Software Test Automation Engineer (R4719)
Shield AI is hiring a Software Test Automation Engineer (R4719) in Dallas, United States. It pays $95k-$200k a year and Level rates it ; you can apply on Shield AI.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Level classifies it as a senior role.
- Level lists 659 other open roles at Shield AI.
AI in this role
Shield AI has been redefining autonomous aviation with cutting-edge AI and GPS/RF-denied navigation technologies for the past few years. We’re looking for a software engineer, well versed in development and testing, to help continue building V-BAT's test operations, specifically automation capabilities and tools used to test software components ranging from autonomy, embedded systems, ground control applications, and more - you will gather requirements and write software to automate them.
WHAT YOU'LL DO:
- Work directly with our GNC and Embedded teams daily to build software that leverages simulation, avionics, and/or custom hardware to automate testing
- Define test cases to verify and validate embedded or GNC software at a system level, automating them to run continuously
- Implement software interfaces and drivers to orchestrate simulation environments, hardware devices, and test equipment – enabling real-world behaviors, failure injection, and hardware manipulation for various test scenarios
- Quickly prototype solutions using software & hardware to unblock testing, harden your prototype into scalable products for continuous release testing
- Support release test planning and execution leading up to flight test events and major product milestones
REQUIRED QUALIFICATIONS:
- Senior: Bachelor’s degree with 5+ years of relevant experience, or Masters with 4+ years, or PhD with 2+ years.
- Staff: Bachelor’s degree with 7+ years of relevant experience, or Masters with 6+ years, or PhD with 4+ years.
- Senior Staff: Bachelor’s degree with 10+ years of relevant experience, or Masters with 9+ years, or PhD with 7+ years.
- Strong Python skills
- Familiarity with common version control (git) and build/packaging systems (CMake, Poetry, etc)
- Passion for growth, fast-paced environments, and holding self to a high standard of excellence
PREFERRED QUALIFICATIONS
- 5+ years of related experience building automated test solutions
- Experience building automated test solutions for aircraft of autonomous vehicles
- Experience in automated testing, bare-metal firmware development, or simulation tooling
- Ability to obtain security clearance
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. ### 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.
How we rate this
Software Test Automation Engineer (R4719) at Shield AI rates 14 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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