Staff Software Engineer

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 DevelopmentDevelop 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 & InfrastructureDevelop 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 CollaborationPartner 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:

• RequiredMaster’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.
• PreferredExperience 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 haveKnowledge 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.