Research Scientist – Parallel Computing

Huawei Canada is excited to announce a permanent opportunity for a Research Scientist.About the Team:The AnShi Lab is dedicated to pioneering innovative software architecture for next-generation gateways, emphasizing file security and cutting-edge software advancements. Our mission revolves around conducting extensive mid- to long-term research aimed at generating valuable patents and directing the evolution of data communication gateway technologies. We strive to set industry standards through intelligent, cloud-based software engineering while nurturing local talent and expertise to form a high-performing technical team that enhances organizational capability and dynamism.Position Overview:Evaluate the performance metrics and scalability challenges of our existing network gateway policy engine, and investigate parallel algorithms for rule lookups and incremental updates on GPU and heterogeneous CPU/GPU or multi-core CPU systems.Research hybrid CPU/GPU architectures akin to high-speed Deep Packet Inspection (DPI) and pattern-matching systems.Develop and assess novel data structures for efficient network gateway rule matching.Implement high-quality solutions in C/C++, ensuring they meet production standards in terms of performance, robustness, and maintainability.Collaborate closely with product teams and malware research units to effectively integrate new engines and solutions into existing products.Contribute to patent applications and, when applicable, academic or industry publications.Engage in additional malware research initiatives as required.The anticipated annual compensation for this position ranges from $106,000 to $156,000, contingent upon qualifications, experience, and demonstrated expertise.

Join Cerebras Systems as an AI/ML Research Scientist and be part of a pioneering team at the forefront of advanced technology. In this role, you will leverage your expertise in artificial intelligence and machine learning to develop innovative solutions that will revolutionize the field. Collaborate with top-tier researchers and engineers to push the boundaries of what's possible.

Join Huawei Canada as an AI Computing Systems Researcher and contribute to groundbreaking advancements in AI technology.Team Overview:The Advanced Computing and Storage Lab at the Vancouver Research Centre is dedicated to pioneering adaptive computing architectures that effectively manage the complexities of future application loads. Our mission is to ensure the robustness of training clusters through innovative dynamic configuration strategies and precision control systems, enhancing both stability and efficiency of computational power. We focus on crucial AI industry applications, including large model training and inference, utilizing cutting-edge techniques such as low-precision training and reinforcement learning to analyze bottlenecks and develop optimization solutions.Position Responsibilities:Drive advancements in AI systems on the Ascend platform by enhancing performance, efficiency, and usability tailored for large model training and inference.Design and develop optimization solutions focusing on FP8 optimization, reinforcement learning-driven training agents, and next-generation multi-modal understanding and generation.Integrate AI algorithm requirements with system-level architectural enhancements in computing, I/O, scheduling, and precision control to boost overall system performance.Establish stable and efficient AI training clusters using dynamic configuration and precision control to guarantee scalability and reliability.Create software frameworks, operator libraries, and system-level optimizations for NPU platforms to expedite large-model AI training processes.Lead innovative strategies in optimizing large-model training and inference through low-precision training, parallel strategy tuning, and reinforcement learning techniques.

This 12-month contract role is based in Vancouver, British Columbia, with the Advanced Computing and Storage Lab at Huawei Canada. The team focuses on adaptive computing architectures to support modern AI workloads, aiming to boost the stability and quality of training clusters. Work centers on dynamic configuration strategies and precision control systems that help optimize computing power clusters for AI applications. Role overview The AI Computing Systems Researcher will address challenges in large model training and inference. The lab uses methods such as low-precision training, multi-modal learning, and reinforcement learning to spot bottlenecks and deliver practical optimization solutions for AI systems. What you will do Improve performance, efficiency, and usability of AI systems on the Ascend platform, focusing on industry AI applications. Design and develop optimization solutions for AI training and inference, including FP8 optimization and reinforcement learning-driven training agents. Integrate AI algorithm requirements with system-level architectural improvements in computing, I/O, scheduling, and precision control. Build scalable AI training clusters using dynamic configurations and precision control to enhance reliability. Develop software frameworks, operator libraries, and acceleration libraries for NPU platforms to support large-model AI training. Lead optimization efforts for large-model training and inference using low-precision methods, parallel strategy tuning, and reinforcement learning. This position offers the opportunity to contribute to next-generation AI system capabilities in a collaborative research environment at Huawei Canada.

