Strong Compute jobs

Sr. Engineering Program Manager, ML Compute Infrastructure, Apple Services Engineering Cupertino, United States of America Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. The ASE - AI Infrastructure team at Apple is building the next generation of Machine Learning models and we are looking for people like you to come build Apple Intelligence with us! The AI Infrastructure EPM team in the organization is seeking a Senior Engineering Program Manager for its ML Compute Platform. This platform provides services to all internal Apple developers focused on providing efficient and scalable compute and processing for machine learning lifecycle from model experimentation to deployment for the features across the entire Apple consumer ecosystem. We're looking for someone with passion in this space and an experience building large-scale infrastructure for cloud platforms with a strong knowledge of ML workflow. You will partner with the engineering teams and other product/program managers

Senior AI Compute Infrastructure Engineer United Kingdom, London, Canada, Portugal, Spain, Poland, Ireland, Brazil, Romania, Czech Republic, Cyprus, Lithuania, Mexico, Peru, Costa Rica, Latvia, Slovenia, Panama, Estonia, Hungary, Bulgaria, Argentina, South Africa Building the Future of Open Finance Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. Before you apply, we encourage you to explore our culture page to understand what drives us and how we work. The team Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Kraken is building a dedicated AI Compute and Infrastructure team to power the next generation of model training, inference, evaluation, and experimentation across the exchange. This team sits within engineering leadership and owns the infrastructure layer that lets Kraken run AI workloads with control, speed, reliability, and cost discipline. The team is responsible for GPU and accelerator infrastructure, cluster operations, scheduling, model serving, observability, capacity planning, and cost-efficient compute at scale. This is the backbone that allows Kraken to train, serve, evaluate, and iterate on AI systems in-house where it matters for privacy, latency, reliability, cost, or product differentiation. You will join

Engineering Manager - Cloud Compute Software Cupertino, United States of America People at Apple don't just build products - they craft the kind of experience that has revolutionized entire industries. The diverse collection of our people and their ideas inspire innovation in everything we do. Imagine what you could do here! Join Apple, and help us leave the world better than we found it. The Apple Services Engineering(ASE) team builds and provides systems and infrastructure that power Apple's services (such as iCloud, iTunes, Siri, and Maps). We are the foundation on which Apple's software developers build the products that our customers love. Our services have to scale globally, stay highly available, and "just work.” If you love designing, engineering and running systems and infrastructure that will help millions of customers, then this is the place for you! Apple Service Engineering (ASE)'s Compute team is seeking a highly motivated leader with strong technical and communication skills to join us in on our quest to build and enhance massive clusters hosting Virtual Machines, Containers and associated infrastructure that can scale to meet the demands of Apple's Services offerings. You will lead a team of world-class engineers working on core components that build a cloud platform, customize it to help fit Apple's diverse needs. Ultimately, you will be responsible for building the platform that scales to the needs of our end users. In this role you will be responsible for leading engineers who work on developing, debugging and maintaining distributed compute systems for

Risc-V Architect Toronto, Ontario, Canada Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Our Tensix Team is building the future of AI compute with a ground-up architecture centered on scalable RISC-V processors. As we push performance boundaries, we're reimagining the frontend of our RISC-V cores to deliver major gains in programmability, efficiency, and developer experience. This is a rare opportunity to shape the CPU architecture at the heart of our AI platform and lead one of the most strategic technical efforts at Tenstorrent. This role is hybrid, based out of Toronto, ON or Austin, TX. We welcome candidates at various experience levels. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are - An experienced architect with over 10 years in CPU performance modeling and microarchitecture. - Proficient in C++ and Python, with a strong understanding of RISC-V instruction-set. - Well versed in compiler design

Compute Design Engineer, Principal Santa Clara, Santa Clara, Ca, Ca, United States At d-Matrix , we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration. We value humility and believe in direct communication. Our team is inclusive , and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together , we can help shape the endless possibilities of AI. Location: Hybrid, working onsite at our Santa Clara, CA headquarters 3 days per week. The role: Compute Design Engineer, Principal What you will do: As part of this team, you will be responsible for the micro-architecture and design of the AI sub-system modules including SIMD, Hardware Execution Engines. You will also be responsible for definition and implementation of Custom ISA. Work with System Architects to develop efficient C-Kernel utilizing the Custom ISA. You will own design, document, execute and deliver fully verified, high performance, area, and power efficient RTL to achieve the design targets and specifications. You will also design of micro-architecture and RTL, synthesis, logic and timing verification using leading edge CAD tools and semiconductor process technologies. You will design and implement logic functions that enable efficient test and debug and participate in silicon bring-up and validation for blocks owned. RESPONSIBILITIES: -

