Principal Software Engineer, Design Simulation
About the role
Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. The company reinvents the warehouse as a strategic asset for the world’s largest retail, wholesale, and food & beverage companies, solving today's complex distribution challenges with next-gen technology, high-density storage, and machine learning.
Responsibilities
- 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 provides the academic foundation for success. Minimum of 12 years experience in software engineering with technical expertise including simulation environments and optimization solutions. Expertise 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.
Qualifications
Plus: Experience with ML and cloud computing models and tools for training in simulation 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.
Skills
Experience with simulation environments and optimization solutions. Expertise in computer science fundamentals, algorithms, data structures, object-oriented design. Familiarity with data transformation, ETL pipelines, and data wrangling using tools like Pandas, NumPy, or SQL. Direct experience with data science workflows: experimentation, statistical analysis, and visualization. Experience with ML and cloud computing models and tools for training in simulation.
Benefits
Base range for this position in the posted location is $180,000.00 - $247,500.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience. The compensation package includes medical, dental, vision, disability, 401K, PTO and/or other benefits.