Strong Compute jobs

LLM Inference Performance & Evals Engineer Toronto, Ontario, Canada 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 Join the inference model team dedicated to bring up the state-of-the-art models, numerically validating and accelerating new model ideas on wafer-scale hardware. You will prototype architectural tweaks, build performance-eval pipelines, and turn hard numbers into changes that land in production. Key Responsibilities - Prototype and benchmark cutting-edge ideas: new attentions, MoE, speculative decoding, and many more innovations as they emerge. - Develop agent-driven automation that designs experiments, schedules runs, triages regressions, and drafts pull-requests. - Work closely with compiler, runtime,

Senior Runtime Engineer Sunnyvale CA or Toronto Canada 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 We are building the next generation of large-scale AI systems that power training and inference workloads at unprecedented scale and efficiency. You will design and develop high-performance distributed software that orchestrates massive compute and data pipelines across heterogeneous clusters. Your work will push the limits of concurrency, throughput, and scalability-enabling efficient execution of models at massive scale. This role sits at the intersection of systems engineering and machine learning performance, demanding both architectural depth and low-level implementation skills. You will help

Computer System Validation Internship Singapore, Central Singapore, Singapore We are looking for a Computer System Validation Intern to join our team at Roche. This role involves supporting validation activities for ITOT products, collaborating with cross-functional teams, and adhering to quality standards in a dynamic environment. If you are self-driven and possess strong communication skills, we want to hear from you!

Internship - Research & Development Boston, MA, USA Summary The individual in this internship role will contribute to the advancement of neutral-atom based quantum computing technologies. You will be involved in the design, implementation, and characterization of neutral-atom quantum computing systems, and collaborate closely with a multidisciplinary team of physicists, engineers, and computer scientists to push the boundaries of quantum computing using neutral-atom platforms. Responsibilities - Assist in the design and build state-of-the-art neutral atom quantum computers as directed by your mentor(s). - Collaborate with engineering teams to verify and validate modules and subsystems for neutral atom quantum computers. - Investigate sources of noise and decoherence and contribute to proposed mitigation strategies. - Assist in experimental setups related to neutral atom quantum computing, which may include working with optical components, lasers, and atom trapping systems. - Analyze experimental data using the Python scientific stack to provide insights and feedback for continuous improvement in our quantum computing applications. Qualifications - Pursuing a degree in physics, computer science, mathematics, or a related field. - Strong physics background and experience in optics. - Programming skills in Python, including the Python scientific stack (PyTorch, NumPy, SciPy, Pandas) are plus but not required. - Excellent problem-solving and analytical skills. - Strong communication and teamwork skills. On-site internship. There is no relocation offered for this role. QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do

Member of Technical Staff, Research San Francisco | Hybrid | Remote ABOUT ABUNDANT AI models rely on two fundamental ingredients: compute and data. Abundant is building the NVIDIA of training data. NVIDIA, the leader in compute, has a peak market cap of $5T and generated $130B in revenue last year as the need for scaling compute has exploded. We believe the need to scale data is just beginning, as we move beyond SFT and human supervision to RL and Learning from Experience. Our founding team consists of former founders, ML engineers, roboticists and data leads from Waymo, Google, Mercor and AWS. Our team has previously worked with DeepMind to deploy deep learning models at 1B user scale, trained SOTA models for self-driving at Waymo, and scaled data pipelines of tens of thousands of human annotators at YouTube. Our pioneering work in human computation, synthetic data, simulation and RL give us the advantage in delivering results to our customers. Why now? Training data is more important and more scarce than ever before. Scaling laws dictate that linear improvement in model performance demands an exponential increase in training data. But there is only one World Wide Web and most of it has already been trained on. The next advances will require major advances in simulation, synthetic data and learning from experience. What happens if we succeed? Abundant will be the core enabler for not only AGI, but ASI and physical intelligence. Most of the challenges in model algorithms and compute are already

