Staff Engineering Specialist, Avionics (R5109)

Shield AI is hiring a Staff Engineering Specialist, Avionics (R5109) in Seattle, United States. It pays $33-$50/hr 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 lead role.
Level lists 664 other open roles at Shield AI.

AI in this role

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, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. 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: We are growing the Avionics Engineering team to support development of the X-BAT aircraft. Our team is designing a flight critical, custom avionics system to support communications, compute, AI, power, telemetry, and all other needed aircraft systems. An Avionics Specialist supports the entire Avionics team and other cross-functional teams. It is an essential role spanning design, verification, procurement, manufacturing, and test.

What you'll do:

Set up and execute test campaigns for custom circuits and sub-systems such as verifying logic levels, voltage rails, and basic circuit functions
Support engineers through environmental qualification that includes temperature, vibration, altitude, humidity, etc.
Debug and root cause system and circuit issues
Design, verify, and deploy simple PCBAs
Architect, design, and build complex wire harnesses and cable assemblies
Assist with equipment procurement, set up lab space, and help set up prototype avionics manufacturing
Capture results detailed and clear documentation

Required qualifications:

2+ years' experience working in an electrical engineering environment and using test equipment such as an oscilloscope, multimeter, thermal chamber, etc.
Proficiency reading electrical circuit schematics and applying them to root cause analysis
Hands-on experience with harness design and build
Familiarity with CAD software such as Altium or equivalent
Familiarity with a PLM system such as Arena or equivalent
Ability to work independently and lead in fast-paced, cross-functional teams
A demonstrated record of working hard, being trustworthy, holding yourself to high standards, and being kind to others
Ability to obtain a S//SAR level security clearance desired.

#LI-JM2 #LC
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

Staff Engineering Specialist, Avionics (R5109) at Shield AI rates 34 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.

Classification

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.