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Our Software Engineers experiment with disruptive technologies, including machine learning, and integrate them within our current software solutions using agile methodologies in a collaborative team environment. You'll have the chance to work closely with our research organization, principal applied scientists, and other engineers to bring the latest AI/ML research into production systems.Each Software Engineer will be assigned a technical mentor to help with onboarding and receive 1-1 guidance from their manager. You'll be part of a culture that fosters continuous learning and growth in areas like machine learning, robotics, and cutting-edge software development.Key job responsibilities
* Lead, design and support the development of novel ML systems, product integrations, and performance optimizations
* Design, develop, integrate, troubleshoot, optimize, test and lead the development of software which control and optimizes robotic fulfillment centers at very large scale
* Prototype and test concepts or features, both through simulation tools and emulators and with live robotic equipment
* Collaborate closely with the research organization, principal applied scientists and software engineers to bring research to production
* Envision, lead, and support the development of novel ML systems, product integrations, and performance optimizations
* Lead, mentor, challenge and grow enthusiastic, collaborative software engineers and applied scientists across the organizationA day in the life1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
- 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
- Experience programming with at least one software programming language
- Strong background or familiarity with algorithms used to solve complex problems for highly-scalable systems
- 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
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