Job Description:

The rapid acceleration of deep learning is leading to new generations of high-performance and low-power architectures to bring cutting edge artificial intelligence algorithms to diverse new markets. At Ambarella, architecture engineers work at the forefront of this technological leap in computer architecture by designing new systems to accelerate key functions of artificial intelligence. Studying industry trends across deep learning and computer architecture, we create new ideas and concepts for software systems and hardware design, justify and document new features and train others to leverage the most of our architecture. Our team members translate algorithms into hardware design specifications, identify performance bottlenecks, optimize system performance and build our knowledge into software libraries to benefit other internal teams and external customers across different target markets. Our team works closely with all members of our high level software, compiler and SoC design teams, thus our team clearly communicates in both verbal and written form. We actively seek candidates with hands-on hardware modeling experience and critical software expertise to contribute to the next generation of our SOCs.

Requirements:

•       MS in Computer Science, EE, or related degree and 3 - 5 year's work experience.

•       In-depth knowledge of computer architecture, performance modeling and optimization

•       Demonstrate ability to quickly understand and improve large software programs with a diverse collection of coding styles.

•       Excellent C++ programming skills with experience in object-oriented programming techniques.  Knowledge of software design pattern is a big plus. Our simulator and compiler frequently use these techniques.

•       Experience with hardware design, simulation and verification.

•       CUDA programming experience and knowledge of deep learning/artificial intelligence preferred.

The base salary range is $139,000 - $177,000. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.