AI Hardware Performance Architect

At Tenstorrent, we are at the forefront of transformative AI technology, setting new standards for performance, user-friendliness, and cost-effectiveness. As AI reshapes the computing landscape, our solutions are designed to integrate advancements in software models, compilers, platforms, networking, and semiconductors. Our talented team has engineered a hig…

Role overview Tenstorrent seeks a Lead Hardware Solutions Architect based in Toronto, Ontario. The position centers on creating and advancing hardware architectures that serve both client needs and emerging technology trends. Collaboration with teams across the company is a key part of the role, ensuring solutions are well-integrated and forward-looking. What you will do Design and develop hardware architectures for new products and solutions Work closely with engineering, product, and other teams to deliver integrated hardware systems Contribute technical expertise to guide hardware projects from concept through implementation Help define and refine hardware strategies to support client requirements and industry trends

About AltaML AltaML builds and deploys applied AI software for clients across North America. The team focuses on operationalizing AI to solve real business problems and drive transformation in various industries. Our Culture Experimentation and collaboration shape daily work at AltaML. The company values creativity and welcomes those who enjoy solving complex problems and delivering strong customer experiences. Role Overview The Senior AI Architect acts as a technical leader, designing and implementing scalable, secure AI solutions for production use. This position guides clients from early concepts through prototyping and into measurable results. This hybrid role blends deep technical skills with commercial awareness. The architect ensures agentic systems are set up for user adoption, strong ROI, and future growth. Regular collaboration with industry leaders, engineering teams, and executive stakeholders is central to the work. Location Toronto

Join Lyft as an AI Business Solutions Architect, where you will play a pivotal role in leveraging artificial intelligence to deliver innovative solutions that enhance our business operations. You will collaborate with cross-functional teams, transforming complex business requirements into effective AI strategies and solutions.Your responsibilities will include designing and implementing AI-driven business processes, conducting stakeholder meetings to gather requirements, and providing guidance on best practices in AI deployment. You will be instrumental in driving the successful integration of AI technologies within Lyft, ensuring that our solutions not only meet the current business needs but also anticipate future challenges.

About Us: Axiomatic AI is pioneering a new generation of AI systems that reason with the precision of the scientific method. By integrating deep learning with formal logic and physics-based modeling, we develop verifiable and interpretable AI systems that assist and enhance the capabilities of human researchers in critical scientific and engineering tasks. Our Mission, 30×30: We are dedicated to achieving a 30× improvement in the speed, accessibility, and cost-effectiveness of semiconductor and photonic hardware development by the year 2030. Our goal is to transform hardware design and simulation within these fields, and we are assembling a team of driven professionals to translate these groundbreaking innovations from research into market-ready solutions. Position Overview We are on the lookout for an AI Measurement Architect to engineer agentic workflows for the measurement of electro-optic, RF analog, and quantum devices and circuits across die, wafer, package, and board levels. In this role, you will design the automation of intricate measurement workflows and create algorithms that expedite the characterization of photonic, quantum, and analog circuits. Responsibilities Design measurement systems that leverage agentic reasoning, feedback control, and statistical inference to autonomously characterize semiconductors at the die, wafer, package, and board levels. Develop active learning and Bayesian optimization algorithms that traverse high-dimensional parameter spaces for swift characterization. Utilize system identification and physics-informed machine learning techniques for precise measurements. Establish experimental protocols for innovative technologies (such as qubit readout, RF linearity, and photonics) and translate them into executable agentic tasks. Construct workflows that align real-time measurement data with simulation models. Create self-healing routines that autonomously identify calibration drift, diagnose instrument faults, and optimize measurement strategies. Requirements Master's or PhD in Engineering (Electrical, Computer, Mechanical) or Applied Physics, or a closely related discipline. 3+ years of experience in quantum technologies, semiconductor process control, photonics, or similar fields. 3+ years of experience in semiconductor design-fab-test flows and design-measurement feedback loops. 5+ years of experience in low-frequency, high-frequency, and precision measurements and instrument control at die, wafer-scale, package, and board levels.

