AI Vision Processors For Edge Applications
Our solutions make cameras smarter by extracting valuable data from high-resolution video streams.
Job Description
We are seeking a Software Engineer to develop and optimize low-level software and microcode for AI workloads on Ambarella AI SoCs. This role focuses on AI workload deployment, performance optimization, heterogeneous compute orchestration, and system-level debugging across the silicon lifecycle.
This is a hands-on engineering role at the hardware–software boundary.
Key Responsibilities
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.
Tooling & Infrastructure
Develop tools and infrastructure to streamline workload deployment, profiling, debugging, and performance analysis.
Enhance SDKs and workflows to simplify model and algorithm deployment to Ambarella AI platforms.
Cross-Functional & Customer Collaboration
Partner with architecture, hardware, compiler, and application teams to deliver production-ready solutions.
Support customers in optimizing and integrating their models onto Ambarella SoCs.
Qualifications & Skills
Required
Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.
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5 to 10 years of experience in systems software, embedded software, firmware engineering.
Strong C, Python and low-level programming experience.
Deep understanding of Computer architecture and Microprocessor fundamentals.
Experience with modern software development processes.
Strong analytical skills, with a passion for solving complex challenges.
Strong communication, interpersonal and planning skills.
Preferred
Experience with heterogenous compute core SoCs and accelerators.
Knowledge of Runtimes, Operating Systems and/or RTOS internals.
Experience debugging system-level issues across components and layers.
Nice to have
Knowledge of Deep Learning, Computer Vision fundamentals.
Knowledge of AI workloads (CNNs, LLMs/VLMs), particularly how they map efficiently to hardware.
What Makes You Successful in This Role
You enjoy working close to the hardware.
You are driven by performance optimization challenges.
You are comfortable navigating ambiguity in fast-moving, product-driven environments.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 166,000 USD - 188,000 USD for Level 3, and 188,000 USD - 212,000 USD for Level 4.
