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... data analysis , simulation, and developing modeling algorithms Lead and coordinate simulation efforts between internal teams and outside vendors to develop optimal solutions for the network ...
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Design, analyze, implement, and revise the software design and programming of mathematical models ... Develop and implement simulation architectures and models suitable for real-time software-in-the ...
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... model looks like, then own the integration, optimization, and validation within our simulation framework. The cycle is: analyze the gap, understand the domain, engineer the solution into the ...
... model looks like, then own the integration, optimization, and validation within our simulation framework. The cycle is: analyze the gap, understand the domain, engineer the solution into the ...
Modeling Simulation Analyst information
See Seattle, WA salary details
$44.4K - $55.2K
6% of jobs
$55.2K - $66.1K
2% of jobs
$66.1K - $77K
12% of jobs
$77K - $87.8K
4% of jobs
$88.3K is the 25th percentile. Wages below this are outliers.
$87.8K - $98.7K
18% of jobs
$98.7K - $109.6K
3% of jobs
The median wage is $116.5K / yr.
$109.6K - $120.4K
7% of jobs
$120.4K - $131.3K
7% of jobs
$131.3K - $142.2K
12% of jobs
$144.7K is the 75th percentile. Wages above this are outliers.
$142.2K - $153K
15% of jobs
$153K - $163.9K
14% of jobs
$44.4K
$115.2K
$163.9K
How much do modeling simulation analyst jobs pay per year?
What are the key skills and qualifications needed to thrive as a Modeling Simulation Analyst, and why are they important?
How does a Modeling Simulation Analyst typically collaborate with cross-functional teams during a project?
What are Modeling Simulation Analysts?
What is the difference between Modeling Simulation Analyst vs Data Analyst?
| Aspect | Modeling Simulation Analyst | Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's or master's in engineering, computer science, or related fields; proficiency in simulation software | Bachelor's in statistics, mathematics, or related fields; proficiency in data analysis tools |
| Work Environment | Engineering labs, simulation centers, or technical departments | Office settings, data centers, or business environments |
| Employer & Industry Usage | Manufacturing, aerospace, defense, or engineering firms | Finance, healthcare, marketing, or business sectors |
| Common Search & Comparison | Yes | Yes |
The Modeling Simulation Analyst focuses on creating and analyzing simulations to predict system behaviors, often requiring engineering or technical expertise. In contrast, Data Analysts interpret data sets to inform business decisions, typically using statistical tools. While both roles involve data handling, the Modeling Simulation Analyst emphasizes modeling complex systems, whereas Data Analysts focus on data interpretation for strategic insights.
Full-time
Re-posted 23 days ago
Anduril rating
9.4
Anduril
Based on 7 frontline employees who took The Breakroom Quiz
7.4
Manufacturers average
Based on 71,359 frontline employees who took The Breakroom Quiz
Job description
ABOUT THE TEAM
Anduril's TRS Simulation team owns the ecosystem, frameworks, and guidance that make simulation possible, repeatable, and scalable across the Tactical Recon & Strike business line. We don't just run sims, we define what it means for a simulation to be trustworthy. Our team operates across four pillars: Sim Infrastructure, Sim Fidelity, Sim Integrations, and Training Simulations, supporting products like Altius, Ghost, Bolt, and Anvil from early development through field deployment. Every fidelity improvement, every validated model, and every simulation environment we deliver directly determines whether autonomous systems are ready to fly real missions.
Our vision is one simulation framework that serves every product and every deployment target, from a developer's laptop through CI pipelines, operator training environments, and large-scale HPC Monte Carlo campaigns. The same declarative workspace definition can be composed, extended, and deployed wherever simulation is needed, so teams spend their time on mission problems instead of reinventing infrastructure.
THE ROLE
This role is for someone who loves going deep on a problem. You'll identify where simulated components diverge from real-world behavior at the system level, work with our functional teams who own those subsystems to understand what a better model looks like, then own the integration, optimization, and validation within our simulation framework. The cycle is: analyze the gap, understand the domain, engineer the solution into the framework, and prove the fidelity improvement with data. The problems are genuinely complex, multi-physics, multi-rate, spanning both real-time and faster-than-real-time execution for large-scale Monte Carlo campaigns, and the feedback loop is measured in months, not years: your improvements are validated against real flight data and deployed to operational systems on a cadence that keeps pace with product development.
