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Experience Level
Experience
Qualifications
Successful candidates will possess a strong background in Risk Analysis and Management, Reliability Engineering, and Safety Assessment techniques. A Bachelor's degree in Engineering or a related field is preferred, along with proven experience in RAMS methodologies within the rail or transportation sectors.
About the job
AECOM is seeking a dedicated RAMS Engineer to join our team, focusing on enhancing operational safety within rail systems. In this role, you will apply your expertise to identify and mitigate risks, ensuring compliance with safety regulations while contributing to innovative solutions in rail operation.
About AECOM
AECOM is a globally recognized leader in infrastructure and environmental services, committed to delivering sustainable solutions that improve the quality of life for communities worldwide. Join us in shaping the future of rail systems through innovation and excellence.
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Search for Senior Kernel Developer Real Time Operating Systems
Huawei Technologies Canada Co., Ltd. is excited to announce a permanent opportunity for a Senior Kernel Developer specializing in Real-Time Operating Systems (RTOS).Team Overview:Join our Intelligent Real-Time Operating System Lab, where we tackle OS architecture, concurrency challenges, and resource management for a variety of applications, including AI and machine learning. Our mission is to pioneer innovative OS designs for mixed-criticality environments, pushing beyond conventional methodologies. We are committed to developing next-generation OS platform support that facilitates exceptional performance, maximizes concurrency, and adeptly manages resources using machine learning and AI technologies. Our aim is to enhance performance and reliability amidst the complexities presented by edge-embedded devices.Position Responsibilities:Engage in research and development of real-time operating systems targeting embedded devices, cloud computing, virtualization, and the automotive sector.Contribute to the advancement of next-generation RTOS technologies to support a wide array of computational platforms.Address complex challenges related to scheduling, resource allocation, isolation, and inter-process communication in intricate system use cases.Develop tools and solutions to overcome performance-related challenges within the system.
Join Huawei Canada as a Senior Principal Architect and lead groundbreaking innovations in window systems and graphics.About the Team:Be part of a dynamic web, windowing, and graphics team dedicated to developing advanced architectures that enhance the rendering capabilities of ArkUI and web platform content. Engage in pioneering research to customize GPU drivers tailored for web rendering needs, streamline Chrome rendering architectures for TBDR GPU targets, and explore concurrent web layout techniques, leveraging the unique vertical integration possibilities offered by Huawei’s HarmonyOS.Job Responsibilities:Deliver expert insights into OS graphics software stacks and evolving hardware trends, focusing on GUI, display, and input technologies.Spearhead the identification of critical technologies and guide the team in researching and implementing proof of concepts (PoCs).Lead collaboration efforts between the Canadian team and the engineering team based in China to ensure seamless production processes.
Join Huawei Canada as a Senior Principal Software Engineer!About Our Team:The Distributed Scheduling and Data Engine Lab, established in 2014, serves as Huawei Cloud's innovation hub in Canada. We specialize in pioneering advanced cloud technologies, facilitating the productization and continuous enhancement of our technical innovations. Our research focuses on diverse areas such as cloud multi-agent systems, cloud-native databases, resource scheduling, middleware solutions, and user experience studies. With a dynamic technical environment, we collaborate with industry leaders to build a highly competitive cloud platform.Your Role:Lead the design and deployment of comprehensive multi-agent evaluation systems on cloud platforms, implementing agent coordination strategies including reinforcement learning and hierarchical planning.Design, develop, and scale next-generation AI multi-agent systems for enhanced collaboration and autonomous execution.Stay at the forefront of AI agent research trends, integrating novel models and orchestration techniques to expand our technical capabilities.Work collaboratively with a global team of AI researchers to embed advanced AI functionalities into existing frameworks.Conduct in-depth analysis and implementation of GenAI solutions, focusing on Agentic Orchestration and Agent Builder frameworks.Engage in technical research and development activities, contributing to project deliveries.This role may require overseas travel.
Huawei Canada is seeking a talented Senior GPU Driver Developer for an immediate 12-month contract opportunity.About Our Team:Our Software-Hardware System Optimization Lab is dedicated to enhancing the power efficiency and performance of smartphone products through innovative software-hardware systems optimization and architectural advancements. We continuously monitor the latest trends in cutting-edge technologies to bolster our competitive edge in mobile AI, graphics, multimedia, and software architecture for mobile devices.Job Responsibilities:Develop and maintain GPU drivers across Linux and other platforms.Design, implement, and optimize features and functionalities of GPU drivers.Collaborate with cross-functional teams to seamlessly integrate GPU drivers into existing systems.Diagnose and troubleshoot GPU driver-related issues effectively.Conduct thorough code reviews to ensure adherence to high coding standards.Keep abreast of the latest trends and technologies in GPU drivers.
