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Job Details: Job Description: We are seeking a Senior Middleware Development Engineer to join our communication runtimes team to develop and contribute software features and optimizations to multiple communication libraries such as Intel SHMEM (Shared Memory Access), Intel MPI (Message Passing Interface), MPICH (Message Passing Interface Chameleon) and Intel oneCCL (Collective Communications Library). In this role, you will have an opportunity to build expertise with the latest Intel GPUs and CPUs used in the data center, work directly with scientists and engineers working on the Aurora supercomputer at the Argonne National Labs, and make meaningful contributions that improve scientific computing and machine learning. You will need to understand multiple levels of the communications stack, be self-driven, have high motivation to learn and want to use your outstanding analytical skills to make an impact and must have excellent communication skills. Your roles and responsibilities will include but not limited to: Design, develop, and maintain features and optimizations for Intel SHMEM, Intel MPI, MPICH, and oneCCL libraries Collaborate with cross-functional teams to define software requirements and specifications Optimize software to meet performance requirements, ensuring low latency, high bandwidth and high reliability Qualifications: Minimum qualifications listed below would be obtained through a combination of industry relevant job experience, internship experience and / or schoolwork/classes/research. The preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Minimum Qualifications: Master’s d

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We are building the next generation of memory design by embedding AI into how circuits are designed, validated, and brought to silicon. We work at the intersection of design, CAD, and data, and we focus on solutions that scale across teams and technology nodes. If you want your work to directly impact silicon outcomes, this team delivers! This role is critical to transforming memory design workflows using AI and automation. You will partner closely with design, layout, CAD, and product teams to reduce manual effort, improve quality, and accelerate time-to-tapeout across memory products. Responsibilities Develop automation solutions for layout generation, floor planning, AMS, and PDN. Create scalable CAD methodologies improving design quality and productivity. Build software frameworks integrating EDA tools and design workflows. Automate analysis, debugging, optimization, and design-space exploration processes. Collaborate with engineering teams to deploy advanced design solutions. Apply AI and analytics to accelerate design convergence and closure. Minimum Qualifications Bachelor's degree in Electrical Engineering, Computer Science, or related field. Five years experience in CAD, layout, AMS, PDN, or EDA. Strong programming skills in Python, Tcl, C++, or similar languages. Experience developing production-quality automation tools and CA

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role HP IQ's AI Machine Learning (AML) team is building the foundational platform powering a new generation of agentic devices. This platform orchestrates the complete lifecycle of AI models: from creation and fine-tuning through optimized inference and intelligent orchestration. The team works to make complex AI capabilities run efficiently on-device, enabling locally-deployed agentic experiences that reduce token costs and improve privacy. In this internship role, you will contribute to one or more core pillars of the AML platform: model inference optimization, orchestration and agent workflows, or model creation and fine-tuning. You will partner closely with experienced engineers to ship features that directly impact HP's next-generation devices and gain visibility into how each component of an end-to-end AI system integrates and scales. What You Might Do Work on model hosting and inference optimization, learning how to profile, benchmark, and accelerate model execution on resource-constrained devices; experiment with quantization, distillation, or other optimization techniques to reduc

eClinical Solutions helps life sciences organizations around the world accelerate clinical development initiatives with expert data services and the elluminate Clinical Data Cloud – the foundation of digital trials. Together, the elluminate platform and digital data services give clients self-service access to all their data from one centralized location plus advanced analytics that help them make smarter, faster business decisions. OVERVIEW The Clinical Data Manager (CDM) is an independent role responsible for supporting the study team and developing comprehensive study documentation, designing database specifications, and overseeing validation, maintenance/data cleaning, and closeout activities for clinical trial databases. The CDM is recognized as the platform expert, leveraging cutting-edge tools and technologies to provide continuous data insights and ensure the timely delivery of high-quality results for Sponsors. The CDM has a strong foundation in clinical data management, combined with the agility to adapt as processes evolve towards the integration of clinical data science. KEY TASKS & RESPONSIBILITIES Define project specifications for Data Management services, including Protocol Conversion, Database Build, CRF Design and Data Review and Data Reconciliation tools Understand external data collection, its integration into the clinical trial, and the management and reconciliation processes required to ensure its accuracy and relevance Execute data cleaning strategies to accelerate the time to achieve subject data cleanliness and ensure high-quality, timely deliverables Perform holistic data review and trending analysis via reporting and elluminate® analytics to proactively identify issue, risks and develop mitigation strategies Utilize artificial intelligence (AI) and machine learning (ML) for anomaly and outlier detection to enhance the efficiency and quality of trial data Monitor and interpret key performance indicators (KPIs), metrics, dash