Join Huawei Canada as an Intern Researcher focused on AI Computing Systems in Vancouver! This 8 to 12 month internship offers a unique opportunity to work with cutting-edge technologies and contribute to innovative AI solutions.About Our Team:The Advanced Computing and Storage Lab is part of the Vancouver Research Centre, dedicated to pioneering adaptive computing architectures that tackle the challenges of variable application loads. Our focus on stability and quality ensures efficient training clusters and dynamic configuration strategies, with an emphasis on AI applications like large model training and inference using technologies such as low-precision training and reinforcement learning.Internship Overview:This internship will target critical AI application scenarios, enhancing performance and usability of AI systems on the Ascend platform through innovative techniques like low-precision training and multi-modal optimization.You will be responsible for designing and developing optimization solutions for AI training and inference systems, including FP8 optimization and RL-driven training agents.The role demands combining AI algorithm requirements with system-level optimizations in computing, I/O, scheduling, and precision control to boost performance.You will build robust AI training clusters utilizing dynamic configurations to ensure scalability and reliability.This internship includes the development of software frameworks, operator libraries, and system-level optimizations for NPU platforms aimed at accelerating large-model AI training.Drive groundbreaking advancements in large-model training and inference through low-precision training and parallel strategy tuning.

Join Our Innovative Team!Sanctuary, a global frontrunner in developing AI-driven control systems for humanoid robotics, is on the lookout for a Staff Research Scientist specializing in dexterous manipulation to enhance our groundbreaking projects.In this pivotal role, you will leverage state-of-the-art methodologies to design robust training and data collection systems. You will manage the assessment of these algorithms in simulated environments and deploy them on our advanced robots in real-world applications. This is a unique opportunity to contribute to pioneering advancements in haptic and proprioceptive sensing techniques, utilizing our in-house robot equipped with dexterous hands.

Parallel Domain builds virtual environments that help autonomous vehicles and robots prove their capabilities before operating in the real world. These simulated landscapes must meet strict physical, geometric, and sensor-level standards, providing a reliable space for clients to test and validate advanced autonomous systems. To achieve this, the team relies on a sophisticated content and rendering pipeline. The work goes beyond traditional AAA game development, using methods like Gaussian splat scene reconstruction, neural rendering, AI-powered content workflows, and modern procedural systems. These approaches are reshaping what it means to be a technical artist in this field. Role overview The Principal Technical Artist will lead the development of new workflows for building high-fidelity virtual environments. This is a senior individual contributor role based in Vancouver, BC. The position involves close collaboration with rendering, simulation, and content engineering teams to solve complex challenges in content creation and pipeline design. What you will do Develop and implement advanced workflows for environment creation using Unreal Engine, Houdini, Python, shader programming, and AI technologies. Work alongside multidisciplinary teams to address technical and creative challenges in content pipelines. Apply innovative techniques to push the fidelity and scalability of simulation environments. Requirements Expertise with tools such as Unreal Engine, Houdini, Python, and shader code. Experience with advanced content creation techniques, including neural rendering and procedural systems. Ability to collaborate effectively with engineering and creative teams. Strong background in technical art for high-fidelity environments.

