Staff Engineer, Embedded Firmware

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Develop cutting-edge firmware for embedded memory technologies, including CXL and SoC-based future memory solutions. Design and deliver high-performance, reliable, and resource-optimized firmware that unlocks the full potential of these innovative memory technologies.  Implement SystemC models for hardware IPs on the Synopsys VDK virtual platform. Develop firmware on a virtual platform.

Location: Onsite at our San Jose office 5 days a week

Reports to: Senior Principal Manager

What You’ll Do

• Analyze product requirements to derive software requirements and write a Software Requirement Specification (SRS) document.
• Provide feedback on hardware operation to ensure that software requirements are met.
• Design the overall software architecture based on the derived software requirements and document it in a High-Level Design (HLD) document. Place software layers and modules, describe their roles, and establish algorithms and behavior policies for each layer and module. Write a Detailed Level Design (DLD) document that outlines the design details of each layer and module.
• Implement software based on software design and perform unit testing to verify its correctness.
• Test software based on the requirement analysis and design.
• Analyze defects found during integration testing, system testing, or customer evaluation phases; improve them by refactoring codes
• Profile performance bottlenecks using profiling tools like Intel VTune Amplifier; optimize performance-critical parts.
• Reviews documents or source code written by others to improve their quality and share information.

What You Bring

• Bachelors with 10+ years of relevant industry experience, or Masters with 8+ years or PhD 5+ years in embedded firmware development or related field preferred.
• Proficiency in C++14 is mandatory, and knowledge of C++17 is also required.
• Experience with SystemC modeling of hardware IPs for Synopsys VDK is preferred.
• Ability to write C/C++ code for ARM CPU without an operating system.
• Familiarity with Trace32 hardware debugger and scripts to identify and resolve code issues.
• Proficiency in Git at Linux, Gitlab, GitHub, Bitbucket.
• Knowledge of unit test implementation using Google Test and Google Mock.
• Understanding of software development processes and deliverables.
• Familiarity with Linux OS (Ubuntu) and kernel code.
• Experience with collaboration tools such as Confluence and Jira to work with team members and manage projects.
• Strong analytical skills to identify complex problems and develop efficient solutions.

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