Mechanical Engineer jobs in Canada
Ebay MTS Software Engineer Data Platform Canada, Ontario, Toronto
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This role is focused on Data Platform Engineering — not data engineering. While familiarity with Spark, Flink, and other tools in the Hadoop ecosystem is valuable, your primary responsibility will be building and evolving the platform itself, not just authoring data pipelines.
What you’ll do and learnOwn and deliver major components of eBay’s Data Platforms — from design through production rollout.
Design and evolve distributed systems powering ingestion, streaming, lakehouse/warehouse, catalog, and governance.
Contribute to long-term architecture through design reviews and authoring architecture design documents, ensuring scalability and resilience.
Build systems that balance latency, correctness, and cost while ensuring security and compliance.
Drive operational excellence for services you own, including observability and incident response.
Collaborate across product, infra, and analytics teams to align execution with business needs.
Learn and grow in areas like governance, orchestration, and privacy engineering.
Experience designing large-scale distributed systems (compute, storage, APIs, streaming).
Ability to independently deliver complex projects from requirements to production.
Systems thinker who anticipates bottlenecks, schema evolution, and reliability issues.
Strong communication skills to influence cross-team technical outcomes.
Growth mindset with curiosity to learn new technologies.
Impact at scale: powering global analytics and ML systems.
Challenging problems: streaming, freshness/correctness, and multi-cloud resiliency.
Collaborative culture that values inclusion and knowledge sharing.
Support & growth: flexibility, benefits, and career development resources.
Focus on reliability and sustainable on-call practices.
8+ years of distributed systems or data platform experience.
Proven ability to design and deliver critical systems with impact.
Proficiency in Java/Python, CI/CD, and containerized environments.
Hands-on expertise in tools like Kafka/Flink, Spark, Delta/Iceberg, Kubernetes, NoSQL/columnar stores.
Experience in streaming and batch data platforms.
Strong foundation in algorithms and distributed design.
BS/MS in CS or equivalent experience.
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Dell Mechanical Developer - 5G Radio Units Canada, Ontario, Ottawa
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What you’ll achieve
, you will contribute to the design, implementation, and validation of mechanical solutions for ruggedized outdoor radio units.
You willspan multiple phases of product development in your work:
- Design & Architecture -- Develop and maintain mechanical components for complete RU designs as part of a collaborative team. | Design machined and die-cast enclosures with input for thermal management. | Support design of ancillary items such as test fixtures, mounts, and cable assemblies. | Assist in selecting critical components (connectors, thermal transfer materials, EMI shielding, sealing hardware)
- Implementation -- Provide mechanical requirements for ECAD-MCAD collaboration using EMN file transfer. | Create mechanical designs using CREO , Windchill , and perform simulations in Ansys . | Work closely with manufacturing teams to troubleshoot assembly issues. | Support NPI development with hands-on mechanical assembly and debug
- Validation & Testing -- Perform thermal simulations and validate designs through empirical testing. | Conduct shock and vibration simulations and physical tests.
- Collaboration -- Partner with system, hardware, and software teams to ensure seamless integration. | Maintain strong vendor relationships and contribute to component selection decisions.
Essential Requirements
- 1–2 years of mechanical design experience (CREO and Windchill preferred).
- Experience with thermal or structural simulation.
- Hands-on experience designing machined and sheet metal parts.
- General understanding of rugged, outdoor, environmentally sealed product design.
Desirable Skills
- 3+ years of relevant experience (or equivalent education/experience).
- Thermal simulation experience with Ansys Icepak (natural convection and conduction). | Mechanical design experience in RF or telecom products. | ECAD-MCAD collaboration with PCB layout tools (e.g., Cadence). | Experience in product testing and fixture design (thermal, mechanical load). | Familiarity with manufacturing methods: sheet metal, machining, die casting, injection molding. | Knowledge of industry standards (NEBS, ETSI, IEC, MIL-STD-810). | PLM experience (Agile) and understanding of configuration management.
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Ebay MTS Software Engineer Canada, Ontario, Toronto
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Job Title: MTS 1, Software Engineer
Start Date: January 19, 2026
days per annum , 5 sick days per annum
highly available
deployment
Identify project technical risks and make recommendations to mitigate
Use deep technical proven experience of company systems and applications, which could cover applications, services, systems, or frameworks
a high level of initiative and attention to detail during daily operations
Collaborate effectively with other engineers, product managers, designers, and QA engineers
Encourage peers with high-quality, hands-on technical contributions
methodology , design, and best practices.
