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Staff Software Engineer

Ambarella
Posted 10 days ago, valid for 16 days
Location

Headquarters, KY 40311, US

Salary

Competitive

Contract type

Full Time

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AI Vision Processors For Edge Applications

Our solutions make cameras smarter by extracting valuable data from high-resolution video streams.

Job Description

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.




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