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Temporary Simulation Engineer Jobs (NOW HIRING)

Senior Robotics Engineer - Temp

Mountain View, CA · On-site

$122K - $168K/yr

You will work closely with simulation engineers to align virtual and physical setups, support real-world data collection, and log performance metrics for continuous improvement. This is a temporary ...

Record simulated sessions with subsequent editing and transfer into a temporary format for review and analysis. Assist the Simulation Technology Specialist to maintain an appropriate inventory of ...

Record simulated sessions with subsequent editing and transfer into a temporary format for review and analysis. Assist the Simulation Technology Specialist to maintain an appropriate inventory of ...

Temporary (Fixed Term) Work Shift: Sponsorship Available: No Institution Name: University of ... Simulation, nursing, and/or medical experience is preferred by not required. Job Duties:

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Temporary Simulation Engineer information

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$39K

$123.4K

$190.5K

How much do temporary simulation engineer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for temporary simulation engineer in the United States is $123,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $146,500.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Simulation Engineer jobs? The most popular types of Simulation Engineer jobs are:
Senior Engineer, Radar Modeling & Simulation (Dallas/San Diego) (R4537)

Senior Engineer, Radar Modeling & Simulation (Dallas/San Diego) (R4537)

Shield AI

San Diego, CA • On-site

$105K - $200K/yr

Full-time

Posted 27 days ago


Job description

Founded in 2015, 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 and V-BAT and X-BAT aircraft. 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. 

JOB DESCRIPTION:
The Software Integration & Operations (SIO) group turns frontier autonomy into mission-ready aircraft. We own the commit-to-flight pipeline-deterministic aircraft and mission simulation, HIL/VIL integration, CI/CD, automated flight qualification testing, and release engineering. Our goal is simple: make AI fly-safely, repeatably, and fast.  
 
As a Modeling & Simulation Engineer, you will be responsible for improving and adding to our sensor and communications model suite so that our operator training and internal engineering pipelines have a seamless translation from sim to real results.  
 
What You'll Do
  • Develop and enhance radar sensor models for use in simulation and evaluation of aeronautical vehicles. 
  • Translate theoretical models into efficient, reliable C++ implementations with a focus on numerical accuracy and performance. 
  • Validate models against real-world data and authoritative references, including field test data and calibration procedures. 
  • Collaborate with simulation and training application teams to ensure models integrate cleanly into operator-facing tools. 
  • Design automated validation and regression testing strategies for mathematical models to ensure fidelity across releases. 
  • Prototype and evaluate new modeling techniques (reduced-order models, uncertainty quantification, machine learning-based surrogates) to push the state of the art. 
  • Document assumptions, equations, and validation results so that both engineers and operators can trust model outputs. 
Required Qualifications
  •  BS or higher in Aerospace Engineering, Applied Math, Physics, or related field with 5+ years of aerospace modeling experience. 
  • C++ foundation with experience implementing numerical methods. 
  • Demonstrated experience with aerospace models such as: Radar sensors, Radio communications systems 
  • Experience validating simulations against real-world or experimental data. 
  • Ability to write clear documentation explaining assumptions, limitations, and expected behaviors of models. 
  • Ability to obtain a S//SAR level security clearance desired.
 
Preferred Qualifications
  • 1+ years of experience working on pilot/operator training systems. 
  • Experience with Eigen or SciPy for model prototyping and validation. 
  • Familiarity with state estimation sensor models (GPS, IMU, Gyro, etc) for simulation environments. 
  • Demonstrated experience with payload sensor models including: Laser senros, IR and optical cameras
  • Knowledge of uncertainty quantification and statistical analysis methods. 
  • Experience with parallelization or GPU acceleration for compute-heavy models. 
  • Strong problem-solving mindset with a collaborative and detail-oriented approach. 
  • Familiarity with Python for test automation and data analysis pipelines. 
  • Passion for aerospace and autonomous vehicle systems. 
$105,000 - $200,000 a year
#LI-SM1

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
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. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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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, color, 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. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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