Computer Vision Software Engineer — Camera Technologies & Systems Cupertino, United States of America iPhone is the most popular camera in the world, with billions of photos captured every year. The seamless integration of software and hardware has led to breakthrough camera features - from the Photonic Engine and Portrait mode to Super-high-resolution photos - delivering magical experiences that surprise and delight our customers. The Camera Technologies & Systems team in the Camera & Photos org delivers amazing quality photos and videos by combining state of the art computer vision, image processing, and machine learning. As an engineer on our team, you will design, develop, and ship the software features that define Apple's camera experience - working side-by-side with the exceptional engineers who made iPhone's camera what it is today. You'll build extraordinary new camera capabilities that span the full universe of Apple devices. Whenever you see a "Shot on iPhone" billboard or press the shutter on your iPhone, you see our work - and it could be your work, too. Design, implement, and optimize real-time and near-real-time Computer Vision and video processing algorithms for Apple silicon. Prototype novel computational photography and computer vision features from concept through production. Collaborate closely with cross-functional partners across software, hardware, silicon, and algorithm teams to co-develop groundbreaking camera technologies. Develop evaluation frameworks, metrics, and analysis tools to measure and continuously improve image and video quality. Minimum Qualifications: Strong proficiency in C/C++ and Objective-C/C++; working knowledge of Python for prototyping and analysis. Experience debugging

Design Verification Engineer Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Key Responsibilities - Work with architects, designers, post-silicon, and software engineers, to ensure a high-quality design that works for silicon. - Develop and implement verification strategies, detailed tests, and coverage plans based on micro-architecture. - Create verification methodologies and reusable environments, including components such as stimulus, checkers, assertions, and coverage. - Implement tests, manage regressions, gather coverage, and debug test failures. - Collaborate with cross-functional teams, including architecture, RTL design, physical design, firmware, and validation. - Analyze and debug complex issues across simulation, emulation, and silicon bring-up

Computational Scientist III South San Francisco, CA, United States The Computational Scientist III is member of the research team and contributes to design, development, maintenance, and validation of molecular assays and analytical pipelines working closely with molecular biologists, lab directors and software engineers. Responsibility Make critical contributions to wide range of products in a cutting-edge clinical genomics laboratory. Use rigorous data science and modern software best practices to create efficient, reliable, and optimized bioinformatics tools. Work closely with molecular biologists, clinical scientists, software engineers, automation engineers, and data scientists. Characterize data resulting from novel molecular assays and guide molecular protocol development from a statistical perspective. Mentor junior scientists and research associates, guiding the overall path and success of key projects. Author posters and publications demonstrating the scientific prowess of our products and algorithms that power the products. Work with legal staff to secure intellectual property rights for inventions pertaining to our products. Communicate results to stakeholders across the organization. Qualifications PhD in Computational Biology, Statistics, Molecular Biology, Genetics, Computer Science, Systems Biology, Biophysics, Physics, or a related discipline. 3+ years of experience developing methods to analyze large, noisy real-world data sets (in the context of molecular biology and/or human genetics, a plus). Experience developing custom analysis methods and algorithms and analysis pipelines. Experience working with CLIA-validated assays and authoring CLIA validation plans, Illumina Next Generation Sequencing (NGS), and other sequencing platforms. Strong computation skills, fluency in Python and a workflow definition language, and knowledge of software engineering best practices. Multiple

Machine Learning/Computer Vision Engineer - Senior Sunnyvale, United States of America The Video Computer Vision organization is working on exciting technologies for future Apple products. Our team delivers computer vision and machine learning algorithms that power many Apple technologies like human understanding and human intelligence algorithms with applications for digital humans, health and AI. In this role, you will work closely with our team of experts in computer graphics, computer vision and machine learning to design and build solutions to previously unsolved challenges for Apple products and bring high impact to millions of users. We are looking for a skilled Machine Learning/Computer Vision Engineer with hands-on experience developing algorithms for human understanding and human intelligence applications. Lead efforts to adapt state-of-the-art algorithms, as well as design and implement new algorithms to solve challenging problems. Drive requirements and validation tests to ship models. Take a practical approach to problem solving and adapt to an evolving environment. Deliver clean, modular, testable algorithm code. Communicate and work effectively with cross-functional partners. The ideal candidate should possess these qualities: 1) Be highly-motivated and take initiative to achieve goals, while delivering on schedule. 2) Has a sense of curiosity and willingness to le Minimum Qualifications: 5+ years of experience working on ML projects for 3D computer vision or graphics applications. Strong software engineering skills and proficiency in Python and PyTorch. Comprehensive understanding of diffusion models, transformers and auto-encoders. Capable of making well-informed and practical decisions in a rapidly evolving environment. BA degree in computer vision,