Huawei Canada is excited to announce a permanent opening for a Senior Software Developer specializing in Big Data.Team Overview:The Computing Data Application Acceleration Lab is dedicated to building a world-class data analytics platform, divided into three specialized units that leverage cutting-edge programming technologies. Our focus lies in full-stack innovations, which include software-hardware co-design and optimizing data efficiency across storage and runtime environments. Additionally, our team is at the forefront of developing next-generation GPU architectures that cater to gaming, cloud rendering, VR/AR, and Metaverse applications.This lab aims to significantly boost algorithm performance and training efficiency across various industries, ensuring sustained competitiveness in the market.Role Overview:Evaluate software requirements and elements necessary for system design.Contribute actively to software development at both product and platform levels.Lead the design and coding of specific cross-subsystem components or key algorithms.Engage in open-source and standard meetings to present innovative solutions.Mentor and guide a team of software developers.Develop intellectual property, including patents and trade secrets, based on research outcomes.Publish research findings in respected scientific journals and conferences.Share research outcomes at conferences and collaborate with external research institutions and universities.
Join Huawei Canada as a Senior Vice President of Technical Operations.About Our Team:The Computing Data Application Acceleration Lab is dedicated to developing a premier global data analytics platform, structured into three specialized teams leveraging cutting-edge programming technologies. This lab focuses on full-stack innovations, including the co-design of software and hardware, and the optimization of data efficiency at both storage and runtime levels. Our team is also pioneering the next generation of GPU architectures tailored for gaming, cloud rendering, VR/AR, and Metaverse applications.Our objective is to enhance algorithm performance and training efficiency across various sectors, securing a sustainable competitive edge for the future.Role Overview:Lead comprehensive analyses of technological advancements in AI, spearheading the strategic planning and development of the technology roadmap in AI computing to ensure top-tier product performance and commercial viability for future AI inference and training applications.Possess a profound understanding of chip and system architecture, implementing system-wide innovations through the co-design of hardware, software, and algorithms. Establish the foundational technical framework for AI computing systems, delivering industry-leading AI solutions.
Join our dynamic team at AECOM as a Geographic Information Systems (GIS) Specialist. In this role, you will leverage your GIS expertise to support various projects, enhancing our data visualization and analysis capabilities. Your contributions will be critical in shaping the infrastructure and environment of communities.
Join AECOM as a Systems Engineering Manager specializing in Rail & Transit projects. In this pivotal role, you will lead a talented team of engineers, overseeing the design, development, and implementation of innovative transportation solutions. Your expertise will drive project success, ensuring adherence to quality standards and compliance with industry regulations. You will collaborate closely with cross-functional teams to deliver complex projects on time and within budget while fostering a culture of continuous improvement and innovation.
Join Huawei Canada as an AI Systems Engineer specializing in Serverless Distributed Computing.About Our Team: The Distributed Data Storage and Management Lab is at the forefront of research in distributed data systems. We are dedicated to creating next-generation cloud serverless products that integrate essential infrastructure and databases. Our research tackles complex data challenges such as cloud-native disaggregated databases, innovative pay-by-query user models, and enhancing low-level data transfers using RDMA. Our teams are instrumental in developing advanced cloud serverless data infrastructures and implementing state-of-the-art networking technologies for Huawei's global AI ecosystem.Your Role:Design and implement frameworks and engines for cutting-edge serverless computing optimized for AI workloads, including LLM training/inference and reinforcement learning.Evaluate and enhance the performance of end-to-end AI systems by focusing on distributed scheduling, data flow, and memory utilization across extensive clusters.Conduct research and assess breakthrough technologies in distributed computing, serverless infrastructure, reinforcement learning, and LLM-driven AI agents.Engage collaboratively with research, product, and platform teams to evolve conceptual AI agent or RL research into scalable production systems.Provide thought leadership through innovation, technical presentations, and patent contributions.Stay informed on industry trends by assessing emerging tools and frameworks (e.g., Ray, SkyPilot, vLLM, DeepSpeed, Mojo, etc.) to guide the team.The total target annual compensation for this position ranges from $127,000 to $225,000 based on education, experience, and demonstrated expertise.
