Performance Engineer jobs in Canada
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
Boston Scientific Senior R&D Test Engineer / ingénieur principal en essais Canada, Quebec, Montreal
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Opis stanowiska:
Poszukujemy Stażysty ds. Wsparcia Administracyjnego, który dołączy do naszych zespołów Payroll oraz Global Business Services (GBS), wspierając działania w krajach regionu EMEA. To idealna rola dla osoby, która lubi pracować z danymi, systemami i różnymi działami, zapewniając płynność procesów biznesowych. Będziesz zajmować się koordynacją informacji, dbaniem o spójność danych oraz wspieraniem narzędzi cyfrowych usprawniających pracę organizacji.
Twoje obowiązki:
· Wsparcie działań GBS i Payroll w zadaniach administracyjnych w regionie EMEA.
· Utrzymywanie i aktualizacja treści wewnętrznych (np. FAQ) na portalu firmowym.
· Przygotowywanie i dostarczanie raportów zespołom wewnętrznym i interesariuszom.
· Organizowanie i uzgadnianie danych na potrzeby raportowania i operacji.
· Weryfikacja i kontrola danych pracowników w systemach.
· Wsparcie testów i dokumentacji w ramach inicjatyw automatyzacji procesów.
Szukamy osoby, która:
· Jest w trakcie studiów licencjackich lub ukończyła kierunek administracja, języki lub pokrewne.
· Biegle posługuje się językiem angielskim i niemieckim (min. B2+). Znajomość innych języków będzie atutem.
· Posiada silne umiejętności organizacyjne i administracyjne.
· Dobrze zna pakiet Microsoft Office i szybko uczy się nowych systemów.
· Jest skrupulatna, analityczna i potrafi rozwiązywać problemy.
· Potrafi pracować samodzielnie oraz w zróżnicowanym, międzynarodowym środowisku.
· Dobrze zarządza czasem i priorytetami.
Oferujemy:
· Umowę stażową do 12 miesięcy, elastyczne godziny (30–40 godz./tyg.).
· Model hybrydowy (3 dni w biurze).
· Międzynarodowe środowisko pracy i wspierających współpracowników.
· Możliwość rozwoju umiejętności administracyjnych i koordynacyjnych w globalnej organizacji.
· Nowoczesne biuro w centrum Warszawy.
Lokalizacja: Warszawa (Hybrydowo)
Start: Grudzień/Styczeń 2025
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MongoDB Senior Software Engineer Search Systems Canada, Ontario, Toronto
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- 5+ years of hands-on experience designing, building, testing, and maintaining industrial-strength backend software in a complex codebase
- Proficient in modern programming languages and techniques
- Experienced in developing distributed systems, cloud services, and SaaS products
- Excellent verbal and written technical communication skills; enthusiasm for collaborating closely with colleagues and mentoring other engineers
- A growth mindset and the desire to learn quickly through taking on challenges, reflecting on outcomes, and incorporating feedback
- A strong sense of ownership over their work, from initial design all the way through maintaining code in production
- Build and design our integrated search platform, written in Java
- Work with a collaborative team that prioritizes sound technical decision-making and building systems that our customers love and that we are proud of as engineers
- Lead projects and own subsystems
- Help determine the team’s roadmap and the architecture of our system
- In 3 months you’ll have contributed to the development of an existing project and completed several improvements or bug fixes
- In 6 months you’ll be reviewing code and project designs, and be an active participant in team meetings
- In 12 months you’ll have a thorough understanding of the systems the team owns and have led a project. You’ll have had a positive impact on our code, product, and team processes
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MongoDB Senior Software Engineer Developer Productivity Canada, Ontario, Toronto
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This role can be based out of our Toronto office or remotely in the Ontario region.
