Top Tech Jobs & Startup Jobs

Lead product and manufacturing engineering for advanced optical products, including NPI, DfM requirements, production transfer, manufacturing readiness, characterization, PFMEA, yield improvement, and cost analysis. The role requires deep expertise in silicon photonics, co-packaged optics, and high-speed components, along with automated yield monitoring, database querying, device testing, and cross-functional technical ownership.

Develop embedded firmware for CXL and PCIe endpoint devices, including near-memory accelerators and memory-expansion controllers. Responsibilities include contributing to project goals and schedules, leading distributed engineering projects, collaborating with architecture, QA, validation, systems, product, documentation, and customer teams, and mentoring engineers. The role requires expertise in Zephyr, C/C++, ARM M7 debugging, encryption standards, and PCIe concepts.

Leads a firmware engineering team developing CXL and PCIe endpoint devices. Plans and delivers embedded software, manages engineering resources, coordinates distributed cross-functional teams, mentors engineers, and supports recruitment and talent development. The role requires expertise in C, embedded systems, RTOS environments, Arm and RISC-V architectures, peripheral drivers, secure firmware, TrustZone, secure boot, and embedded debugging. A master’s degree and 12+ years of semiconductor experience are required.

The Sr. Staff Thermo-Mechanical Engineer will focus on mechanical simulation and structural reliability of semiconductor test infrastructure, ensuring mechanical robustness and reliability of high-power semiconductor programs.

Ten-week engineering internship rotating through digital signal processing, digital communications, digital and analog design tracks. Interns will model and evaluate systems, contribute to implementation or verification projects, conduct validation activities, document technical work, and present results. The program is intended for students nearing completion of an electronic engineering, telecommunications, or related degree and requires relocation to Cordoba for the summer.

The Staff/Senior Staff QA Engineer will develop automation frameworks, validate firmware, drive architectural decisions, and collaborate with teams to ensure software quality.

Leads a software quality assurance team validating firmware, memory controller, PCIe, and CXL products. Manages engineers, contributes Python and C/C++ test code, develops and maintains Pytest and GTest suites, debugs failures, improves CI/CD test automation, reviews code, drives architecture and quality standards, and mentors engineers. The role also applies prompt engineering and AI-based tools to generate or enhance test scenarios.

Develop and maintain automated QA and validation tests for PCIe, CXL, DDR, memory controller, storage, and firmware products. Create Python and C/C++ unit and integration tests using Pytest and GTest, debug automation failures, analyze firmware logs and protocol traces, and integrate testing into CI/CD pipelines. Collaborate cross-functionally on protocol compliance, performance validation, and high-quality releases.

Develops and executes quality assurance strategies for Marvell switch platforms, SDKs, NOS solutions, firmware, and embedded systems. Responsibilities include test planning, functional and performance testing, Python automation, CI/CD integration, coverage improvement, packet and protocol validation, defect reporting, and release qualification. The role requires troubleshooting low-level networking and firmware behavior, reviewing test results, participating in code reviews, and collaborating across development, validation, and release teams.

Design, develop, and maintain production-grade QA and automation systems for C/C++ and Python components. Create and enhance Pytest and GTest test suites, debug failures using language-specific tools, validate firmware and CXL/PCIe technologies, and integrate testing into CI/CD pipelines. The role contributes to architecture, code reviews, technical decisions, cross-functional planning, and mentoring while applying AI tools and prompt engineering to improve test generation and quality.