Strong Compute jobs

Sr. Database Engineer San Diego, CA posted: Posted Yesterday

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

Senior/Lead SoC Emulation Engineer Noida posted: Posted 29 Days Ago

Principal/Sr. Principal Computer Systems Hardware Engineer United States-Colorado-Colorado Springs RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 25% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Space Systems is seeking a Principal OR Sr. Principal Computer Systems Hardware Engineer to join the Compute Integrated Product Team (IPT) of the Deep Space Advanced Radar Capability (DARC) Site 2 program (DS2). As a Computer Systems Hardware Engineer you will be a key member of the team responsible for designing and standing up of several high-performance computer environments required for DS2. This role will be reporting to the DS2 Compute IPT lead and work collaboratively with other functional disciplines to design, document and implement a

Machine Learning Engineer, Firefly Services 2 Locations posted: Posted 30+ Days Ago

Senior Data Cloud Blackbelt Manager, Data and AI Sunnyvale, CA, USA We are a specialized product incubation engine dedicated to accelerating product market fit for our unified data cloud and AI capabilities. Tasked with bridging the gap between our powerful platform primitives and the cohesive, high value solutions enterprises demand, this group operates as a customer zero laboratory. In this role, you will lead our new team at the forefront of using Google's generative AI to solve real world issues for our most customers. You will act as a partner with key accounts, working to build, deploy, and optimize sophisticated AI agents on our data cloud services. You will bridge the gap between our core product engineering teams and complex customer needs. You will accelerate product innovation, customer success, disrupt the traditional Software Development Life Cycle (SDLC), and shape the future of our data and AI products.Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $233000 - $325000 (USD) + 25% bonus target + bonus + equity + benefits Learn more about benefits at Google . Serve as the principal architect for the team's portfolio. Set the engineering standards,

Materials Engineer, Quantum AI Santa Barbara, CA, USA In this role, you will accelerate our investigations into new materials, associated fabrication processes, and testing procedures. You will be responsible for developing and troubleshooting new and existing processes for the fabrication of wiring, interconnects, and packaging components that are critical for building our next generation of quantum computers. You will collaborate with other researchers and engineers on the Quantum Artificial Intelligence team to develop new materials, use and expand our current capabilities, and identify processes and equipment to take us in new directions of higher performance materials for more densely-integrated superconducting quantum computing systems. You will work directly with research scientists and other hardware engineers to develop materials to enhance our superconducting hardware stack including packaging, input/output, and associated filtering. You will drive hardware implementation and testing efforts to validate these materials in the lab by building and analyzing materials using performance focused experiments.The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $159000 - $231000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Research and develop new materials for use in wiring, interconnects and packaging

SDE II - Fabrication Manufacturing Execution System, Center for Quantum Computing Pasadena, California, USA The AWS Center for Quantum Computing (CQC) is hiring a Software Development Engineer to develop our data applications and infrastructure with a focus on supporting our fabrication team. You will work closely with other Software Development Engineers, Research Scientists, and a Technical Program Manager. AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. *Why AWS* Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. *Diverse Experiences* Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. *Work/Life Balance* We value work-life harmony. Achieving success at

Senior Research Scientist, Machine Learning US, MA, Wilmington posted: Posted 30+ Days Ago

Senior Software Engineer - AI/ML, AWS Neuron Inference Seattle, Washington, USA AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators. This role is for a senior software engineer in the Machine Learning Inference Applications team. This role is responsible for development and performance optimization of core building blocks of LLM Inference - Attention, MLP, Quantization, Speculative Decoding, Mixture of Experts, etc. The team works side by side with chip architects, compiler engineers and runtime engineers to deliver performance and accuracy on Neuron devices across a range of models. Key job responsibilities Responsibilities of this role include adapting latest research in LLM optimization to Neuron chips to extract best performance from both open source as well as internally developed models. Working across teams and organizations is key. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Basic Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - 5+ years of programming using a

