3 months ago
Base Salary
$189k - $303k/yr
Responsibilities
- Lead collaboration and implementation of perception algorithms for the Aurora Driver.
- Research and develop state-of-the-art deep learning and machine learning models for challenging perception scenarios.
- Develop verification and validation technologies and techniques.
- Partner with online maps, simulation, and safety engineers to prepare online mapping technology for driverless operation.
- Build infrastructure and tests supporting go/no-go deployment decisions.
- Integrate, test, and deploy production-ready solutions into the Aurora Driver’s production code.
Requirements
- Excellent software engineering skills in Python and/or C++.
- Extensive experience with a deep learning framework such as PyTorch.
- Extensive experience in computer vision, machine learning, deep learning, or another relevant artificial intelligence field.
- Relevant self-driving, autonomy, or robotics industry experience is desirable.
- Open-source contributions and a strong machine learning publication record are desirable, including work associated with relevant top-tier conferences or journals.
Benefits
- Hybrid work arrangement with at least three days per week in the office.
- Eligibility for an annual bonus, equity compensation, and benefits.
- Commitment to workplace safety, inclusion, and reasonable accommodations.
Categories
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.