At Mod Op, we are revolutionizing the marketing landscape with our innovative AI-driven solutions that enhance creativity, strategy, and execution at scale. Join us as we redefine the agency-client and consumer-business relationships to deliver memorable experiences. As a Senior AI Architect on Mod Op’s Innovation Team, you will play a pivotal role in shaping the future of marketing by integrating data, behavioral insights, and state-of-the-art AI technologies. Your mission will be to design intelligent tools and agents that elevate creativity, boost efficiency, and drive growth for leading global brands. Collaborating with a diverse team of strategists, data scientists, creatives, and technologists, you will create and implement customized AI solutions that cater to various industries, including CPG, entertainment, food & beverage, and B2B. Your passion for understanding human behavior and eagerness to experiment will fuel innovations that transform how customers discover, engage with, and purchase products and services. This is not just a research role; it's a hands-on opportunity to build, test, learn, and deliver results. You will be instrumental in helping Mod Op and our clients evolve rapidly, intelligently, and more humanely.

At RAVL, we empower technologists to advance their careers and drive innovation. Our mission is to seamlessly connect strategy and execution while prioritizing the well-being of our team and clients. We define our success through the meaningful, sustainable impacts we achieve together. We're committed to leaving our clients in a better position than we found them, fostering an environment where our employees can take pride in their contributions to Build. Better. As an AI Solution Architect at RAVL, you will play a pivotal role in shaping AI use cases from conception to implementation within the enterprise AI portfolio of a major financial services client. Your responsibilities will include defining solution architectures, spearheading platform consolidation efforts, and navigating enterprise governance processes to translate business objectives into robust, production-ready designs. You will collaborate closely with client stakeholders, leveraging your extensive knowledge of Microsoft Foundry and modern AI/ML methodologies to deliver practical solutions in a regulated environment.

At Tenstorrent, we are at the forefront of transformative AI technology, setting new standards for performance, usability, and cost-effectiveness. As AI continues to reshape the computing landscape, our solutions are evolving to seamlessly integrate advancements in software models, compilers, platforms, networking, and semiconductor technologies. Our talented team has successfully developed a high-performance RISC-V CPU from the ground up and shares a collective passion for AI, driven by our commitment to creating the ultimate AI platform. We foster an environment of collaboration, curiosity, and a relentless pursuit of tackling complex challenges. We are expanding our team and are eager to welcome contributors of all experience levels.Join our Tensix Team, where we are architecting the next generation of high-performance AI compute systems. We are seeking a Power Architect to spearhead architectural strategies, modeling, and design decisions, fundamentally shaping the power optimization across our product range. This is a hands-on role with significant impact on the development of power-aware systems from inception.This position is hybrid, based out of Toronto, Ontario, or Austin, Texas.We invite candidates with diverse experience levels. During the interview process, we will evaluate candidates for the appropriate level, and offers will be aligned accordingly, which may differ from this posting.

At Tenstorrent, we are at the forefront of groundbreaking AI technology, setting new benchmarks for performance, usability, and cost-effectiveness. As AI continues to transform the computing landscape, our solutions are evolving to integrate advancements in software models, compilers, platforms, networking, and semiconductors. Our talented and diverse team has created a high-performance RISC-V CPU from the ground up and shares a collective passion for AI, driven by a commitment to develop the premier AI platform in the industry. We prioritize collaboration, curiosity, and a dedication to tackling complex challenges. As we expand, we are eager to welcome contributors of various experience levels to our team.Our Tensix team is focused on developing custom AI compute cores, RISC-V CPUs, and chiplet-based architectures for applications in datacenters, edge computing, and automotive AI. Design Verification Engineers within our team play a critical role in validating compute IP and subsystems, while also building scalable DV infrastructure to maintain rapid, automated, and production-quality verification.This position is hybrid, based in either Toronto, ON or Austin, TX.We encourage applicants with varying levels of experience to apply. During the interview process, candidates will be evaluated to determine the appropriate level, with offers tailored accordingly.

Role Overview Capco is seeking a Lead AI Technical Architect with a focus on Financial Services for its Toronto office. This position centers on designing and implementing advanced AI solutions that strengthen clients' financial operations. Collaboration with teams across disciplines is central to the role, with an emphasis on using technology to improve the efficiency of financial services. What You Will Do Lead the architecture and delivery of AI-driven projects for financial sector clients. Work closely with colleagues from various specialties to develop and deploy technology solutions. Mentor junior architects and developers, supporting their growth and ensuring project success. Key Qualifications Strong background in machine learning, data analytics, and financial technology. Experience guiding teams and delivering complex technology projects. Location This role is based in Toronto, Canada.

