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. • 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.