Software Engineer Robotics Startup | Systems, Infrastructure & Autonomy

Software Engineer Robotics Startup | Systems, Infrastructure & Autonomy

Greater Boston (on-site)

$120K–$175K + equity

Well-funded robotics company ($40M+ raised)

Most software engineering jobs are narrow.

This one isn't.

We're looking for an engineer who wants to build across software, systems, infrastructure, robotics, and whatever else is required to get a solution into production.

You'll work directly with technical leadership to solve difficult engineering problems inside a rapidly growing robotics company. Some problems will involve software systems. Some will involve infrastructure. Some will involve robots. Many will involve all three.

We're not looking for someone whose expertise is limited to a single framework, technology, or domain.

We're looking for a builder.

The Kind Of Engineer Who Thrives Here

You are probably someone who:

• Learns new technical domains quickly
• Enjoys solving problems you've never seen before
• Gets frustrated by unnecessary bureaucracy
• Likes owning projects end-to-end
• Enjoys figuring things out independently
• Thinks in systems rather than silos
• Can move comfortably between software and real-world hardware

Many successful candidates come from backgrounds such as:

• Computer Science
• Robotics
• Aerospace
• Physics
• Mathematics
• Embedded Systems
• Distributed Systems
• Infrastructure Engineering

Not because of the degree itself.

Because these disciplines tend to produce engineers who are comfortable reasoning from first principles.

What You'll Work On

Depending on the problem, you might:

• Build internal software platforms
• Improve robotics infrastructure
• Develop Python services and tools
• Debug Linux systems
• Investigate networking and communications issues
• Improve deployment workflows
• Work with AI coding tools
• Improve reliability of deployed robotic systems
• Identify and eliminate operational bottlenecks

Success in this role comes far more from problem-solving ability than knowledge of any single technology.

Technical Background

Most successful candidates will have experience with several of:

• Python
• Linux
• Networking
• Distributed Systems
• Containers
• Kubernetes
• CI/CD
• Robotics Software
• Embedded Systems
• Cloud Infrastructure
• AI Coding Agents

You do not need experience with everything.

You do need the ability to learn anything.

We'd Be Particularly Interested In

• 3+ years building production software systems in Python
• Experience working with robotics, automation, autonomous systems, or embedded platforms
• Hands-on experience with physical hardware, sensors, cameras, or robotic systems
• Deep Linux knowledge
• Experience building or owning CI/CD pipelines
• Active personal projects, GitHub contributions, or technical side projects
• Experience directing AI coding agents to solve engineering problems

How We Evaluate Engineers

We're less interested in whether you've used a particular tool.

We're more interested in:

• How quickly you learn
• How you approach unfamiliar problems
• How you identify bottlenecks
• How you make engineering decisions
• How you operate in ambiguity
• Whether we'd trust you with a difficult technical problem and no predefined solution

We hire generalists.

People who can move between disciplines, learn quickly, and consistently deliver.

What We're Looking For

A highly capable engineer who wants to work at the intersection of:

Software × Systems × Robotics

Someone who enjoys building.

Someone who enjoys learning.

Someone who enjoys ownership.

Someone who gets energised by solving problems that don't have a playbook.

If that sounds like you, we'd love to talk.