AmazonSr. Perception Systems Engineer, Prime Air
Amazon is hiring a Sr. Perception Systems Engineer, Prime Air in Seattle, United States. It pays $151k-$205k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Radar, Computer vision and systems engineering.
- Level classifies it as a senior role.
- Level lists 20,000+ other open roles at Amazon.
AI in this role
Amazon Prime Air is hiring a Senior Perception Systems Engineer to oversee hardware and software integration for drone vision systems.
Come work on the Amazon Prime Air Team!
Check out more information about Prime Air on the About Amazon blog: https://www.aboutamazon.com/news/tag/drone
Amazon Prime Air (PA) is seeking a Sr. Systems Development Engineer to oversee the development hardware and software integration within our revolutionary perception systems that enable drones to see, understand, and navigate the world around them
This role will be responsible for ensuring high standards for certifying safety-critical software and hardware in airborne systems, working closely with design engineering staff powering a flywheel of continuous improvement in drone software design.
Partnering with the drone system development and various engineering disciplines, you will oversee development, verification, configuration management, and quality assurance to ensure compliance to Design Assurance Levels and software development standards. Strong cross-functional engineering fundamentals skills are essential, as well as strong technical communication and documentation skills. Your ability to translate complex perception system functions into digestible insights and summarize effectively with stakeholders at all levels will be critical to success in this role.
See your work literally take flight and make history in autonomous aviation
If you're passionate about building perception systems that enable machines to understand and navigate the world safely, we want to talk to you.
This position may require a deemed export control license 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
What you'll do:
Translate complex operational requirements into detailed system and subsystem specifications for our vision-based perception systems
Bridge the gap between perception algorithms (computer vision, radar processing, ML) and their integration with the broader flight control and autonomy stack
Develop comprehensive requirements documentation that meets aviation certification standards while enabling rapid innovation
Collaborate with cross-functional teams (ML engineers, computer vision specialists, hardware engineers) to design and validate perception system architectures
Lead technical reviews to ensure perception systems meet performance, safety, and reliability requirements
Drive continuous improvement in how we develop and certify perception systems for autonomous flight
Key job responsibilities
- Oversee software development, verification, configuration management, and quality assurance to ensure compliance to Design Assurance Levels and software development standards
- Communicate effectively across all organizational levels, presenting strategies and results to senior leadership and operational partners
Basic qualifications
- Experience in translating business needs into detailed feature requirements
- Experience with concepts such as system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, and decision making
- Experience planning, executing, and documenting verification activities that demonstrate correct and safe system behavior across nominal, off-nominal, and edge-case scenarios.
- Experience evaluating machine-learning systems, particularly for computer vision systems or autonomy.
Preferred qualifications
- Experience in creating process improvements with automation and analysis
- Knowledge of software test techniques and strategy
- Experience in Systems engineering, site reliability engineering, building and operating systems at scale
- Experience with autonomous perception systems, computer vision, or sensor fusion in safety-critical applications
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 - 151,200.00 - 204,600.00 USD annually
How we rate this
Sr. Perception Systems Engineer, Prime Air at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● 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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- Tell me about a project where systems engineering was part of your work. What did you do?
- Tell me about a project where hardware software integration was part of your work. What did you do?
- Tell me about a project where safety critical software was part of your work. What did you do?
- Walk me through how you've used Radar in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Computer vision, Systems Engineering, Hardware Software Integration, Safety Critical Software, and Radar. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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