Anduril is seeking a SEIT (Systems Engineering, Integration and Test) Lead to join the Omen team based in Abu Dhabi, UAE. Omen is Anduril’s hover-to-cruise autonomous air vehicle (AAV) that packs the endurance, payload, and mission flexibility of much larger airplanes into a novel runway-independent Group 3 platform. Omen can operate from ship decks, beaches, or remote island clearings, providing true runway independence and freedom of maneuver across defense and civilian domains. Omen is the first tail-sitter aircraft with a mass-production contract, with an order of 50 systems representing a decisive investment that anchors production and accelerates the development of future systems.

You will work on a new aircraft development project, bringing pragmatic SEIT thinking to deeply understand local requirements and champion ‘Test’ as a design tool to drive rapid capability development, ensuring that end-user needs are met in challenging operational environments. You will be part of a lean, high-ownership culture where you directly shape the product and operate at a velocity to fly new designs within months, not years.

WHAT YOU’LL DO

• Work with customers and end-users to evolve the regional Concept of Operations (CONOPS) the product life cycle, developing inputs to high-level requirements informing key design decisions.
• Deploy right-sized, Agile Systems Engineering governance approaches for rapid capability development efforts - with the right amount of process discipline and artifacts and support System Design Reviews (SDRs).
• Manage System Interfaces and develop integration processes for sovereign Mission System equipment and Payloads, developing test objectives and test plans for execution
• Work with partner organizations to coordinate a broad range of in-country development activities including bench and environmental testing of individual components, building and operating Hardware In Lab (HIL)/Hardware In The Loop (HITL) integration environments, flight testing of uncrewed and crewed surrogate platforms, and ground and flight test of the Omen System
• Liaise with partner organizations and local authorities to secure operational approvals (airspace, frequency, physical deconfliction, safety, and appropriate test range facilities)
• Shape, build and utilize Anduril in-country development facilities establishing local capability
• Plan, coordinate and execute major test and demonstration events, including resourcing, logistics (equipment export/import), conduct Test Readiness Reviews (TRRs), perform as Test Director (TD), and ensure high-impact, timely reporting
• Conduct safety assessments with a pragmatic understanding of hazards and mitigations - holding the safety of team members above all else

REQUIRED QUALIFICATIONS

• Bachelor degree or higher in Aerospace Engineering, Systems Engineering or aviation-related technical discipline
• 10+ years of experience in Aerospace or product development/test and evaluation environments and aviation safety/quality systems
• Demonstrable Systems Engineering proficiency, with first-hand understanding of both the benefits and limitations of the approach
• Experience in all facets of the test process including writing test plans and procedures, conducting risk assessments, mitigating hazards, running test readiness reviews, directing test events, and responding to unplanned occurrences
• Familiarity engaging with interdisciplinary design teams to evolve test requirements
• Able to work with stakeholders and partners to find solutions and approach to drive fast test outcomes
• Exposure to verification and validation testing, qualification, certification, airworthiness and obtaining permission to operate
• Experience with ground and flight testing crewed or uncrewed developmental aircraft (Group 3 or larger) at the System/Platform level. Familiarity with airpace management in the Middle East and other regional regulatory practices desirable.
• Experience working in the Middle East and Arabic Language Proficiency advantageous
• Eligible to obtain and maintain a security clearance in United States, United Kingdom, or Australia

About the role 

We are seeking an experienced Machine Learning Lead to helm our Machine Learning team. 

In this pivotal role, you will be the engineering architect behind Vulcan’s core AI capabilities. You will act as the nexus between Research, Platform, and Product. Your mission is to translate cutting-edge findings on GenAI threats into robust, production-ready machine learning models that power our GenAI Security Guardrails (Blue Team) and Automated Vulnerability Assessment (Red Team). 

Crucially, you will serve as the bridge between deep tech and business strategy, articulating technical constraints (like FLOPS and latency) to leadership and clients while guiding the engineering direction. 

