Software Engineer, Simulation

Location: London, United Kingdom; full-time hybrid role based in the London office

Company

hirify.global develops end-to-end autonomous driving technology and simulation systems for evaluating driving intelligence.

What you will do

• Develop and maintain production-quality simulation components using modern C++ and Python.
• Integrate driving-stack components, simulated robot systems, and vehicle-platform capabilities into a shared simulation environment.
• Support open-loop and closed-loop simulation configurations and ensure correct component interactions.
• Investigate differences between on-road and simulated execution across data, inference, and simulated components.
• Improve reproducibility, reliability, debuggability, observability, automated testing, and developer tooling.
• Profile simulator performance and collaborate with Simulation, Robotics, Autonomy, Evaluation, Platform, and Data teams on scoped improvements.

Requirements

• Professional experience delivering and maintaining production software in a collaborative engineering environment.
• Strong software development skills in C++ and Python, with depth in at least one language and effective use of both.
• Experience with simulation, robotics, autonomous systems, or similarly complex systems with interacting software components.
• Knowledge of software and data-oriented design, maintainable and extensible code, interfaces, data flows, timing, and failure modes.
• Ability to debug complex systems, make pragmatic performance trade-offs, independently deliver scoped features, and communicate risks clearly.
• Experience using GenAI development tools while reviewing, testing, and validating their output.

Nice to have

• Experience with autonomous vehicles, robotics, or vehicle and robot dynamics simulation.
• Experience with middleware and complex system integration.
• Experience with camera, radar, lidar, or GNSS sensor data, including uncertainty or noise modelling.
• Experience integrating machine-learning inference into production systems.
• Experience with performance profiling, observability, distributed systems, large-scale batch processing, cloud infrastructure, or GPU workloads.

Culture & Benefits

• Hybrid working combines time in offices and workshops with working from home.
• Core working hours provide flexibility in scheduling with the team.
• Collaboration spans Simulation, Robotics, Autonomy, Evaluation, Platform, and Data engineering teams.

Hiring process

• CV information is used to pre-fill as much of the application form as possible.