Sr. Software Dev Engineer

Requirements

• 5+ years of non-internship professional software development experience
• 5+ years of programming with at least one software programming language experience
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience as a mentor, tech lead or leading an engineering team
• 5+ 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
• Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
• USA, MA, N.Reading - 168,100.00 - 227,400.00 USD annually

Additional Information

Amazon is seeking an exceptional Senior Software Engineer to own and architect our entire simulation and automation capability for next-generation advanced robotics systems. You will establish Amazon's simulation and automation competency from the ground up at unprecedented scale, serving as the technical authority and strategic owner for simulation frameworks, automation pipelines, and related software systems across our product line. You will build deep partnerships with internal robotics teams, architect our simulation infrastructure, and influence product design from concept through production deployment. This role requires mastery of simulation engineering-from building high-fidelity physics-based models to scaling automated testing and validation at volume-combined with a career establishing software platforms, managing complex technical programs, and leading cross-functional initiatives. You will partner with engineering leaders across the robotics organization, shape our product architecture for testability and automation, and define our simulation roadmap. Key job responsibilities - End-to-End Architectural Vision for Autonomous Validation: Provide the architectural vision for a digital twin-based, AI-driven autonomous validation framework using simulation as the baseline. Influence cross-org deliverables to meet the architectural vision and disambiguate technical needs from a validation perspective. - Digital Twin Enablement: Enable software hooks to realize digital twin capabilities and enable launchable instances of these digital twins with comprehensive metrics and observability. - Adversary Testing & Platform Integration: Interface with the platform team to enable adversary testing of the simulation platform, ensuring robustness and resilience under edge-case and failure-mode scenarios. - Setting HIL test beds and continuous validation. Building CICD pipelines - Virtualized Dynamic Environments for Field Testability: Provide virtualized dynamic environments that allow for realizing the testability of software in field environments, enabling rapid iteration and validation without physical deployment. - Safety Qualification through Simulation: Provide virtualized dynamic environments to qualify software for safety, ensuring compliance with safety standards and enabling rigorous validation of autonomous behaviors prior to real-world deployment.

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