Graphics FE Implementation Engineer

Imagine what you could do here.

At Apple, new insights have a way of becoming extraordinary products, services, and customer experiences very quickly.

Bring passion and dedication to your job and there's no telling what you could accomplish!

Dynamic, resourceful people and inspiring, innovative technologies are the norm here.

The people who work here have reinvented entire industries with all Apple Hardware products.

The same passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Join the team that optimizes and delivers world-class GPUs into Apple Silicon.

As part of the GPU FE Implementation team, you'll be responsible for crafting and building a GPU that enriches the lives of millions of people every day.The successful candidate will work closely with the RTL and PD (physical design) teams and be responsible for synthesis, analysis, and optimization of the delivered IP.

For this role, use and develop advanced techniques spanning RTL/Synthesis/PNR to meet challenging timing, power and area targets while also working with our partners in STA and DFT to achieve successful first silicon.

Through this collaboration, you will deliver the best-in-class GPU's for the best consumer products.

If you're ready to help chart the future of Apple Silicon, we'd love to talk to you.Collaboration with Physical Design and Timing Analysis teams on physical concepts (floor-planning, placement, congestion, and timing constraints) Demonstrated ability to solve complex problems across multiple technical domains Ability to analyze architectural critical paths and drive multi-block closure across RTL Design and Physical Design teams Develop and Drive adoption of innovative methodologies across projects and teams Familiarity with DFT insertion Familiarity with simulation, debugging tools and experience of working closely with design verification team Experience working on GPUs/CPUs is desirableArray