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Requirements:
Cyber Systems Engineer We are seeking a Cyber Systems Engineer to join a leading advanced technology division. Role Overview
- Lead the design, development, integration, and testing of cybersecurity solutions for complex multidisciplinary systems, including hardware, firmware, and software.
- Collaborate closely with hardware, software, cybersecurity, and QA teams, as well as external stakeholders and customers.
- Define, develop, and manage system -level cybersecurity requirements.
- Conduct threat modeling and risk analysis for complex electronic systems from early architecture stages.
- Develop and document technical security specifications for infrastructure, hardware, and software teams.
- Coordinate across multiple engineering disciplines and actively participate in system development.
- Support and guide the full system Development Life Cycle (SDLC). Requirements
- Bachelors degree in Electrical Engineering / Electronics / Software Engineering / Aerospace Engineering / Physics - mandatory
- Masters degree in an engineering field - advantage
- At least 3 years of experience in system engineering for multidisciplinary systems - mandatory
- Proven experience in cybersecurity for complex systems - mandatory
- Experience with complex communication systems - mandatory

Requirements:
What we're looking for:
5+ years in software engineering with experience in backend/platform roles.
5+ years of experience with Python.
Proficiency in another language, such as C++, Rust, Java, or Go, is an advantage.
2+ years of experience working with cloud platforms such as Google Cloud (preferred), Azure, or AWS, including familiarity with ML workflow frameworks like KFP or Vertex Pipelines.
Solid experience in ML/AI development (a must).
Experience with inference optimization (vLLM) and fine-tuning (Axolotl/Huggingface).
Expertise with transformers, PyTorch, CUDA, and other low-level ML libraries.
Familiarity with Docker and Kubernetes.
Excellent problem-solving skills and a proactive attitude, with a strong focus on code quality and optimization.
Collaborative mindset with the ability to work closely with cross-functional teams. Strong communication and teamwork skills are essential.

Requirements:
What Were Looking For
5+ years of experience in AI research, with a strong background in LLM research
Advanced proficiency in Python and hands-on experience with leading frameworks and libraries, such as PyTorch, Hugging Face, torchtune, and vLLM
M.Sc. or Ph.D. in Computer Science, Data Science, Statistics, Engineering, Mathematics, Physics, or a related field. Preferably with applied focus on machine learning, computer vision, NLP, or deep learning
Fast learner with excellent problem-solving skills
Positive attitude, intellectual curiosity, and eagerness to learn and share knowledge
Passion for medicine, health, and wellbeing, with a drive to make a meaningful impact
Proven experience translating deep learning research into reliable, high-impact production systems
Collaborative team member who contributes to shared technical decisions and knowledge sharing
(Preferred) Experience with medical data or medical AI

Requirements:
At least 3 years of experience as a software QA - A must.
Expertise in writing test documentation (STD / STP / STR) - A must.
Experienced with bug tracking systems (preferred JIRA) - A must.
Strong analytical and problem-solving skills with ability to handle complex technical challenges
Proven track record of working effectively with development teams and technical stakeholders
Self-motivated with strong organizational and communication skills
Ability to work both independently and as part of a team - A must.
Excellent written and verbal communication skills in English - A must.

Requirements:
4+ years of experience building 3D applications in Unity, with at least some of that in VR (Quest, Vive, or similar).
4+ years of experience in C# programming, including profiling, optimization, and working with Unity's internals (asset pipeline, build system, rendering pipeline basics).
Hands-on experience with VR headset platforms - deployment, device management, tracking APIs, input systems, and the quirks that come with shipping to real hardware.
A degree in computer science, software engineering, or equivalent practical experience.
An interest in and working knowledge of computer graphics and VR rendering.
A professional level of English.
Ability to work at the office at least 4 days a week (the work involves considerable interaction with on-premises VR hardware and manikin systems).
It is beneficial if you also have any of the following:
Experience porting a Unity project across VR headset platforms (e.g. Quest to Pico, or Vive to Quest).
Experience with AssetBundles/Addressables or similar content delivery systems in Unity.
Experience with production deployment workflows - building, packaging, and deploying software to client machines, including Windows platform scripting (C#/PowerShell/Python).
Comfort with networking fundamentals - UDP/TCP, client-server communication, protocol design.
Familiarity with CI/CD pipelines (Jenkins, automated builds, automated testing).
Experience with C++ (reading code, building DLLs, interop with Unity).
Knowledge of AI/ML integration - RAG, speech recognition/generation, or building toolchains with LLM agents.
Experience with field support or customer-facing deployment in a hardware/software product.
Experience with JIRA, Git.
Comfortable with diverse and frequently changing requirements.

