onsite
Sr. Innovation Engineer, WW AMZL Innovation Engineering - Amazon.com
Software Engineer
We're looking for a Software Engineer focused on designing and building scalable technical solutions. This senior role requires 5+ years of relevant experience.
About the role
DESCRIPTION
- Identify, assess, and prioritize advanced technology use cases within AMZL Delivery Stations by analyzing process paths, ergonomic challenges, and key gaps,
- Own the integration roadmap for AMZL, defining a 3–5-year strategy aligned with the broader portfolio,
- Evaluate technology providers and platforms, conducting technical due diligence and benchmarking against operational requirements,
- Author white papers and business cases for deployment initiatives, quantifying ROI, safety improvements, and associate experience impact,
- Influence technical and business decisions through data-driven contributions based on pilot results, simulation outputs, and technology validation plans,
- Partner with providers, Mechanical, Controls and Software teams to define integration requirements (gripping, navigation, perception, task planning) for DS environments,
- Partner with simulation and digital twin teams to model performance in target process paths before physical deployment,
- Lead the scalability assessment for technologies, working with teams across the company to define path-to-scale economics,
BASIC QUALIFICATIONS
- Speak, write, and read fluently in English
- Bachelor's degree or above in robotics, mechanical/mechatronics engineering, systems engineering or related field
- Experience designing complex systems for automation in logistics or manufacturing, or experience with product development in automotive, aerospace, automation equipment or related field
- Experience in robotics design, automation systems development, control systems design, or related product development
- Experience performing complex business case analysis to justify technical decisions and presenting the justification to management in a high-level review
- Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience in technical support
PREFERRED QUALIFICATIONS
- Experience working with or evaluating AI systems
- Experience with automation and any version control tools, or experience demonstrating software engineering skills in a previous intership, work experience, coding competitions, or publications and experience troubleshooting and debugging technical systems
- Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications