9 Solution Architecture jobs in Canada

Job Description

We are seeking a Senior Software Design Engineer with deep expertise in real-time media systems, audio/video compression, and high-performance software development. You will play a critical role in building scalable, low-latency encoding pipelines that operate across cloud, edge, and bare-metal environments. This position involves working with advanced codecs, open-source frameworks, and IP-based broadcast standards.
As part of your role, you will help translate the product vision and system requirements into concrete software development projects, driving end-to-end technical execution.

Responsibilities:

• Develop and optimize software for real-time video and audio compression (e.g., H.264, HEVC, AV1, JPEG XS, VVC, AAC, AC-3, NDI).
• Translate product vision and system requirements into concrete, software deliverables.
• Work with media frameworks such as FFmpeg and GStreamer for both audio and video pipelines.
• Implement CPU and GPU-based acceleration paths (e.g., SIMD, CUDA, NVENC, NVDEC ) for low-latency media processing.
• Architect modular, scalable components for deployment in cloud native and bare metal environments.
• Profile and tune software for throughput, latency, and system resource efficiency across varied hardware targets.
• Develop and support IP-based live media systems using standards like SMPTE ST 2110, NMOS, and PTP.
• Work with real-time transport protocols like RTP, UDP, MPEG-TS, SRT, RIST.
• Maintain clean, testable C/C++ code with attention to reliability, performance, and maintainability.
• Conduct design and code reviews; contribute to internal standards and software architecture practices, share technical knowledge and mentor junior team members.
• Collaborate with QC, and product teams on validation, CI/CD, monitoring, and deployment of live systems.

• 7+ years of hands-on C/C++ development in high-performance or real-time systems.
• Strong understanding of video and audio compression standards and formats.
• Experience with media frameworks such as FFmpeg or GStreamer in production systems.
• Solid understanding of Linux systems programming, including memory management, file I/O, scheduling, and process control.
• Familiarity with inter process communication (IPC) mechanisms: shared memory, sockets, pipes, message queues.
• Experience with multithreaded and parallel programming techniques.
• Working knowledge of GPU or SIMD-based performance optimizations.
• Proficiency in scripting languages such as Python, Bash, or Shell for automation and build tooling.
• Understanding of network transport protocols (TCP, UDP, RTP)

• IP‑based broadcast standards: SMPTE ST 2110, NMOS IS‑04/IS‑05, PTP / IEEE 1588.
• Low‑latency A/V synchronization in live production.
• Hardware codec APIs: NVIDIA Video Codec SDK, Intel oneVPL, AMD AMF.
• Adaptive bitrate streaming (HLS, MPEG‑DASH) and multi‑profile encoding.
• Debugging tools: ffprobe, gst-launch, tcpdump, Wireshark
• OpenCV for image/video processing or computer vision preprocessing.
• Vulkan API experience for high throughput GPU compute or future codec acceleration.
• Contributions to open source media, vision, or systems libraries.

What we offer:

• Employer funded benefits program
• Competitive total compensation package
• Work-life balance
• Employee Assistance plan
• Employee Discount Platform
• Career progression
• Casual work environment
• Social events and sports teams

About Us:

Evertz Microsystems (TSX:ET) is a leading global manufacturer of broadcast equipment and solutions that deliver content to television sets, on-demand services, WebTV, IPTV, and mobile devices (like phones and tablets). Evertz has expertise in delivering complete end-to-end broadcast solutions for all aspects of broadcast production including content creation, content distribution and content delivery.

Considered as an innovator by their customers, Evertz delivers cutting edge solutions that are unmatched in the industry in both hardware and software. Evertz delivers products and solutions that can be found in major broadcast facilities on every continent. Evertz’ customer base also includes telcos, satellite, cable TV, and IPTV providers.

With over 2,000 employees, that include hardware and software engineers, Evertz is one of the leaders in the broadcast industry. Evertz has a global presence with offices located in: Canada, United States, United Kingdom, Germany, United Arab Emirates, India, Hong Kong, China, Singapore, and Australia. Evertz was named one of Canada’s 50 Best Managed Companies, which recognizes excellence in Canadian-owned and Canadian-managed companies. Canada’s 50 Best Managed Companies identifies Canadian corporate success through companies focused on their core vision, creating stakeholder value and excelling in the global economy.

Evertz makes certain there is an equal employment opportunity for all employees and applicants for employment, including persons with disabilities. In compliance with AODA, Evertz will strive to provide accommodation to persons with disabilities in the recruitment process upon request. If you are selected for an interview and you require accommodation due to a disability during the recruitment process, please notify Human Resources upon scheduling your interview.

Thank you for considering a career with Evertz!
 