Consistently produce high-quality software with a focus on unit testing, regular code reviews, and continuous integration.
high standards in quality and operational excellence.
Develop comprehensive technical documentation and presentations to clearly communicate architectural decisions and design options. Ensure documentation aligns with project scopes, milestones, and deliverables.
Effectively delegate tasks and responsibilities within the team, considering individual skills and workload
Lead the development of prototypes and proof-of-concept implementations for new technologies or approaches.
Required Experience
The language of work is English.
Bachelor of Engineering degree plus 8 or more years of experience ; or MS in Computer Science plus 6 or more years of hands-on experience in developing highly scalable distributed platforms and services and internet scale web application
Highly experienced in application development in JAVA and Kotlin and its related frameworks such as like Spring, Spring Boot, Hibernate, Stream processing platforms such as Kafka and Flink ;
in Oracle ADF 12c Framework, JavaScript , HTML and
in J2EE, SOAP, SOA Services, Design Patterns, OOA/D, Data Structures, XML, REST, JSON, and Internet Protocols ;
in a programming language such as Scala, solid base in data structures, algorithms and a strong understanding of multithreading, synchronization, concurrent programming; deep architectural understanding of system design and lead ing
noSQL data technology such as Mongo , ElasticSearch and related toolset ;
in Spring boot and Hadoop framework ;
in retail and logistics ;
ility to troubleshoot performance bottlenecks in
participating in design and code reviews, coding and unit testing of fault-tolerant applications. Comfortable or have familiarity with all the layers of multi-tier applications to craft complete solutions and maintain products
Solid understanding of computer science fundamentals. Experience in non-functional skills like Security, Load and Performance Tests, Accessibility, Site Speed optimization, Cross-browser /Cross-platform UX Design
Excellent verbal and written communication, leadership, and collaboration skills
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EY AI Data - Senior Engineer Canada, Ontario, Toronto
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The Azure Databricks Data Engineer will be instrumental in building and maintaining an optimized data ecosystem using Azure Databricks. You will be responsible for developing and managing data pipelines, ensuring data quality, and enabling advanced analytics capabilities. Your role will involve close collaboration with data scientists, analysts, and other stakeholders to deliver data-driven solutions that support the strategic goals of EY.
Your Key Responsibilities
As a Data Engineer, you will:
- Design, construct, and maintain scalable data pipelines and ETL/ELT processes across Snowflake and/or Azure Databricks environments.
- Develop data processing workflows using Databricks Notebooks, Spark SQL, and/or Snowflake SQL.
- Optimize data storage and processing performance to support real-time analytics and business intelligence.
- Collaborate with cross-functional teams to gather requirements and translate business needs into technical specifications.
- Build and maintain data models, data marts, and data warehouses to support analytics and reporting.
- Implement data governance, security, and compliance best practices across cloud data platforms.
- Troubleshoot and resolve data processing issues, ensuring high data quality and integrity.
- Provide technical guidance on platform capabilities and mentor junior data engineers.
- Stay current with the latest features and trends in Snowflake, Databricks, and cloud data engineering.
- Develop and maintain documentation related to data pipeline architecture, development processes, and governance.
Skills and Attributes for Success
- Certifications such as Snowflake SnowPro, Azure Data Engineer Associate, or Azure Data Scientist Associate.
- Experience with BI tools like Power BI, Tableau, or Looker.
- Familiarity with machine learning frameworks, data science concepts, and big data tools.
- Experience with version control systems (e.g., Git) and workflow orchestration tools (e.g., Apache Airflow).
- Understanding of DevOps practices, CI/CD pipelines, and data integration techniques.
To Qualify for the Role, You Must Have
- A Bachelor's or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.
- Proven experience as a Data Engineer with hands-on expertise in Snowflake, Databricks, and/or Azure.
- Strong programming skills in Python, Scala, or Java.
- Proficiency in SQL, data modeling, and data warehousing concepts.
- Knowledge of cloud platforms such as Azure, AWS, or GCP, and their integration with Snowflake.