Key Responsibilities

1. Model Development & Optimization (Training & Fine-tuning):

• Research to Production: Collaborate with the Security Research Team to operationalize new threat detection techniques. They identify the "what" (e.g., new prompt injection patterns); you determine the "how" (model architecture, training strategy). 
• Fine-tuning & Adaptation: Lead the fine-tuning of Language Models (e.g., using LoRA/PEFT) to optimize for our supported muti-lingual languages and specific security intents.
• Multimodal Readiness: Prepare the system for Multimodal (Text + Image/Audio) capabilities. Evaluate and implement models to detect visual prompt injections and non-textual threats as the product evolves. 

2. MLOps& Data Infrastructure: 

• Enhance & Scale MLOps: Take ownership of our existing ML pipelines. Focus on optimizing and scaling CI/CD/CT workflows to improve training efficiency and deployment velocity. 
• Data Governance: Implement and enforce rigorous Data Versioning strategies (e.g., DVC) to ensure complete reproducibility of model artifacts and datasets.
• Monitoring & Reliability: Maintain rigorous monitoring for model drift and performance, ensuring high reliability in a production security environment.

3. Cross-Functional Implementation & Leadership:

• Platform Collaboration: Work closely with the Platform Engineering Team to integrate ML models into the broader product architecture. Ensure seamless interaction between model inference services and the main platform logic. 
• Team Leadership: Lead and mentor Machine Learning Engineers, fostering a culture of engineering rigor, code quality, and operational excellence.
• Resource Management: Manage GPU resources and compute budgets effectively for both training and inference workloads. 

4. Technical Strategy & Stakeholder Management:

• Translating Tech to Business: Act as the technical voice of the ML team. You must effectively explain complex ML concepts (e.g., FLOPS, quantization trade-offs, model latency vs. accuracy) to executive leadership and clients. 
• Cost-Benefit Analysis: Justify compute resource investments. Articulate the trade-off between infrastructure costs (GPU hours) and performance gains to non-technical stakeholders. 

Qualifications

• Experience: 5+ years in Machine Learning Engineering, with specific experience in leading technical projects or mentoring engineers.
• Communication & Business Acumen: Exceptional ability to distill complex technical topics (e.g., compute complexity, infrastructure costs) into clear, business-relevant insights for decision-makers.
• MLOps Proficiency: Proven experience in optimizing ML pipelines and infrastructure. Familiarity with tools like MLflow, Kubeflow, Airflow, and Data Versioning tools (DVC, etc.).
• Engineering First: Proficient in Python, Docker, and Kubernetes. You treat ML models as software artifacts that need testing and version control.
• NLP & LLM Expertise: Experience with Transformer architectures, Embeddings, and LLM fine-tuning. Familiarity with frameworks like PyTorch, Hugging Face, and vLLM.
• Language Support: Experience processing or fine-tuning models for multi-lingual environments. 

Nice to Have

• Multimodal Expertise: Experience working with Multimodal models (Image-to-Text, Text-to-Image, VLMs like CLIP, LLaVA).
• Security Awareness: Understanding of GenAI security threats (e.g., Prompt Injection).
• High-Performance Computing: Experience optimizing inference speed (quantization, distillation, vLLM) for real-time applications.
• Vector Database: Experience with Vector DBs for RAG applications. 

Why Join Us? 

• Innovative Environment: Be part of a company at the forefront of technology to provide security in GenAI, with opportunities to work on groundbreaking projects. 
• Growth Opportunities: Take your career to new heights with our career development programs and growth-focused culture. 
• Dynamic Team: Join a multi-cultural and dynamic team of dedicated professionals who inspire and support each other. 
• Compensation: Competitive salary and benefits package, commensurate with experience and performance. 

Application Process 

• If you're ready to embark on this exciting journey and contribute to shaping the future of GenAI security, please submit your resume outlining your relevant experience and motivation for applying.
• If you prefer a direct connection or have specific questions about our vision, feel free to reach out to our Co-founder, Alvin Kwock, via LinkedIn.