Please note, this email address will only respond to requests regarding privacy concerns. This inbox will not respond to job applications, resumes, or questions regarding an application. When you apply to a job on this site, the personal data contained in your application will be collected by Evertz Microsystems Ltd (“Controller”), which is located at 5292 John Lucas Drive, Burlington, Ontario, Canada and can be contacted by emailing Controller’s data protection officer is Nadiera Toolsieram, who can be contacted at Your personal data will be processed for the purposes of managing Controller’s and its' subsidiaries' and affiliates' recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of Regulation (EU) 2016/679 (General Data Protection Regulation) as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment.

A complete privacy policy can be found at

Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Under the GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have to right to data portability. In addition, you may lodge a complaint with an EU supervisory authority.

Powered by JazzHR

EmmkUCe2js

Job Description

Durée du contrat prévue de 3 à 5 ans.
Date d'entrée en fonction prévue entre Q1 et Q3 2025.
Rôle hybride.

Les heures de travail sont normalement comprises entre 8 h et 17 h, du lundi au vendredi (35h par semaine), mais peuvent être étendues lors de certains projets.

1. Comprendre les exigences d’affaires et mettre en valeur les exigences d’architecture et de sécurité,

2. Produire des schémas d’architecture logicielle générale et détaillée incluant le volet intégration,

3. Produire des architectures générales et détaillées d’infrastructures technologiques pour divers modes de déploiements (sur site, infonuagique ou hybride),

4. Collaborer à l’évaluation des solutions proposer des scénarios de solutions, identifier les risques, les bénéfices et les ROI (avantprojet),

5. Planifier, concevoir et coordonner l’élaboration, l’installation, l’intégration et l’exploitation des systèmes assistés par ordinateur y compris des applications mobiles,

6. Participer à la catégorisation des systèmes d’information,

7. Élaborer une stratégie de transition à la sortie et l’intégration de données aux systèmes cibles.

8. Élaborer des procédures d’entretien pour les systèmes d’exploitation, les environnements de communication et les logiciels d’application.

• Minimum de 15 ans d’expérience professionnelle dans les technologies de l’information, dont 10 ans dans un rôle avec des responsabilités similaires.
• Expert de l'Environnement Microsoft ou Linux Azure
• Détenir un diplôme universitaire de premier cycle (BAC) en technologie de l’information ou en administration des affaires ou son équivalent.
• Français (écrit et parlé) de niveau professionnel.
• Capacité de passer une évaluation des antécédents judiciaires.
• Capacité de se déplacer dans la région de la ville de Québec.

Job Description

Company Description

Position based in Auburn Hills, Michigan (U.S.) / Eligibility to TN Visa required; must be a Canadian citizen (mandatory)

Accelerate your career with a fast-growing global engineering group. At SEGULA Technologies, you'll work on exciting projects and help shape the future in a company where innovation goes hand in hand with engineering.

3D printing, augmented reality, autonomous vehicles, the factory of the future. these are the daily rhythms of our 15,000 ingenious employees, so why not yours?Whether next door or on the other side of the world, at SEGULA Technologies you'll find the opportunity that will give new meaning to your career!

The Battery Management System (BMS) Software Design Release Engineer is responsible for developing advanced automotive battery packs from initial design concept through full volume production. The Engineer is responsible for the release and system integration of the BMS Software on xHEV vehicle architectures.

• Work with the cross-functional requirements team to decompose program BMS software requirements that satisfy vehicle level functional objectives
• Cross-functional coordination of SW planning, requirements decomposition, integration and validation efforts with internal and external stakeholders in order to meet critical program milestones 
• Lead coordination of BMS SW CDR reviews internally and with the supplier.
• Provide program deliverables on time per major development milestones.
• Lead PDT meetings with suppliers and internal stakeholders to manage, track and resolve critical issues. Coordinate BMS change management (CCD, CN, IAA, PER).

• BSME, BSEE, BSCE - Minimum 1 year experience
• Understanding of Energy Storage Systems and Vehicle Electrification
• Good Analytical and Problem Solving Skills - Familiar electrification architectures including EV, HEV, PHEV and BSG systems
• Highly Motivated with Self Motivation
• DVP&R and DFMEA Basic Understanding
• Demonstrated Ability to Work in a Team Environment

SEGULA TECHNOLOGIES is a company committed to diversity, and we recognize and recruit all kinds of talent.

This job is located in Auburn Hills, MI. Candidate needs to be eligible to work with TN Visa .

Huawei Canada has an immediate permanent opening for a Principal Scientist.

