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
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
In this role you will help scale and optimize our training systems and core model code. You’ll own critical infrastructure for large-scale training, from managing GPU/TPU compute and job orchestration to building reusable and efficient JAX
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a
Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadrics co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging
Job Details: Job Description: About the Team Join the compiler team responsible for the industry-leading Intel Fortran compiler. This position is perfect for individuals who thrive on constant learning, diving deep into complex problems, and collaborating with a
Job Details: Job Description: The Role and Impact Join Intels Compiler Engineering team, where you will collaborate on cutting-edge technologies driving the next generation of software innovation. As a Compiler Engineer, you will play a critical role in
Company:Qualcomm Technologies, Inc. Job Area:Engineering Group, Engineering Group GPU ASICS Engineering General Summary: . Minimum Qualifications:• Bachelors degree in Computer Engineering, Computer Science, Electrical Engineering, or related field. Preferred Qualifications: • Masters degree or PhD in
Company:Qualcomm Technologies, Inc. Job Area:Engineering Group, Engineering Group Machine Learning Engineering General Summary: About the Role Qualcomm AI Hub is the platform for on-device AI — enabling developers to easily integrate, optimize, and deploy ML models
AMD Senior Product Manager At AMD, our mission is to build great products that accelerate next-generation computing experiencesfrom AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration,
NVIDIAs Invention of the GPU NVIDIAs invention of the GPU transformed computer graphics, parallel computing, and modern AI. Today, NVIDIA high-performance processing platforms power breakthroughs across generative AI, autonomous systems, scientific computing, robotics, and high-performance data
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: 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
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).