- Experience with Apache Spark and its integration with Databricks.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work collaboratively in a fast-paced, team-oriented environment.
What we offer
We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:
- Support and coaching from some of the most engaging colleagues in the industry
- Learning opportunities to develop new skills and progress your career
- The freedom and flexibility to handle your role in a way that’s right for you
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
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Ebay MTS Android Software Engineer - Toronto Canada, Ontario, Toronto
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What you will accomplish:
Architect the development of Selling features in the Android application with Native Android app development and converting ideas, designs and requirements to concrete stable production builds
Coordinate and collaborate with the Product and Engineering team to identify problems, come up with creative solutions, and help with tracking and delivering within the release plan
Understand and implement Android specific design patterns and experience with Android Studio, Java, Kotlin, Jetpack Compose, Dagger, network debugging (e.g. Charles), revision control systems (e.g. Git) and bug tracking (e.g. Jira)
Develop and iterate within a rather lean, yet very fast-paced Engineering team, develop code and testing methodologies to improve the DevOps "Four Key Metrics"
What you will bring:
Prefer B.S Degree or equivalent experience in Computer Science or equivalence with 8+ years of experience developing Android applications, with deep experience in Kotlin, Jetpack Compose, Hilt/Dagger, & GraphQL
Proven experience in unit testing and functional UI testing with JUnit / Espresso, well versed in SOLID principles and with Android Studio
Experience with modern design patterns such as MVVM, Dependency Injection, etc.
Experience with Agile/Scrum methodologies, working with services teams to develop optimal mobile services contracts
Any additional experience working on large scale applications encompassing dozens of features, patterns for achieving feature modularity, reactive programming using RxJava / RxKotlin and Jetpack Compose are preferred.
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Ebay Senior Software Engineer Fullstack Canada, Ontario, Toronto
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The Impact You Will Make Here
The Senior Software Engineer is responsible for coordinating the design, development, and implementation of software solutions. This role combines technical expertise with leadership skills to guide a team of developers, ensure outstanding deliverables, and drive the successful completion of projects. Candidates must have in-depth software development expertise, proven ability to deliver complex solutions, hands-on experience with Java and GCP, and capability to lead a small engineering team autonomously.
Architect, design, develop and test complex, multi-tier distributed Warehouse Management System software systems
Lead architecture discussions, develop well-documented design docs, and facilitate development and code reviews ensuring alignment with industry standards
Work with product managers, collaborators, and cross-functional teams to build software solutions that fulfill functional and non-functional needs, establish project plans and deliverables
Estimate engineering effort, plan execution cycles, and roll out system changes
Identify and address performance bottlenecks in software systems & ensure systems are secure, scalable, and maintainable
Write Unit and Integration tests and ensure software developed meets high quality standards
Stay updated on emerging technologies and integrate them into development processes whenever applicable
Function as a team leader utilizing communication, leadership, and problem-solving skills
What You Bring to the Team
Bachelor’s degree in Computer Science or related field plus 8+ years of experience or Master’s degree in Computer Science or related field plus 7+ years of hands-on experience in building large-scale distributed systems
Strong expertise in front-end technologies such as HTML, CSS, JavaScript, and React
Strong expertise in designing and developing REST API
Extensive hands-on experience and expertise in object-oriented design methodology and application development using Java/J2EE and Kotlin, including frameworks such as Spring Boot
Hands-on experience with Google Cloud Platform (GCP), particularly in Google Cloud Run and deployment pipelines
Deep understanding of SQL Databases, with an emphasis on Postgres. Familiarity with tuning systems, architecture, thread management, and problem analysis
Expertise with Terraform deployments
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Nvidia Senior Software Engineer AI Inference Systems Canada, Ontario, Old Toronto
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- Canada, Toronto
- time type
- Full time
- posted on
- Posted 3 Days Ago
- job requisition id
What you’ll be doing:
Contribute features to vLLM that empower the newest models with the latest NVIDIA GPU hardware features; profile and optimize the inference framework (vLLM) with methods like speculative decoding,data/tensor/expert/pipeline-parallelism,prefill-decode disaggregation.
