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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong engineering fundamentals with a focus on integrating sensor and data feeds into geospatial applications, deploying machine learning models, and collaborating across multiple engineering disciplines. Capable of problem-solving and adapting to new concepts in a fast-paced environment while ensuring compliance with security clearance requirements.
Highest-signal resume keywords
STEM DegreeMachine Learning DeploymentGeospatial Application IntegrationProblem SolvingSC Clearance Eligibility
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringMachine Learning EngineeringSystems EngineeringRadio Frequency EngineeringData ScienceCyber SecuritySignal ProcessingComputer VisionPerformance Data AnalysisIntegration Engineering
Soft Skills
CuriosityLearning AgilityCollaborative MindsetOwnershipConfidence
Tools & Technologies
Edge DevicesDegraded Communications SystemsStore-and-Forward SystemsSecurity ControlsConfiguration Management
Industry Keywords
Geospatial AwarenessSituational AwarenessEngineering DisciplinesOperational ConstraintsTechnical Focus Areas
Tech Stack
Tools & technologiesCyber Security
About the role
Key responsibilities & impact- Complete several rotations before specialising within one of Rowden’s core engineering disciplines
- Integrate sensor and data feeds into geospatial and situational awareness applications across software, systems, and interfaces
- Design and test system behaviour under degraded communications, including store-and-forward, prioritisation, and security controls
- Deploy and evaluate machine learning models for edge use cases such as computer vision or signal processing
- Build future variants of deployable sensing and communications products through hands-on engineering, integration work, and performance data
- Ship software enabling edge devices to be deployed, configured, and sustained at scale
- Work in software engineering, machine learning engineering, systems engineering, safety engineering, radio frequency engineering, infrastructure engineering, or DevOps rotations
- Collaborate with engineers from multiple disciplines and engage with end users and operational constraints
- Complete a short technical test, alignment call, and assessment day
Requirements
What you’ll need- A STEM degree or equivalent experience, with strong fundamentals in Engineering, Computer Science, Maths, Physics, Electronics, Data Science, or Cyber Security
- Curiosity and learning agility, with the ability to pick up new concepts and apply them quickly
- A collaborative mindset, with the confidence to take ownership where needed
- Evidence of problem solving through projects, labs, hackathons, societies, or work experience
- Candidates must be eligible for SC Clearance
- Applications are for a September 2027 start
- Candidates must indicate two preferred technical focus areas
Benefits
Comp & perks- Flexible, hybrid-working model, with an average 3 days in the office each week (dependent on the role)
- Flexibility, part-time working arrangements, and workplace adjustments supported
- Disability Confident Committed employer
- Inclusive and enabling company culture
- Structured feedback and clear milestones
- Experienced mentors
- Meaningful work and increasing ownership
- Hands-on engineering challenges and assessment-day experience