3 months ago
Base Salary
$162k - $260k/yr
Responsibilities
- Research and develop state-of-the-art deep learning and machine learning perception models for long-range multi-sensor detection and degraded sensor conditions.
- Address object detection, traffic-actor tracking, action recognition, and semantic understanding of traffic scenes.
- Guide software development from prototype through production deployment on a real-time autonomous-vehicle platform.
- Use large-scale datasets for model training and analysis.
- Diagnose, analyze, and resolve failure modes found during on-road and simulated testing.
- Build and scale ML engineering pipelines for rapid experimentation and large-scale training and testing.
- Collaborate with cross-functional engineering teams to produce robust, well-tested autonomy systems.
Requirements
- Bachelor’s, master’s, or doctoral degree in Computer Science, Robotics, Engineering, or a related field.
- At least 6 years of research-based or professional experience with C++ and Python.
- Strong foundation in machine learning, including deep learning, computer vision, recursive state estimation, structured prediction, and optimization.
- Comprehensive understanding of linear algebra, discrete and continuous optimization, supervised and unsupervised methods, and generative and discriminative models.
- Strong publication record at top-tier robotics or computer vision conferences and journals, or significant relevant industry experience in robotics, computer vision, or self-driving technology.
- Experience with PyTorch or TensorFlow is desirable.
- Advanced production-level C++ knowledge is highly preferred.
- Experience applying computer vision and machine learning to complex robotics problems is desirable.
- Experience deploying computer vision and machine learning models at scale across large physical fleets is desirable.
- Experience with 3D data, including 3D object detection, tracking, semantic segmentation, or point-cloud processing from LiDAR, Radar, and multi-camera systems is desirable.
- Ability to work effectively in close cross-team collaboration is desirable.
Benefits
- Hybrid work environment with at least 3 days per week in the office.
- Eligibility for an annual bonus, equity compensation, and benefits.
Categories
ML EngineeringRobotics
About Aurora
Aurora builds the Aurora Driver, a self-driving system for heavy-duty trucks, and offers it as a driver-as-a-service to freight carriers. The company partners with truck OEMs and logistics networks, including Volvo Trucks, PACCAR, FedEx, Uber Freight, Werner, Schneider, and Ryder, to commercialize autonomous freight hauling. Founded in 2017 and headquartered in Pittsburgh, Aurora is a public company trading on Nasdaq under the symbol AUR.