Develop, optimize, and benchmark GPU kernels (hand-tuned and compiler-generated) using techniques such as fusion, autotuning, and memory/layout optimization; build and extend high-level DSLs and compiler infrastructure to boost kernel developer productivity while approaching peak hardware utilization.
Define and build inference benchmarking methodologies and tools; contribute both new benchmark and NVIDIA’s submissions to the industry-leading MLPerf Inference benchmarking suite.
Architect the scheduling and orchestration of containerized large-scale inference deployments on GPU clusters across clouds.
Conduct and publish original research that pushes the pareto frontier for the field of ML Systems; survey recent publications and find a way to integrate research ideas and prototypes into NVIDIA’s software products.
What we need to see:
Bachelor’s degree (or equivalent expeience) in Computer Science (CS), Computer Engineering (CE) or Software Engineering (SE) with 7+ years of experience; alternatively, Master’s degree in CS/CE/SE with 5+ years of experience; or PhD degree with the thesis and top-tier publications in ML Systems, GPU architecture, or high-performance computing.
Strong programming skills in Python and C/C++; experience with Go or Rust is a plus; solid CS fundamentals: algorithms & data structures, operating systems, computer architecture, parallel programming, distributed systems, deep learning theories.
Knowledgeable and passionate about performance engineering in ML frameworks (e.g., PyTorch) and inference engines (e.g., vLLM and SGLang).
Familiarity with GPU programming and performance: CUDA, memory hierarchy, streams, NCCL; proficiency with profiling/debug tools (e.g., Nsight Systems/Compute).
Experience with containers and orchestration (Docker, Kubernetes, Slurm); familiarity with Linux namespaces and cgroups.
Excellent debugging, problem-solving, and communication skills; ability to excel in a fast-paced, multi-functional setting.
Ways to stand out from the crowd
Experience building and optimizing LLM inference engines (e.g., vLLM, SGLang).
Hands-on work with ML compilers and DSLs (e.g., Triton,TorchDynamo/Inductor,MLIR/LLVM, XLA), GPU libraries (e.g., CUTLASS) and features (e.g., CUDA Graph, Tensor Cores).
Experience contributing tocontainerization/virtualizationtechnologies such ascontainerd/CRI-O/CRIU.
Experience with cloud platforms (AWS/GCP/Azure), infrastructure as code, CI/CD, and production observability.
Contributions to open-source projects and/or publications; please include links to GitHub pull requests, published papers and artifacts.
You will also be eligible for equity and .
These jobs might be a good fit
Share
This role is focused on Data Platform Engineering — not data engineering. While familiarity with Spark, Flink, and other tools in the Hadoop ecosystem is valuable, your primary responsibility will be building and evolving the platform itself, not just authoring data pipelines.
What you’ll do and learnOwn and deliver major components of eBay’s Data Platforms — from design through production rollout.
Design and evolve distributed systems powering ingestion, streaming, lakehouse/warehouse, catalog, and governance.
Contribute to long-term architecture through design reviews and authoring architecture design documents, ensuring scalability and resilience.
Build systems that balance latency, correctness, and cost while ensuring security and compliance.
Drive operational excellence for services you own, including observability and incident response.
Collaborate across product, infra, and analytics teams to align execution with business needs.
Learn and grow in areas like governance, orchestration, and privacy engineering.
Experience designing large-scale distributed systems (compute, storage, APIs, streaming).
Ability to independently deliver complex projects from requirements to production.
Systems thinker who anticipates bottlenecks, schema evolution, and reliability issues.
Strong communication skills to influence cross-team technical outcomes.
Growth mindset with curiosity to learn new technologies.
Impact at scale: powering global analytics and ML systems.
Challenging problems: streaming, freshness/correctness, and multi-cloud resiliency.
Collaborative culture that values inclusion and knowledge sharing.
Support & growth: flexibility, benefits, and career development resources.
Focus on reliability and sustainable on-call practices.
8+ years of distributed systems or data platform experience.
Proven ability to design and deliver critical systems with impact.
Proficiency in Java/Python, CI/CD, and containerized environments.
Hands-on expertise in tools like Kafka/Flink, Spark, Delta/Iceberg, Kubernetes, NoSQL/columnar stores.
Experience in streaming and batch data platforms.
Strong foundation in algorithms and distributed design.
BS/MS in CS or equivalent experience.
These jobs might be a good fit