Hello and thank you for your interest! Are you on the lookout for an exciting new challenge, or simply exploring your options? You may have found the perfect opportunity!We are seeking a Hardware Product Manager to take charge of and enhance our hospitality and retail hardware offerings, as well as the complete merchant experience (from selection to purchase, delivery, setup, operation, and replacement). Your goal will be to ensure that the right product forms are available, function reliably, and are delivered profitably across various regions.Key ResponsibilitiesOversee the entire hospitality or retail hardware portfolio, managing everything from sales strategies to product evolution (launch, scaling, lifecycle management, and deprecation).Establish a multi-quarter roadmap that aligns with our broader hardware strategy, managing dependencies and driving measurable outcomes.Guide new initiatives through their complete lifecycle: from discovery to PRDs, vendor selection, validation/testing, launch, and ongoing support.Engage with merchants (owners, managers, staff) to identify workflow pain points and convert insights into prioritized roadmap items.Ensure supplier accountability regarding feature sets, quality, cost, and lead times, utilizing field signals (RMAs/tickets) to implement corrective actions.Lead cross-functional teams in Product, Design, Hardware Operations, Support, GTM, Finance, and Legal to ensure smooth launches and enhance portfolio profitability.Qualifications5+ years experience as a Product Manager in a hardware or hardware-enabled SaaS context (devices, peripherals, accessories), with at least 1-2 successful end-to-end launches.Proven track record of managing the complete hardware lifecycle: from discovery and requirements gathering to selection, testing, launch, iteration, and deprecation.Hands-on experience with hospitality workflows: Payments, POS systems, Mobile POS, Kitchen Display Systems, Kiosks, and Networking.Ability to lead cross-functional teams across Product, Design, Operations/Supply Chain, Support, and GTM.Personal AttributesStrong sense of ownership: Ability to work independently, take initiative, and assume responsibility in ambiguous situations.Product intuition: Capable of leveraging merchant empathy and engagement to gain insights that inform product decisions.

Cerebras Systems is at the forefront of AI technology, having developed the world's largest AI chip, which is 56 times larger than traditional GPUs. Our revolutionary wafer-scale architecture delivers unparalleled AI compute power equivalent to dozens of GPUs on a single chip, combined with the ease of programming as if it were a single device. This innovative approach enables us to achieve industry-leading training and inference speeds, allowing machine learning practitioners to run extensive ML applications effortlessly, without the complexities associated with managing numerous GPUs or TPUs. Cerebras is trusted by leading model labs, global enterprises, and pioneering AI-native startups. Notably, OpenAI recently announced a multi-year partnership with Cerebras, aimed at deploying 750 megawatts of scale, revolutionizing critical workloads with ultra high-speed inference. Thanks to our groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution globally, exceeding GPU-based hyperscale cloud inference services by more than 10 times. This significant enhancement in speed is redefining the user experience of AI applications, facilitating real-time iterations and amplifying intelligence through enhanced agentic computation.About The RoleAs a member of the inference performance team, you will work at the critical intersection of hardware and software, enhancing end-to-end model inference speed and throughput. Your focus will encompass low-level kernel performance debugging and optimization, system-level performance analysis, performance modeling, and the creation of tools for performance diagnostics and projections.ResponsibilitiesDevelop performance models (kernel-level, end-to-end) to forecast the performance of state-of-the-art and client ML models.Optimize and troubleshoot our kernel micro code and compiler algorithms to enhance ML model inference speed, throughput, and compute utilization on the Cerebras WSE.Analyze and debug runtime performance at the system and cluster level.Create tools and infrastructure to visualize performance data collected from the Wafer Scale Engine and our compute cluster.

