- Knowledge of financial security and compliance standards.
- Contributions to open-source security projects.
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Experience at consumer-facing technology companies.
- Generous PTO, plus company holidays
- Comprehensive medical and dental insurance
- Paid parental leave for all parents (12 weeks)
- Fertility and family planning support
- Early-detection cancer testing through Galleri
- Competitive pension scheme and company contribution
- Annual work-life stipends for:
- Home office setup, cell phone, internet
- Wellness stipend for gym, massage/chiropractor, personal training, etc.
- Learning and development stipend
- Company-wide off-sites and team off-sites
- Competitive compensation and company stock options
Senior Embedded Software Engineer
@ Embedd 
What we're looking for
At embedd.it, we power hardware-software integration in embedded devices. We turn fragmented semiconductor chip data into configurable digital twins, then deterministically generate code, tests, and documentation – making integration faster, cheaper, and resilient to supply chain shocks.
We’re looking for a true legend – someone with abstract thinking and deep expertise in low-level software development. You’ll build vendor-agnostic tooling for MCU and peripheral integration to solve hardware-software integration once and for all. We work at the intersection of embedded systems, code generation, compilers, and machine learning. It’s your chance to help redefine how low-level development is done.
Responsibilities
- Drive the architecture of the driver structures and system layout
- Define scalable patterns for cross-architectural integration across bare-metal, Zephyr, Linux, and other environments
- Deconstruct complex SoC device trees and translate hardware descriptions into structured internal models for automated reasoning
- Partner with the ML team to shape data and annotation models for AI-driven data-extraction tooling
Qualifications
- 5+ years of experience in embedded systems development, including bare-metal and RTOS-based systems
- Proficiency in C/C++
- Familiarity with firmware configuration, SoC bring-up, and system-level debugging
- Hands-on experience with code generation tools, or low-level compiler/decompiler/emulator technologies
- Strong background in embedded toolchains: compilers, linkers, debuggers, and build systems
- Python or scripting for automation and tooling is a plus
- Experience with functional-safety standards is a plus
Why embedd.it?
- Dynamic, venture-backed team of engineers challenging the status quo 🚀
- Work at the intersection of embedded systems, code generators, compilers, and ML 🤖
- Unusual challenges requiring out-of-the-box abstract thinking 🧠
- Competitive compensation: cash + equity 💰
- Remote work possible 🌍
About Us
embedd.it is a UK-based startup reinventing embedded development. Our platform transforms unstructured semiconductor data into structured digital twins, enabling automatic generation of drivers, tests, and documentation. We're building a single, traceable source of truth to make integration fast, vendor-agnostic, and future-proof.
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Employment
⏱︎ full-time
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Experience
🧙♂️ senior
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Skills
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Industry
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