The Italian Institute of Artificial Intelligence AI4I is seeking young, talented and ambitious Heads of R&D Laboratories to lead the next generation of AI research and development in AI-driven industries. Call for Founding Heads of R&D Labs Deadline: January 31, 2026, 11:59 PM CET We welcome applications from researchers working across a wide range of AI domains – including Symbolic,...
Sr. HSIO Validation Engineer, Annapurna Labs Machine Learning Acceleration As an HSIO Validation Engineer, you will be responsible for ensuring correct operation, bring‑up, and scalability of high‑speed I/O including PCIe, HBM, UCIe, and other protocols used in our custom machine learning chips. You will work with architecture, IP owners, DV, software, and signal integrity teams to productize...
Deadline January 31, 2026, 11:59 PM CET Location AI4I, OGR, Turin, Italy Hybrid Work Flexible arrangements can be negotiated. About Our R&D Labs R&D Labs are the cornerstone of the Institute’s organizational structure. Each Lab focuses on either foundational AI methods or application-driven domains and expands well beyond its core endowment by attracting industrial collaborations and...
The Italian Institute of Artificial Intelligence AI4I is seeking for young, talented and ambitious Heads of R&D Laboratories to lead the next generation of AI research and development in AI-driven industries We welcome applications from researchers working across a wide range of AI domains – including Symbolic, Generative, Agentic, and Physical AI – as well as frontier research areas such as...
A renewable 4-year appointment, with a pathway to a permanent position based on performance (KPIs and Targets). Organisation/Company AI4I Research Field Technology » Future technology Researcher Profile Leading Researcher (R4) Positions PhD Positions Country Italy Application Deadline 31 Jan 2026 - 23:59 (Europe/Rome) Type of Contract Other Type of Contract Extra Information A renewable 4-year...
Call for Founding Heads of R&D Labs The Italian Institute of Artificial Intelligence AI4I is seeking for young, talented and ambitious Heads of R&D Laboratories to lead the next generation of AI research and development in AI-driven industries We welcome applications from researchers working across a wide range of AI domains – including Symbolic, Generative, Agentic, and Physical AI – as well as...
Deadline January 31, ****, 11:59 PM CET Location AI4I, OGR, Turin, Italy Hybrid Work Flexible arrangements can be negotiated. About Our R&D Labs R&D Labs are the cornerstone of the Institute's organizational structure. Each Lab focuses on either foundational AI methods or application-driven domains and expands well beyond its core endowment by attracting industrial collaborations and competitive...
ML Kernel Performance Engineer, AWS Neuron, Annapurna Labs The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The Acceleration Kernel Library team is at the forefront of maximizing performance for AWS's custom ML...
The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all...
Applied Scientist II, Machine Learning Accelerator – Annapurna Labs Our team is involved with pre-silicon design verification for custom IP. A critical requirement of the verification flow is the creation of legal and realistic stimulus for a custom Machine Learning Accelerator Chip. Content creation is built using formal methods that model legal behavior of the design and then solve the problem...
The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all...
The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The Product: The AWS Machine Learning accelerators (Inferentia/Trainium) offer unparalleled ML inference and training performances. They are enabled through...
Overview The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The Acceleration Kernel Library team focuses on maximizing performance for AWS's custom ML accelerators, crafting high-performance kernels for ML functions at...
Firmware Engineer, Annapurna Labs, ML Acceleration - Performance Instrumentation & Developer Tools AWS Utility Computing (UC) provides product Annapurna Labs (our organization within AWS UC) 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,...
Custom ML acceleration SoCs (System on Chips) are the brains behind AWS's Trainium Machine Learning servers. Our team builds functional models of these SoCs and the servers they power. Our models are used by AWS internal teams for silicon verification and to left-shift software development (as a virtual platform). We are looking for a leader who can quickly scale the team and begin executing on a...
Job ID: ******* | Amazon.com Services LLC The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of...
SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration As an SDE in the pre-silicon team, you will be responsible for driving the pre-silicon hardware/software co-development for our machine learning chips. You will work with architecture, design and emulation teams to build new silicon functionality. You will write bare-metal software to verify the end-to-end...
Machine Learning Performance Engineer, Annapurna Labs Our team is responsible for the AWS Neuron software stack, which powers Generative AI and other advanced ML workloads on AWS's custom-built ML accelerators — Inferentia and Trainium. These accelerators deliver best-in-class performance and cost-efficiency for ML inference and training in the cloud. We're building a new core group of engineers...
Senior Strategic Go to Market (GTM) Specialist – Amazon Annapurna Labs ML Team Senior Strategic Go to Market (GTM) Specialist on the Amazon Annapurna Labs ML team is responsible for driving growth with Trainium and Neuron partners, ISVs and customers. This position focuses on understanding influential partners and solutions that will expand the scope and capabilities of Trainium and develop...
Job Summary You will join a dynamic team working at the cutting edge of the GenAI revolution by applying AI to AI. You will work on building agents, tools, and models to simplify and accelerate customer adoption of Neuron, the software stack supporting Amazon's Machine Learning silicon: Trainium. Partnering with external and internal customers, you will identify key obstacles and opportunities...