Software Engineer, Fleet Management

Tesla Motors
Austin, TX, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Algorithm Design Automated Storage and Retrieval Systems Data Structures Distributed Systems Firmware Job Scheduling Uptime Motion Planning MySQL Routing Site Reliability Engineering Practices
+18 more
Software Engineering SQL Databases Systems Architecture Systems Integration Data Logging Multi-Agent Systems State Machines Backend Event Driven Architecture Kubernetes Infrastructure Automation Frameworks Apache Kafka Graphql Front End Software Development Multiaccess Edge Computing Grpc Docker Microservices

Job description

Tesla 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. The platform integrates with robots, industrial equipment, and internal MES systems to coordinate material flow end-to-end. These systems are production-critical and directlyimpactfactory throughput, uptime, and scalability., We are seeking a Software Engineer to join the Fleet Management team. The Fleet Management domain handles job scheduling, vehicle routing, traffic management, conflict resolution, and fleet coordination at scale - a distributed, event-driven system spanning microservices, real-time messaging, and edge computing. This is a full stack role with a strong backend emphasis - you will spend the majority of your time on scheduling, routing, and orchestration algorithms in Go, while also exploring AI-driven approaches to optimization, contributing to frontend tooling, and occasionally stepping into robotics controls work alongside the firmware team.

You will work within a small, focused team alongside a Staff-level domainleadand experienced engineers. You will receive mentorship on algorithm design and systems architecture while being expected to take ownership of meaningful features from day one.

This position is based in Austin, TX (onsite). What You’ll Do

  • Implement and improve job scheduling, vehicle routing, traffic management, and fleet orchestration algorithms in Go - including task assignment, path planning, conflict resolution, dynamic replanning, and resource allocation

  • Explore and apply AI and ML techniques to improve scheduling, routing, anomaly detection, and operational decision-making

  • Build andmaintainintegrations with industrial equipment, MES systems, and other internal platforms that connect fleet management to the broader factory automation stack

  • Contribute to frontend tooling that gives factory operators real-time visibility into fleet status, scheduling decisions, and system health

  • Write comprehensive tests for algorithmic correctness, edge cases, and performance

  • Design and improve observability: metrics, logging, tracing, and dashboards that make fleet behavior transparent anddebuggable

  • Collaborate with firmware engineers to ensure fleet-level decisions translate to correct vehicle behavior, and contribute to robot control software when needed

Requirements

  • 3+ years of software engineering experience with strong foundations in algorithms, data structures, and systems design

  • Deep interest or experience in robotics, multi-agent systems, fleet management,logisticsoptimization, or operations research - you can reason about graph algorithms, optimization problems, and state machines

  • Strongproficiencyin Go; working familiarity with the broader stack:GraphQL,gRPC, NATS or Kafka, SQL (MySQL), Docker, and Kubernetes

  • Comfortable working with distributed systems concepts: real-time messaging, event-driven architectures, state management, and eventual consistency

  • Product-minded - you think about the user’s experience, not just the engineering solution, and consider how factory operators and engineers will interact with what you build

  • Experience building user-facing features, SRE practices, CI/CD pipelines, or infrastructure automation is a plus - the team owns its full stack and build tooling end-to-end

  • Experience with fleet management, warehouse automation, industrial automation systems, robotics controls, or hardware-software integration is a plus

Benefits & conditions

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

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