Senior Software Engineer - Autonomy Evaluation

General Motors Australia & New Zealand

Not specified
3+ years data analysis experience
Proficiency with pandas numpy scipy
Bachelor's degree in cs or engineering
General Motors Australia & New Zealand is seeking a Senior Software Engineer for its Autonomy Evaluation team, focusing on the design and implementation of analysis algorithms that enhance the evaluation of autonomous driving technologies. The ideal candidate should have experience in data analysis and machine learning, with a strong background in working with large datasets and statistical methods

Job Summary

  • Join the Evaluation team to build the ecosystem that powers GM's autonomous driving technology development and scaling.
  • You will design analysis algorithms to summarize metrics from simulations and maintain primary autonomy evaluation dashboards.
  • Leverage vision-language models and large language models to classify autonomy performance and prioritize validation efforts.

Matching Summary

Match Score: 85

General Motors Australia & New Zealand is seeking a Senior Software Engineer for its Autonomy Evaluation team, focusing on the design and implementation of analysis algorithms that enhance the evaluation of autonomous driving technologies. The ideal candidate should have experience in data analysis and machine learning, with a strong background in working with large datasets and statistical methods.

Skills & Requirements

Must-have

  • 3+ years data analysis experience
  • Proficiency with Pandas NumPy SciPy
  • Bachelor's degree in CS or Engineering
  • Experience with large-scale datasets
  • Statistical methods for ML evaluation

Nice-to-have

  • Effective visualization of quantitative data
  • Experience evaluating robotics systems
  • Knowledge of sensor data analysis
  • Curiosity for root-cause analysis
  • Ability to decompose multi-dimensional spaces

Key Requirements

  • 3+ years applied experience in data analysis or ML evaluation
  • Bachelor's degree in Computer Science, Data Science, Mechanical or Aerospace Engineering
  • Proficiency with Python libraries including Pandas, NumPy, and SciPy

Work Rights

Not specified

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