Job Description
We are building the infrastructure for the year 2026. Nexus Horizon Corp is seeking a visionary Lead Simulation Architect to spearhead our next-generation autonomous systems division. In this role, you will bridge the gap between theoretical physics and practical machine learning, creating hyper-realistic simulation environments that predict and shape the future of transportation.
Join a team of elite engineers dedicated to solving humanity's most complex logistical challenges. You will be at the forefront of the 2026 initiative, utilizing cutting-edge tools to model millions of edge cases in real-time.
Responsibilities
- Architect Core Logic: Design and implement the foundational simulation engine that models autonomous vehicle interactions with dynamic urban environments.
- Predictive Modeling: Develop algorithms that forecast traffic patterns and system failures years in advance to pre-emptively patch vulnerabilities.
- Quantum Integration: Oversee the integration of quantum computing protocols to optimize massive data sets for training neural networks.
- System Optimization: Refine simulation latency and rendering speeds to ensure real-time decision-making capabilities for our autonomous fleets.
- Cross-Functional Leadership: Mentor junior developers and collaborate with hardware engineers to align software capabilities with physical sensor constraints.
- Roadmap Strategy: Define the technical milestones for the 2026 release cycle, ensuring scalability and security standards are met.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Physics, or a related field (preferred).
- Experience: 8+ years of experience in software engineering, with at least 3 years in simulation or robotics.
- Technical Stack: Proficiency in C++, Python, and CUDA. Experience with Unreal Engine 5 or Unity for high-fidelity rendering is required.
- AI/ML: Deep understanding of Reinforcement Learning (RL) and Deep Reinforcement Learning from Human Feedback (DRLHF).
- Problem Solving: Demonstrated ability to solve complex, open-ended engineering problems with limited data.
- Communication: Excellent verbal and written communication skills for technical presentations and documentation.