Research Scientist - Frontier AI/ML & Quantum Algorithms San Francisco | OnSite ABOUT SYGALDRY Sygaldry Technologies is building quantum-accelerated AI servers to exponentially speed up training and inference for AI. By integrating quantum and AI, we're accelerating the path to superintelligence, and addressing the problem of rising compute costs and energy bottlenecks. Sygaldry AI servers combine multiple qubit types within a single, fault-tolerant architecture to deliver the combination of cost, scale, and speed necessary for advanced AI applications. We pioneer new domains in physics, engineering, and AI, tackling the hardest challenges with a grounded, optimistic, and rigorous culture. We're looking for individuals ready to define the intersection of quantum and AI and drive its profound global impact. ABOUT THE ROLE Frontier AI is moving toward scientific reasoning and design: molecules, materials, proteins, weather, climate, dynamical systems, quantum devices, and controlled physical systems. These domains expose deep computational bottlenecks in sampling, probabilistic inference, optimization, simulation, uncertainty quantification, inverse design, planning, and control. Sygaldry is building quantum-accelerated AI systems for this next era. We are looking for a Research Scientist who can help define Quantum AI: not just quantum machine learning, but the broader study of how fault-tolerant quantum computation can transform the primitives of learning, inference, reasoning, prediction, geometry, and control. In this role, you will work at the intersection of frontier AI/ML, quantum algorithms, scientific machine learning, and hardware-software co-design. You will identify where quantum computation can provide genuine structural advantage for AI workloads, develop new theoretical and empirical frameworks,

Specialist Strategy & Sales Operations Lead, Specialist Strategy & Sales Operations Seattle, Washington, USA AWS is seeking a Specialist Strategy & Sales Operations Lead, to drive data-driven decision-making and operational excellence for the AWS Specialist and Partner organization, focused on the Compute and Advanced Computing Domain. As a strategic business partner to Domain leadership, the Sales Operations Lead serves as a trusted advisor who translates complex data into actionable insights, drives operational excellence, and shapes the strategic direction of sales initiatives through deep business acumen and consultative partnership. This role is crucial in leading and scaling mission-critical frameworks, including territories and quota, goal setting, key initiatives, business reviews, forecasting, and data analysis, to inform strategic recommendations in a rapidly growing, complex environment. Serving as a strategy partner to Compute and Advanced Computing leadership, the Sales Operations Lead develops, implements, and manages sales processes, systems, and metrics to help the Compute and Advanced Computing Go-to-Market team and those involved in the sales process to increase revenue growth and customer acquisition. Proactively analyzes sales performance data and customer dynamics to identify growth opportunities and provide forward-looking strategic recommendations to leadership. Partners with stakeholders to achieve day-to-day operational excellence through sales process management, performance analysis, technology support, business reviews, operational planning, and communicating actionable insights, both verbally and in writing, while fostering strong stakeholder relationships. As the AI-powered sales landscape continues to evolve, this role will be instrumental in leveraging the latest artificial intelligence and machine learning technologies to enhance sales processes and

System Software Engineer — GPU & Accelerated Compute Redwood City, CA, Redwood City, California, United States Join Us in Building the Future of Home Robotics At Sunday, we're developing personal robots to reclaim the hours lost to repetitive tasks. We're focused on an ambitious goal to make generalized robots broadly accessible, enabling households to take back quality time. We have spent the last 18 months building a talented team, securing capital, and validating our technology. We are now seeking passionate individuals to join us in the next phase of our growth. If you are ready to apply your skills to the forefront of robotics innovation, we'd love to hear from you. What to Expect The ML & Robotics Infra team builds the foundational systems that every part of our robot perception, ML, controls and behavior runs on, and the developer infrastructure that lets us build, ship, and update that software quickly and safely on every robot in the fleet. As a System Software Engineer on ML & Robotics Infra focused on GPU and accelerated compute, you'll own how every accelerated workload on the robot from model inference, SLAM/perception, and more gets data, gets scheduled and runs efficiently on shared compute. You'll work alongside teammates who own the runtime and our build and delivery infrastructure, and you'll partner cross-functionally with ML, SLAM/Perception, Controls and Hardware teams to ensure the GPU is a first-class, well-utilized resource that meets the latency and throughput requirements of a real-time robotic system operating in the home.

