Amazon System Development Engineer Amazon Robotics 

United States, Massachusetts 

759460260

Key job responsibilities
* Evaluate, select, and integrate sensors such as overhang sensors, overheight sensors, vision systems, and force/torque sensors to enhance system robustness and performance
* Integrate with new drives/motors, new devices like scanners, vacuum suction module,
* Develop controls code utilizing structured text and ladder-logic on Codesys and RSLogix 5000 platforms
* 15-20% travel expected to support onsite system testingA day in the life
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

- 2+ years of non-internship professional software development experience
- 1+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- Bachelor's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or a related field
- 1+ years of non-internship professional experience. in designing and integrating servos, safety systems and pneumatic / analog / digital sensors in industrial automation or robotics
- Proficiency in programming experience with PLCs like Allen-Bradley PLCs, Siemens PLCs, and/or Soft PLCs/IPCs, in structured text (ladder logic is optional).
- Experience with Bosch Rexroth systems or Nidec motors or similar servos
- Experience with industrial communication protocols (e.g., EtherCAT, OPC-UA, Modbus).

- Master's degree in Engineering or related field
- 1+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience
- Experience developing controls code utilizing Codesys platform
- Experience programming with at least one software programming language like C++/Java
- Strong knowledge of safety standards and regulations (e.g., ISO 13849, IEC 61508, OSHA).
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration abilities.
- Experience working in a fast-paced, multidisciplinary environment
- Knowledge of systems engineering fundamentals (networking, storage, operating systems)