Staff Software Engineer - Pallet Building Team

Exol•Wilmington, MA

1d•$149,000 - $204,600•Hybrid

About The Position

Symbotic is seeking a Senior Software Engineer to join our Pallet Building Planning (PBP) team. This role focuses on the design, development, and optimization of advanced palletization algorithms that drive robotic automation systems operating at large scale. The ideal candidate combines strong C# software engineering skills with a passion for solving complex optimization and algorithmic problems. The Pallet Build Planning (PBP) team is responsible for designing and optimizing how customer orders are converted into robot-built pallets within an automated warehouse environment. They take large, batched orders and determine how to group and stack cases into efficient, stable, and space-optimized pallets, solving complex 3D packing and optimization problems. The team continuously refines these plans in real time based on changing inventory and operational constraints, ensuring seamless execution by downstream robotic systems.

Requirements

Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Mathematics, Operations Research, or a related technical field.
Minimum of 5 years of professional software development experience.
Expert-level proficiency in C# and .NET development.
Strong understanding of object-oriented design principles, software architecture, design patterns, and clean coding practices.
Strong algorithm development skills with experience designing and implementing efficient solutions for complex optimization problems.
Deep knowledge of data structures, computational complexity, and performance optimization techniques.
Experience developing multithreaded and high-performance applications.
Strong debugging, analytical, and problem-solving skills.
Ability to work independently while effectively collaborating within a multidisciplinary engineering team.
Employees must have a valid driver’s license and the ability to drive and/or fly to client and other customer locations.
The employee is responsible for owning a credit card and managing expenses personally to be reimbursed on a bi-weekly basis.

Nice To Haves

Master’s or Ph.D. degree preferred.
Experience developing optimization, planning, scheduling, packing, routing, or logistics-related algorithms.
Experience with microservice architecture, containerized applications, and Kubernetes.
Knowledge of machine learning, mathematical optimization, operations research, or simulation techniques.
Experience working with large datasets and performance-critical systems.

Responsibilities

Design, develop, and enhance pallet planning algorithms that optimize cube utilization, pallet stability, robotic handling efficiency, and store stocking productivity.
Develop high-performance C# applications and services that support real-time and large-scale planning workloads.
Analyze complex operational requirements and translate them into scalable software and algorithmic solutions.
Evaluate and improve algorithm performance through profiling, benchmarking, simulation, and data-driven analysis.
Participate in software architecture, design reviews, code reviews, and technical planning activities.
Support regression testing, system validation, and release activities across development, testing, and production environments.
Investigate and resolve customer site issues by analyzing logs, system behavior, and planning results.
Collaborate with cross-functional teams including robotics, controls, machine learning, infrastructure, and product management.