Senior Scientist, Computational Chemistry San Diego HQ, San Diego, California, United States JOB SUMMARY We are seeking a skilled and highly motivated Computational Chemist to join our Computational Sciences group at the Iambic Therapeutics headquarters in San Diego. You will be a key player in the application of advanced ligand and structure-based techniques to drive our drug discovery efforts. You will play an active role in the research teams pursuing important therapeutics across multiple indications. You will work in a cross-functional team, collaborating closely with machine learning scientists, medicinal chemists and biologists to apply cutting edge SBDD methods across hit identification, lead optimization, and candidate selection phases. This is a hands-on role, requiring technical expertise in computational chemistry, a strong interest in the application of co-folding, familiarity with the drug discovery process and a proactive drug-hunter mindset. This role is based in our San Diego Headquarters. KEY RESPONSIBILITIES - Apply a range of ligand and structure-based approaches across hit identification, hit to lead and lead optimization phases (e.g. cheminformatics, pharmacophore modeling, docking and shape-based based virtual screening, de novo molecular design, MD simulation) - Guide design cycles through the identification of structure-activity relationships and the integration of computational predictions with bioactivity data - Partner with medicinal chemists to design, evaluate and prioritize virtual libraries, and propose actionable molecular designs - Partner with ML scientists to integrate SBDD methods with our proprietary transformer-based property prediction technology (Enchant) - Leverage and evolve our proprietary protein-ligand co-folding technology (NeuralPLexer) to yield novel and

AI Systems, Training Palo Alto, CA I US Remote About Unconventional Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role You will be a key contributor to our training ecosystem. Your goal is to build the next-generation ML model training platform tailored for a world where compute is no longer constrained by the digital abstraction. You will co-design and implement training systems alongside novel AI models and hardware platforms that push the boundaries of physics-based compute. What You'll Do - The Model Architectures: Build and maintain highly optimized, model-specific training stacks specifically tuned for state-of-the-art generative vision, language, and world models. - The Training Infrastructure: Design and scale multi-node distributed training systems, implementing elastic sharding and robust data streaming pipelines for fast, large-scale iteration. Implement and robust model checkpointing and recovery mechanisms. - Optimization & Benchmarking: Develop and optimize kernels using low-level programming models like CUDA andTriton. Design rigorous benchmarking suites to track Model Flops

Member of Technical Staff, Training Infra Engineer Paris | Remote | London | Toronto | New York | Montreal | San Francisco Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what's best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Why this role? Contribute in and provide strong support for model training pipelines, ship state of the art models to production, and bridge the gap between research and production. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and supporting our research effort depending on individual interest and organizational needs. We have all the compute, data, and

Head of Data Center Rack and Cluster San Francisco, California, United States About the Team The Industrial Compute team at OpenAI is responsible for all things compute capacity, from our partnership deals (i.e. stargate) through the delivery and operations of this capacity. The team is a fast-paced, dynamic team working on the cutting edge of capacity at scale, speed, quality, and cost, while enabling the best AI Frontier models and beyond. About the Role This role is responsible for leading the engineering team that defines the rack and system architectures underpinning the compute infrastructure enabling OpenAI's frontier AI models. The role will oversee the early phases of compute definition from architectural definition through delivery of production-ready racks. We are looking for an experienced engineering leader who understands how to navigate the technical and business tradeoffs required to build the world's premiere AI infrastructure. Qualified candidates will have extensive hands-on experience in system bring up and a proven ability to bring platforms to a stable state ready for production use through lab and early test and deployment environments. In this role, you will: - Own the reference rack, cluster, and system architecture standards for new OpenAI compute platforms. - Define readiness and acceptance criteria for production-bound systems. - Stay engaged through validation until configurations are proven repeatable and ready for handoff. - Manage relationships with accelerator and equipment vendors to define an overall roadmap - Partner across the industrial compute and partner teams to bring clarity to requirements and ensure smooth

DC Materials Handler - Returns Phoenix, Arizona, United States of America Embrace the role of a DC Materials Handler and play a key role in warehouse operations, inventory management, and returns processing. If you have strong attention to detail, basic computer skills, and a passion for logistics, this is your opportunity to grow with a stable, industry-leading company. Apply today and start your rewarding career!

Head of Performance Visibility San Jose, CA, United States About Etched Etched is building the world's first AI inference system purpose-built for transformers - delivering over 10x higher performance and dramatically lower cost and latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary We are hiring a Head of Performance Visibility to define how performance is understood across next-generation AI accelerator systems. Our ML accelerator platform spans custom silicon, supercomputing software, compiler stacks, runtime libraries, and distributed inference environments. Performance at this scale is no longer a device-level question - it is a high-performance distributed system problem. You will define the performance metrics that connect raw hardware signals to distributed workload context, ML cluster dynamics, pod communication patterns, and emergent bottlenecks. This role requires more than telemetry. You will establish new abstractions, structured counter ontologies, cross-layer event correlation frameworks, distributed time-alignment strategies, and scalable reasoning systems operating across nodes, racks, and clusters. Working at the intersection of hardware design, driver architecture, runtime systems, and ML infrastructure, you will shape how these layers expose and consume performance intelligence. This is a foundational role defining not just tooling, but how our platform reasons about efficiency, scalability, and system behavior for years to come.

