A Software Engineer role focused on developing and implementing synthetic sensor simulation models and algorithms for autonomous vehicle systems, with an emphasis on machine learning and sensor data realism.
Key Responsibilities
Research, develop, and implement synthetic sensor simulation methods
Analyze and evaluate the realism and utility of synthetic sensor data
Collaborate with cross-functional teams on map needs and requirements
Requirements
Bachelor's degree and 1 year of industry experience.
Deep understanding of machine learning fundamentals with hands-on experience in training and evaluating modern ML models.
Strong Python skills with experience in deep learning frameworks, e.g., PyTorch, TensorFlow, or Jax.
Research, develop, and implement state-of-the-art synthetic sensor simulation methods.
Analyze and characterize the realism and utility of synthetic sensor data.
Answer critical questions about sensor data and autonomy performance.
Collaborate with stakeholders across autonomy, infrastructure, and systems teams on map needs and requirements.
Benefits & Perks
Compensation/salary range between $145,830 and $219,000 depending on experience and qualifications