Simulation Validation: Ensure simulated sensors and platforms closely match physical hardware performance in real-world conditions.
Software Tooling: Build and maintain software tools for visualizing, analyzing, and optimizing sensor and vehicle configurations.
Performance Analysis: Conduct technical evaluations of sensor configurations to assess range, accuracy, and other performance metrics.
Optimization: Explore trade-offs in sensor placement, platform design, and environmental factors to maximize system performance.
Cross-Functional Collaboration: Work closely with perception, autonomy, and hardware teams to ensure simulation results inform real-world designs.
Data Visualization: Develop intuitive visualization tools to present complex simulation results to technical and non-technical stakeholders.
Iterative Improvement: Continuously refine models and tools based on feedback from physical testing and deployed systems.
Required Qualifications
Education: Bachelor’s, Master’s, or Ph.D. in Robotics, Computer Science, Electrical Engineering, or a related field.
Sensor Modeling Experience: Proven experience modeling sensors like LiDAR, cameras, IMUs, and GPS in simulation.
Simulation Tools: Proficiency with simulation frameworks such as Unreal Engine.
Software Development: Strong programming skills in C++ and Python for building simulation tools and analysis pipelines.
Data Visualization: Experience creating tools or dashboards for visualizing simulation results.
Physics-Based Modeling: Familiarity with physics-based simulation techniques for accurate environmental and sensor modeling.
Systems Integration: Ability to validate and align simulation models with real-world hardware and systems.
Analytical Skills: Strong ability to analyze and interpret simulation data for performance evaluation.
Preferred Qualifications
Real-World Hardware Experience: Hands-on experience with physical sensors and understanding of their operational characteristics.
Optimization Techniques: Knowledge of optimization algorithms for sensor placement or system design.
Machine Learning: Familiarity with AI/ML techniques for improving simulation fidelity or analyzing sensor data.
Advanced Visualization: Experience with tools like Matplotlib, Plotly, or 3D visualization libraries.
Embedded Systems: Understanding of hardware constraints and system-level trade-offs in sensor integration.
Security Clearance: Active U.S. Secret clearance is a plus.
Why Join Us?
This is a unique opportunity to shape the future of autonomous systems by bridging simulation and real-world performance. Your work will ensure our sensor and vehicle configurations are optimized for mission-critical applications, driving innovation in robotics and autonomous technology. Apply now to help us build accurate and impactful simulation tools for next-generation autonomous systems!
US Salary Range
$166,000—$220,000 USD
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:
Benefits
At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.
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