About the role
Job title:
Software Engineer II
Job Location:
San Jose, CA 95134
Salary:
$135,960 - $182,520
Job duties:
Design and develop robotic simulation systems to verify autonomous driving algorithms before real-world driving tests. Design highly-scalable software to run simulation jobs in the cloud and provide tools for other developers to analyze simulation results. Collaborate with software and research engineers to design scenarios and metrics to predict real-world performance of autonomous driving algorithms.
Requirements:
Master's degree in Software Engineering, Computer Science, or related. Requires skills and experience to involve:
- Deep software programming skills and proficiency in C++ and Python.
- Demonstrated experience with highly complex simulation systems for autonomous vehicles.
- Demonstrated knowledge of Docker, Apache HTTP Server, Apache Kafka, Apache Spark, Apache Flink, Django, MySQL, and MongoDB.
- Deep knowledge in complex software architecture, Linux OS, and software performance analysis..
Please Apply online at boards.greenhouse.io/didi
Aplyr's read
Didi is a leading ride-hailing company in China, attracting tech-savvy professionals focused on innovation in autonomous and machine learning technologies.
What's promising
- •Didi is a dominant player in China's ride-hailing market, offering significant growth opportunities.
- •The company invests heavily in autonomous vehicle technology, attracting top engineering talent.
- •Didi's focus on machine learning and AI offers cutting-edge projects for tech professionals.
What to watch
- •Didi faces regulatory challenges in China, impacting operational stability.
- •The company has experienced data privacy concerns, affecting its reputation.
- •Intense competition from other ride-hailing services poses a threat to market share.
Why Didi
- •Didi's extensive user base in China provides vast data for AI and machine learning innovations.
- •The company's focus on autonomy positions it at the forefront of transportation technology.
- •Didi's integration of AI in ride-hailing enhances efficiency and user experience.
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