Senior Software Engineer, Cloud, Simulation

TL;DR

Senior Software Engineer, Cloud, Simulation (Embodied AI): Evolve core components of hirify.global’s simulation platform for developing and evaluating autonomous driving intelligence with an accent on robot emulator fidelity, visual fidelity, or efficient scaling. Focus on integrating machine-learned graphics subsystems, owning performance KPIs like cost and throughput, and ensuring high-fidelity scalable simulations.

Location: Hybrid role based in our office in London, United Kingdom. Combines office time for collaboration with work from home, core working hours.

Company

Leading developer of Embodied AI technology enabling vehicles to perceive, understand, and navigate complex environments for automated driving.

What you will do

• Shape and implement technical roadmap for simulator in areas like robot emulator fidelity, visual fidelity, or scaling.
• Own key performance indicators for simulator cost, SLOs, throughput, and latency.
• Work cross-team with robotics, research, platform, and data teams to align dependencies and meet end-user needs.
• Integrate simulated robot components and machine-learned graphics into the simulation platform.
• Lead technical discussions, guide direction, and implement production-quality Python software.

Requirements

• 5+ years industry experience designing and programming software
• Experience with workflow orchestration systems (e.g., Airflow, Dagster, Flyte) and/or data-intensive applications
• Excellent Python development skills
• Deep knowledge of Kubernetes at user level
• Strong systems and data-oriented software design for reusability and extensibility
• Understanding of software performance issues and design tradeoffs
• Excellent communication and people engagement skills

Nice to have

• Experience in autonomous vehicles or robotics
• Proficiency with Go or C++
• Scaling simulations or data-intensive workloads
• Design, implementation, optimization of large-scale ML inference in cloud GPU environments
• Operating and scaling machine-learned graphics (NeRF, Gaussian Splatting, GenAI)

Culture & Benefits

• Fast-paced environment embracing uncertainty and complex challenges.
• Hybrid working policy balancing office collaboration and remote work.
• Core working hours for schedule flexibility.
• Inclusive culture valuing diversity, new perspectives, and impact.
• Commitment to learning, excellence, and safer future through autonomy.