Skip to content
CV Rocket
Get me interviews
How it worksThe enginePricingBlogContactSign in

Open nowPosted 35 days ago

Space Systems Modeling and Analysis Engineer

Amazon / AWS22,534 open roles

Pay
$129,200 – $174,800 a year
Where
Northridge, California, United States
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSpace Systems Modeling and Analysis EngineerAmazon / AWS · Northridge, California, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Amazon / AWS's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.4% of postings close within 7 days. Measured by our own scanner across the market. Amazon / AWS postings stay open a median of 2 days.

Share of postings closed within
  1. 1.5%1 day
  2. 3.5%3 days
  3. 7.4%7 days
  4. 13.2%14 days
  5. 34.5%30 days
This job: posted 35 days ago

Amazon / AWS median: 2 days open

The posting

We are seeking a Space Systems Modeling and Analysis Engineer to develop and deploy high-fidelity computational models of multi-orbit space architectures supporting satellite communications (SATCOM), navigation warfare (NAVWAR), space-based sensing and targeting (SBST), and missile warning and tracking (MWT) missions. In this role, you will build fast, parallelizable simulations of proliferated constellations across LEO, MEO, and GEO. You will model space-to-space crosslinks, space-based RF and EO/IR sensors, as well as ground segment architectures. You will perform constellation-level operational availability analysis that goes beyond link coverage to account for real-world operational impacts such as downtime due to routine on-orbit maintenance, ground gateway availability, and disturbances from both ground- and space-based threats. You will support trade studies on constellation design, link budgets, timing architectures for alternative positioning/navigation/timing (Alt-PNT) frameworks, and sensor coverage geometries. Your work will directly inform architecture decisions that ensure resilient space systems in contested and degraded environments.

Key job responsibilities - Develop, validate, and maintain high-fidelity models of multi-orbit constellations (pLEO, MEO, GEO) for SATCOM, NAVWAR, SBST, and MWT mission areas - Design and execute large-scale, parallelizable simulations to evaluate constellation performance, coverage, and resilience under nominal and degraded conditions - Perform trade studies and sensitivity analyses on constellation design parameters, sensor geometries, and network topologies - Model ground segment architectures including radar systems, ground entry points, and ground-based command and control infrastructure - Model space-based threats including maneuverable satellites, counter-space systems, and electromagnetic warfare effects on space architectures - Model Alt-PNT frameworks including timing budget analysis and navigation warfare scenarios - Analyze Space Data Network (SDN) architectures including space-to-space crosslinks, exchange points, and network service orchestration - Develop sensor performance models for multi-phenomenology detection (infrared, radar) across missile warning and moving target indication missions - Support architecture decisions by quantifying system resilience, capacity, and performance under adversarial conditions - Produce technical documentation, trade study reports, and briefings for engineering and program leadership - Collaborate with systems engineers, mission architects, and government stakeholders to translate operational requirements into simulation parameters

Export Control : This position requires that the candidate selected be a U.S. Citizen in order to comply with U.S. government-imposed requirements related to the nature of the work and/or where it will be performed.

This position requires that the candidate selected be a US Citizen and candidates must be able to obtain and maintain a US Government security clearance of TS/SCI.

- Bachelor's degree in a STEM discipline - 3+ years of experience developing physics-based models and simulations of space systems (orbital mechanics, constellation design, RF link analysis, or sensor coverage) - Experience modeling systems across multiple orbital regimes (LEO, MEO, GEO) - Proficiency in MATLAB, Python, or C++ for numerical modeling and data analysis - Demonstrated experience with parallelizable or high-performance computing approaches for large-scale simulations - U.S. citizenship and ability to obtain/maintain a security clearance

- Master's or Ph.D. in Aerospace Engineering, Astrodynamics, Applied Physics, or related field - Familiarity with SATCOM network modeling, including link budgets, spectrum management, and mesh network topologies - Familiarity with resilient constellation design principles including proliferated architectures, self-healing networks, and degradation analysis - Knowledge of space domain awareness, conjunction assessment and mitigation - Experience with Alt-PNT framework modeling and timing budget analysis - Experience with ground-based and space-based threat characterization (counter-space systems, maneuverable satellites) - Experience modeling missile warning/tracking sensor architectures, including multi-phenomenology detection and infrared sensor performance - Experience with moving target indication (MTI) or kill-chain closure modeling - Proficiency with simulation frameworks such as STK, GMAT, or custom Monte Carlo engines - Experience with parallel computing libraries

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, El Segundo - 129,200.00 - 174,800.00 USD annually USA, CA, NORTHRIDGE - 129,200.00 - 174,800.00 USD annually

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Amazon / AWS's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Amazon / AWS's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Amazon / AWS's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.