AmazonSoftware Development Engineer, OneMHS
Amazon is hiring a Software Development Engineer, OneMHS in Bellevue, United States. It pays $144k-$194k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Builds AI ●●●● is how Level rates this software engineer role: the job is building AI systems.
- Tools and skills the posting cites include Linux, Python and computer vision.
- Level classifies it as a senior role.
- Level lists 21,000+ other open roles at Amazon.
- The role was posted within the past week.
AI in this role
Build and scale edge machine learning compute, equipment monitoring, and computer vision capabilities for fulfillment networks.
Our landscape is global and complex, spanning diverse software systems, industrial machines, and protocols. We continuously innovate on behalf of the customer by building custom hardware and software technology solutions.
As a lead on this team, you will develop edge-based solutions where the cloud meets the real world in the heart of our fulfillment centers. Your work will span multiple layers of the stack from low-level embedded Linux control systems to cloud-based platforms that interface with and manage fleets of real-world devices. You will collaborate closely with an inter-disciplinary team and external partners to drive product definition, execution, and testing.
Key job responsibilities
* Evolve our internal ML experimentation platform to support edge deployment workflows across Amazon's warehouse network
* Build and maintain edge services managing camera fleets at scale, including telemetry infrastructure and data pipelines for OEE analytics
* Collaborate with cross-functional teams — hardware, operations, applied science — to ship new capabilities
* Mentor junior engineers and help shape the team's engineering culture
A day in the life
On a typical day as an OneMHS SDE, you might:
* Experiment with state-of-the-art Computer Vision models to enable new science capabilities
* Unify and clarify conflicting OEE metrics, negotiating and investigating with partners
* Debug why an ML inference pipeline is dropping frames on a specific edge device
* Prototype a new telemetry dashboard to surface machine health across hundreds of sites
* Review a teammate's PR for a new device provisioning workflow
About the team
We're the Science and Software team within OneMHS (Material Handling Systems). We're building the foundation for next-generation ML, computer vision, and AI applications for Amazon's material handling systems — combining expertise in distributed systems, industrial automation, cloud architecture, and machine learning to deliver solutions that impact millions of customers daily.
Basic qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
Preferred qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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, MA, Boston - 143,700.00 - 194,400.00 USD annually
USA, WA, Bellevue - 143,700.00 - 194,400.00 USD annually
How we rate this
Software Development Engineer, OneMHS at Amazon rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● 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
Also common in software engineer jobs at this level
Pay
- This job starts at
- $144k
- Typical software engineer job
- $168k
This posting starts 14% below the typical software engineer job. See software engineer jobs
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 machine learning was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where edge computing was part of your work. What did you do?
- Walk me through how you've used Linux in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Computer vision, Machine learning, Distributed Systems, Edge Computing, and Linux. 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.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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