Sr. Hardware Engineer, PSO, Amazon Prime Air, Amazon Prime Air
Amazon is hiring a Sr. Hardware Engineer, PSO, Amazon Prime Air, Amazon Prime Air in Seattle, United States. It pays $137k-$186k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- Level classifies it as a senior role.
- Level lists 21,000+ other open roles at Amazon.
AI in this role
Amazon Prime Air (PA) is seeking a Product Support Engineering (PSO) Service Engineer to drive integration with the Amazon fulfillment networks and investigate issues to drive improved reliability within our ultra-fast drone delivery operations.
This role will be responsible for ensuring a high degree of technical reliability within drone operation for Amazon fulfillment networks, working closely with design engineering staff and powering a flywheel of continuous improvement in the drone system. Partnering with the drone system operations and various engineering disciplines, you will provide engineering analyses and solutions to improve the system reliability and performance. A successful candidate will leverage data-driven insights to identify opportunities and lead implementation of system improvements.
This role is a core member of the Product Support Organization (PSO) Engineering team, serving as a the first line liaison between operator/maintainer experiences and design engineering improvements or mitigations. In this position, you will bring a unique perspective informed by direct operational data and customer feedback to spearhead system improvements, and address engineering problems discovered in the field. Strong cross-functional engineering fundamentals (mechanical, electrical, software development basics) skills are essential, as well as strong technical communication and documentation skills. Your ability to translate complex system functions into digestible insights and summarize effectively with stakeholders at all levels will be critical to success in this role.
This position may require a deemed export control authorization for compliance with applicable laws and regulations. Placement is contingent on Amazon’s ability to apply for and obtain an export control license on your behalf.
Key job responsibilities
- Investigate drone system performance for anomalies, deliver solutions to operations and maintenance team escalations
- Lead cross-functional system investigations with engineering, maintenance, and operations teams to optimize drone system performance metrics, and drive improvements
- Develop innovative hardware designs for our emerging drone systems and improve existing hardware to optimize performance and enhance customer experience
- Drive continuous improvement initiatives using data-driven insights to establish benchmark standards and reduce operational burdens
- Work with the Operations, Manufacturing, Supply Chain and Quality organizations as well as vendors to ensure a smooth product launch and sustaining
- Develop and maintain documentation for technical procedures
- Communicate effectively across all organizational levels, presenting strategies and results to senior leadership and operational partners
Basic qualifications
- Bachelor's degree in mechanical engineering or equivalent
- 7+ years of engineering experience
- Experience in the design of complex mechanical products and equipment at volume
Preferred qualifications
- Master's degree in mechanical engineering or equivalent
- Experience in a fast paced, dynamic organization
- Experience communicating technical concepts and processes using clear, simple language and visuals
- Experience working effectively across cross-functional teams and partnering well with people at all levels within an organization
- Experience that includes strong analytical skills, attention to detail, and effective communication abilities
- Hands on experience crafting proof-of-concept models and prototypes
- Experience with full product lifecycle and proficiency at completing tasks to meet milestones
- CATIA or similar CAD experience, understanding of best practices for part design, advanced assemblies and complex configuration management
- Experience in the design, testing, and sustaining of mechanical equipment
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 137,300.00 - 185,700.00 USD annually
How we rate this
Sr. Hardware Engineer, PSO, Amazon Prime Air, Amazon Prime Air at Amazon rates 36 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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