Staff Field Solutions Engineer (R5644)

Shield AI
Melbourne, Australia
On-site

Who this role is best for

Best suited to technical professionals with deep simulation and defense industry experience working in Australia and the Indo-Pacific region.

Best fit for

  • Candidates with 7+ years in defense simulation and strong cross-functional collaboration skills
    — “7+ years of experience in modeling and simulation, training systems, test and evaluation”
  • Individuals with hands-on experience in synthetic environments and AI-enabled systems
    — “Practical experience with image generation systems, platform-in-a-box systems, synthetic environments”
  • Professionals who can translate complex technical requirements into feasible solutions for military stakeholders
    — “Ability to translate customer requirements, mission needs, training objectives, and technical constraints into feasible solution concepts”

Things to consider

  • International travel is expected for customer engagements and demonstrations
    — “Willingness and ability to travel internationally for customer engagements”
  • Candidates must be able to work from or regularly support activities in Melbourne, Australia
    — “Ability to work from or regularly support activities in Melbourne, Australia”

How to stand out

  • Highlight specific experience with LVC architectures and simulation interoperability
    — “Familiarity with LVC architectures, simulation interoperability, DIS/HLA”
  • Showcase past work in translating mission needs into solution concepts
    — “Ability to translate customer requirements, mission needs, training objectives”
  • Emphasize experience with AI-enabled synthetic agents and scenario generation
    — “Experience with AI-enabled synthetic agents, computer-generated forces”
Pace · SteadyCollaboration · MediumAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

Skills & requirements

Required

Python

Stack & domain

Modeling And SimulationTraining SystemsTest And EvaluationImage Generation SystemsSynthetic EnvironmentsDefense SoftwareAerospace SystemsSolutions EngineeringSystems EngineeringField Applications EngineeringTechnical SalesCustomer-facingTechnical EngagementProposal EffortsIntegration DiscussionsOperational WorkshopsDefenseSimulationTrainingExperimentationCapability Development

About the role

Original posting from Shield AI via Lever

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

What you'll do::

  • Serve as a customer-facing technical expert for Shield AI simulation, synthetic environment, and AI-enabled mission system capabilities.
  • Support customer discovery, technical briefings, demonstrations, technical interchange meetings, RFIs, RFPs, proposals, white papers, and capture activities.
  • Translate customer mission needs, training objectives, test requirements, CONOPs, and integration considerations into credible solution concepts.
  • Support engagements involving advanced defense simulation, training, test, and evaluation environments across Australia, the Indo-Pacific, AUKUS, and allied markets.
  • Explain image generation systems, synthetic environments, PAIBs, threat models, LVC architectures, sensor simulation, scenario generation, and AI-enabled synthetic agents to technical, operational, commercial, and leadership audiences.
  • Partner with Business Development, Capture, Product, Engineering, Customer Engagement, Program, and technical teams to represent customer requirements, risks, roadmap gaps, and field feedback.
  • Help customers evaluate how advanced simulation and synthetic environments can support operational training, mission rehearsal, test and evaluation, experimentation, force modernization, and AI/autonomy development.
  • Develop technical sales assets, including capability briefs, demo scripts, solution templates, FAQs, white papers, technical explainers, and customer-specific briefing materials.
  • Maintain product truth by ensuring customer-facing materials and discussions accurately reflect current capabilities, constraints, roadmap timing, and integration considerations.
  • Build trusted relationships with customer technical stakeholders, operational users, acquisition stakeholders, regional partners, and internal cross-functional teams.

Required qualifications::

  • 7+ years of experience in modeling and simulation, training systems, test and evaluation, image generation systems, synthetic environments, defense software, aerospace systems, solutions engineering, systems engineering, field applications engineering, technical sales, or related technical customer-facing roles.
  • Direct hands-on experience with advanced defense simulation, training, or test environments, or similar synthetic battlespace ecosystems.
  • Practical experience with image generation systems, platform-in-a-box systems, synthetic environments, threat models, constructive entities, sensor simulation, scenario generation, or live-virtual-constructive environments.
  • Strong understanding of how simulation systems are used for operational training, mission rehearsal, experimentation, test and evaluation, and capability development.
  • Experience supporting customer-facing technical engagements, proposal efforts, integration discussions, technical interchange meetings, or operational workshops.
  • Ability to translate customer requirements, mission needs, training objectives, and technical constraints into feasible solution concepts, requirements, demos, and product feedback.
  • Strong written and verbal communication skills, with the ability to explain complex technical systems to technical, operational, commercial, and leadership audiences.
  • Ability to work cross-functionally with Business Development, Product, Engineering, Customer Engagement, Program teams, technical SMEs, and regional partners.
  • Strong judgment in representing product capabilities, limitations, roadmap dependencies, and integration considerations to customers.
  • Willingness and ability to travel internationally for customer engagements, demonstrations, exercises, and internal meetings.
  • Ability to work from or regularly support activities in Melbourne, Australia.
  • Professional fluency in English.

Preferred qualifications::

  • Experience supporting defense simulation, training, test, or experimentation customers in Australia, the Indo-Pacific, AUKUS, or allied international markets.
  • Experience working with Australian Defence Force, Australian defense industry, government, aerospace, training, simulation, or national security stakeholders.
  • Experience with AI-enabled synthetic agents, computer-generated forces, adversary behavior models, automated scenario generation, or AI-driven entity behavior in simulated environments.
  • Real-world autonomy experience, including autonomous aircraft, unmanned systems, robotics, AI-enabled mission systems, or autonomy software.
  • Familiarity with LVC architectures, simulation interoperability, DIS/HLA, test infrastructure, training range integration, or distributed simulation environments.
  • Hands-on experience with Python, C++, Linux, APIs, SDKs, simulation tooling, visualization systems, autonomy software, robotics middleware, or technical prototyping.
  • Prior military, defense, aerospace, simulation, test, training, robotics, unmanned systems, or advanced software experience.
  • Experience working across varied customer cultures, acquisition processes, operational concepts, and partner ecosystems.

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check.

Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

Source: Shield AI careers (Lever)

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