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Experience Level
Manager
Qualifications
The ideal candidate should possess a strong background in electrical systems engineering, preferably within the aviation industry. A Bachelor's degree in Electrical Engineering or a related field is required. Proven experience in project management and team leadership is essential, along with excellent communication and problem-solving skills.
About the job
Segula Technologies seeks a Manager of Electrical Systems Engineering to join its aviation group in Toronto. This leadership position directs projects centered on the design and delivery of advanced electrical systems for aviation.
Key responsibilities
Manage electrical systems engineering projects from initial concept through final implementation
Guide and mentor engineering teams focused on aviation solutions
Collaborate with professionals from other disciplines to achieve project objectives
Contribute to the development and integration of new electrical technologies in aviation systems
Cross-functional teamwork
This role works closely with cross-functional teams, ensuring the effective design and deployment of electrical systems within aviation projects.
About Segula Technologies
Segula Technologies is a global engineering company specializing in the development of advanced solutions across various sectors, including automotive, aerospace, and industrial. Our commitment to innovation and quality makes us a leader in engineering services. Join us to be part of a dynamic team that drives change and innovation in technology.
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Join Opendoor Technologies Inc. as a Software Engineer focusing on Financial Systems, where you will play a pivotal role in enhancing our technology solutions to streamline financial processes. You will collaborate with cross-functional teams to develop and implement innovative software solutions that cater to our financial operations.
Join Lyft as a Business Systems Engineer specializing in Oracle solutions. In this role, you will be pivotal in enhancing our business systems, ensuring they align with our strategic goals. You will collaborate with cross-functional teams to develop, implement, and optimize Oracle applications, driving efficiency and innovation within our operations.
Embedded Systems EngineerPreferred Location: TorontoReports to: Chief Operating Officer (COO)Type: Full-TimeAbout Dominion DynamicsDominion Dynamics is pioneering Canada’s first modern defense contractor: a software-defined, attritable, and sovereign entity. We believe that the future of military power will not depend solely on advanced platforms, but rather on the seamless integration of adaptable, AI-driven capabilities across all domains. Our mission is to create a family of systems that are fielded with operators, designed with sovereignty in mind, and committed to upholding Canada’s democratic values.We operate with agility, collaborating closely with the Canadian Armed Forces, especially in the Arctic, all while adhering to Canadian laws and treaty obligations with deep respect for the CAF community.Our founding team comprises former operators from Anduril, Google, Amazon, and the Canadian Armed Forces. We are creating advanced technology in challenging environments and seek system-level thinkers who excel at the intersection of autonomy, aerospace, and national security.Why This Role MattersReal-world missions require embedded systems capable of functioning in constrained communications, harsh conditions, and rapid development cycles. The reliability you deliver will minimize time, risk, and costs associated with deployment. This role is pivotal in supporting critical firmware, communications, and diagnostics to ensure that Dominion Dynamics systems remain operational and maintainable in the field.The Role: Embedded Systems EngineerAs an Embedded Systems Engineer, you will be part of an engineering team dedicated to integrating state-of-the-art hardware platforms with secure, resilient software systems designed for extreme field environments. Your contributions will facilitate real-time interoperability between uncrewed systems, edge nodes, sensors, and command interfaces. You will play a vital role in ensuring reliable communication and functionality of distributed software and hardware components in the Arctic, while addressing both defense and civilian dual-use requirements.What You’ll DoDesign and develop integration layers that connect hardware, sensors, and communication systems.Implement and manage messaging and control protocols in accordance with DDS and JAUS standards.Create and maintain plugins and interface modules for the Android Team Awareness Kit (ATAK).Integrate robotic and sensing platforms utilizing ROS 2 and sensor fusion middleware.Collaborate with software and hardware teams to ensure seamless system integration and performance.
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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.
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Apr 8, 2026
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