Staff Inference ML Runtime Engineer Sunnyvale CA or Toronto Canada 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 Inference ML Engineering team at Cerebras Systems is dedicated to enabling our fast generative inference solution through simple APIs powered by a distributed runtime that runs on large clusters of our own hardware. Our mission is to empower enterprises, developers, and researchers to unlock the full potential of our platform, leveraging its performance, scalability, and flexibility. The team works closely with cross-functional groups, including compiler developers, cluster orchestrators, ML scientists, cloud architects, and product teams, to deliver high-impact

Computer Vision Software Engineer, Camera & Photos Cupertino, United States of America iPhone is the most popular camera in the world, with billions of photos taken every year. The seamless integration of software and hardware has led to camera features like the Photonic Engine, Portrait mode, and Super-high-resolution photos, which deliver 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'll develop and extend those software features, working side-by-side with the exceptional engineers who made iPhone's camera what it is today, and build new extraordinary camera capabilities spanning the universe of Apple devices. Whenever you see a “Shot on iPhone” billboard, you see our work; it could be your work, too! Prototype and develop algorithms for new and improved camera features Work cross-functionally with our partners to ensure best in-class performance Develop methods to analyze and improve results Implement and assess algorithm implementation Minimum Qualifications: Strong background in computational photography. Knowledge and experience using Computer Vision to solve real-world problems. Experience with camera pipeline. Excellent coding skills in C or C++. Strong verbal and written communication skills. MS/PhD in Computer Vision, Machine Learning, Computer Science, Electrical Engineering Preferred Qualifications: Familiarity with multiple-camera systems and 3D geometry. Experience with Machine Learning

Business Operations Lead, Datacenters 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 This is a high-leverage business operations role embedded in the Datacenter organization. You will partner directly with 5-10 senior leaders to build the operating system that keeps the organization aligned, decision-ready, and executing at speed. The job sits at the intersection of planning, operating cadence, communications, and execution. You will turn complex, fast-moving work into clear priorities, durable mechanisms, and actionable insight. This is not a staff role from the sidelines-you will be in the middle of the work, helping leaders drive performance,

Security SWE Sunnyvale CA or Toronto Canada 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 As a frontend engineer on our AI cloud, you will work on our customer-facing inference, training, and admin consoles and API experiences. In this role, you will be responsible for designing and building responsive, user-friendly frontend interfaces that provide an optimal experience for our developers, handling high traffic and throughput efficiently. Your familiarity with the latest web development frameworks and best practices, coupled with a keen eye for design and user experience, will drive team success. We're looking for talented software engineers

Senior Quantum Scientist — Quantum Algorithms Boston, MA, USA Summary QuEra is seeking a deeply technical and theoretically grounded algorithms researcher to help advance the frontier of quantum computing. This role focuses on developing novel algorithms and quantum computational techniques inspired by and tailored to the capabilities of neutral-atom quantum devices. A strong candidate will bring deep expertise in quantum algorithm design and quantum information theory. As part of your role, you will lead research efforts that explore the boundaries of quantum advantage, investigate computational hardness and resource tradeoffs, and prototype algorithms that could run on QuEra's hardware. You will also collaborate closely with hardware and software teams to guide the co-design of algorithms and architectures, and shape the roadmap for algorithmic utility on neutral-atom systems. Key Responsibilities - Conduct original research in quantum algorithms, quantum algorithm complexity, and quantum information theory. - Design and analyze new quantum algorithms with demonstrable computational advantage. - Explore and classify algorithmic primitives aligned with neutral-atom capabilities. - Collaborate with the applications team to optimize performance under realistic architectural constraints. - Evaluate the landscape of quantum algorithm benchmarks and influence the development path for practical quantum utility on QuEra's platform. Qualifications - PhD in Computer Science, Physics, Mathematics, or a related discipline with specialization in quantum computing. - Strong research record in quantum algorithms or quantum information theory, as evidenced by top-tier publications or equivalent contributions. - Familiarity with core quantum algorithmic techniques (e.g., amplitude amplification, phase estimation, Hamiltonian simulation, and quantum arithmetic primitives).