DevSecOps Lead Computer SW Dev Engr IV 2 Locations posted: Posted 30+ Days Ago

Principal Machine Learning (Senior/ Expert)/ Development (Senior/ Expert) (f/m/d) Region Europe | Country Germany | Internal Posting Location Walldorf We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you'll do We are seeking a highly skilled and driven Principal Machine Learning Engineer (f/m/d) to design and deliver intelligent, distributed systems that power large-scale AI and large language model (LLM) capabilities. In this role, you will shape cutting-edge infrastructure, mentor world-class engineers, and bring bold ideas from concept to production-driving meaningful impact across SAP's global ecosystem. As a key member of our fast-moving team, you will have the unique opportunity to define and execute the vision for AI and LLM-based systems at scale. We are looking for someone with exceptional programming expertise, deep distributed systems knowledge, and the curiosity and grit to tackle complex, ambiguous challenges. You will work across a diverse technology stack, collaborate closely with engineers and product leaders, and help set the technical direction for AI initiatives. Key Responsibilities: · Architect, design, and implement

Edge Compute Architect for Optical Systems US, MA, Boston posted: Posted 29 Days Ago

Software Development Engineer - AI/ML, Amazon Neuron, Multimodal Inference Seattle, Washington, USA The Annapurna Labs team at Amazonbuilds 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 AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection

Computing Architect (Manhattan Warehouse M.S.) USA - Hialeah, FL posted: Posted 3 Days Ago

Senior / Lead Software Engineer - Database/Distributed Storage Engineering California - San Francisco; Washington - Seattle *IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTURE FORCE FOR OPPORTUNITIES * Our Salesforce Database (SDB) team provides a highly available database for Salesforce applications. Within the large SDB team, we provide a highly durable and available distributed storage for public clouds. We are defining the next generation of trusted enterprise computing in the cloud. We're a fast-paced, metrics driven team. We're highly collaborative and work across all areas of our technology stack. We live and breathe transactional systems, distributed systems and enterprise reliability, availability and scale. The team is seeking a highly qualified and energetic Senior/Lead Software Engineer who will be responsible for working on development scalable, resilient and fault tolerant transactional and distributed systems. The Senior/Lead Software Engineer will be responsible both for design and hands-on implementation. The software engineer role at Salesforce encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality. Equally important is advanced prompt engineering - the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready. Job Responsibilities: Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code. Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows,

Principal Systems Engineer- Computing Solutions (Onsite) 2 Locations posted: Posted 9 Days Ago

Software, Electrical, Industrial or Computer Engineering AI Internship Eindhoven posted: Posted 6 Days Ago

Embedded Software and System Integration Lead, Cloud TPU Bengaluru, Karnataka, India In this role, you'll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. Build, manage and lead the team responsible for firmware and infrastructure development to enable bring-up and validation of the AI/ML SoC designs. Lead and enable the team to develop embedded firmware, bare

Principal Embedded Crypto Software Developer (m/f/d) 4 Locations posted: Posted Yesterday

Senior Systems Engineer - Computing Solutions (Onsite) 2 Locations posted: Posted 9 Days Ago

Lead Software Engineer, Infrastructure Quality, Robotics, DeepMind Mountain View, CA, USA We believe there are many problems in the world in which robotics could play a significant role in making it easier, faster and safer for people to get things done. We're looking for roboticists, designers, hardware and software engineers to help us explore these possibilities, develop breakthrough technologies, and build new products that could help millions of people. This is a dedicated Software Quality and Engineering Productivity leadership role. In this role, you will be an expert whose primary passion and career focus is building, owning, and scaling the quality of software releases and AI model validation on standard and custom hardware. You will play a major role in influencing the velocity at which our team solves Artificial General Intelligence (AGI) in the physical world. As our software and hardware infrastructure grows to support the increasing scale of robotics research, we need to continuously build and upscale our testing, reliability, validation, release strategy, and overall engineering productivity and velocity. Robotics infrastructure is uniquely difficult. You will be solving for non-deterministic hardware wear-and-tear, complex large-scale model deployment, fast inference, and the massive data requirements of AGI. You will be experienced with software quality and release strategy on custom or experimental hardware. Your work will directly determine how many iterations our engineers and scientists can run per day, week, and year, while holding a high quality bar. Artificial intelligence will be one of humanity's most transformative inventions. At DeepMind, we are

Sentinel Staff Computer Systems Analyst - 18901 United States-Utah-Roy

Principal Engineer - AI/ML - Computer Vision Bengaluru, India posted: Posted 30+ Days Ago