Senior Software Engineer, Simulation

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Take ownership of and enhance the simulation tools.

• Develop and expand the simulation environment, incorporating production autonomy-stack integration, utilized interfaces, vehicle and actor models, as well as environmental and operational conditions.

• Sustain and refine integration as the autonomy stack progresses, including efforts to improve simulation fidelity.

• Construct and manage cloud-based scenario execution, featuring orchestration, parallel processing, result aggregation, artifact capture, and runtime cost modeling.

• Create and expand the evaluation layer with accurate assertions and pass/fail criteria for release gating.

• Develop failure-triage tools, encompassing failure clustering, individual failure recordings, and dashboards.

• Enhance scenario-authoring tools for the V&V team across both backend and frontend.

• Uphold the foundational aspects of simulation, ensuring determinism, reproducibility, pipeline performance, and coverage across various maps and sites.

• Support test quality through deterministic, reproducible testing and verification processes, ensuring that each gate can fail.

⛳️ Requirements

• A Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or a related discipline.

• Proficient in Python with a proven history of producing maintainable code within a shared codebase.

• Practical simulation experience with autonomous systems.

• Familiarity with simulation platforms such as CARLA, Applied Intuition, Foretellix, NVIDIA Omniverse, IsaacSim, Gazebo, or proprietary simulators.

• Working knowledge of simulation, modeling, and validation methodologies.

• Experience with Docker and Linux.

• Understanding of distributed-systems fundamentals.

• Experience with GPU-based simulation environments.

• Familiarity with CI/CD and cloud execution methodologies.

• Experience integrating automated testing workflows into CI for comprehensive end-to-end validation coverage.

• Ability to analyze simulation output and telemetry to pinpoint performance bottlenecks and failure modes.

• Skills in debugging and profiling distributed, GPU-bound systems.

• Preferred: A Master's degree in Computer Science, Robotics, or a related field.

• Preferred: Experience with safety-critical systems in autonomous driving, aerospace, or robotics.

• Preferred: Familiarity with autonomous vehicle software stacks such as ROS/ROS2.

• Preferred: Knowledge of cloud-based simulation infrastructure and large-scale distributed test execution.

• Preferred: Expertise in sensor modeling, environment generation, or perception ground-truth pipelines.

• Preferred: Experience with automated testing, continuous integration, and data-driven validation.

• Preferred: Knowledge of log/bag re-simulation using recorded real-world data.

• Preferred: Experience in test-signal quality work, including flake reduction, determinism debugging, and golden-output comparisons.

• Preferred: Exposure to ISO 26262, ISO 21448 (SOTIF), UL4600, or ISO 13849.

• The application form inquires whether the candidate has simulation experience in robotics, automotive, or autonomous driving.

• The application form asks if the candidate is located in North America or Europe.

• The application form queries whether the candidate will need sponsorship to work in the US or Europe.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health benefits including medical, dental, and vision coverage.

• Opportunities for professional development and career growth.

• Flexible work schedule and remote work options.

• Engaging team culture with regular team-building activities.