The Edge Intelligence team, part of Amazon's Connected Vehicles organization within Last Mile Technology, builds and operates real-time intelligence, perception, and camera/sensor fusion systems that run directly on deployed delivery devices. We bridge embedded hardware and cloud platforms to enable low-latency, reliable, and scalable intelligence at the edge, powering the in-vehicle experiences that keep drivers safe and deliveries efficient.
We are building the next generation of smart delivery vehicles, both traditional and electric, combining IoT technologies, real-time data streams, and machine learning to deliver faster, safer, and better.
Key job responsibilities
* On-Device Applications: Design and develop applications that power in-vehicle experiences, improve safety, and enhance delivery efficiency across multiple device platforms
* Edge Inference & ML: Build and optimize on-device inference pipelines for perception, sensor fusion, and real-time decision-making models, ensuring low-latency and high-reliability performance on resource-constrained hardware
* Sensor & Camera Processing: Develop sensor ingestion frameworks and camera/signal processing pipelines that fuse data from multiple modalities (cameras, LiDAR, telematics, GPS) into actionable intelligence
* Edge Runtime Optimization: Profile and optimize edge compute workloads for performance, memory, power consumption, and thermal constraints across heterogeneous hardware platforms
* Device-to-Cloud Orchestration: Design and implement data pipelines that efficiently move telemetry, video, and sensor data from edge devices to cloud analytics platforms, balancing bandwidth, latency, and cost
* Edge Telemetry & Observability: Build monitoring, logging, and alerting systems that provide real-time visibility into the health and performance of thousands of deployed edge devices
* On-Device Map-Making: Contribute to on-device map-making models and localization systems that enable vehicles to understand and navigate their environment
* Operational Excellence: Own the end-to-end lifecycle of your systems - from design and implementation through deployment, monitoring, and on-call support
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
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, CA, SANTA CLARA - 165,200.00 - 223,600.00 USD annually
