AmazonSoftware Development Engineer, Automated Vehicle Testing
AI in this role
Software engineer building intelligent anomaly detection systems, autonomous agents, and ML pipelines for satellite operations.
We are looking for an experienced Software Development Engineer with exposure to AWS tools and services to help architect advanced test infrastructure. Our team is responsible for core infrastructure and tools that serve as the backbone for automated satellite testing operations to enable rapid scaling of manufacturing processes.
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.
Key job responsibilities
- Contribute production-quality code across front-end interfaces, backend services, data infrastructure, and AI/ML layers to build end-to-end systems that transform satellite data, logs, and telemetry into actionable operational decisions at scale.
- Design and build components of intelligent systems that ingest satellite, ground gateway, and customer terminal telemetry to detect anomalies in real-time, predict failures before they impact customers, and recommend corrective actions.
- Develop a comprehensive understanding of satellite hardware, flight software, ground gateway systems, customer terminals, and the backend services that orchestrate our LEO constellation, enabling you to architect data infrastructure and analysis solutions for the full system.
- Build agents capable of tracing root causes across satellite buses, inter-satellite links, ground stations, and on-premises equipment, coordinating collaborative problem-solving between autonomous agents and human operators to resolve complex multi-system failures.
- Design natural language systems that fuse real-time constellation telemetry with historical operational data, engineering documentation, and institutional knowledge bases, enabling engineers to query complex system state through intuitive, context-aware interactions.
- Design and implement retrieval systems combining dense vector embeddings with sparse representations to enable semantic search across operational patterns, failure signatures, and system behaviors spanning petabytes of satellite test and in-orbit data.
- Design and implement components of a scalable S3-based data lake with intelligent metadata management, automated data classification, and end-to-end lineage tracking.
- Design and implement components of a low-latency data visualization platform for test engineers and satellite operators to monitor and investigate satellite behaviors across complex, high-cardinality datasets.
About the team
The Automated Vehicle Testing Team is a mix of scientists and software engineers responsible for data infrastructure, tools, and research that serve as the backbone of automated satellite testing operations to enable rapid scaling of manufacturing processes.
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
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing
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, Automated Vehicle Testing at Amazon rates 75 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. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- 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 anomaly detection was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Agents, NLP, Machine Learning, Distributed Systems, and Anomaly Detection. 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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