Robotics Integration Engineer (Launchpad)

Oxa; Town of Oxford; Hybrid; CAD 70,000 - 100,000; Full time

Benefits offered by this job

Equity scheme

Annual leave 25 days

Hybrid/remote work options

Overseas work policy

Job summary

Oxa is building autonomous industrial fleets and is seeking a hybrid field engineer to join Launchpad. You will bridge software and hardware, test autonomous systems on real sites, and contribute to maps, tooling, and field deployments. You will travel for secondments and work with major partners in airports and ports.

The role requires hands-on work with autonomous vehicles, cross-functional collaboration, and a focus on reliable, scalable workflows across the stack.

Qualifications

• Experience working across hardware/software boundaries.

Responsibilities

• Work in a field team to operate, test, and debug autonomy systems in the real world.

Skills

Strong problem-solving skills

Adaptable to shifting priorities

Cross-disciplinary collaboration

Effective communicator

Tools

C++

ROS

Linux

Python

Bash

Git/CI

Job description

At Oxa, we're building the future of Industrial Mobile Autonomy (IMA) and are in the market for new talent.

Oxa’s customers are the operators of some of the world's largest industrial facilities. Our technology transforms existing industrial vehicles into intelligent autonomous fleets, unlocking new levels of productivity, safety, and performance.

‘The phone in your hand, the coffee on your desk, the shirt on your back - they all moved through a web of ports (air and sea), distribution yards and manufacturing hubs. This is the invisible circulatory system of global trade, and it relies entirely on a relentless, repetitive shuffle of goods. Towing.

‘This towing task happens in complex, commerce-critical industrial environments. Here, having self driving technology “do the driving” delivers immediate, measurable impact. IMA will revolutionise the movement of goods across the world's ports, airports, and yards.

You can be part of that as an Oxbot’

‘Paul Newman - Founder and CEO’

Our Products:

Our products are built on four core technology pillars which come together to build a complete system:

Oxa Ware – Our modular autonomy hardware systems for consistent and repeatable integration of autonomy with existing vehicles.

Oxa Driver – Our Physical AI, embodied in Oxa Ware, self-driving software that enables vehicles to perceive, reason, and drive autonomously in complex real-world environments.

Oxa Foundry – Our development toolchain that leverages generative AI to continuously train and assure Oxa Driver, synthesising situations and sensor data.

Oxa Hub – Our suite of cloud services for monitoring, managing and orchestrating fleets driven by Oxa Driver, including an API for integration with existing logistics systems.

Behind these technologies is our exceptional team, the Oxbots. We are home to some of the world's leading experts in autonomous systems, robotics, machine learning, artificial intelligence, cloud infrastructure, and distributed software engineering. Together, we're solving some of the hardest technical challenges in autonomy, turning the research and development we do into production and deploying it into environments. Making robots do useful work.

Your Team:

Launchpad is where autonomy meets the real world: covering integration, commissioning, testing, and initial deployments. We love flexible engineers who enjoy stepping out from behind a single domain to tackle every layer of the problem—whether that’s tweaking code, troubleshooting hardware in the field, or getting a vehicle running smoothly on-site.

Your Role:

As a member of Launchpad you will acquire a comprehensive understanding of the system’s components and interactions, identifying the areas for improvement and acting as an initial customer to drive our technical capabilities forwards. We are a team of problem solvers and keen roboticists who enjoy looking at the big picture and tackling challenges, and we are devoted to perfecting our software both in the real and the virtual worlds to deliver the best possible version of our vision for Universal Autonomy.

What makes this role unique?

• Full-Lifecycle Engineering: Bridge the gap between software development, hardware integration, and real-world execution. You’ll own problems end-to-end, moving fluidly between systems engineering, software diagnostics, and physical setup.

• Real-World Application: Get hands-on with cutting-edge field robotics deployed alongside major global partners in airports, ports, and industrial yard operations.

• Global Exposure: Based in the UK, with exciting secondment opportunities to work on-site with our partners in the UAE.

• You'll build the tools, not file tickets for them. The software our field engineers depend on is written by the people who need it — a viewer for every sensor and subsystem, a commissioning GUI, log-snipping and replay tooling, and automatic code change management. There's no separate tooling team to hand problems to. When a capability falls between two teams and nobody owns it, it becomes ours to write.

• We built our own factory to develop robots in. A mock industrial site on our own test estate — real vehicles, real workflows — where autonomy runs daily, unsupervised and where every new feature gets proven first.

• Bare metal to driverless. Bringing up a new vehicle tests every assumption in the stack at once — network, sensors, controllers, calibration — and the real work is diagnosing why it doesn't come up. You'll be the person who traces a fault across the hardware–software boundary, finds the actual cause rather than a workaround, and then makes sure the next vehicle never hits it: fewer manual steps, better checks, days instead of weeks.

• AI is in our workflow, not our pitch deck. LLM coding assistants are standard issue here, and every merge request can get an automated review before a human sees it. We point models at the product too — automatic code change generation from release diffs, ML-based scenario recognition, telemetry-first triage of field issues. Some of our most interesting open threads are agent loops that take an operator's report of an autonomy issue and iterate towards a fix.

Your Responsbilities:

• Work as part of a cross-functional team in the field to operate, test, and debug our autonomy systems in the real world.

• Build, upgrade and maintain maps for testing our vehicles in the real world.

• Investigate and analyse data to enable issues to be identified and resolved.

• Work collaboratively with multi-disciplinary (and multicultural) teams, communicating technical requirements and working together to find solutions.

• Identify functionality gaps, contributing to the development of hotfixes and new features.

• This is a hybrid role which will require working hands-on with autonomous vehicles.

• This role will require extensive travel to the UAE for seconded periods of time. Candidates must have no restrictions on their passport preventing entry into the UAE and no criminal record.

Requirements:

• Strong problem-solving skills, particularly working with hardware and across the hardware-software boundary.

• Process development, with a focus on creating reliable, streamlined workflows that others can easily scale and follow.

• Able to manage workload and adapt quickly in the face of physical build and schedule challenges.

• Able to work flexibly with shifting priorities in a fast-paced environment.

• Able to capture software and process requirements, translating them into reliable tooling and workflows.

• Able to plan and coordinate the delivery of projects with multiple stakeholders across different teams.

• Familiarity with the software development process, particularly in scripting, automation, and building internal tooling (e.g., Python/Bash).

• Working knowledge of C++, ROS or equivalent middleware, Linux, and git/CI — enough to navigate and debug an unfamiliar robotics codebase rather than waiting for its author.

• Ability to work in multi-disciplinary teams, communicating technical requirements effectively with software, hardware etc.

• This role requires regular presence in our Oxford workshops and test sites to capture requirements and develop a hands-on understanding of the gaps in the process and tools.

Your Interview Experience:

Our interview process is designed to give you every chance to get the measure of us, and us of you. You will join three stages which will give you every opportunity to show your strengths and qualities, via scenario based questions and technical exercises.

What We Offer:

• Competitive salary benchmarked against the market

• Participation in a great company equity scheme

• Enhanced pension contributions

• Annual holiday allowance of 25 days per year

• Overseas working policy for up to 8 weeks per year

• Flexible, hybrid and remote working arrangements

• Comprehensive Private Health cover with the option to add family members,

• Enhanced health and wellbeing benefits including health cash plan, critical illness cover, life assurance and group income protection

• Enhanced paid maternity and paternity policy

If you're excited by deep technical problems, real-world AI, and the opportunity to build technology that will reshape global industry, you'll find both the challenge and the impact you're looking for at Oxa.