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# Staff Software Engineer

- **Company:** Ambarella, Inc.
- **Location:** Headquarters, ID, United States
- **Experience:** Expert
- **Salary:** $166,000.0 - $188,000.0
- **Contract:** Permanent contract
- **Skills:** C (Programming Language), Artificial Intelligence, Computer Vision, Profiling, Computer Engineering, Software Debugging, Microprocessors, Embedded Software, Firmware, Python (Programming Language), Performance Tuning, Real-Time Operating Systems, Software Engineering, System Programming, Large Language Models, Deep Learning, AI Platforms, Information Technology
- **Published:** October 26, 2026
- **Apply:** https://www.adzuna.com/details/5658635242

## About the Role

* 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.

## Description

* 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.