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Meet the Team Acacia, part of Cisco, provides innovative silicon-based high-speed optical interconnect products to accelerate network scalability through advancements in performance, capacity, and cost. Our DSP ASICs, silicon photonic PICs, and coherent modules empower cloud and service providers to meet the fast-growing demand for data. We have assembled a team of cross-functional experts capable of solving the challenges of next-generation optical interconnects, resulting in industry-leading, award-winning products. Come join us at Cisco, named the #1 world's best workplaces, and do purposeful work that makes a global impact and gives back to a company culture that empowers an inclusive future for all. Your Impact As an ASIC Design Engineer on the STA team, you will play a pivotal role in extraction and static timing analysis (STA) flow development, convergence strategies, and correlation between PNR, Spice, and STA, while working alongside the Physical Design team. 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This position will be Hybrid from our San Jose, CA office location. Meet the Team This team crafts manufacturing test solutions for cutting-edge Optical Transceiver products. We are at the very crossroads between Engineering development, Program Management, and Contract Manufacturing and thus in a unique position to influence cross-functional strategy through our expertise and innovation. We're a high-performance team with high transparency, high expectations, and a strong track record of successes. Your Impact Drawing from your industry experience, you'll lead NPI test development of assigned optical transceiver products through their lifecycle from engineering samples to sustaining mode both as a technical leader and individual contributor. You'll be an effective cross-communicator to outside teams, and a patient mentor for junior Test Engineers. Job duties and responsibilities: Validation, characterization, and production test development of optical Transceiver products. 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Geographic Location Mexicali, Mexico in Unique Skills: Education and Experience Requirements Bachelor's Degree. 9 years of experience sufficient to successfully perform the essential functions of the job. Master's Degree7 years 7 year experience with Masters Degree in Engineering. Position Purpose: Assists with the planning, coordination, performance of design, analysis supporting the development and production of Gulfstream products and services. Job Description Principle Duties and Responsibilities: Essential Functions: Research and analysis of engineering data to solve high complexity problems. Responsible for the custom engineering support throughout the release process. Knowledge: Engineering incorporation and release processes. Previous exposure and general understanding of engineering specifications. Familiar with the asset manufacturing process and installation. Analytical, task/project administration, presentation skills. Proficient in CAD (CATIA V5). General understanding of Design Criteria. Research and analysis of engineering data to solve low to high complexity problems. Define engineering changes required. to solve these issues and incorporate design changes into engineering definition. Perform other duties as assigned. Other Requirements: Advanced English. Experience with Catia V5 for 3DB Design Experience with AutoCAD 2D design. Experience with designing custom engineering Self & results driven individual, and flexibility based on team needs. 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As part of our Silicon Technologies group, you'll help design and manufacture our next-generation, high-performance, power-efficient processor, system-on-chip (SoC). You'll ensure Apple products and services can seamlessly and efficiently handle the tasks that make them beloved by millions. Joining this group means you'll be responsible for crafting and building the technology that fuels Apple's devices. Together, you and your team will enable our customers to do all the things they love with their devices! The GPU Design Verification Engineer will be responsible for the pre-silicon RTL verification of sub-units in the Apple GPU. This includes deep understanding of the micro-architectural details of their block and how it works within the broader GPU design. A strong computer architecture background, and a solid foundation in verification methodology is required. 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