Key Responsibilities
- Design and develop robust, scalable software tools and pipelines that increase the velocity of ADAS feature delivery to customers.
- Architect and implement systems to automatically characterize ADAS feature failures, monitor real-world performance, and triage issues.
- Build and maintain tools to automate the root-cause analysis of ADAS anomalies using large-scale vehicle data.
- Collaborate closely with embedded software, AI, and QA teams to understand their needs and deliver tools that enhance productivity and quality.
- Leverage cloud development tools and data platforms to build high-performance data pipelines for ADAS performance analysis.
- Contribute to the strategic vision for our ADAS toolchain, identifying opportunities to apply advanced techniques like generative AI to improve efficiency.
Required Qualifications
- BS or MS degree in Computer Science, Computer Engineering, or a related field.
- 5+ years of software development experience for embedded systems or in an automotive or cloud environment. (3+ years with a Master's degree).
- Strong proficiency in Python or C/C++.
- Hands-on experience with cloud development platforms such as AWS/Azure/OCI.
- Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or JAX.
- Knowledge of vector databases and their application in large-scale data analysis.
- Experience with Generative AI models and fine-tuning (preferred).
- Excellent problem-solving skills and the ability to work effectively in a fast-paced with remotely distributed teams in a collaborative environment
At Lucid, we don’t just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations.