Requirements:
At least 5 years of experience as a software QA technical leadership - A must.
Demonstrated experience in leading testing projects and driving quality initiatives - A must.
Experience in team leading in QA projects - An advantage.
Advanced expertise in writing comprehensive test documentation (STD / STP / STR) - A must.
Experienced with bug tracking systems (preferred JIRA) - A must.
A. in Medical Engineering or equivalent or ISTQB Certified- A must.
Strong analytical and problem-solving skills with ability to handle complex technical challenges
Proven track record of working effectively with development teams and technical stakeholders
Self-motivated leader with excellent organizational and communication skills
Excellent written and verbal communication skills in English. - A must.
Experience of working in a medical or simulator or gaming company - Significant advantage
Familiarity with medical Endovascular products and procedures - Significant advantage

Requirements:
At least 3 years of experience as a software QA - A must.
Expertise in writing test documentation (STD / STP / STR) - A must.
Experienced with bug tracking systems (preferred JIRA) - A must.
Strong analytical and problem-solving skills with ability to handle complex technical challenges
Proven track record of working effectively with development teams and technical stakeholders
Self-motivated with strong organizational and communication skills
Ability to work both independently and as part of a team - A must.
Excellent written and verbal communication skills in English - A must.
Experience of working in a medical or simulator or gaming company - Significant advantage
Familiarity with medical Endovascular products and procedures - Significant advantage

Requirements:
Minimum 4 years of experience as a backend or software engineer.
1-2 years of experience leading or owning technical delivery for other engineers.
C# experience or strong background in other object-oriented languages with solid OOP fundamentals
Experience with both relational databases (such as MySQL, PostgreSQL, etc) and non-relational (such as MongoDB, Elasticsearch, etc)
Experience working with AWS or similar cloud platforms.
Experience with Docker and Kubernetes.
Strong understanding of microservices, APIs, and backend system design.
Ability to balance people leadership with hands-on technical work.
Strong communication skills and a high sense of ownership.
Full professional proficiency in English.

Requirements:
6+ years of hands-on software development experience.
At least 2-3 years of experience managing engineering teams or multiple teams.
Experience with building teams - recruitments, mentorships, and building personal plans for the people.
Proven experience delivering complex full-stack SaaS applications, large-scale distributed systems.
Strong understanding of system architecture, cloud infrastructure, databases, security, and DevOps practices.
Strong understanding of front-end and backend development, system architecture, databases, security, and DevOps practices.
Experience working in Agile/Scrum environments and leading teams in fast-paced, high-growth settings.
Ability to balance hands-on technical involvement with people management and execution.
Strong communication skills and ability to work cross-functionally with product, operations, and other stakeholders.
Full professional proficiency in English.

Requirements:
● Minimum 4 years of experience as a full stack engineer.

● 1-2 years of experience leading or owning technical delivery for other engineers.

● Proven experience building production-grade full stack systems cloud-based environments using C# / NestJS / Python / Java or any other OOO langauge.

● Proven experience with a modern frontend framework such as React, Angular, or Vue.js.

● Experience with both relational databases (such as MySQL, PostgreSQL, etc) and non-relational (such as MongoDB, Elasticsearch, etc)

● Experience working with AWS or similar cloud platforms.

● Experience with Docker and Kubernetes.

● Strong understanding of microservices, APIs, and full stack system design.

● Ability to balance people leadership with hands-on technical work.

● Strong communication skills and a high sense of ownership.

● Full professional proficiency in English.

Requirements:
Technical Expertise: Possess a robust background in cybersecurity and threat intelligence research.
Programming Proficiency: Demonstrated proficiency in Python, Go, or C++, with a particular emphasis on developing automation or data processing pipelines.
Analytical Acumen: Proven ability to synthesize disparate data points to construct a cohesive and accurate intelligence picture.
Professional Communication: Exceptional technical writing skills and the capability to present complex findings to stakeholders with clarity and professional gravity.
Accountability: Ownership by holding self and others responsible for driving outcomes and meeting commitments that deliver value for the business and customers.
Adaptability & Automation Mindset: Comfortable navigating change and ambiguity, with a proactive approach to improving efficiency by automating manual tasks and streamlining team workflows.
Language Proficiency: Fluent written and verbal communication skills in English.
Core Value Embodiment: Embody our core values to foster a culture of excellence that drives meaningful impact and collective success.
Preferred Skills:
Demonstrated familiarity with the MITRE ATT&CK framework.
Active engagement within the security research community (e.g., participation in CTFs, publishing blog posts, or contributing to open-source projects).
Highly articulate, written, and verbal English communication.
Comprehensive understanding of the threat intelligence landscape, including Advanced Persistent Threats (APTs), Initial Access Brokers (IABs), and their Modus Operandi.
Familiarity with the Dark Web and the cybercrime forum ecosystem.