About the team:

The Computing Data Application Acceleration Lab aims to create a leading global data analytics platform organized into three specialized teams using innovative programming technologies. This team focuses on full-stack innovations, including software-hardware co-design and optimizing data efficiency at both the storage and runtime layers. This team also develops next-generation GPU architecture for gaming, cloud rendering, VR/AR, and Metaverse applications.

One of the goals of this lab are to enhance algorithm performance and training efficiency across industries, fostering long-term competitiveness.

About the job:

• Build an accurate and universal AI performance model based on mainstream AI acceleration technologies to support theoretical analysis.

• Track the emerging hardware designs in the industry, conduct in-depth insight and survey analysis, and identify the direction of key cutting-edge technologies.

• Cooperate with our AI research team to identify key performance bottlenecks in future AI workloads, and define key algo-hw codesign features of our next-generation chips, for the objectives of low cost, high throughput, great scalability, and stability.

• Performance modelling of representative AI workloads with state of the art training & inference algorithms on different hardware specs for quantitative analysis of compute, memory, IO and interconnect.

• Lead our team for acceleration algorithm breakthrough in best tradeoff between model quality and compute efficiency.

• Track the emerging algorithm-hardware codesign technologies in the industry, conduct in-depth insight and survey analysis, and deeply understand main directions and trends of cutting-edge algorithm-hardware codesign technologies.

Job Description

Role

• Evaluate new technology frameworks, tools, and infrastructure via POCs and technical research
• Apply best of breed technology to solve mission critical business problems
• Provide architectural leadership across core products within the business unit and beyond
• Serve as a mentor to other architects and developers in order promote the architecture profile and expand the organization’s knowledge organically
• Promote the vision of the Chief Technology Officer. Determine multiple paths forward presenting pros and cons and do what is necessary to knock down barriers and obstacles to the vision and strategy
  

Basic Skills For Consideration

• Apache Kafka – Candidate should have a minimum of 2 years of Apache Kafka experience and a proven track record of applying it to complex enterprise systems. This position requires a practical hands on knowledge of the physical infrastructure, configurations as they pertain to topics and partitions, and high confidence relative to consumer design.
• Java Programming Skills – Candidate should have a mastery of the Java programming language and a proven track record of applying it to complex enterprise systems.
• RESTful Service Development – Candidate should have extensive experience designing, developing, and testing API via automation frameworks.
• Analytical Skills – Candidate should be able to quickly translate business requirements into multiple technical design options allowing stakeholders to weigh pros and cons.
• Communication Skills – Candidate must be able to convey their ideas to others via PowerPoint, Excel, etc. They must also be comfortable speaking in front of large teams, incorporating their ideas, and building consensus.
  

Preferred Skills, Experience, And Education

• Object Store Experience – Experience working with object stores such as Mongo, Redis is a major plus.
• Spring Framework – Experience using the Spring framework and ecosystem is a major plus.
• Containerization – Experience utilizing Docker, Kubernetes, Pivotal, etc. is a major plus.
• Agile – It is preferred that the candidate have experience working in an agile environment. The ability to think incrementally and releasing software in an evolving manner is a very important skill.
• Experience in SDLC including associated deployment methodologies, QA processes, and performance tuning efforts.
• 8+ years of relevant work experience delivering enterprise customer facing solutions.
• 6+ years of indirect or direct technical leadership.
• Experience effectively managing multiple technology projects simultaneously.
• Capable of exercising extreme discretion and independent judgment.
  

Huawei Canada has an immediate permanent opening for a Technical VP.

About the team:

The Computing Data Application Acceleration Lab aims to create a leading global data analytics platform organized into three specialized teams using innovative programming technologies. This team focuses on full-stack innovations, including software-hardware co-design and optimizing data efficiency at both the storage and runtime layers. This team also develops next-generation GPU architecture for gaming, cloud rendering, VR/AR, and Metaverse applications.

One of the goals of this lab are to enhance algorithm performance and training efficiency across industries, fostering long-term competitiveness.

About the job:

• Conduct in-depth analysis of physical AI, 3DGS, unmanned driving, and embodied AI application and technological trends, thoroughly analyzing key requirements for GPU computing architecture. Plan the environmental simulation and rendering platform based on self-developed GPU architecture, and provide development, training, and simulation capabilities for emerging applications.

• Conduct in-depth analysis of GPU cluster system. Define hardware architecture, system framework, and software architecture. Implement large-scale cluster intelligent solutions. Support the development and simulation of emerging applications such as physical AI, 3DGS, unmanned driving, embodied AI, and cloud rendering, and ensure the industry-leading capability in environmental simulation and rendering.

• Continuously drive technological competitive edge in space intelligence and propel the development of self-developed GPU technology ecosystem.