Staff Software Engineer, Fleet Management

What to Expect

Tesla’s Factory Automation Robotics team builds fleet management and robot control software that orchestrates autonomous robots and automation systems — including AMRs, ASRS and conveyance systems — across global manufacturing and warehouse facilities. These systems are production-critical and directly impact factory throughput, uptime, and scalability. 

The Fleet Management domain is the algorithmic and systems core of this platform — a distributed, event-driven system spanning microservices, real-time messaging, and edge computing. It handles job scheduling, vehicle routing, traffic management, conflict resolution, and fleet coordination at scale. 

We are seeking a Staff Software Engineer to lead the Fleet Management domain. You will own the technical direction, write production code, and lead a team of engineers while scaling the system to support more factories, more robots, and more complex material flows. The ideal candidate combines deep expertise in multi-agent scheduling or fleet coordination with hands-on distributed systems experience, strong product instincts, and an AI-forward mindset. 

This position is based in Austin, TX. 

What You’ll Do

• Own the technical direction and algorithmic design for job scheduling, routing, traffic and resource management, and fleet orchestration 

• Lead and grow a team of engineers: mentor on algorithm design and systems thinking, review technical approaches, and set the bar for quality and rigor 

• Write production code in Go — this is a hands-on technical leadership role, not a management position 

• Design and evolve scheduling algorithms that handle multi-robot coordination, deadlock avoidance, dynamic replanning, and priority-based dispatching 

• Drive architectural decisions across the fleet management stack: Go, GraphQL, gRPC, NATS, Kafka, Temporal, MySQL, and Kubernetes 

• Identify opportunities to apply SI and machine learning to scheduling, routing, anomaly detection, and operational decision-making 

• Own the interface between fleet-level decisions and vehicle-level execution, working closely with the Firmware Controls team to ensure correctness under real-world conditions 

• Partner with the Integration team to validate that algorithms perform reliably in live factory environments and feed production learnings back into system design 

• Translate operational pain points and user needs into technical direction, driving the product toward measurable improvements in factory throughput and uptime 

• Drive the technical roadmap for fleet management: scaling to new factories, reducing downtime, and improving scheduling efficiency 

What You’ll Bring

• 7+ years of software engineering experience, with 3+ years focused on multi-agent systems, fleet management, logistics optimization, or robotics coordination 

• Deep expertise in at least two of: job scheduling algorithms, vehicle routing, traffic management, conflict resolution, resource allocation 

• Demonstrated experience building and operating distributed systems in production - event-driven architectures, message brokers, service decomposition, and the operational realities of running them 

• Strong proficiency in Go; working familiarity with the broader stack: GraphQL, gRPC, NATS or Kafka, SQL (MySQL), Temporal, Docker, Kubernetes, and Helm 

• Experience shipping algorithmic systems into real production environments, not just research or simulation 

• Track record of technical leadership: setting architectural direction, mentoring engineers, and driving technical decisions across teams 

• Strong product sense with the ability to understand user pain, domain constraints, and independently drive toward a better product 

• Experience with real-time or near-real-time decision systems - you understand latency, throughput, and reliability constraints 

• An AI-forward mindset with a drive to incorporate AI-driven approaches into product development, whether that is ML for scheduling optimization, LLMs for operational tooling, or AI-assisted development workflows 

• Background in warehouse automation (WMS/WES/WCS), AMR/AGV fleet management, or factory material flow is a plus 

Compensation and Benefits

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
• Earned Wage Access: Real-time pay access paid daily, subject to eligibility and schedule (applicable for below Sr. Managers levels)