About OLIXAt OLIX, we are pioneering the next technological revolution. The rapid expansion of AI technologies has exposed significant gaps in existing infrastructure, making it imperative to innovate beyond outdated hardware paradigms. Our flagship product, the Optical Tensor Processing Unit (OTPU), redefines performance and energy efficiency, positioning us as leaders in this transformative era.Role Overview:As the Engineering Manager for Performance Modelling, you will spearhead a dedicated team of six engineers tasked with defining and validating OTPU architecture specifications across various generations. You will collaborate extensively with compiler, ASIC, product, and business development teams to ensure alignment between architectural decisions, customer requirements, and software-hardware integration timelines.We seek a dynamic engineering manager with proven experience in leading high-performing teams to achieve significant business outcomes. Your technical acumen and leadership abilities will be key to fostering a collaborative environment that drives innovation and execution.Key Responsibilities:Develop and execute the performance modelling roadmap at OLIX, ensuring alignment with core business objectives to optimize customer satisfaction and business results.Collaborate with ASIC and compiler teams to articulate and validate OLIX's architectural specifications through rigorous performance modelling across OTPU iterations.Cultivate a thriving, high-performance culture that emphasizes innovation, agility, and operational excellence.Promote a standard of technical excellence through effective design review practices and clear ownership of technical responsibilities in a fast-paced hardware/software co-design setting.Guide strategic technical decisions to harmonize long-term sustainability with immediate project deliverables.Qualifications:Demonstrated engineering leadership in managing complex, long-term projects in dynamic environments, with a strong sense of accountability for team performance.Extensive experience in performance modelling, architecture validation, and cross-functional collaboration.

BusPlanner is seeking a Hardware Operations Specialist to support its transportation management platform. This remote role is based in Toronto, Ontario, Canada. Role overview This position focuses on managing the full lifecycle of hardware systems. Key tasks include installation, ongoing maintenance, and optimization of hardware to keep systems running smoothly. Collaboration Working with teams across the company, the Hardware Operations Specialist helps ensure hardware solutions are integrated effectively and perform reliably within BusPlanner’s platform.

About OLIXAt OLIX, we are at the forefront of a technological revolution. The demand for AI is surging faster than any previous technology, leading to a significant gap in infrastructure. Conventional hardware designs have reached their limits, and the industry is in desperate need of innovation. We are pioneering a new era with our Optical Tensor Processing Unit (OTPU), which promises unparalleled performance and energy efficiency that current chips cannot match.The RoleWe are looking for a Senior Performance Modelling Engineer to take ownership of analytical and simulation models that guide the architecture and software development of our OTPU. Your expertise will be vital in creating functional simulators and high-fidelity, cycle-accurate models of our optical computing system. This position is essential for exploring design possibilities and delivering insights that will shape our software, hardware, and optical strategies. Ideal candidates will thrive in a dynamic environment at the intersection of hardware architecture, software tools, and machine-learning workload analysis, with a passion for data-driven decisions and rapid prototyping.ResponsibilitiesProject Ownership: Lead and execute projects within your team's roadmap that unlock critical technical and business milestones essential for OLIX's success.Collaboration: Partner closely with hardware, compiler, and ML framework teams to ensure that models accurately represent reality and meet performance targets.Functional Simulator: Design, develop, and maintain a functional simulator for the OPTU subsystem and its complete pipeline.Performance Simulator: Create and maintain architectural and cycle-accurate models of the OPTU subsystems and pipeline, identifying key throughput, latency, and utilization bottlenecks to propose architectural or scheduling solutions.Workload Analysis & Bottleneck Hunting: Use benchmarks (including LLMs, diffusion, and graph workloads) to gather detailed traces.Design-Space Exploration: Conduct extensive parameter sweeps using your functional models to analyze trade-offs and steer the software, hardware, and optical teams, presenting results in clear, quantitative analyses and design recommendations.

