Software Development Manager, Amazon Robotics
Amazon is hiring a Software Development Manager, Amazon Robotics in Bellevue, United States. It pays $185k-$250k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- Tools and skills the posting cites include computer vision.
- Level classifies it as a senior role.
- Level lists 20,000+ other open roles at Amazon.
- The role was posted within the past week.
AI in this role
To do that at scale, we're building physical AI that runs at the edge: software that sees, reasons and acts on the machine itself, in real time. Computer vision and machine learning on edge compute verify items, select the right box and catch defects before a package leaves the station. The same systems watch the machines themselves. They track throughput, jam rates, sensor and actuator signals, and vision-model accuracy, so we know which machines are healthy, which are degrading and why.
When something goes wrong, our systems should spot it first, diagnose it and guide the fix. That means turning machine telemetry into clear, step-by-step guidance for associates and Reliability Maintenance Engineering (RME) technicians, so they can restore a machine in minutes instead of hours. Every failure feeds back into our models and designs, so a fault fixed once at one site helps prevent it at every site. The hard part is doing this across a large, mixed fleet, with low latency on the floor and consistent quality everywhere.
A day in the life
1) Lead, hire and grow a team of software engineers
2) Own the roadmap for software that runs pack machines, stations and robotic workcells
3) Integrate computer vision, sensors and robotics into reliable real-time systems
4) Turn every failure into fleet-wide improvements to models, designs and runbooks
5) Solve optimization problems in packaging selection, workload balancing and throughput
6) Drive operational excellence: safe deployments, fast mitigation, root-cause COEs
7) Launch new robotics and automation into live fulfillment sites
8) Work backwards from associates, RME, site leaders and end customers
Influence partner teams across hardware, science, operations and product
About the team
Our team knows fulfillment end to end. We understand how an order moves through Amazon's network around the world, from inbound to the moment a package leaves the building. That broad view lets us make good decisions quickly and see how a change at one pack station affects the rest of the network.
We have a strong bias for action, backed by mechanisms that keep us focused on delivering. We don't let obstacles stop us. When we hit a blocker, we treat it as something to learn from, work through it and keep moving. That's the attitude we bring every day: we get results, whatever the challenge.
Basic qualifications
- 3+ years of engineering team management experience
- 7+ years of engineering experience
- 8+ years of leading the definition and development of multi tier web services experience
- 1+ years of providing technical leadership and project management for all aspects of the software development lifecycle experience
- 1+ years of developing large-scale, multi-tiered distributed software systems using Java, C#, or C++ experience
- 1+ years of developing large-scale, multi-tiered distributed software systems using service-oriented architecture experience
- 1+ years of developing large-scale, multi-tiered distributed software systems using distributed programming experience
- 5+ years of Software Engineer, Software Developer, or related occupational experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams
Preferred qualifications
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
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, Bellevue - 184,900.00 - 250,200.00 USD annually
How we rate this
Software Development Manager, Amazon Robotics at Amazon rates 25 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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