Summary
Pony.ai is a global leader in autonomous mobility, committed to developing the safest autonomous driving capabilities. They are seeking a Software Engineer Intern to design and implement algorithms for AI decision-making and build scalable data pipelines for large-scale data processing.
Responsibilities
- Design and implement algorithms and evaluation metrics to drive core AI decision-making
- Build scalable data pipelines and toolchains for large-scale data ingestion, batch processing, and evaluation
- Design system-level evaluation metrics, testing frameworks, and simulation environments across business components
Skills
- Strong programming skills in C/C++, Python, and software design
- Strong foundation in mathematics and theoretical computer science, such as linear algebra, calculus, graph theory, computational geometry, combinatorial optimization algorithms, stochastic processes, and complexity analysis
- Possessing solid engineering discipline, or demonstrating strong interest and potential in building large-scale systems, with the ability to maximize performance while keeping complexity and cost to a minimum
- Pursuing a BS/MS or Ph.D in Computer Science or a related field
- Experience in large data set processing and familiarity with real time systems
- Solid experience in a fast-paced and structured engineering environment
- Full stack experience including both front end and back end is preferred
- Statistics analysis experience is preferred
Qualifications
Must Haves
- Strong programming skills in C/C++, Python, and software design
- Strong foundation in mathematics and theoretical computer science, such as linear algebra, calculus, graph theory, computational geometry, combinatorial optimization algorithms, stochastic processes, and complexity analysis
- Possessing solid engineering discipline, or demonstrating strong interest and potential in building large-scale systems, with the ability to maximize performance while keeping complexity and cost to a minimum
- Pursuing a BS/MS or Ph.D in Computer Science or a related field
- Experience in large data set processing and familiarity with real time systems
- Solid experience in a fast-paced and structured engineering environment
Nice to Haves
- Full stack experience including both front end and back end is preferred
- Statistics analysis experience is preferred