Senior Cost Accounting Manager Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role The Senior Cost Accounting Manager will thrive in a fast-paced, dynamic environment supporting both Finance and Operations. This role requires excellent communication skills, strong computational and analytical ability, and the capacity to quickly derive insights from high volume manufacturing and inventory-related transactions. The ideal candidate is proactive, detail-oriented, and comfortable owning end-to-end cost accounting processes. This is a high visibility role working closely with leaders in Supply Chain, Procurement and Finance. Responsibilities Cost Capitalization & Allocations - Assess, capitalize, and allocate inventory rebates.

Network Modeling and Simulation Researcher (Security Clearance Required) Aberdeen, Maryland, United States of America Join our team as a Network Modeling and Simulation Researcher specializing in High Performance Computing. Leverage your expertise in EMANE and Kubernetes to drive innovative solutions in tactical network modeling. If you have a passion for research and a strong technical background, we want to hear from you!

Founding GPU Compiler Engineer San Francisco | OnSite ABOUT SF TENSOR At The San Francisco Tensor Company, we believe the future of AI and high-performance computing depends on rethinking the entire software and infrastructure stack. Today's developers face bottlenecks across hardware, cloud, and code optimization that slow progress before ideas can reach their full potential. Our mission is to remove those barriers and make compute faster, cheaper, and universally portable. We are building a Kernel Optimizer that automatically transforms code into its most efficient form, combined with Tensor Cloud for adaptive, cross-cloud compute and Emma Lang, a new programming language for high-performance, hardware-aware computation. Together, these technologies reinvent the foundations of AI and HPC. SF Tensor is proudly backed by Susa Ventures and Y Combinator, as well as a group of angels including Max Mullen and Paul Graham as well as founders and executives of NeuraLink, Notion and AMD. We are partnering with researchers, engineers, and organizations who share our belief that the next breakthroughs in AI require breakthroughs in compute. ABOUT THE ROLE We're hiring a Founding GPU Compiler Engineer to build the core compilation infrastructure for our AI compiler. That means taking models from PyTorch, JAX, and TensorFlow and turning them into highly optimized binaries for large-scale AI pre-training. You'll own the entire compiler stack, from ingesting StableHLO all the way to backend code generation, and you'll work across targets like NVIDIA, AMD, Trainium, and TPU. You'll help shape our architecture, tooling, and overall engineering culture from the

Fleet Video Reviewer Springfield, Missouri, United States of America Join our team as a Fleet Video Reviewer and play a key role in ensuring fleet safety by reviewing and categorizing in-cab video events. If you have strong attention to detail, computer literacy, and a commitment to safety, this entry-level opportunity offers career growth and a supportive environment. Start your journey with us today!

Associate Account Executive Melville, New York, United States of America Embrace the opportunity to become an Associate Account Executive in Risk Management at HUB International. Leverage your insurance expertise, strong computer skills, and P&C License to support account operations, policy review, and client service. Grow your career in a collaborative, innovative environment with opportunities for professional development and impact.

Full-Stack Developer, Connected Data Montréal, Toronto MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100 , the definitive ranking of the top 100 private cloud companies in the world. We're growing fast and hiring the engineering talent to match. We are looking for Full-Stack Developers to join our Connected Data team in the Engineering Organization. This role has openings at Senior+ level positions. The Connected Data team's mission is to connect our customers' siloed operational data to MaintainX - through integrations, sensor management, and the APIs that make it all possible. We own the systems that ingest, normalize, and surface the data that powers MaintainX's automations and asset intelligence, including our Connectors (Ignition, Kepware, MQTT/Sparkplug B), our On-Premise Agent , and the Automation and Alerting engine. The team operates as multiple squads and works closely with our largest enterprise customers to bring their equipment data online. What You'll Do: - Build and evolve our integrations platform - Design, develop, and maintain the connectors and data pipelines that bring customer data into MaintainX from industrial systems (Ignition, Kepware, MQTT brokers, OPC UA servers, SCADA, historians). - Ship IoT and sensor experiences end-to-end - Implement backend ingestion, transformation, and storage for high-volume sensor telemetry, and the frontend surfaces customers rely