Job Description
Step into the future with Nexus Dynamics, where innovation meets impact. We're seeking an Autonomous Systems Engineer to pioneer next-generation AI-driven solutions that will redefine transportation and logistics by 2026. Join our Austin-based team of visionaries and help shape the autonomous revolution.
In this cutting-edge role, you'll architect and deploy intelligent systems that navigate complex real-world environments. You'll collaborate with quantum computing specialists and neuromorphic engineers to create adaptive algorithms that learn and evolve. If you thrive at the intersection of robotics, machine learning, and ethical AI, this is your moment to make history.
Responsibilities
- Design and implement neural networks for real-time decision-making in autonomous vehicles
- Develop quantum-enhanced pathfinding algorithms for multi-agent coordination
- Optimize sensor fusion systems using neuromorphic computing principles
- Lead ethical AI frameworks ensuring safety and transparency in autonomous operations
- Prototype and validate systems in simulated urban and industrial environments
- Mentor cross-functional teams in human-AI interaction paradigms
- Patent breakthrough methodologies in swarm intelligence and adaptive learning
Qualifications
- PhD in Robotics, AI, or Computational Science with 5+ years industry experience
- Expertise in reinforcement learning and federated learning architectures
- Proficiency in quantum computing frameworks (Qiskit, Cirq) and neuromorphic libraries (Loihi, Speck)
- Published research in IEEE Transactions on Robotics or equivalent tier journals
- Experience with ISO 26262 functional safety standards for autonomous systems
- Strong background in edge computing for latency-critical applications
- Demonstrated success in scaling AI systems from prototype to production