Join Huawei Canada as a Co-op Researcher and be at the forefront of media technology innovation!About Our Team:Since its inception in 2012, the Central Media Technology Institute (CMTI) has positioned itself as the hub for media technology advancements at Huawei. Our Graphics Technology Lab is dedicated to pioneering research and innovative solutions in photography, audio, video, computer graphics, XR, and codec standards, ensuring that Huawei remains a leader in the media technology sector. Our talented R&D team consists of CG algorithm experts, researchers, software architects, and standards specialists who are committed to enhancing graphics performance and user experience.Position Overview:Engage in cutting-edge research and engineering within the graphics domain to support R&D initiatives.Translate advanced AI/CG research outcomes into practical solutions for various Huawei products, addressing real-world challenges.Contribute to the field by authoring high-quality research papers or patents based on your findings.The anticipated annual salary for this position ranges from $88,000 to $104,000, contingent on educational background, experience, and expertise demonstrated.

Join Huawei Canada as a Senior Researcher on a 12-month contract to advance real-time rendering technologies.Team Overview:Become part of the Software-Hardware System Optimization Lab, where we strive to enhance smartphone power efficiency and performance through innovative software-hardware optimization and architectural advancements. Our team is dedicated to keeping pace with cutting-edge technologies, enhancing mobile AI, graphics, multimedia, and software architecture for mobile devices.Role Responsibilities:• Architect and implement real-time computer graphics rendering systems across various devices.• Innovate and develop advanced rendering techniques, including shaders and content pipelines.• Conduct profiling and optimization of GPU/CPU performance across multiple platforms.• Investigate the latest graphics algorithms and technologies for 3D applications and gaming.The expected annual compensation ranges from $78,000 to $168,000, based on education, experience, and demonstrated expertise.

We are seeking an enthusiastic and detail-oriented Market Research Assistant Intern to join our dynamic team at Odonit Solutions in Vancouver. In this role, you will be responsible for conducting comprehensive market studies, including analyzing market statistics, conducting sales and rental comparable surveys, and gathering valuable market intelligence.You will assess regional and national economic conditions to understand their impact on our clients and their business needs. Your support will extend to various projects that involve writing, editing, researching, and reporting.Key responsibilities include:• Conducting in-depth research on market trends and relevant industry insights.• Assisting in business development initiatives and special projects.• Performing miscellaneous administrative tasks as required.• Offering support to our Research and Data Team.• Utilizing various techniques for interpreting results, from data aggregation to data mining.• Coordinating the maintenance of our database.

Join Huawei Canada as a Distinguished Engineer in AI Computing Systems.About the Team:The Advanced Computing and Storage Lab, part of the Vancouver Research Centre, is dedicated to pioneering adaptive computing system architectures. We tackle the complexities introduced by flexible and variable application loads to enhance stability and quality in training clusters. Our focus includes developing dynamic cluster configuration strategies and precision control systems to ensure efficient computing power clusters. Our lab is actively engaged in key industry AI applications, particularly in large model training and inference, utilizing technologies such as low-precision training, multi-modal training, and reinforcement learning. We are committed to conducting bottleneck analysis and creating optimization solutions that enhance training, inference performance, and overall usability.About the Job:As an industry leader in training cluster software frameworks, you will gain insights into the evolution of AI large model training frameworks. You will plan and design AI frameworks and software features for various scenarios like large model pre-training, post-training, and integrated training and inference, establishing critical capabilities for our training cluster software framework.Lead the team in optimizing large model training by developing key technologies such as low-precision training, parallel strategy tuning, and training resource optimization, driving the commercial implementation of these optimization technologies.Focus on our training servers, super nodes, and other products, leading the development of large model AI training frameworks, operator libraries, and acceleration libraries. Leverage system engineering and software-hardware collaboration to maximize AI cluster computing efficiency.Identify and collaborate with high-quality academic resources in large model training, working alongside domain experts to advance our technological capabilities.