Salary Range: PLN 350,700 - 474,400 PLN Subject to alignment to the responsibilities and duties of the role About the job Help Graphcore’s Frameworks engineers in Gdańsk build the tools that make our hardware easier to use. Reporting to the Director of Frameworks, you will lead engineers contributing to our PyTorch and Triton teams. You will support their development, clarify priorities and keep feedback flowing across locations. This role blends people leadership with real technical ownership. You will contribute to PyTorch, Triton or related Frameworks work through design, implementation, review, debugging, testing or performance analysis. You will help engineers deliver high-quality work while staying fully connected to their teams. It is a rare chance to shape both software outcomes and engineering culture at a growing site. The team and culture Frameworks makes Graphcore hardware work seamlessly with the tools machine learning engineers and researchers use. The team builds PyTorch support, an out-of-tree Triton backend, framework integrations, runtime components, kernels, tests, performance tooling and user documentation. Work happens across locations, so clear writing, shared context and constructive challenge matter. You will help Gdańsk engineers stay close to technical leaders, team priorities and the decisions shaping delivery. People are trusted to take responsibility, speak up and move with purpose. The team values learning, maintainability, performance, ease of use and thoughtful collaboration with open-source communities. What we’re looking for Experience managing and developing software engineers, including coaching, feedback, performance management and career development Strong software engineering capability, with professional experience in C++ and Python Clear written and verbal communication in English and Polish, especially when explaining complex technical context Ability to build alignment across teams, locations and disciplines P

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location Singapore, Fab10 Department Fab10 High-Volume Manufacturing Photo Process and Equipment Engineering Project Title Automation of Non-Zero-Offset Control for High-Volume Manufacturing Photo Processes Project Description Non-Zero-Offset is a key photo-process control parameter used in overlay-performance management and yield protection. The current workflow includes data preparation, Non-Zero-Offset generation, engineering review, validation, and post-implementation monitoring. As the number of process vintages increases, a scalable analytical approach is needed to improve workflow consistency and efficiency. The intern will undertake a structured project to develop and evaluate an automated, data-driven Non-Zero-Offset framework using Python, statistical analysis, machine learning, and visualization. The project will provide practical exposure to photo-process engineering, inline metrology, data modeling, workflow automation, and AI-Enabled engineering analysis. Objective of the Project Develop an understanding of the end-to-end Non-Zero-Offset workflow, including wafer selection, inline recipe criteria, metrology requirements, generation logic, and validation.

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Physical Verification Engineer, you will be a key technical contributor within the Heterogeneous Integration Group (HIG), responsible for defining, executing, and driving sign-off quality physical verification flows for next‑generation HBM logic die and memory‑centric SoCs. You will work across physical design, design rule development, EDA tool teams, foundry interfaces, and product engineering teams to deliver industry‑leading, tape-out-ready silicon under aggressive schedule, quality, and reliability constraints. This role combines full-chip physical verification ownership — including DRC, LVS, ERC, and DFM — with deep collaboration across implementation and silicon bring‑up, ensuring design integrity from layout through first silicon. Responsibilities will include, but are not limited to: Implement physical verification sign‑off for full‑chip and hierarchical designs, including Design Rule Check (DRC), Layout Versus Schematic (LVS), Electrical Rule Check (ERC), Physical Electrical Rule Check (PERC), antenna checking, and Design for Manufacturability (DFM). Implement and

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. You will focus on a short list of strategic accounts within our Enterprise Technology business. For each one you will co-own the account plan with the account executive, build executive technical champions, and drive a multi-quarter adoption roadmap. You will have breadth and depth, reproducing customer environments and problems, building working solutions with them, and develop deep relationships with our engineering and product teams, all in service of each account's strategic roadmap Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoptio

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Team The Devices Platform team's mandate is to lay the foundation of Nuro's onboard software for our sensor and compute platform, including device drivers, inter-device protocols and pipelines, and device runtime APIs. Sensors and compute hardware are the eyes, ears, and brains of our self-driving robots. We are creating the hardware-agnostic platform to be used by the perception and autonomy SW stack, and to realize the full potential of our sensor and compute HW in reliability, quality, and performance. The projects we work on are high impact and high visibility within Nuro. This team is also responsible for working with internal stakeholders and external suppliers to define, evaluate, integrate the next generation HW platform for Nuro's products and to build the necessary tooling to assist continuous testing and validation. About the Work Design and develop sensor and compute systems for robotics Architect and/or deploy Nuro senso

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Team The Devices Platform team's mandate is to lay the foundation of Nuro's onboard software for our sensor and compute platform, including device drivers, inter-device protocols and pipelines, and device runtime APIs. Sensors and compute hardware are the eyes, ears, and brains of our self-driving robots. We are creating the hardware-agnostic platform to be used by the perception and autonomy SW stack, and to realize the full potential of our sensor and compute HW in reliability, quality, and performance. The projects we work on are high impact and high visibility within Nuro. This team is also responsible for working with internal stakeholders and external suppliers to define, evaluate, integrate the next generation HW platform for Nuro's products and to build the necessary tooling to assist continuous testing and validation. About the Work Design and develop sensor and compute systems for robotics Architect and/or deploy Nuro senso

