Embedded AI & Sensor Systems Engineer

Relha LLC

Reading (MA)

On-site

USD 144,000 - 194,000

Full time

12 hours ago
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Job summary

Amazon Robotics in North Reading, MA is seeking an Embedded Software Development Engineer to research and develop next generation sensor and compute technology for robotics. The role focuses on embedded systems, FPGA development, and sensor integration to enable AI on edge platforms.

Ideal candidates will have hands-on experience with C/C++, Verilog/HDL, embedded Linux, and sensor technologies such as camera, ToF, Radar, or Lidar.

Qualifications

  • 3+ years of non-internship professional software development experience.
  • 2+ years of non-internship design or architecture of new and existing systems.
  • High level of proficiency with C/C++.
  • 3+ years experience of full embedded software development cycle, including design, prototype, development, testing, and deployment.
  • 3+ years experience implementing signal processing algorithms using Verilog and HDL tools.

Responsibilities

  • Research emerging sensor technologies and evaluate potential applications in Amazon fulfillment network.
  • Partner with hardware, software, test and operations teams to develop sensors and compute platforms.
  • Define system requirements, write specifications, and create test plans.
  • Design and develop embedded systems to enable AI on Edge Computing.
  • Advise internal teams on sensing and compute solution design and integration.
  • Support product release to manufacturing and customer deployment.

Skills

C/C++
Embedded systems
Python scripting
Sensor technologies
Team collaboration

Education

Bachelor's degree in computer science or equivalent

Tools

Verilog
HDL tools
Embedded Linux kernel & drivers

Job description

Amazon Robotics in North Reading, MA is seeking an Embedded Software Development Engineer to research and develop next generation sensor and compute technology for robotics. The role focuses on embedded systems, FPGA development, and sensor integration to enable AI on edge platforms.

Ideal candidates will have hands-on experience with C/C++, Verilog/HDL, embedded Linux, and sensor technologies such as camera, ToF, Radar, or Lidar.

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