Senior Autonomous Systems Software Engineer

Autzu; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Autzu in the Bay Area is seeking a Senior Autonomous Systems Software Engineer to build the orchestration, data, and intelligence layer for autonomous fleets. You will own core hub and fleet software, working across telemetry, real-time processing, state management, scheduling, APIs, and data infrastructure to coordinate operations.

You will partner with the CTO, systems engineers, robotics engineers, and the Physical AI team to deliver scalable microservices and edge/cloud deployments.

Qualifications

• 5+ years of professional software engineering experience focused on autonomous technology.
• Bachelor’s degree in CS/SE/CE or related field.
• Strong backend and distributed systems experience.
• Proficient in Python, Go, C++, Java or similar languages.
• Experience building production APIs using REST, gRPC, or similar.
• Experience with microservices and event-driven architectures.
• Experience with message queues, event processing, or streaming systems.
• Experience with SQL and/or NoSQL databases.
• Experience building stateful production systems.
• Experience with containers and production cloud deployments.
• Strong understanding of scalability, reliability, and observability.
• Ability to work full-time on-site in the Bay Area.

Responsibilities

• Build hub and fleet orchestration software.
• Ingest telemetry from vehicles, robots, chargers, and infrastructure.
• Develop real-time state-management systems.
• Build event-processing and event-driven architectures.
• Develop scheduling, dispatch, and automated workflows.
• Build APIs connecting vehicles, hub infrastructure, and cloud services.
• Develop fault, alert, and recovery workflows.
• Build services for operational state and system coordination.
• Develop scalable microservices and distributed applications.
• Build data pipelines for analytics and operational intelligence.
• Develop systems for human supervision and intervention.
• Explore AI agents and LLM-driven operational assistance.
• Deploy software across cloud and edge environments.
• Build observability, monitoring, logging, and reliability tooling.
• Collaborate with CTO, systems engineers, robotics engineers, and AI teams.

Skills

Distributed systems

Backend development

Programming languages

APIs (REST/gRPC)

Microservices

Messaging/Streaming

Databases (SQL/NoSQL)

Containers & Cloud

Observability & reliability

Production deployment

Education

Bachelor's degree in Computer Science / Software Engineering / Computer Engineering

Tools

Kafka

Kubernetes

CUDA/NVIDIA tools

Job description

Senior Autonomous Systems Software Engineer

Bay Area, CA — Full-Time, On-Site

Build the Software Operating Layer Behind Autonomous Fleets

Autzu is building the infrastructure and operating layer needed to support autonomous transportation at scale.

Our autonomous hubs will bring together vehicles, robots, chargers, sensors, infrastructure, edge compute, and cloud software into a coordinated operating environment.

We’re looking for a Senior Autonomous Systems Software Engineer to build the orchestration, data, and intelligence layer behind that system.

This software will understand what is happening across vehicles, robots, chargers, and hub infrastructure, determine what needs to happen next, and coordinate operations automatically.

About the Role

You’ll own core elements of Autzu’s hub and fleet operating software.

You’ll work across distributed systems, telemetry, real-time event processing, state management, scheduling, dispatch, APIs, data infrastructure, automation, analytics, and operational intelligence.

This is an ideal role for a strong software engineer who wants to build complex systems from scratch and see their software directly coordinate real-world autonomous operations.

What You’ll Do

• Build hub and fleet orchestration software
• Ingest and manage telemetry from vehicles, robots, chargers, and infrastructure
• Develop real-time state-management systems
• Build event-processing and event-driven architectures
• Develop scheduling, dispatch, and automated operational workflows
• Build APIs connecting vehicles, robots, hub infrastructure, and cloud services
• Develop fault, alert, and recovery workflows
• Build services for operational state and system coordination
• Develop scalable microservices and distributed applications
• Build data pipelines supporting analytics, optimization, and operational intelligence
• Develop systems for human supervision and intervention
• Explore AI agents and LLM-driven operational assistance
• Deploy software across cloud and edge environments
• Build observability, monitoring, logging, and reliability tooling
• Work closely with the CTO, systems engineers, robotics engineers, and Physical AI team

Minimum Qualifications

• 5+ years of professional software engineering experience focused on autonmous technology
• Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or a related field
• Strong backend and distributed systems experience
• Strong programming skills in Python, Go, C++, Java, or similar languages
• Experience building production APIs using REST, gRPC, or similar technologies
• Experience with microservices and event-driven architectures
• Experience with message queues, event processing, or streaming systems
• Experience with SQL and/or NoSQL databases
• Experience building stateful production systems
• Experience with containers and production cloud deployments
• Strong understanding of scalability, reliability, and observability
• Experience taking software from design through production
• Ability to work full-time on-site in the Bay Area
• Strong fit for a fast-moving startup environment

Preferred Qualifications

• Experience with Kafka or similar streaming platforms
• Experience with time-series data and high-volume telemetry
• Experience with Kubernetes
• Experience deploying systems across cloud and edge environments
• Experience with scheduling, dispatch, fleet operations, logistics, or orchestration platforms
• Experience in autonomous vehicles, robotics, mobility, or industrial automation
• Experience with analytics, optimization, or operations research
• Experience building LLM agents or intelligent automation
• Experience with NVIDIA NIM microservices
• Experience with NeMo or Triton Inference Server
• Experience with CUDA, TensorRT, or NGC
• Experience deploying AI workloads to Jetson or IGX
• Build the software brain behind autonomous physical operations
• Work directly with our CTO and founding autonomous systems team
• Create the orchestration layer connecting vehicles, robots, chargers, infrastructure, and cloud systems
• See your software directly influence real-world operations
• Own major architectural and product decisions from an early stage
• Grow into Staff, Principal, or engineering leadership roles as the organization scales

If you love distributed systems and want to apply that experience to autonomous machines operating in the real world, we’d love to hear from you.