Strong Compute jobs

Sr. Staff Engineer, Computer Vision Burnaby, Canada posted: Posted 25 Days Ago

Principal Computer Systems Analyst - Windows United States-Maryland-Baltimore

Senior Agentic AI Engineer Yerevan posted: Posted 30+ Days Ago

Machine Learning Engineer India - Hyderabad posted: Posted 7 Days Ago

Data Scientist & Machine Learning Researcher 2 Locations posted: Posted 30+ Days Ago

Senior Computer Scientist- Developer Experience 2 Locations posted: Posted 30+ Days Ago

Lead AI Solution Engineer IN, BANGALORE posted: Posted 30+ Days Ago

Senior Engineer - Embedded Computing - "CLEARANCE REQUIRED" Niskayuna posted: Posted 30+ Days Ago

Senior Computer Vision Engineer Menlo Park, California posted: Posted 16 Days Ago

Dir, Machine Learning Eng San Jose posted: Posted 30+ Days Ago

Machine Learning - Compiler Engineer II, Annapurna Labs Seattle, Washington, USA 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 enabled by cutting edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. AWS Neuron and Inferentia are used at scale with customers like Snap, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: As a whole, the Amazon Annapurna Labs team is responsible for silicon development at AWS. The team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. The AWS Neuron team works to optimize the performance of complex neural net models on our custom-built AWS hardware. More specifically, the AWS Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and MXNET, and converts them into code suitable for execution. As you might expect, the team is comprised of some of the brightest minds in the engineering, research, and product communities, focused on the ambitious goal of creating a toolchain that will provide

Sr. Computer Scientist (Data Platform Engineer) Bangalore posted: Posted 30+ Days Ago

Compute Patching and Automation Senior Manager 5 Locations posted: Posted 4 Days Ago

Senior Hardware Verification Engineer Hyderabad posted: Posted 30+ Days Ago

Senior Machine Learning Engineer Seattle, Washington, United States Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact Are you eager to contribute to building AI products impacting the world for the greater good? As an ML Engineer at Axon, you will contribute to developing AI solutions transforming the public safety space and supporting our company's mission: accelerate justice, protect truth, and save lives. Working closely with other ML engineers and scientists, you will enable new AI capabilities for Axon's products (Fleet, Draft One, Axon Air, VR and more) by supporting the training, evaluation, testing and deployment of machine learning models on Axon devices and cloud. As part of a multidisciplinary team, you will be exposed to a wide range of AI domains and applications: from computer vision to speech recognition and natural language understanding. What You'll Do Location: Hybrid from our office in Seattle, Washington. Reports to: Manager, Machine Learning Engineering - Collaborate with scientists and product managers to build proof-of-concepts (POCs) contributing to shaping

Principal Systems Engineer – Clinical Computation Platform India - Hyderabad posted: Posted 30+ Days Ago

Director of Engineering – Machine Learning & AI Products San Jose posted: Posted 30+ Days Ago

Senior Scientist – Research Computational Biology (ARIA) 3 Locations posted: Posted 30+ Days Ago

Senior Analyst, Demand Planning Gurugram, India posted: Posted 30+ Days Ago

Senior Applied Scientist, Agentic Automated Reasoning Group New York, New York, USA The Agentic Automated Reasoning Group is pioneering the next generation of neuro-symbolic tools-fusing breakthroughs in artificial intelligence with the scale of the cloud and our deep expertise in automated reasoning. If you're driven to push the boundaries of what's possible at the intersection of learning and logic, join us and help shape this transformational initiative. The Automated Reasoning checks team is looking for a Senior Applied Scientist with experience in building scalable formal reasoning solutions that delight customers. You will be part of a world-class team building the next generation of tools and services by combining Automated Reasoning, GenAI, and Agentic AI at cloud computing scale. You will apply your knowledge to propose solutions, create software prototypes, and move prototypes into production systems using modern software development tools and methodologies. In addition, you will support and scale your solutions to meet the ever-growing demand of customer use. You will use your strong verbal and written communication skills and own the delivery of high-quality results in a fast-paced environment. Each day, hundreds of thousands of developers make billions of transactions worldwide on AWS. They harness the power of the cloud to enable innovative applications, websites, and businesses. Using automated reasoning technology and mathematical proofs, AWS allows customers to answer questions about security, availability, durability, and functional correctness. We call this provable security, absolute assurance in security of the cloud and in the cloud. See https://aws.amazon.com/security/provable-security/ As a Senior Applied

Embedded Systems Electrical & Computer Engineer Long Beach, MS posted: Posted 15 Days Ago

Specialist Business Analyst – Clinical Computation Platform India - Hyderabad posted: Posted 30+ Days Ago

AI & BI Enablement Bangalore posted: Posted 30+ Days Ago

Sr. Data Scientist – Computational Drug Discovery Canada - Burnaby posted: Posted 23 Days Ago