Cerebras Systems is at the forefront of AI innovation, creating the world’s largest AI chip, a staggering 56 times larger than traditional GPUs. Our revolutionary wafer-scale architecture delivers the computational power of dozens of GPUs within a single chip, paired with the simplicity of a unified programming interface. This unique approach enables us to achieve unparalleled training and inference speeds, empowering machine learning practitioners to execute large-scale ML applications effortlessly, without the complexities associated with hundreds of GPUs or TPUs.Among our esteemed clientele are leading model laboratories, global enterprises, and pioneering AI-native startups. Recently, OpenAI announced a multi-year collaboration with Cerebras, aiming to leverage 750 megawatts of scale to revolutionize key workloads through ultra-high-speed inference.Thanks to our groundbreaking wafer-scale architecture, Cerebras Inference provides the fastest Generative AI inference solution available today, boasting speeds over ten times faster than GPU-based hyperscale cloud services. This extraordinary increase in speed is reshaping the user experience of AI applications, enabling real-time iterations and enhancing intelligence through advanced agentic computation.About The RoleJoin our inference model team, dedicated to advancing state-of-the-art models by numerically validating and accelerating innovative concepts on our wafer-scale hardware. In this role, you will prototype architectural enhancements, construct performance evaluation pipelines, and translate quantitative insights into actionable changes that drive production success.Key ResponsibilitiesPrototype and benchmark innovative concepts such as new attention mechanisms, mixture of experts (MoE), speculative decoding, and other emerging advancements.Create agent-driven automation tools that design experiments, schedule runs, triage regressions, and prepare pull requests.Collaborate closely with compiler, runtime, and silicon teams, gaining a unique perspective on the complete software/hardware innovation stack.Stay current with the latest open- and closed-source models; execute them on wafer scale first to identify new optimization opportunities.

At Varicent, we're not merely changing the Sales Performance Management (SPM) landscape—we're revolutionizing how businesses achieve revenue success. Our state-of-the-art SaaS solutions empower revenue leaders worldwide to craft more effective go-to-market strategies, enhance seller performance, and tap into hidden potential. Recognized as a leader in innovation, Varicent shines in the 2025 Forrester Wave Report for SPM, 2023 Ventana Research Revenue Performance Management (RPM) Value Index, Gartner Peer Insights, 2024 Gartner SPM Market Guide, and G2. Our solutions are trusted by a diverse array of global industry leaders including T-Mobile, ServiceNow, Wawanesa Bank, Shaw Industries, Moody's, Stryker, and many more. Here’s why you’ll excel at Varicent:Innovate with Purpose: Create impactful solutions for customers globally.Join Excellence: Collaborate within a diverse and innovative team.Shape the Future: Lead initiatives in revenue optimization.Grow Together: Realize your potential in a nurturing environment.Join us at Varicent—where your talent and ambition converge with limitless opportunities for success!

About Future Secure AI Future Secure AI builds advanced solutions where artificial intelligence meets practical business needs. The company partners with global enterprises across many industries to address significant challenges. BRAVER values, bravery, rigor, and curiosity, shape both the culture and daily work. The leadership team combines deep experience with an open-door approach, so employees are seen and supported. Professional growth matters here, and individual success is tied closely to the company's progress. Role Overview: Senior Solutions Architect Based in Toronto, Ontario, the Senior Solutions Architect leads the design and development of technical frameworks for AI Co-Workers in complex client and platform environments. This is a hands-on architecture position for someone skilled at turning business requirements into strong, cloud-native, AI-powered systems.

Cerebras Systems is revolutionizing AI with the largest AI chip globally, measuring 56 times larger than traditional GPUs. Our innovative wafer-scale architecture delivers the computational power of numerous GPUs on a single chip, combining unparalleled performance with the simplicity of a single device. This unique approach enables Cerebras to provide leading-edge training and inference speeds, allowing machine learning professionals to effortlessly execute large-scale ML applications without the complexities of managing multiple GPUs or TPUs.Cerebras counts among its esteemed clients top-tier model laboratories, major global enterprises, and pioneering AI-native startups. Recently, OpenAI announced a multi-year collaboration with Cerebras, aiming to deploy 750 megawatts of power to transform critical workloads with ultra-high-speed inference.The groundbreaking wafer-scale architecture of Cerebras Inference offers the fastest Generative AI inference solution worldwide, exceeding GPU-based hyperscale cloud inference services by over ten times. This dramatic improvement in speed is reshaping the user experience of AI applications, facilitating real-time iterations and enhancing intelligence through advanced agentic computation.About The RoleJoin Cerebras as a Performance Engineer within our innovative Runtime Team. Our cutting-edge CS-3 system, powered by a network of modern and robust x86 machines, has established new benchmarks in high-performance ML training and inference solutions. Leveraging a chip the size of a dinner plate with 44GB of on-chip memory, this role will challenge and expand your expertise in optimizing AI applications and managing computational workloads primarily on the x86 architecture that supports our Runtime driver.

Join Databricks as a Solutions Architect and play a critical role in helping customers leverage our cutting-edge data and AI solutions. You will collaborate with cross-functional teams to design, implement, and optimize data architectures that drive business value.