Huawei Canada is excited to announce a permanent opportunity for a Senior Principal Researcher!About Our Team:At the Human-Machine Interaction Lab, we bring together top global talent to revolutionize the interaction between humanity and technology. Our focus on innovation and user-centric design strives to elevate human-computer interaction research. Our multidisciplinary team of researchers, engineers, and designers collaborates to create groundbreaking interactive systems, sensing technologies, wearable devices, IoT systems, and multimodal interfaces. We are committed to delivering impactful products and pioneering research aimed at enhancing user experiences with technology.Position Overview:Lead the development and execution of a comprehensive vision for next-generation AI agent-focused multimodal interaction systems, defining agent capabilities in perception, reasoning, and action through diverse signals (voice, vision, touch, context).Craft interaction models that prioritize agent autonomy and collaboration, shifting away from traditional GUI/VUI to intent-driven, context-aware interactions.Oversee the design of cohesive multimodal experiences across various platforms (mobile, automotive, wearables, smart environments), ensuring consistency and adaptability.Direct the integration of advanced multimodal foundation models (such as VLM and multimodal LLMs) into practical interaction systems.Rapidly iterate from concept to deployable solutions, assessing usability, latency, feedback loops, and real-world performance prior to launch.Identify and capitalize on opportunities to unify interaction frameworks across modalities, minimizing fragmentation among voice, visual, and physical interfaces.Drive holistic experience design, encompassing perception, reasoning, response, and user feedback rather than focusing solely on isolated component enhancements.Remain knowledgeable about emerging industry trends (e.g., AI agents, multimodal interfaces) and integrate them into our research and development processes.
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AECOM is seeking a dedicated RAMS Engineer to join our team, focusing on enhancing operational safety within rail systems. In this role, you will apply your expertise to identify and mitigate risks, ensuring compliance with safety regulations while contributing to innovative solutions in rail operation.
Join Huawei Canada as a Senior Researcher in our Emerging Storage Lab!About Our Team:Our Emerging Storage Lab, located at Huawei Canada's Toronto and Vancouver Research Centres, is dedicated to pioneering next-generation storage technologies. Our diverse team of skilled computer engineers and scientists, with experience ranging from recent graduates to industry veterans with over 20 years of expertise, is at the forefront of innovation. We explore various aspects of storage technology including data management, data cataloging, file systems, storage networks, and AI storage, seeking to propel advancements in the AI-driven data storage landscape.Job Responsibilities:Conduct applied research to design and prototype cutting-edge AI data engines and storage architectures tailored for optimizing large-scale AI training and inference workloads.Architect and implement robust software components across data, metadata, and AI pipeline layers, ensuring data lineage, versioning, and automated lifecycle management for AI assets.Develop and refine the data plane for AI infrastructures, addressing critical challenges like distributed dataset shuffling, rapid checkpointing, model loading and offloading, KV Cache operations, and low-latency metadata serving for billion-scale datasets.Create high-performance system software that seamlessly integrates AI storage, AI data, and orchestration frameworks, eliminating bottlenecks within the machine learning pipeline.Enhance the end-to-end data path from persistent storage to GPU memory by leveraging knowledge of hardware, networking, and AI workload specifications.Contribute to the academic community by publishing research at leading conferences.Collaborate with global AI research and engineering teams to bring innovations to production and shape the strategic roadmap for AI infrastructure.
Huawei Canada is seeking a dynamic and experienced Vice President of Technical Research.About Our Team:The Computing Data Application Acceleration Lab at Huawei Canada is dedicated to pioneering a world-class data analytics platform through three specialized teams that leverage advanced programming technologies. Our team is committed to full-stack innovations, emphasizing software-hardware co-design and optimizing data efficiency at both storage and runtime layers. We are also at the forefront of developing next-generation GPU architectures tailored for gaming, cloud rendering, VR/AR, and Metaverse applications.Our lab's mission is to enhance algorithm performance and training efficiency across various industries, ensuring sustained competitiveness in the market.Position Overview:Conduct comprehensive analysis and insights into cutting-edge bus architectures and technologies, formulating long-term technology strategies and roadmaps while spearheading technical decision-making.Develop competitive bus architectures and interconnection protocols for AI and general computing scenarios in alignment with industry standards. Propel the continuous advancement of bus technology to maintain a leading edge in large-scale computing cluster solutions.Possess a deep understanding of chip architecture and software frameworks. Implement innovative system-level solutions centered on bus architecture and protocols, fostering co-innovation across chip design, hardware/software integration, and solution development to drive business success.
