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As a Senior Software Engineer, you will play a key role in the development of simulation systems and tools responsible for supporting the design, development, qualification, and deployment of large scale integrated robotic systems for our customers. You’ll be part of a cross-functional team that blends software engineering, system design, and data science to drive strategic decisions and optimize complex systems.
Job Responsibility:
Develop faster than real-time and optimized simulation tools and environments for driving key design decisions for new systems and products
Take responsibility for creating simulations transforming production data, generating synthetic data when needed, experiment creation through analysis and developing tools to automate this workflow end-to-end
Analyze and evaluate existing simulation tools and drive improvements that enable faster, more scalable, efficient, and low-cost solutions for use across the Symbotic development teams
Lead the design and implementation of a hierarchy of simulation capabilities to support the development and analysis of both component and integrated systems-level digital twins
Take responsibility for all aspects of the simulation tools used throughout the organization including individual robots, perception, controls, fleet-level operations, routing, and system-wide simulations used during testing and design of new features
Drive project scoping and requirement specification providing senior leadership with deep technical insight needed to create long-term technical roadmaps
Amplify impact through other team members by serving as a technical mentor to guide the team toward innovative solutions and increased productivity
Requirements:
A master’s degree in computer science, Computer Engineering, or related discipline
Minimum of 6 years of software engineering skills with deep technical expertise including simulation environments and optimization solutions
Solid foundation in computer science fundamentals: algorithms, data structures, object-oriented design
Experience with data transformation, ETL pipelines, and data wrangling using tools like Pandas, NumPy, or SQL
Familiarity with the current state-of-the-art and ability to draw upon a wealth of technical experience to drive difficult and impactful technological design decisions
Direct experience with data science workflows: experimentation, statistical analysis, and visualization
Ability to understand and architect a modern hierarchical simulation system for a complex Software system with varying levels of fidelity for a variety of applications
Excellent verbal and written communication skills to effectively represent the derived results and technical concepts to leadership team
Ability to work independently and collaboratively in a fast-paced, iterative environment
Nice to have:
Experience with ML and cloud computing models and tools for training in simulation