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Role Snorkel AI is hiring a Forward Deployed Engineer focused on Computer Use Agents to partner with leading AI labs and enterprises on their most critical agentic-AI initiatives. In this role, you will lead the technical execution of complex customer engagements involving agents that operate computers, browsers, and software environments to complete realistic, multi-step tasks. You will translate ambiguous product and model challenges into robust task environments, datasets, evaluators, and delivery plans that improve agent reliability and downstream performance. You will work across the full delivery lifecycle—from technical discovery and solution design through implementation, evaluation, and production delivery. You will also identify patterns across engagements and turn successful approaches into reusable capabilities, technical standards, and product improvements. Main Responsibilities Computer Use Agents, Data, and Evaluation Design and build task environments, datasets, and evaluation workflows for computer-using agents operating across browsers, desktop applications, terminals, and other software interfaces Translate customer goals, agent failure modes, and real-world workflows into representative, multi-step tasks with clear success criteria Develop data-generation, validation, and quality-assurance pipelines for multimodal and agentic training and evaluation data Build automated evaluators, checks, and measurement frameworks to asse

Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere. The Team Our immune cell reprogramming team integrates foundational research on immunology and disease biology with AI-modeling to develop engineered cells that harness our own immune system to detect and treat early signs of age-related diseases, like cancer, Alzheimer’s, and Parkinson’s. These technologies will enable precise, context-dependent therapeutic responses only when and where it is needed. You can learn more about our work here . Our work brings together three powerhouse universities - Columbia University, The Rockefeller University, and Yale University - into a single collaborative technology and discovery engine. Our Vision Pursue large scientific challenges that cannot be pursued in conventional environments Enable individual investigators to pursue their riskiest and most innovative ideas Facilitate research by scientists and clinicians at our home institutions and beyond We are a team of passionate individuals powered by technology, guided by scientific research, and driven by collaboration, working toward a mission to cure or prevent all disease. The Opportunity Biohub NY is seeking an accomplished computational biologist experienced in machine learning and transcriptomic data analyses to join our interdisciplinary team. Within the Biohub NY “Immune Cell Re-Programming” group, this role requires experience in research settings, a background in biology, and a proven ability to design, evaluate, and publish innovative computational methodologies that leverage machine learnin

Perplexity is looking for experienced Generalist Software Engineers to join our Perplexity and Comet application teams. Our team is reshaping knowledge work through our high-impact desktop and Comet apps. The ideal candidate should have strong programming skills and multiple years of experience shipping high-quality, production software. Our stack spans several different skillsets, including Rust, Kotlin, Swift, Typescript, Chromium and Perplexity’s core AI stack. We have found that our strongest engineers are capable of working across multiple codebases and ramping up quickly, and we expect the same high bar for candidates. Responsibilities Work closely with product teams to implement novel mobile experiences. Work closely with design teams to design fast and intuitive UI. Utilize Perplexity Computer and other Agentic coding tools to accelerate development. Collaborate with data science and machine learning teams to instrument, analyze, and improve the end-to-end experience. Work with infrastructure and QA teams on deployment processes, including testing, release, and monitoring. Requirements 4+ years industry experience Experience in shipping high-quality native applications Architecture experience in writing code understandable by both agents and humans Deep understanding of app performance Ability to own projects and surfaces, and to push them forward proactively

About the job Build the framework support that helps AI developers unlock Graphcore hardware. You will help Graphcore accelerators work seamlessly with state-of-the-art ML frameworks, including Triton and PyTorch. Reporting to a Team Lead in Frameworks, you will design, implement, optimise and support critical software. Your work will shape how researchers and engineers use Graphcore hardware for demanding machine learning workloads. You will improve performance, quality and usability across a complex software stack. You will join our Triton team, delivering new features, reviewing code, writing technical documentation and working with upstream communities. You will also help coordinate open-ended technical work across teams. This role offers deep technical ownership and visible impact as the ML software landscape evolves. You will keep learning and may contribute across other framework teams. The team and culture The Frameworks team connects Graphcore hardware with the tools ML engineers and researchers rely on. We work across PyTorch, Triton, JAX and TensorFlow, focusing on usability and performance. Work happens through agile practices, close technical discussion and clear ownership. Engineers are trusted to speak up, solve hard problems and move work forward with pace. Decisions are shaped by evidence, code quality and business outcomes. You will work across Graphcore and with open-source communities to deliver software developers can trust. What we’re looking for · Strong software engineering skills, with the judgement to manage quality, complexity and technical debt. · Experience developing in Python and C++. · Experience in compiler development. · Ability to manage complex technical tasks with cross-team dependencies. · Clear communication skills, with a proactive approach to collaboration and technical leadership. · Interest in AI, ML frameworks, performance optimisation or computationally intensive engineering. Benefits · Flexible working: Balance your work

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI team member at Anthropic, you will be a pre-sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide tech