You are expected to quickly develop working knowledge of the domains you touch (sensors, comms, navigation, environment, autonomy interfaces) and become an effective partner to our teams that own those subsystems. You'll care about performance characteristics, numerical stability, integration correctness, and building the validation tooling that makes fidelity measurable and repeatable. Whether your background is in industry or academia, what matters is demonstrated depth of ownership over complex software systems and the ability to pick up new domains and deliver reliable, performant software within them. You will own your solutions from design through delivery and long-term maintenance, with the support and collaboration of our team behind you. At the senior level, we expect you to operate across the full breadth of the simulation stack and help shape our team's technical direction.
WHAT YOU'LL DO
- Analyze simulated subsystems within the framework to identify where system-level behavior diverges from real-world data, quantifying gaps and their downstream impact on simulation trustworthiness.
- Partner with functional engineering teams (flight dynamics, perception, guidance, comms) who own subsystem models to understand requirements, integrate their higher-fidelity models into the simulation framework, and validate the integration through statistical analysis.
- Engineer framework-level solutions that enable higher-fidelity models to run efficiently, addressing performance constraints, timing coordination, and numerical integration concerns.
- Build and maintain validation tooling and benchmarks that make fidelity measurable: automated comparison against real-world data, regression detection, and acceptance threshold enforcement.
- Design and run Monte Carlo validation campaigns to verify that fidelity improvements hold across parameter sweeps and edge cases, not just nominal conditions.
- Work across faster-than-real-time simulation and software-in-the-loop (SITL) environments, understanding the performance and fidelity trade-offs at each tier.
- Identify opportunities where industry-standard or academic approaches could improve our simulation strategy, and coordinate with the appropriate domain teams to evaluate and adopt them.
- At the senior level: drive cross-cutting fidelity strategy across the simulation stack, mentor other engineers, and represent the fidelity team's technical perspective in cross-functional design reviews.
- Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, or a related field.
- At least 3+ years of professional software engineering experience with a systems language (C++, Rust) and an analysis/scripting language (Python, MATLAB).
- Experience with performance analysis and optimization of complex software systems (profiling, bottleneck identification, latency reduction, computational efficiency).
- Comfort with numerical and scientific computing concepts (integration methods, statistical analysis).
- Demonstrated ability to take deep ownership of a system end-to-end: understand it, identify problems, design solutions, implement them, and validate the results with data.
- Experience building or maintaining automated test/validation infrastructure that enforces correctness over time.
- Track record of working effectively across team boundaries, particularly with domain experts whose systems you need to understand and integrate with.
- Ability to quickly understand and navigate complex systems and established code bases.
- A desire to work on critical software that has a real-world impact.
- Eligible to obtain and maintain an active U.S. Secret security clearance.
Additional for Senior candidates:
- 5+ years of professional software engineering experience.
- Experience driving technical strategy and making architectural decisions that affect multiple teams or systems.
- Track record of mentoring engineers and raising the bar for engineering practices within a team.
- Master's degree or PhD in a relevant field.
- Experience working with simulation frameworks, game engines, physics engines, or real-time systems.
- Experience with Monte Carlo methods, parameter sweeps, or statistical validation campaigns.
- Familiarity with flight dynamics, control systems, sensor modeling, or other aerospace-adjacent domains (even at a high level).
- Experience with modern build and deployment tooling (Nix, Docker, CI/CD systems).
- Background in academic research or computational science with a transition (or desire to transition) into applied software engineering.
- Experience with data pipelines for comparing simulation output against real-world reference data.
- Familiarity with HPC environments (SLURM, containerized workloads, cluster computing).
- A bias toward rapid delivery and iteration.
US Salary Range
$166,000-$220,000 USD
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:
Benefits
At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.
Protecting Yourself from Recruitment Scams
Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.
To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:
- No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
- Please always verify communications:
- Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.
- Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.
- Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
- What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.
Data Privacy
To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.
By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Working at Anduril
About Anduril Industries
Sourced by ZipRecruiter
Anduril Industries is a trailblazer in the technology industry based in Costa Mesa, CA, US. Founded in 2017 by Palmer Luckey, the creator of Oculus VR, the company focuses on developing innovative technology to equip and empower those in the defense sector. Its primary products include cutting-edge autonomous systems and AI software that assist in combating threats to national and global security. The mission of Anduril Industries is to integrate technology and defense by building transformative, scalable solutions that ensure a safer world.
Industry
Guided missile and space vehicle manufacturing
Company size
501 - 1,000 Employees
Headquarters location
Costa Mesa, CA, US
Year founded
2017