채용
필수 스킬
Docker
Kubernetes
Git
Azure
Simulation Engineer, Lead
The Opportunity:
You build the synthetic worlds that help warfighters decide faster. As a Lead Simulation Engineer, you’ll fuse Program of Record (PoR) sims, including NGST, AFSIM, AFMSTT, and SAFESIM, with real‑time engines such as Unity and Unreal Engine as well as NVIDIA Omniverse to deliver credible, interoperable LVC environments for Indo‑Pacific missions. You’ll set technical direction, mentor engineers, and partner with operators to turn mission questions into data‑driven outcomes.
What You’ll Work On:
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Lead architecture and technical delivery of mission‑grade simulation solutions spanning AFSIM, AFMSTT, SAFESIM, and NGST and real‑time engines such as Unity, Unreal, and Omniverse, ensuring scale, fidelity, and interoperability.
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Integrate DIS, HLA, TENA, USD, and Omniverse pipelines for multi‑domain LVC exercises, wargames, and operational analysis.
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Translate operational concepts, including CONOPS, TTPs, MOP, and MOE into scenarios, models, and data flows aligned to Indo‑Pacific mission threads.
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Own software quality and implement Dev Sec Ops, CI/CD, automated testing, code reviews, and model validation against ground truth.
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Mentor and grow a high‑performing team to drive backlog, estimation, and delivery against mission milestones.
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Engage with stakeholders across Service components such as air, maritime, cyber, and space to capture needs and demonstrate outcomes.
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Advance performance and realism via GPU acceleration, multi‑node orchestration, and sensor or weapon modeling.
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Support capture and proposals with credible technical volumes, BOEs, and demos that reflect Indo‑Pacific realities.
Join us. The world can’t wait.
You Have:
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Experience with PoR sims such as NGST, AFSIM, AFMSTT, and SAFESIM, including integrating models, scenarios, and data sources
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Experience with Unity and Unreal Engine with C# or C++
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Experience with real‑time or near‑real‑time simulations
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Experience with Git, including GitHub, GitLab, or Azure DevOps, CI/CD, test automation, and containerization such as Docker or Kubernetes
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Experience with modeling and analysis translating operational needs into measurable outcomes such as MOP and MOE, scenario design, and validation
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Knowledge of HLA, DIS, and TENA LVC architectures and gateway translation
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Ability to obtain a TS/SCI clearance
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Bachelor's degree in Computer Science, Engineering, or Applied Mathematics and 2+ years of experience in data engineering, or 5+ years of experience in data engineering in lieu of a degree
Nice If You Have:
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Experience bridging AFSIM with Unity, Unreal, or Omniverse and composing multi‑engine pipelines
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Experience with NVIDIA Omniverse, including USD pipelines, Render and Kit, and Sim Ready assets for collaborative simulation workflows
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Experience with GPU and HPC optimization such as CUDA and multi‑GPU orchestration, physics‑based modeling, or synthetic sensor simulation
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Experience with Agile leadership, including Scrum and Kanban, backlog management, and mentorship of mid‑level engineers
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Experience with Cloud and edge deployment such as AWS, Azure, and Gov Cloud/IL environments, IaC, including Terraform, and secure networking
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Knowledge of RMF or STIG and secure software practices for classified environments
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Knowledge of JADC2, Indo‑Pacific operational context, and mission thread decomposition
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TS/SCI clearance
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Master's degree preferred; Doctorate degree in Engineering or Computer Science a plus
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DoD 8570 Baseline, NVIDIA Omniverse, Unity, or Unreal Certification
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.
- If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
- If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.
Commitment to Non-Discrimination:
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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Booz Allen Hamilton 소개

Booz Allen Hamilton
PublicBooz Allen Hamilton Holding Corporation is the parent of Booz Allen Hamilton Inc., an American company specializing in digital transformation and artificial intelligence.
10,001+
직원 수
McLean
본사 위치
$4.2B
기업 가치
리뷰
3.8
10개 리뷰
워라밸
4.2
보상
2.8
문화
4.3
커리어
2.5
경영진
3.7
72%
친구에게 추천
장점
Supportive management and colleagues
Good work-life balance and flexibility
Diverse and interesting projects
단점
Low or non-competitive compensation
Limited growth and advancement opportunities
Long hours during peak projects
연봉 정보
26개 데이터
Junior/L3
L2
L3
L4
L5
L6
Mid/L4
Senior/L5
Junior/L3 · Data Engineer
1개 리포트
$149,500
총 연봉
기본급
$115,000
주식
-
보너스
-
$149,500
$149,500
면접 경험
7개 면접
난이도
2.7
/ 5
소요 기간
21-35주
합격률
43%
경험
긍정 29%
보통 28%
부정 43%
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Interview
4
Hiring Manager Interview
5
Team Interview
6
Offer
자주 나오는 질문
Technical Knowledge
Behavioral/STAR
Past Experience
System Design
Culture Fit
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