Software Engineer Intern
About the role
AI Vision Processors For Edge Applications
Our solutions make cameras smarter by extracting valuable data from high-resolution video streams.
Job Description
Microcode summer intern engineers at Ambarella are responsible for the design, implement and test of advanced imaging and video algorithms across our line of proprietary SoCs. As a member of our team, you will be working with industry-recognized scientists and architects to bring our superior video quality to a variety of camera markets including automobile, IP-security and more.
For this position, we are seeking a talented intern with a particular interest in the firmware and tools development for a variety of camera markets.
Responsibilities
Develop a deep understanding of Ambarella’s DSP architecture to ensure the efficient use of hardware resources such as CPU cycles and memory during code development.
Design and develop microcode within the boundaries defined by the relevant algorithm and DSP hardware.
Research papers and implement some of the ideas on DSP.
Develop test codes for hardware blocks.
Requirements
A Bachelor’s degree in EE, computer engineering, CS or equivalent. Current master students in one of these aforementioned disciplines are preferred.
Solid experiences with C or C++..
Some experience with assembly code development and debugging.
Solid knowledge of scripting languages such as Perl or python.
Understand modern computer architecture including registers, interrupts, threads, on-chip memory and DRAM. Must be able to resolve data synchronization issues with computer architecture.
Must be comfortable with modern software development methodologies such as code review, unit testing, peer reviews, and more.
Familiarity with image processing and video compression standards (e.g., MPEG, H.264/265). Must have basic knowledge of video representation.
Familiarity with Neural Network frameworks such as TensorFlow, caffe, pytorch etc.
Excellent verbal and written communication skills. Excellent analytical, problem solving and presentation skills.
Excellent cross-functional, cross-site teamwork abilities.
Responsibilities
- Develop a deep understanding of Ambarella’s DSP architecture
- Design and develop microcode within the boundaries defined by the relevant algorithm and DSP hardware
- Research papers and implement some of the ideas on DSP
- Develop test codes for hardware blocks
Qualifications
- A Bachelor’s degree in EE, computer engineering, CS or equivalent
- Solid experiences with C or C++
- Some experience with assembly code development and debugging
- Solid knowledge of scripting languages such as Perl or Python
- Understand modern computer architecture including registers, interrupts, threads, on-chip memory and DRAM
- Familiarity with image processing and video compression standards
- Familiarity with Neural Network frameworks such as TensorFlow, caffe, pytorch
- Excellent verbal and written communication skills
Skills mentioned
About VisLab (an Ambarella Inc. company)
VisLab is an Italian company working on computer vision and environmental perception for vehicular applications. It was founded in the early 90s as a research laboratory of University of Parma, Dipartimento di Ingegneria dell'Informazione. It started its activities in 1990, with its involvement within the Eureka PROMETHEUS Project. Since then the research group focused on vehicular applications. VisLab, directed by Alberto Broggi, undertakes basic and applied research, including the perception of the surrounding environment in vehicular applications using cameras and fusion with other sensors. Its researchers contribute to fields such as artificial vision, image processing, machine learning, neural networks, robotics, and sensor fusion. In 2009, eleven VisLab researchers started a spinoff company, named VisLab S.r.l., to commercialize the results of their main researches. In 2015, VisLab was acquired by Silicon Valley company Ambarella Inc. (NASDAQ: AMBA), a leading developer of low-power, high-definition (HD) and Ultra HD video compression, image processing, and computer vision solutions. The company’s products are used in a variety of IP security, sports, wearable, drone, and automotive video cameras. After the acquisition of VisLab by Ambarella Inc., on March 28, 2018, Ambarella announced its fully autonomous EVA (Embedded Vehicle Autonomy) vehicle on Silicon Valley roads to industry analysts and customers. EVA has been trained to deal with the various traffic scenarios presented by Silicon Valley’s challenging urban environment. The fully autonomous car combines software and algorithms based on VisLab’s 20+ years of autonomous vehicle research with Ambarella’s low-power CV1 embedded computer vision processors based on its CVflow architecture. For more details please visit our website www.ambarella.com or send us an email at info@vislab.it