SummaryImagine being at the forefront of an evolution where innovative AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful
SummaryIn this role, you will have the opportunity to work on defining the roadmap for Apple GPU architecture and unleash the potential for new applications. You will work cross-functionally with several hardware and software teams to
SummaryIn this role, you will have the opportunity to work on defining the roadmap for Apple GPU architecture and unleash the potential for new applications. You will work cross-functionally with several hardware and software teams to
SummaryImagine being at the forefront of an evolution where modern AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful
CoreWeave is The Essential Cloud for AI. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs,
Reality Labs (RL) focuses on delivering Metas vision through Virtual Reality (VR), Augmented Reality (AR) and Wearable AI Devices. The compute performance and power efficiency requirements of our AI devices require custom silicon. Reality Labs Silicon
SummaryAt Apple, our Platform Architecture group is responsible for connecting our hardware and software into one unified system. You’ll collaborate with engineers across Apple to design how all of our technologies work in unison, drive development
General Information Job Title Applications Engineering, Sr Staff Engineer- RTL-to-GDS/Fusion Compiler Job ID 13802 City Sunnyvale State/Province California Date Posted 15-Dec-2025 Job Category Engineering Job Subcategory Applications Engineering Hire Type Employee Remote Eligible No Base Salary Range:
General Information Job Title Memory Compiler Architect - 15954 Job ID 15954 City Sunnyvale State/Province California Date Posted 02-Mar-2026 Job Category Engineering Job Subcategory R&D Engineering Hire Type Employee Remote Eligible No Base Salary Range: $226000 -
General Information Job Title R&D Engineering, Staff Engineer (Fusion Compiler GPU Acceleration) Job ID 17296 City Sunnyvale State/Province California Date Posted 01-May-2026 Job Category Engineering Job Subcategory R&D Engineering Hire Type Employee Remote Eligible No Base Salary
Minimum qualifications: Bachelors degree in Electrical Engineering, Computer Engineering, or a related technical field. 10 years of experience in design for Digital Signal Processing (DSP) or high-speed digital logic. Experience in Verilog/SystemVerilog or VHDL. Experience with
Job description AWS Neuron is a software stack for the Annapurna Inferentia and Trainium machine learning accelerators hosted inside AWS EC2 Trn1/2 and Inf1 servers. As the Principal Engineer for the Neuron Distributed Training team, you
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Annapurna Labs was a startup acquired by AWS in 2015 and is now fully integrated. If AWS is an infrastructure company, think of Annapurna Labs as the infrastructure provider of AWS. Our org spans silicon engineering,
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture. 5 years
Meta is seeking a Software Engineer to join our Systems ML Engineering team, focused on building and optimizing the machine learning infrastructure that powers Metas products at massive scale. In this role, you will design and
Minimum qualifications: Bachelors degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. 12 years of experience in computer architecture, chip architecture, or hardware-software co-design. Experience developing systems for performance modeling,
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. Experience low-level GPU programming (CUDA, Triton,
Minimum qualifications: Bachelors degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 10 years of experience in computer architecture, chip architecture, or hardware-software co-design. Experience developing systems for performance
Job Description About the Team The Model Deployment & Inference Solutions team in GM AV deploys machine learning models from training frameworks (e.g. PyTorch) onto autonomous vehicle hardware. Our mission is two-fold: build the ML deployment