About this opportunity
Shield AI lists this Manager, Simulation Engineering (R4870) opportunity in dallas, Texas. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Job Description
As the VBAT Simulation Lead, you will be responsible for improving and scaling our simulation capabilities for the V-BAT and future aircraft. You will design, resource, manage, build and integrate tooling across our various engineering teams (e.g. Aerodynamics, GNC, Propulsion, etc.) to enable efficient and scalable simulation workflows. Your simulation solutions will be a key development tool for other engineers and also a critical gate in our release process.
What you'll do
Work with tech leads and stakeholders to design, track, and report simulation roadmaps and release plans.
Align needs and priorities across many teams and disciplines.
Hire and manage a team of specialized simulation engineers across multiple locations.
Collaborate with cross-functional teams, including software engineers, autonomy engineers, and aerodynamics engineers, to ensure the simulation accurately reflects real-world conditions.
Create and maintain processes and workflows to build confidence in simulation tooling to both internal and external customers.
Stay updated with the latest advancements in simulation technologies and drive best practices across the team.
Build and maintain documentation and dashboards to quickly provide data and status to leadership.
Required qualifications
BS in Computer Science or related engineering field with 8+ years of professional experience.
3+ years of experience leading engineering teams or projects.
Passion for simulation and testing with the goal of ensuring safety and reliability at scale.
A proven track record of working with multiple stakeholder groups and managing clear and successful roadmaps.
Strong foundation in C++ and software architecture.
Foundational knowledge of statistics and its application in software development, testing, and data analysis.
Solid understanding of mathematics (especially linear algebra) and foundational physics, with the ability to interpret technical papers and algorithms effectively.
Preferred qualifications
Experience with Docker, Kubernetes, and/or containerized application development.
Familiarity with rigid body dynamics (e.g. Euler’s equations, quaternions), aerodynamics, propulsion systems, etc.
Experience with Python 3 and data science frameworks (e.g. NumPy, Pandas, Dagster).
Experience with robotics concepts, including node-based architectures such as ROS or similar middleware frameworks.
$160,000 - $240,000 a year
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.
Equal Opportunity Employer
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.
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Worksite address
dallas, TX, 75215, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.