Join PSI as a Senior Clinical Research Associate (CRA) and immerse yourself in a dynamic role where you will execute a variety of monitoring tasks across diverse clinical studies. With a commitment to maintaining the highest quality standards in the industry, you will play a crucial part in advancing medical research.Your responsibilities will include:Conducting and reporting Site Initiation Visits (SIV), Routine Monitoring Visits (RMV), and Closeout Visits (COV) on-site.Performing Case Report Form (CRF) reviews, source document verification, and query resolution.Managing site communications and fostering strong relationships with study sites.Serving as a key point of contact for in-house support services and vendors.Collaborating with internal project teams to provide updates on study progress.Engaging in feasibility research to assess potential study sites.Assisting the regulatory team in preparing documentation for study submissions.Preparing for and participating in audits and inspections to ensure compliance and quality assurance.

As a Clinical Research Coordinator at Abcellera, you will play a pivotal role in managing and facilitating clinical trials. Your responsibilities will include coordinating day-to-day operations, ensuring compliance with regulatory requirements, and working closely with cross-functional teams to support the development of innovative therapeutic solutions.

Asana seeks a Staff Data Scientist in Vancouver, BC. This role centers on advanced analytics and machine learning to help guide decisions across the company. Role overview Work will span both product development and operational improvements. The goal is to generate insights that help shape Asana’s products and make them more effective for users. What you will do Apply machine learning and analytics to company data Support teams with insights that influence product direction Contribute to operational improvements using data-driven findings Location This position is based in Asana’s Vancouver, BC office.

Huawei Canada is excited to announce a permanent opening for an AI Security Researcher.About Our Team:At the forefront of technology, the AnShi Lab is dedicated to pioneering next-generation gateway software architecture with an emphasis on file security and innovative software development. Our team engages in mid- to long-term research aimed at generating high-value patents and directing the evolution of datacom gateways. Our mission is to set industry benchmarks through advanced, cloud-based intelligent software engineering, while nurturing local talent and building a dynamic team of technical experts to enhance both organizational performance and individual capabilities.Position Overview: Collaborate with malware analysts and security stakeholders to delineate problem scopes, establish labeling strategies, and devise evaluation methodologies.Conduct thorough industry and academic research, producing succinct surveys and technical reports.Design and implement advanced machine learning methods (LLM/GNN/ML) for malware and threat classification (e.g., family/behavior classification, malicious vs. benign).Develop scalable data pipelines for effective data ingestion, preprocessing, deduplication, and dataset management.Drive the end-to-end experimentation process: model training, calibration, benchmarking, error analysis, and iterative improvements.Contribute to patents and publications; optional travel for conferences may be required.The target annual compensation for this role ranges from $106,000 to $156,000, depending on educational background, experience, and demonstrated expertise.

Join RESPEC Inc., a leader in environmental consulting, as a Senior Environmental Scientist or Engineer. In this pivotal role, you will leverage your expertise to analyze environmental data, develop sustainable solutions, and contribute to projects that make a positive impact on our planet. You will collaborate with a team of dedicated professionals and utilize cutting-edge technology to address complex environmental challenges.

Join Huawei Canada for an exciting 12-month contract as a Graphic Rendering Researcher.Team Overview:At the forefront of innovation, the Software-Hardware System Optimization Lab is dedicated to enhancing smartphone performance and power efficiency through state-of-the-art software-hardware optimization and architectural advancements. We continuously monitor the evolution of cutting-edge technologies to strengthen our competitive edge in mobile AI, graphics, multimedia, and software architecture.Role Overview:Conduct research on the latest developments in graphics and rendering algorithms, including 3D Graphics Systems (3DGS) and Neural Rendering.Gain deep insights into recent advancements in rendering technologies, shaders, and ongoing research in this dynamic field.Explore algorithm and pipeline optimizations targeted for mobile platforms and chipsets.Develop prototypes and profiles across various graphics topics for different devices, including PCs and mobile phones.Collaborate closely with internal research and development teams.The anticipated annual salary ranges from $78,000 to $168,000, depending on qualifications and experience.