Head of Data Center Acquisition 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. Why now Demand for Cerebras inference is high and climbing. We need ever-more power-ready data center capacity to meet demand for the world's fastest inference solution. Project facts often change as providers work through power, site, capital, design, security, and schedule issues. This work shapes customer delivery, capital use, and risk for years. The job demands a hands-on deal leader who can separate real capacity from optimistic claims and keep priority transactions on track. Role at a glance - Own the data center capacity pipeline

Postdoctoral Fellow - Applied Machine Learning in Quantum Systems Boston, MA USA Summary This role focuses on developing computational methods for in-the-loop stabilization of neutral atom Logical Quantum Processing Units (LQPUs). The position sits at the interface of quantum hardware and control systems, supporting both near-term experimental performance and the long-term development of control architectures for stable, fault-tolerant computing. The successful candidate will design and prototype state-of-the-art methods to enable reliable quantum operations and translate device measurements into actionable control feedback. Responsibilities include advancing capabilities such as measurement-informed feedback control and machine learning-driven inference. Key Responsibilities - Develop and deploy machine learning models for high-fidelity quantum operation inference and control prediction. - Design and prototype in-the-loop control mechanisms that adapt sequences based on measurement outcomes and system state. - Collaborate with physics, quantum error-correction, hardware, and control teams to validate new stack components using experimental data and system-level performance Required Qualifications - Ph.D. or equivalent experience in Physics, Computer Science, Electrical Engineering, or a related field, with a strong background in quantum computing or quantum physics. - Experience working with quantum computing platforms (neutral atoms, trapped ions, superconducting qubits, or similar). - Demonstrated experience working with Machine Learning for inference and hardware in loop. - Strong programming skills in Python, C++, or similar languages. - Strong analytical and problem-solving skills, with the ability to take technical ownership. - Effective communication skills and the ability to collaborate across physics, engineering, and software teams. - Proficiency with Git and modern collaborative development

Security & IT General Opportunities Sunnyvale CA or Toronto Canada 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 Team Our IT & Security team sits at the intersection of security, infrastructure, and cutting-edge AI systems. The team plays a critical role in ensuring Cerebras' environments are secure, reliable, scalable, and ready to support customers operating at the frontier of AI. We are looking for people who care deeply about operational excellence, security best practices, automation, and building systems that can support a rapidly growing organization. What You May Work On Depending on the role and team needs, you

Technical Support Representative Night shift USA Technical Support Representative - Night Shift Job Description: We are seeking an organized, efficient, and detail-oriented Technical Support Representative. The ideal candidate will possess strong technical expertise and the problem-solving skills necessary to provide effective support and maintenance. Key Responsibilities: - Provide comprehensive support, repair, and assistance to retail locations regarding POS software and hardware issues. - Repair and maintain equipment, including Point of Sale terminals, scanners/scales, printers, drawers, monitors, keyboards, and computers, along with their relevant software. - Assist in the setup and installation of new hardware and POS-related software. - Perform troubleshooting on core system remote devices. - Engage in various computer-related break-fix repairs as needed. - Effectively manage time, prioritize tasks, and work independently while maintaining strong communication with store staff. Qualifications: - Proven experience and knowledge in replacing, configuring, and setting up new hardware and software. - Strong understanding of POS hardware (including all peripherals) - Proficient in electronic troubleshooting at the board level, with capabilities to repair terminals, computers, and peripherals at the component level. - Proficient in networking. You need to have your own equipment that you can use, including dual monitors and a strong wired internet connection. If you are a motivated individual who thrives in a fast-paced environment and enjoys problem-solving, we invite you to apply for this exciting opportunity.

