Forward-Deployed Engineer (AU)

Location: Sydney, Australia (50% or more travel to customer sites)

About Alloy Robotics

We believe robotics is the industry of our lifetime, and data is its lifeblood.

Alloy is the AI-native data platform for robotics teams. Robot fleets generate enormous volumes of logs, video, telemetry, and mission data, and most of it ends up in silos where nobody can use it. Alloy turns it into one queryable layer with AI agents on top: engineers ask questions in natural language, get automated mission reports, and catch failures before they compound. The point is simple. Your robot breaks, you find out why, and your best people spend their time building the next robot instead of digging through the last one.

We've raised $16m, backed by Square Peg, Blackbird, and Airtree, with angels including senior leaders from OpenAI, Anthropic, Tesla, Waymo, and Halter. We partner with robotics teams across defence, agriculture, maritime, humanoids, construction, and medical, including Advanced Navigation, DroneForge, Breaker Industries, and Puralink. We're a lean team building from Sydney, and are adding our first US hires.

Where we are, and where we're heading

The product works: fleets stream data in, engineers replay missions in 3D, agents answer and report. What turns a good evaluation into a customer who can't run their fleet without us is an engineer in the room. In Australia, that's you.

About the role

You'll be the technical face of Alloy in the field: embedded with robotics teams across Australia, getting their data flowing, building the analyses that prove value, and carrying what you learn back into the product. Half solutions engineering, half product engineering, all customer.

Travel is real: expect 50% or more, embed weeks flexing with pilots, including stints with our US customers as we scale there. If a move to the US down the track excites you, this seat can be the path.

What you'll do

• Own technical success end to end: onboarding, ingestion, integration

• Run pilots to conviction: define success criteria, build to them

• Embed on-site; be the engineer customers trust

• Ship field learnings back into the platform

• Build playbooks that make each deployment faster than the last

You may be a good fit if you have

• 3+ years of engineering with real customer-facing time

• Strong Python and data skills in a modern web stack

• Presence in a technical room: workshops, live debugging, off-script demos

• Self-direction in the field, 50%+ travel appetite

• Based in Sydney, or relocating to it

Strong candidates may also have

• Robotics or hard-tech exposure (ROS/MCAP a plus)

• LLM and agent-systems experience

• Zero-to-one startup time

How we work

We're building the company we always wanted to join: small, fast, and serious about the craft. The bar is work you'll be proud of in five years, shipped this week. Everyone owns outcomes end to end: the interesting problems don't come with instructions, and nobody will hand you a playbook. We question requirements, delete what shouldn't exist, and spend our energy where customers feel it. If you want clear lanes and a manager to set your week, we'll frustrate you. If you want real problems, real pace, and the best work of your career, you'll fit right in.

Compensation

• Competitive salary

• Additional compensation and benefits may include equity and flexible working arrangements

If this reads like you but you don't tick every box, apply anyway. We care more about trajectory than checklists.