Our ideal candidate will have- 5+ years hands-on experience with Python (or related language) programming experience in industry
- Experience in developer productivity or related infrastructural-focused role
- Strong experience and knowledge of testing techniques focused on distributed systems
- A demonstrated expertise of solid UX-focused design of CLIs for scalability and maintainability
- A track record for mentoring team members
- A proven ability to set and execute the vision for projects that have hit scaling limits
- An appetite for continuous learning and improvement
- A deep empathy and eagerness to understand and solve customer problems
- A proven track record of ownership and drive from idea generation through idea execution
- Experience working with remote teams
- Software ecosystems that contain and routinely run a large number of tests, from unit-level through end-to-end
- Database (or other large system) integration testing frameworks
- Test fuzzing
- TLA+ and its applications
- C++, Java, and/or Go
- Sanitizers and other static analysis tooling
- Kubernetes testing
- Software Architecture and Design Principles
- Take ownership of large areas of testing infrastructure
- Design and develop critical features to evolve our test frameworks and tools
- Produce and execute on strategies that reduce technical debt through iterative and strategic quality of life improvements
- Meaningfully contribute to cohesive strategies to enable the development organization to build with confidence using the right tool for the job
- Mentor and grow other developers
- Show deep empathy towards other developers to understand their pain points and provide impactful solutions
- Onboard quickly and successfully into unfamiliar tools and systems
- Collaborate productively with colleagues at all stages of project lifecycle (ideation, requirements gathering, design, execution, and delivery)
- Within 1 month, you will have completed several small engineering tasks. You will also have a very high-level understanding of the developer experience for the Server and Cloud teams at MongoDB
- Within 3 months, you will have core contributions to at least one feature. You will have a good understanding of the team's mission and goals
- In 6 months you will be proposing improvements for developer experience. You will be taking responsibility for upcoming projects
- In 12 months, you will be mentoring other developers. You will be designing and leading projects
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MongoDB Senior Java Software Engineer Client Libraries Canada, Ontario, Toronto
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- Have 4+ years of experience writing high-quality software
- Have experience implementing libraries or applications in Java, or other languages that run on the JVM
- Are fascinated by, and have experience working with concurrency, parallelism and distributed systems
- Want to participate in open-source software development and communities
- Communicate well, internally and externally, both in writing and face-to-face
- Advocate for testing and modern development best practices
- Can make pragmatic design tradeoffs while balancing features, maintainability, and delivery time
- Elevate the skills and expertise of those around you
- Are excited by our
- , , , , , and other JVM-based projects
- Integrations with other open-source software, such as and AI tools
- Testing, delivering and supporting the above across multiple operating systems, JDKs, and MongoDB releases
- Working with our Product, Server, Cloud, and other driver teams on designs and specifications for new customer-facing MongoDB features
- Investigating bugs and support requests from commercial and open-source customers for the libraries and tools our team maintains
- Seeking out speaking or writing opportunities to engage with our developer community
- Mentoring junior engineers in both technical and non-technical professional skills
- Within three months, you will contribute effectively day-to-day, fix bugs, implement planned features, and thoroughly review your colleagues’ pull requests
- Within six months, you will confidently lead projects, provide mentorship and technical guidance to colleagues, and contribute to process improvements
- Within a year, you will demonstrate strong technical ownership, influence team and product growth through effective communication and collaboration, and contribute to high-impact product enhancements
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MongoDB Senior Solutions Architect Performance Specialist Canada, Quebec, Montreal
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- Ideally 3-8 years of related experience in a customer facing role, with 3 years of experience in pre-sales with enterprise software
- Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
- Significant experience in automated performance testing, including writing test plans, executing tests on tools like Locust, Gatling, jMeter, etc, and interpreting results using tools like Grafana, Prometheus, Kibana, etc
- Knowledge of infrastructure deployments for distributed systems such as Cloud Providers (AWS, GCP, Azure) and on-prem systems (VMWare, OpenShift, Kubernetes)
- Ability to project manage cross-functional teams
- Experience designing with scalable and highly available distributed systems in the cloud and on-prem
- Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
- Significant experience with data modeling relational databases and NoSQL databases like MongoDB
- Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
- Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
- The ability to travel up to 20%
- A Bachelor’s degree or equivalent work experience
- Experience selling databases and/or deploying applications with any of the major cloud providers
- Experience in data engineering or AI/ML projects
- Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
- Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
- A MongoDB Certification
- A Cloud Provider Certification
In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:
- Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
- Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
- Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
- Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members
- Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends
- Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
- Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
- Relational Migrator: Learn to migrate from relational databases seamlessly
- Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
- Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes
- Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
- Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space
- Effective Communication: Master presentations, demonstrations, and whiteboarding
- Client Interaction: Develop strategies for discovery and objection handling
- Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries
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Johnson Electric Product Development Engineer/Specialist Canada, Ontario, Stratford
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As our nextProduct Development Engineer / Specialist,you'll beresponsible to support and lead the development and manufacturing implementation of new Powder Metal components and products.
Why You’ll Love Working Here:
Inclusive Workplace : An inclusive and diverse workplace where all employees are valued and respected.
Technological Leadership: Be part of a company that is a leader in its field, driving technological advancements.
Work-Life Balance: Flexible working hours and policies that support a healthy work-life balance.
Recognition Programs: Programs that recognize and reward employee achievements and contributions.
Community Engagement: Opportunities to participate in community service and corporate social responsibility initiatives.
What You’ll Be Doing:
Participate and contribute in product and process Feasibility Reviews
Acquire and analyze process and product data; make recommendations based on the analysis of these results
Create and implement new procedures through verbal and written instruction to Production Staff
Participate in the design and implementation of preventative and corrective actions
Guide other team members as appropriate and required
Develop and update Advanced Product Quality Planning documentation such as Process Flow Diagrams, Process Failure Modes and Effects Analysis, Process Control Plans, Process Sheet documents and others when required.
Verify the accuracy and approve product documents as required
Work with Production and Quality to aid in the troubleshooting of production parts and processes; providing support where needed
Work on multiple product lines where opportunities exist
All other duties as assigned
What We’re Looking For:
Technician or Technologist in a Metallurgical, Materials or Mechanical discipline
C.E.T. designation eligibility considered an asset
Must be an individual with a practical hands-on approach and strong organizational skills
Demonstrated experience working in a fast-paced manufacturing environment such as Automotive
Demonstrated experience in establishing and working with timelines to achieve objectives
Strong Computer Literacy. Good knowledge of MS Excel and similar Microsoft products
Working knowledge in the use of AutoCad
Working knowledge of basic statistical methods for data analysis and comparisons
Basic ability to read technical drawings
These jobs might be a good fit
Share
- 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