Manager - Data Center Asset tracking and Accounting 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 Manager will be primarily responsible for tracking and recovery of Cerebras's data center infrastructure and assets globally through asset end of life. This leadership position requires an organized, highly motivated professional with the ability to drive operational and process improvements. The individual will perform a variety of tasks ranging from routine to complex analysis and play a critical part in asset tracking operations, including asset dispositions, transfers, and periodic cycle counts. This role requires comfort operating in a

Computer Systems Analyst (Project Manager) United States We are seeking a highly skilled Computer Systems Analyst (Project Manager) with strong experience in system analysis, application delivery, and technical project management. The ideal candidate will serve as the bridge between business stakeholders and technical teams, leading the analysis, design, implementation, and optimization of enterprise applications, data solutions, and system modernization initiatives. The role requires expertise in requirements analysis, system architecture, data flows, cloud technologies, and project delivery, ensuring solutions are scalable, secure, and aligned with business objective

Customer Service Representative Sioux City, IA, United States This position requires warehouse customer knowledge and strong computer skills. Understanding HIGHJUMP platform is a must. Strong verbal communication with our high volume account customers and OTR drivers is required. Ability to navigate many tasks simultaneously is needed.

Performance & Reliability Engineer Sunnyvale, CA; Toronto, Ontario, Canada 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 Join Cerebras as a Performance & Reliability Engineer within our innovative Co-Design and Next Generation Team. Our groundbreaking CS-3 system has set new benchmarks in high-performance ML training and inference solutions. It leverages a dinner-plate sized chip with 44GB of on-chip memory to surpass traditional hardware capabilities. This role focuses on characterizing and optimizing the performance and reliability of state-of-the-art AI models running on Cerebras' breakthrough hardware. Responsibilities - Characterize and enhance the performance and reliability of advanced ML hardware/software

Advanced Technology: R&D Engineer - AI/ML, HPC Sunnyvale, CA; Toronto, Ontario, Canada; Vancouver, British Columbia, Canada 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 Team Cerebras builds wafer-scale AI processors-single chips delivering tens of PB/s of memory bandwidth and a dataflow architecture that accelerates at a granularity no multi-device system can match. The Advanced Technology Group (ATG) is Cerebras ' pathfinding organization. We work ahead of product to explore new architectures, demonstrate breakthrough performance on scientific and AI workloads, and shape the technical roadmap for future Cerebras hardware and software. Our work regularly appears at top-tier venues (Supercomputing,

Computer Vision Algorithms Engineer Remote, United States About Us: Swan delivers the future of defense and industry through scalable autonomous products. Swan is backed by leading defense VCs including a16z's American Dynamism fund. Role Overview: We are seeking an experienced Software Engineer to join our team. The ideal candidate will possess strong expertise in both modern and classical computer vision algorithms, including, but not limited to SLAM, feature tracking, detection, modern ML and deep learning techniques, as well as experience with programming with C++ and Python and building production grade vision systems. Experience in aerial systems, particularly UAV / UAS is strongly preferred. Key Responsibilities: - Design, develop, and implement computer vision systems, including navigation systems for aerial applications. - Write clean, efficient, and well-documented code in C++ and Python. - Collaborate with cross-functional teams to design and test integrate robotic and vision systems. - Collaborate with external stakeholders, including customers to understand requirements, conduct tests and understand changes and improvements needed to be made. - Optimize system performance and ensure robust, reliable operation in diverse environments. - Debug and troubleshoot system issues to identify and implement effective solutions. Qualifications and Skills: - Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field. - 5+ years of software development experience, ideally working on computer vision or machine learning problems. - Extensive experience in computer vision algorithms, SLAM, detection and tracking as well as modern machine learning and deep learning techniques. - Proficiency in C++ and Python,