Join Huawei Canada as a Senior Principal Compiler Engineer in our dynamic team focused on cutting-edge compiler technology.About Our Team:The Heterogeneous Compiler Lab is at the forefront of innovative research in compiler technology, led by a team of distinguished experts. With a strong presence in the LLVM Compiler Infrastructure project, we are pioneers in developing diverse IP compiler strategies that enhance AI, GPU, and CPU architectures. Our mission includes advancing heterogeneous compilation technology and SW-HW co-design to optimize performance for AI, graphics, gaming, and mobile applications, actively engaging with the open-source community to overcome technical challenges.Job Responsibilities:Design, develop, and rigorously test software that meets business requirements across a variety of products.Conduct performance analysis and optimization of software systems, contributing to software/hardware co-design initiatives.Collaborate with internal and external stakeholders to define project requirements and formulate development plans for software productization.Lead scrums, project reviews, and planning sessions, fostering a collaborative team environment.Mentor junior developers through educational sessions, code reviews, and career development initiatives.Research and analyze industry trends, proposing innovative technical directions for the team.
Join Huawei Canada as a Senior Software Engineer.The Web Technology Lab is at the forefront of developing innovative architectures to enhance the rendering capabilities of ArkUI and web content. Our research focuses on customizing GPU drivers for optimal web rendering, refining the Chrome rendering architecture for TBDR GPU targets, creating a concurrent web layout, and utilizing vertical integration opportunities to maximize performance and user experience.Your Role:Provide expertise on current web engine technology and its evolution.Engage in the design and development of the next-generation web engine, including the formulation of relevant standards.Contribute to the comprehensive design and implementation of a web engine that innovatively achieves top industry performance and resource efficiency.The anticipated total annual compensation for this role ranges from $127,000 to $225,000, based on your education, experience, and demonstrated skills.
Huawei Canada is actively seeking a Senior Researcher to join our innovative team.Team Overview:Our Computing Data Application Acceleration Lab is dedicated to establishing a premier global data analytics platform, segmented into three specialized teams leveraging cutting-edge programming technologies. This particular team is committed to full-stack innovations, focusing on software-hardware co-design and optimizing data efficiency across both storage and runtime levels. Furthermore, we are pioneering next-generation GPU architectures for applications in gaming, cloud rendering, VR/AR, and the Metaverse.Our lab's mission is to enhance algorithm performance and training efficiency across various industries, ensuring sustained competitiveness.Role Description:Collaborate with both internal and external teams to spearhead the design of foundational model architectures across LLM, code, and multimodal subfields, achieving breakthroughs in post-training and continual training. Your goal will be to develop a foundational model that excels in performance and hardware efficiency, making a significant impact in the industry.Define the technical specifications necessary for large-scale distributed training and inference infrastructures, including parallelization and operator fusion. Analyze the computational characteristics of standard architectures to ensure the accuracy and advancement of AI hardware and infrastructure evolution.
Join our dynamic team as an OpenStack Developer where you will play a critical role in the development and implementation of cloud-based solutions. In this position, you will collaborate with cross-functional teams to design, develop, and maintain OpenStack infrastructure, ensuring robust performance and security.Your expertise will contribute to the enhancement of our cloud services, focusing on automation and efficiency. If you are passionate about cloud technologies and eager to drive innovation, this is the perfect opportunity for you!
Join Huawei Canada as a Senior Compiler Engineer and play a pivotal role in advancing innovative technologies.About Our Team:Our Heterogeneous Compiler Lab is at the forefront of compiler research and development. Led by a team of distinguished experts, we are well-known for our contributions to the LLVM Compiler Infrastructure project. Our focus is on creating diverse compiler collaborations that enhance AI, GPU, and CPU architectures, tackling complex challenges in heterogeneous compilation and software-hardware co-design across various applications including AI, graphics, gaming, and mobile technology.Key Responsibilities:Engineer, develop, and rigorously test software solutions to meet diverse business needs across a broad product range.Evaluate and enhance software system performance while contributing to software and hardware co-design initiatives.Collaborate with both internal and external stakeholders to gather project requirements and establish development plans for software productization.Lead scrums, project planning sessions, and engage in team-building activities.Guide junior developers through mentoring sessions, code reviews, and career advancement discussions.Investigate industry trends and propose innovative technical directions for the team.The total target annual compensation for this role ranges from $127,000 to $225,000, contingent on education, experience, and proven expertise.
Join our dedicated team at Spectrum Healthcare as a Full-Time Evening Receptionist! In this role, you will be the first point of contact for our clients, providing exceptional service and ensuring a welcoming atmosphere. Your responsibilities will include answering phone calls, greeting visitors, scheduling appointments, and handling administrative tasks. We are looking for someone with excellent communication skills and a friendly demeanor.
Apr 10, 2026
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