Staff Engineer, Software Systems Test (R2925)

shieldai
Dallas, Texas
On-site
Full-time
USD 131156-196734 per-year-salary
Posted over 1 year ago
Aircraft Division

Job Description

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine offices and facilities across the U.S., Europe, the Middle East, and the 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
The Aircraft Software Test & Automation team is an ambitious, driven group of engineers focused on testing complex aircraft software integrated onto vehicles and various hardware systems. The team is a cross-discipline group of test engineers, software developers, embedded engineers, and more; working closely with our Embedded, GNC (Guidance, Navigation & Controls), and System Test teams, the Software Test & Automation team is chartered to provide (1) rigorous, but fast testing and (2) an advanced & robust test infrastructure for all aircraft software. Shield AI is building groundbreaking autonomous aircraft technologies, this team provides the complex testing & innovative capabilities required to get us there.

As a Software Systems Test Engineer on the team, you will be pivotal in driving integration testing of our full aircraft software system, integrating our autonomy, flight controller, and GCS software to qualify an intelligent, robust aircraft system. This role demands an engineer capable of overseeing system-level verification and validation, designing complex test scenarios, and ensuring that subsystem testing meets rigorous standards before proceeding to full system integration. You will marshal our aircraft software through full system verification & validation. Your work will directly impact the reliability and performance of our aircraft, preparing them for operational excellence in the field.

REQUIRED QUALIFICATIONS:

  • Excellent proficiency in testing complex integrated software systems, preferably for robotics or vehicles. Demonstrated ability to design and execute elaborate test cases. 
  • Excellent analytical skills and ability to synthesize complex data into conclusions & actionable plans. Demonstrated ability in coding analyzers to automate evaluation of test data, using python and common industry tools to do so. 
  • Demonstrated expertise & experience in test automation, minimally writing software to automate testing, preferably leveraging simulation for automated integration testing.   
  • Strong experience with the software product development lifecycle, ideally for autonomy or vehicle systems. 
  • Strong mathematical background, capable of understanding software models describing aircraft physics and flight control algorithms 
  • Solid technical expertise in software development, especially in C++ and Python, including tools like Docker, CI/CD pipelines, and Artifactory 
  • Great understanding of system architecture, requirement derivation, and test planning across the Systems Vee model 
  • Experience producing high-quality technical documentation, including test plans, quality-assurance reports, and operational procedures  
  • Demonstrated track record of assuming ownership over development processes and features and delivering outstanding outcomes   
  • Proven track record of successfully shipping products, showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions to meet project deadlines and exceed expectations in a fast-paced environment   
  • B.S., M.S, PhD degree in Systems Engineering, Software Engineering, Computer Science or STEM (Science, Technology, Engineering, or Mathematics) discipline, such as Aerospace, Mechanical, or Electrical Engineering.  
  • Optimally with 6-7+ years of real word experience.

PREFERRED QUALIFICATIONS:

  • Experience with autonomous or robotic systems. 
  • Experience with simulation software and hardware emulation. 
  • Background in a fast-paced, R&D or startup environment. 
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. 

Requirements

REQUIRED QUALIFICATIONS:

  • Excellent proficiency in testing complex integrated software systems, preferably for robotics or vehicles. Demonstrated ability to design and execute elaborate test cases. 
  • Excellent analytical skills and ability to synthesize complex data into conclusions & actionable plans. Demonstrated ability in coding analyzers to automate evaluation of test data, using python and common industry tools to do so. 
  • Demonstrated expertise & experience in test automation, minimally writing software to automate testing, preferably leveraging simulation for automated integration testing.   
  • Strong experience with the software product development lifecycle, ideally for autonomy or vehicle systems. 
  • Strong mathematical background, capable of understanding software models describing aircraft physics and flight control algorithms 
  • Solid technical expertise in software development, especially in C++ and Python, including tools like Docker, CI/CD pipelines, and Artifactory 
  • Great understanding of system architecture, requirement derivation, and test planning across the Systems Vee model 
  • Experience producing high-quality technical documentation, including test plans, quality-assurance reports, and operational procedures  
  • Demonstrated track record of assuming ownership over development processes and features and delivering outstanding outcomes   
  • Proven track record of successfully shipping products, showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions to meet project deadlines and exceed expectations in a fast-paced environment   
  • B.S., M.S, PhD degree in Systems Engineering, Software Engineering, Computer Science or STEM (Science, Technology, Engineering, or Mathematics) discipline, such as Aerospace, Mechanical, or Electrical Engineering.  
  • Optimally with 6-7+ years of real word experience.

PREFERRED QUALIFICATIONS:

  • Experience with autonomous or robotic systems. 
  • Experience with simulation software and hardware emulation. 
  • Background in a fast-paced, R&D or startup environment. 

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