About Dialpad Dialpad offers an AI-native business communications platform that brings together calling, messaging, meetings, and contact center features in one solution. The platform’s AI understands conversations as they happen, helping teams communicate more efficiently. More than 70,000 companies worldwide use Dialpad, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply. These organizations rely on Dialpad to build stronger customer relationships through actionable insights powered by AI. Dialpad has taken a lead in Agentic AI, developing intelligent agents that not only analyze conversations but also take actions to automate workflows, answer customer questions, and speed up revenue processes in real time. The DAART initiative (Dialpad Agentic AI in Real Time) continues to advance communication technology. Learn more at dialpad.com. Applied Scientist Role in Vancouver, Canada The Applied Scientist will join Dialpad’s AI team in Vancouver, contributing to research and development efforts that influence the direction of the platform.

impact.com is a leading partnership marketing platform that brings together affiliates, influencers, content publishers, and brand advocates to drive business growth. The platform helps more than 5,000 global brands, including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics, manage over 350,000 partnerships. impact.com’s suite of products, Performance, Creator, and Advocate, integrates all partner types, supporting brands as they build authentic, performance-driven relationships throughout the customer journey. Role overview The Senior Data Scientist, Programmatic Algorithms, will join the Programmatic Experience Group as an embedded expert. This high-responsibility individual contributor role focuses on designing and implementing machine learning models that optimize yield, pricing, and inventory allocation at scale. The work sits at the intersection of data science, platform engineering, and marketplace economics. Key responsibilities Lead the design and implementation of machine learning models to optimize auction pricing, bid shading, floor price settings, and yield across impact.com’s programmatic inventory. Architect data pipelines to support model development and deployment. Engineer features that improve model performance. Deploy real-time inference systems that enable swift, data-driven decisions. Collaboration and impact This role works closely with Product, Data Science, and Programmatic Delivery Engine Engineering teams. While collaboration is essential, the position also offers significant autonomy. The Senior Data Scientist will influence how the programmatic marketplace balances advertiser performance with publisher monetization, making a measurable impact on the organization. What we look for Analytical rigor and practical instincts are essential. The ideal candidate brings deep experience in both data science and machine learning engineering, with a genuine enthusiasm for solving complex problems in both areas.

At AbCellera, we believe in the power of medicine and the impact it can have on lives. Our mission is to consistently break barriers and deliver innovative therapies to patients who need them most. We are committed to scientific integrity and are unafraid to explore the unknown. We are seeking a highly skilled and strategically focused Principal Scientist to become a vital part of our Non-Clinical Safety team located in Vancouver, Canada. In this role, you will lead the design, planning, monitoring, and reporting of both non-GLP and GLP toxicology studies, providing essential nonclinical safety support for projects spanning early to late-stage development. Your daily responsibilities may include: Leading the strategic planning, design, execution, and interpretation of nonclinical toxicology programs to support IND, CTA, and BLA submissions, including general toxicity and reproductive and developmental studies, in accordance with global regulatory standards. Acting as the primary scientific liaison with contract research organizations (CROs), offering strategic oversight during protocol development, study execution, data analysis, and report finalization to ensure the timely, high-quality, and GLP-compliant completion of studies. Serving as an integral member of cross-functional discovery and development teams, contributing toxicology expertise to guide candidate selection, risk assessment, and program advancement. Providing critical scientific evaluations of toxicology data and clearly communicating risk-benefit assessments and recommendations to project teams and senior leadership, including implications for clinical development and regulatory strategies. Authoring and reviewing nonclinical safety sections of regulatory documents (INDs, CTAs, IBs, and BLAs), and serving as a subject matter expert during global regulatory interactions and health authority communications. Driving the development of integrated nonclinical safety strategies across AbCellera’s therapeutic portfolio, ensuring consistency, scientific rigor, and alignment with corporate objectives. Maintaining scientific leadership by staying updated on advances in toxicology science, methodologies, and evolving regulatory guidance, and translating these insights into best practices for internal programs.