Compiler Engineer Intern

aiWare is an NPU (Neural Processing Unit) developed by engineers working in close cooperation with our automated driving teams to create a flexible and integrated solution.

With processors (CPUs, GPUs, NPUs) getting more complex, development efforts become more and more software-heavy. Creating efficient hardware requires building a sophisticated compiler, profiling the hardware, and optimizing it to the needs of the workloads that will be run on it.

You will have the opportunity to get a glimpse inside the workings of specialized hardware and the software surrounding it.

Our team is currently responsible for 3 main projects:

• Compiler development for custom NPU
• Performance estimator for runtime execution of different Neural Network workloads
• GPU-accelerated, bit-accurate, high-performance arithmetic simulator of the aiWare NPU

Job Summary

• Develop neural network compiler for custom NN accelerator hardware in C/C++ environment
• Improve performance and find creative ways to make different Neural Network workloads more efficient
• Proactively explore new solutions and ideas for our projects, and share it with the team

Key Qualification

• Ongoing (active/passive) full-time university studies for at least one more year (preferably master’s studies)
• Advanced knowledge of C++
• Basic knowledge of Python for scripting and test development
• Availability of at least 20 working hours per week
• Intermediate level English knowledge
• Precise, reliable, quality focused attitude
• Independent and proactive attitude
• Social competency, flexibility and ability to work in a team

Considered as a plus

• Artificial neural network experience
• Basic parallelization skills (threads, mutex, etc.)
• Working knowledge of Git, CMake, Bash, Jenkins
• Experience in developing performance critical software
• Experience in CUDA

What We Offer

• Possibility to gain valuable work experience at the forefront of the Hardware development sectors
• Getting deeper understanding of:
  • C++
  • Qt, GUI features
  • Development of backend features
• Competitive student salary
• Inspiring and supportive working environment
• Teambuilding events and other benefits for students
• Flexible working hours and Home Office possibility
• Long-term job opportunity
• Possibility of an immediate start
• In-service training opportunity
• Fitness opportunities
• Free lunch every workday at one of the best all-you-can-eat restaurants in Budapest or delivered by Wolt for Work