Who we are
With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system – reinventing warehouse automation for increased efficiency, speed and flexibility.
What we need
We are seeking an experienced Senior or Principal Data Scientist to lead the development of advanced simulation models that power next-generation robotic warehouse systems. In this role, you will build high-fidelity simulations of large-scale robotic fleets, optimize system performance, and inform strategic product and operational decisions.
This is a highly cross-functional position spanning data science, robotics, operations research, and distributed systems, where your work will directly impact efficiency, throughput, and scalability of real-world automation systems.
What we do
We design, test, and deploy advanced robotic systems that improve warehouse throughput, efficiency, and reliability at scale. By reducing reliance on physical testing, we accelerate innovation cycles and drive significant operational savings and productivity gains across real-world production environments. Our team tackles complex automation and optimization challenges alongside world-class engineers and scientists, with the opportunity to directly influence cutting-edge systems deployed in the field.
What you’ll do
Design and develop simulation frameworks for robotic warehouse systems, including robot fleets, inventory flows, task allocation, and human-robot interaction.
Build discrete-event and agent-based simulations to model complex, stochastic environments at scale.
Develop predictive and prescriptive models to optimize throughput, latency, and resource utilization.
Partner with robotics, software, and operations teams to:
Evaluate new algorithms (routing, task assignment, scheduling).
Test system changes before production deployment.
Identify bottlenecks and failure modes.
Create digital twins of warehouse environments to enable scenario testing and capacity planning.
Apply machine learning and statistical techniques to improve simulation realism and calibration.
Deliver clear insights and recommendations to technical and executive stakeholders.
Establish best practices for model validation, experimentation, and reproducibility.
What you'll need
Required Qualifications
MS or PhD in Computer Science, Data Science, Operations Research, Applied Mathematics, Physics, or related field.
Minimum of 5 years (Senior) or minimum of 8 years (Principal) of experience in:
Simulation, modeling, or systems optimization.
Complex, distributed systems.
Strong experience with:
Discrete-event simulation (DES) or agent-based modeling.
Python (NumPy, Pandas, SciPy) and/or simulation frameworks (e.g., SimPy, AnyLogic, Arena, or custom tools).
Solid understanding of:
Probability, stochastic processes, and statistics.
Optimization techniques (LP, MIP, heuristics, metaheuristics).
Experience working with large datasets and building data pipelines.
Ability to translate real-world system behavior into computational models.
Preferred Qualifications
Robotics, warehouse automation, logistics, or supply chain systems.
Fleet optimization or multi-agent systems.
Reinforcement learning for decision-making.
Path planning, task allocation, and scheduling algorithms.
Digital twin architecture.
Experience with C++ or high-performance systems for large-scale simulation.
Knowledge of cloud platforms (AWS, Azure, GCP) and distributed computing.
Background in experimentation platforms or A/B testing in operational systems.
Principal-Level Expectations (in addition to above)
Define and drive the long-term simulation and modeling strategy.
Architect scalable simulation platforms used across the organization.
Influence product and operational strategy through data-driven insights.
Mentor and grow a team of data scientists and engineers.
Serve as a subject matter expert in simulation, optimization, and system modeling.
Tech Stack
Python (NumPy, Pandas, SciPy, SimPy).
Data platforms (Snowflake, Databricks).
Visualization (Grafana, Tableau).
Cloud infrastructure (GCP).
Optional: Python, C# and C++.
Our environment
Up to 10% of travel may be required. 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.
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About Symbotic
Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world’s largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visit www.symbotic.com.
We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work – for you and the world. That’s why we’re proud to be an equal opportunity employer.
We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.
The base range for this position in the posted location is $149,000.00 - $204,600.00 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.Skills Required
- MS or PhD in Computer Science, Data Science, Operations Research, Applied Mathematics, Physics, or a related field
- Minimum of 5 years of experience for Senior level or 8 years for Principal level
- Experience in simulation, modeling, or systems optimization
- Experience with complex, distributed systems
- Strong experience with discrete-event simulation or agent-based modeling
- Strong experience with Python, including NumPy, Pandas, and SciPy, and/or simulation frameworks
- Understanding of probability, stochastic processes, and statistics
- Understanding of optimization techniques, including LP, MIP, heuristics, and metaheuristics
- Experience working with large datasets and building data pipelines
- Ability to translate real-world system behavior into computational models
- Experience in robotics, warehouse automation, logistics, or supply chain systems
- Experience with fleet optimization or multi-agent systems
- Experience with reinforcement learning for decision-making
- Knowledge of path planning, task allocation, and scheduling algorithms
- Knowledge of digital twin architecture
- Experience with C++ or high-performance systems for large-scale simulation
- Knowledge of AWS, Azure, or GCP and distributed computing
- Background in experimentation platforms or A/B testing in operational systems
- Valid driver's license and ability to drive and/or fly to client and customer locations
Symbotic Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Symbotic and has not been reviewed or approved by Symbotic.
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Healthcare Strength — Benefits include comprehensive medical, dental, and vision from day one, alongside wellness, mental health, and specialized coverages such as pet and transgender health care. Feedback suggests the breadth and immediacy of coverage are valued.
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Retirement Support — A 401(k) with company matching, profit sharing, and automatic enrollment are consistently emphasized as part of the package. Feedback suggests these components are seen as competitive pillars of total rewards.
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Leave & Time Off Breadth — Flexible/unlimited PTO with paid holidays and sick time is offered, managed directly between employees and leaders. Feedback suggests this structure provides meaningful scheduling flexibility.
Symbotic Insights
What We Do
The Symbotic story began in 2007 with a bold vision: to solve real-world challenges in the supply chain. Since then, we have combined deep expertise in warehouse operations with breakthrough technology to transform how goods are moved. Today, Symbotic delivers fully automated, end-to-end supply chain solutions for some of the world’s largest retailers and wholesalers. Our systems integrate advanced robotics and A.I. to address the complexity of modern distribution, helping customers achieve new levels of efficiency, speed, and flexibility. At Symbotic, we value curiosity, collaboration, and continuous improvement, empowering employees to make meaningful contributions from day one. Whether you’re designing next-generation technology, supporting operational excellence, or driving innovation behind the scenes, you’ll play a key role in shaping the future of automation and supply chain transformation at scale. If you’re looking for rewarding challenges, determined teammates, and the opportunity to make a tangible impact, Symbotic is where you belong.
Why Work With Us
What makes Symbotic unique is our people. We bring together curious thinkers, problem-solvers, and innovators who are passionate about transforming the future of supply chain automation. As we scale, we remain committed to supporting a culture rooted in creativity, teamwork, and meaningful impact.
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