Senior Computer Vision Machine Learning Engineer, Apple Wallet Austin, United States of America Join a dynamic AI and Machine Learning team focused on protecting millions of users from fraud and securing their identity every day. We operate at the intersection of cutting-edge research and production systems, collaborating across Apple-from other ML teams to Operations to Engineering-with strong leadership support and investment in our mission-critical work. We value continuous learning, intellectual curiosity, and commitment to excellence while maintaining focus on user privacy and security You will work on cutting edge computer vision technology in the field of facial recognition and adversarial object detection. You'll contribute to computer vision initiatives that directly protect users from fraud and identity theft, combining applied research with production deployment. This role offers the unique opportunity to see your work from methodology through implementation, with the autonomy to make meaningful technical decisions in a supportive, high-visibility environment. Bring computer vision expertise and industry best practices to strengthen team capabilities Collaborate on advanced computer vision projects, particularly in face recognition and facial expression/spoofing detection Deliver on roadmap commitments while identifying innovative approaches for model improvement Mentor early-career engineers, supporting their growth and project success Partner with cross-functional stakeholders, translating complex technical concepts and instilling trust Contribute to roadmap planning and execution, bringing industry best practices and novel architectural approaches Practice thoughtful prioritization and alignment in a high-opportunity environment while embracing Apple's core principles around privacy, security and the customer experience Minimum Qualifications: Strong foundation in computer vision techniques

Strategic Finance, Compute San Francisco, California, United States About the Team The Compute & Infrastructure Strategy team handles strategy and execution of OpenAI's compute roadmap. This team's key responsibilities span financial analysis & reporting, capacity planning, commercial and business development, and strategic partnerships. We partner across the business to allocate and deploy our resources for the highest impact outcomes. About the Role Compute is a key lever for OpenAI and AI progress. We are seeking a Strategic Finance Compute Lead to provide finance leadership for our compute and infrastructure spend and play a significant role in shaping our long-term compute strategy. You will play a critical role developing financial models for all areas of compute, analyzing spend patterns, and providing critical insights to optimize and plan for our future compute needs. This role will be a key partner to our scaling and supercomputing engineering teams providing financial expertise and guidance to optimize our capacity investments and drive strategic decision-making, while collaborating with other members of the finance organization to align our compute strategy with broader financial considerations. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Own and develop financial models across different elements of compute (GPUs, CPUs, storage and networking) - Lead strategic financial analysis for long-term capacity initiatives, working closely with scaling and supercomputing engineering teams - Maintain deep expertise on compute

AI Engineer, Model Quality and Performance 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 You'll own model quality and performance for Cerebras' inference offerings. You will define what "good" looks like across the models we serve, building AI-driven systems to measure it at scale, and translating those signals into artifacts our customers and product team actually use. You'll use AI agents to spin up custom eval suites per customer use case, mine trajectories for representative test data, automate the repetitive parts of release qual, and help build performance datasets and benchmarking workflows for customer use

Software Development Lead Analyst IN Hyderabad Roles & Responsibilities: The position will perform general software development on the company computer system so that company personnel, at all levels, can perform and record their day to day job activities. Write and test software on schedule in support of company objectives as defined by the software development manager. Resolve system outage incidents quickly using sustainable methods. Conform software to established coding guidelines, and Sarbanes-Oxley I/T guidelines, and ensure programs perform within acceptable CPU usage amounts. Communicate with other analysts as well as supervisors concerning software changes before, during, and upon their completion. Produce accurate time estimates for proposed projects. Responsible for the design, implementation, and effective support of related technologies. In addition, this individual has expert knowledge on Information Technology at large, with a firm understanding of related disciplines and how they interoperate. Responsible for leading design, implementation, and troubleshooting efforts and is directly accountable for the results. Skills Required: Bachelor's Degree in MIS, Computer Science, Engineering, Technology , Business Administration, or related discipline is required. With 10+ years of Development experience Knowledge of general computer environments/platforms, and familiarity with various computer languages and database structures. Specific knowledge of one or more of the following: CICS, DB2, TSO, JCL, COBOL, Ability to organize a project schedule and communicate with internal/external team members. Strong analytical and problem-solving skills; strong written and verbal communication skills with a strong command of English Solid solution design capabilities across functions and applications. Ability to work flexible working