Software Engineer, Fleet Management

Position: 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 AI 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

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…