- Meta (Austin, TX)
- …this role, you will be an integral member of an ASIC team to build accelerators for some of our top workloads enabling our data centers to scale efficiently. You ... video codec experts in the company, help architect state-of-the art machine learning accelerators and contribute to modeling these accelerators . Come work and… more
- Amazon (Austin, TX)
- …(UC) provides product Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud ... challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators , and software stacks enable us to take on technical challenges that… more
- Amazon (Austin, TX)
- …(UC) provides product Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud ... unimaginable a short time ago-even yesterday. Our custom chips, accelerators , and software stacks enable us to take on...power control schemes - Create and validate power management algorithms for various operating conditions - Lead peak power… more
- Amazon (Austin, TX)
- Description Our team is involved with pre- silicon design verification for custom IP. A critical requirement of the verification flow is the requirement of legal and ... Create custom API's to allow control over scheduling and randomness. Deploy algorithms to ensure concurrent code is safely constructed. Create coverage metrics to… more
- Meta (Austin, TX)
- …and will be part of a team that includes compiler, machine learning algorithms and software, firmware and ASIC experts. The ideal candidate will contribute to ... passes and optimizations. Implement and/or enhance code generation targeting machine learning accelerators 2. Work with algorithm research teams to map ML graphs to… more
- Amazon (Austin, TX)
- Description Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were ... unimaginable a short time ago-even yesterday. Our custom chips, accelerators , and software stacks enable us to take on...in between. We are not working on machine learning algorithms , but rather we work on the physical systems… more