Sr. Software Engineer, Scheduling Platform

As a Senior Software Engineer on Tesla's Scheduling Team, you will build

the central nervous system of Tesla's global operations. You will architect the platform

responsible for managing appointments and resources across test drives, vehicle delivery,

service centers, and residential solar/battery installations. You will tackle complex

algorithmic challenges, such as solving the Traveling Salesman Problem for our Mobile

Service fleet to optimize routing and efficiency. This role is essential for supporting Tesla's

next era of Robotaxi and Optimus expansion, requiring you to rethink foundational

platforms for unprecedented scale, solving hard resource allocation problems to maximize

efficiency and customer satisfaction.

• Design, develop, and scale the scheduling engine that manages global appointments for Service, Delivery, and Energy (Solar/Battery) operations
• Develop and implement complex optimization algorithms to solve routing challenges, such as dynamic routing for Mobile Service technicians (Traveling Salesman Problem) and resource capacity planning
• Re-think operational platforms from 0 to 1, identifying opportunities to incorporate AI Agents for automated scheduling decisions and routing optimization
• Collaborate directly with operational teams (Service, Delivery, Energy) to understand bottlenecks and ship code that improves efficiency
• Implement orchestration engines to handle complex, multi-step workflows that coordinate between digital systems and physical world operations
• Own end-to-end the complete lifecycle of scheduling applications, from algorithmic design to deployment and monitoring
• Improve the reliability and observability of critical platforms to ensure 99.99% availability for global field teams
• Apply software engineering best practices-including version control, testing, CI/CD, and containerization

• Degree in Computer Science, Engineering, a related field, or equivalent experience
• 5+ years of professional software engineering experience, including designing and operating production systems at scale
• Proficiency in Go (Golang) or C# for building scalable, efficient backend systems
• Strong algorithmic background, particularly in optimization, graph algorithms, or constraint satisfaction (highly relevant for scheduling and routing systems)
• Experience architecting and maintaining distributed systems, with deep familiarity in container orchestration and service deployment
• Experience building AI agents or integrating intelligent systems into real-world applications (e.g., autonomous decision-making for routing)
• Demonstrated ability to set up robust observability systems from scratch, including distributed tracing and metrics pipelines
• Proven track record of building systems that bridge the digital and physical worlds, such as supply chain or booking platforms

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

• Medical plans > plan options with $0 payroll deduction
• Family-building, fertility, adoption and surrogacy benefits
• Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
• Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
• 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
• Company paid Basic Life, AD&D
• Short-term and long-term disability insurance (90 day waiting period)
• Employee Assistance Program
• Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
• Back-up childcare and parenting support resources
• Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
• Weight Loss and Tobacco Cessation Programs
• Tesla Babies program
• Commuter benefits
• Employee discounts and perks program

Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.