Jobs at Ambarella

• Define and execute verification strategies and test plans for complex digital IP, subsystems, and SoCs.
• Architect and develop reusable verification environments using SystemVerilog, UVM, Verilog, C/C++, and Python.

About the roleMemory is where a lot of system-level problems come to die. Marginal timing, a corner-case power state transition, a customer platform that fails one boot in ten thousand — these issues are expensive to reproduce, slow to root-cause, and they tend to come back.

• Support product marketing for Ambarella in an assigned subset of robotics, drones / UAVs, machine vision, industrial automation, and adjacent Physical AI end markets.
• Develop go-to-market strategy, including product definition (hardware and software), internal engineering deliverables, external branding, demonstrations, tradeshows.

• M.S. degree or M.S. Degree (in progress) in Computer Science, Computer Engineering,
• or related field.

• Develop deep learning and computer vision algorithms and systems.
• Design, train, and optimize Transformer models and variants.

AI Vision Processors For Edge ApplicationsOur solutions make cameras smarter by extracting valuable data from high-resolution video streams.
Job Description

Ambarella has some exciting internship opportunities for self-motivated and creative students near completing of their master's degree.

• 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.

• Low-Level & Runtime Development

Develop deep expertise in Ambarella AI SoC and accelerator architecture.
Design, implement, and debug microcode, runtime, and system-level software to deploy AI workloads.
Efficiently utilize heterogeneous compute cores and multi-level memory hierarchies to maximize performance.

• Develop ML and computer vision algorithms/systems.
• Training and optimization of deep learning/ML based computer vision algorithm for edge devices.

• Conduct market research and analysis to identify opportunities for edge AI server and IoT gateway silicon products.
• Analyze customer needs, competitor activity, and market trends to inform product development.