Systems Administrator 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 .
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Boston Scientific Senior Contracts Administrator / Administrateur principal de... Canada, Ontario, Toronto
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Your responsibilities will include:
andthrough compelling presentations, hands-on training, and clinical support
Traveling regularly to hospitals and clinics to assess customer needs, deliver procedural support, and guide physicians on best practices for patient care
Building strong relationships with clinical and administrative stakeholders to identify opportunities for therapy adoption and market expansion
Collaborating across cross-functional teams—sales, marketing, clinical research, and training—to deliver strategic insights and implement territory-specific plans
Championing new product launches and acting as a resource for competitive intelligence within the electrophysiology and structural heart space
Supporting market development initiatives by connecting with key opinion leaders, external fellows, and referring physicians to promote awareness and utilization
Contributing to talent development and mentoring new team members as needed, while embracing Boston Scientific’s inclusive and high-performance culture
Monitoring clinical trial activity in your area, including interest visits, site initiations, and protocol education
Ensuring compliance with regulatory requirements and internal procedures by maintaining current knowledge of clinical trial protocols and standards
Participating in on-call coverage as required to support critical case needs
Required qualifications:
Minimum of a bachelor’s degree or equivalent experience.
Minimum of 2 years' experience in clinical cardiology, medical device sales, or a related industry.
Preferred qualifications:
Experience in structural heart, atrial fibrillation, or electrophysiology strongly preferred.
Demonstrated technical aptitude with the ability to communicate complex clinical and product information effectively.
Advanced degree in healthcare or business is a plus.
The anticipated annualized base amount or range for this full time position will be, plus variable compensation governed by the Sales Incentive Compensation Plan (which includes certain annual non-discretionary incentives based on predetermined objectives) as well as the value of core and optional benefits offered at BSC, which can be reviewed at www.bscbenefitsconnect.com. Actual compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, and other relevant business or organizational needs.
For MA positions:It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.
Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.
Among other requirements, Boston Scientific maintains specific prohibited substance testing requirements for safety-sensitive positions. This role is deemed safety-sensitive and, as such, candidates will be subject to a drug test as a pre-employment requirement. The goal of the drug testing is to increase workplace safety in compliance with the applicable law.
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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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EY Consultant - HR Systems Testing Canada, Ontario, Toronto
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We empower our clients HR functions to unlock greater organizational value through innovative talent strategies, streamlined operations, and cutting-edge HCM technology modernization initiatives.
The ideal candidate will be responsible for validating functional requirements, executing test cases, and ensuring the quality and performance of HCM applications.
Your key responsibilities
- Collaborate with business analysts, developers, and HR stakeholders to understand functional requirements.
- Design, develop, and execute test plans and test cases for HCM modules (e.g., Core HR, Recruitment, Onboarding, Payroll, Performance Management, Learning, Offboarding).
- Validate end-to-end HR lifecycle processes and ensure system functionality aligns with business needs.
- Identify, document, and track defects using test management tools.
- Participate in system integration testing (SIT), user acceptance testing (UAT), and regression testing.
- Provide feedback and recommendations for continuous improvement of testing processes.
- Ensure compliance with data privacy and security standards in HR systems.
Skills and attributes for success
If you have the confidence in both your presentation and technical abilities to grow into a leading expert here, this is the role for you.
To qualify for the role you must have
- Bachelor’s degree in Computer Science, Information Systems, HR, or a related field.
- 1+ years of experience in various testing approaches , preferably in HCM or ERP systems (e.g., Dayforce, SAP SuccessFactors, Workday).
- Strong understanding of the full HR lifecycle and associated business processes.
- Experience with test management tools (e.g., JIRA, HP ALM, TestRail).
- Flexibility and ability to travel
Ideally, you’ll also have
Ceridian Dayforce testing experience.
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 to 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, coaching and feedback from some of the most engaging colleagues around
- 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
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Johnson Electric Human Resources Administrator Canada, Ontario, Stratford
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- Collaborative Culture : A supportive and collaborative work environment where teamwork and knowledge sharing are encouraged.
- Competitive Compensation : Attractive salary packages and comprehensive benefits that reward your hard work and dedication.
- Global Presence : Be part of a global company with diverse teams and the opportunity to work on international projects.
- Career Advancement : Clear career paths and opportunities for advancement within the company.
• Administer payroll and time/attendance systems
• Maintain accurate employee records and system updates
• Track vacations, leaves, and absenteeism
• Manage benefit programs and disability claims
• Support new employee onboarding and system access
• Conduct hourly performance reviews and maintain training records
• Assist with employee relations activities (BBQs, awards, etc.)
• Provide administrative support across HR functions
• Ensure compliance with company policies and quality/EHS systems
• Coordinate continuous improvement initiatives
• Post-diploma or degree in Human Resource Management
• Working toward or holding CHRP designation
• Experience in manufacturing and payroll is an asset
• Proficiency in Microsoft Office and HR systems
• Strong organizational and interpersonal skills
• Ability to multitask and communicate effectively
• High integrity, dependability, and results orientation
• Experience with Ceridian, Workday, or IDT is a plus
Bonus Points If You Have:
• Experience supporting HR initiatives and projects
• Familiarity with shop floor systems and employee access tools
• Knowledge of health & safety and environmental compliance
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Amazon Software Development Manager Offers Platform Catalog Systems... Canada, British Columbia, Vancouver
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Key job responsibilities- Create and annotate high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Write grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
- Utilize Python and SQL to automate and optimize data processing workflows
- Interpret technical documentation to implement solutions accurately
- Dive deep into issues and implement solutions independently
- Identify and report tooling bugs and suggest improvements
- Make sound judgments and logical decisions when faced with ambiguous or incomplete information
- Bachelor’s degree in a relevant field or equivalent professional experience.
- Advanced English-level language proficiency (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).
- Proven experience working with written language data, including experience with annotation, and other forms of data markup.
- Familiarity with critical concepts such as Python, scripting language, data structures etc.
Preferred Qualifications
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy.
- Experience managing stakeholder relationships across departments.
- Advanced-level proficiency in multiple languages (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).
These jobs might be a good fit
Amazon Software Development Manager Offers Platform Catalog Systems... Canada, British Columbia, Vancouver
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Key job responsibilities
Your responsibilities include:* Technical leadership including architecture and design discussions for engineering problems and technical deep dives to ensure resolution and root causes of complex issues.
* Work with your team, your peers, senior management, and senior engineers to implement best practices in software development and operational processes.
* Develop and grow the members of your team, as well as mentoring others.
* Keep up to date with new technologies used in the field and by our customers, to stay current in our rapidly changing environment
- 3+ years of engineering team management experience
- 7+ years of working directly within engineering teams experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams
Preferred Qualifications
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
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
