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1667 Trabajos a distancia y desde casa en línea

Homeoffice Sr. Software Engineer AI & ADAS Tools

Lucid Motors · Phoenix, Estados Unidos De América · Remote

  • Professional
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Leading the future in luxury electric and mobility
At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.
 
We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.
 
Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.

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.

Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs.  (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)

By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice.

To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.