Software Development Engineer II, Leo Antenna Team

Amazon is hiring a Software Development Engineer II, Leo Antenna Team. It pays $144k-$194k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this software engineer role Little AI ●○○○: aI is not part of the work.
Level classes it as a mid-level role.
Amazon has 20,000+ other open roles on Level.
Posted in the last few days.

AI in this role

Amazon Leo is Amazon's initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit. Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Leo will help close the digital divide by delivering reliable connectivity to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without dependable internet access.

You will design, build, and deploy embedded software for high-volume consumer electronic devices that connect customers to the Kuiper network. Project Kuiper is breaking new ground with every device we create, and you will be an integral part of bringing this family of products to customers.

Key job responsibilities
- Design and implement embedded software for terrestrial customer devices within the Leo system, working across bare-metal and Linux environments.
- Participate in all phases of the software development lifecycle for embedded systems, from requirements gathering and design through coding, testing, and product deployment.
- Collaborate with hardware, product, and operations teams to translate device requirements into reliable embedded software using languages such as C, C++, and Rust.
- Troubleshoot and validate embedded software using tools like logic analyzers and schematic reviews, identifying root causes of issues and driving permanent fixes.
- Mentor fellow engineers through code reviews and documentation, helping maintain high code quality and ensuring new team members can quickly understand how the software is constructed and operated.

Export Control Requirement:
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

A day in the life
Your day might start with a stand-up alongside hardware and software engineers, aligning on the latest board bring-up progress or a firmware integration milestone. You could then spend focused time writing and debugging embedded code, pairing with a teammate to trace an issue through a logic analyzer. In the afternoon, you might review a peer's design for a new device feature, then sync with the product team on upcoming deployment timelines.

About the team
The Leo Customer Terminal Software Team supports the devices that connect customers to the Leo satellite network. We provide embedded application software and the underlying Linux system software for these terminals. We work hand in hand with hardware, product, and operations teams to deliver a great experience for our customers. As Leo moves toward full-scale production and global deployment, this is a compelling time to join and help shape how millions of people get online for the first time.

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, WA, Redmond - 143,700.00 - 194,400.00 USD annually

How we rate this

Software Development Engineer II, Leo Antenna Team at Amazon 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.