The Sr Staff Engineer Engineer, Verification (CI/CD & Embedded HW) is a senior individual contributor responsible for designing, scaling, and hardening CI/CD infrastructure and verification systems that validate Qualcomm’s AI Software stack—including QNN HTP, QAIRT, toolchains, kernels, and embedded runtime components.
Responsibilities
Architect and scale large-distributed CI/CD systems with high throughput and low flakiness
Lead design, development, and integration of complex cloud subsystems, mentor team members, and drive innovation in software systems.
Compensation
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
– Canada: Annual Salary CAD 141,500 - 283,500
Responsibilities
Leads the project team for design and development of complex products and platforms, including solution design, analysis, coding, testing, and integration for building efficient, scalable and robust cloud subsystems.
Reviews and evaluates designs, test plans, and develops code for compliance with cloud design and development guidelines and standards.
Provides tangible feedback to improve product quality and mitigate risks.
Represents the engineering team in various technical forums and provides guidance and mentoring to less-experienced team members.
Drives innovation and integration of new technologies into projects and activities in the software systems design organization.
Requirements
Bachelor's or master's degree in computer science, engineering, information systems, or closely related quantitative discipline
The AI Accelerator Analyst builds practical AI solutions and provides trusted advice. The role combines hands‑on AI skills, analytical thinking, a focus on user needs and sound risk management.
Compensation
79 100 $/$79,100 - 111 700 $/$111,700 CAD
Responsibilities
Build AI solutions: Create reusable prompts, copilots, analytical tools and prototypes. Test them, gather feedback, improve them and document how to use them.
Use advanced analytics: Use Python, PySpark and Databricks to explore data, automate work and support AI use cases. Turn findings into clear recommendations.
Stay current on AI tools: Build hands‑on knowledge of different AI tools, test new features and explain where each tool adds value.
Manage AI risks: Assess risks related to privacy, bias, unreliable outputs and regulation. Include the right controls, testing and escalation steps.
Provide practical advice: Explain recommendations clearly and suggest workable alternatives when needed.
Requirements
Bachelor's or master's degree in a relevant field, or an equivalent combination of education and experience.
Own and improve components of our internal developer platform, using AI coding agents to deliver useful, tested changes at pace.
Compensation
In line with the amended Employment Standards Act 2000, the salary range for this role is: $120K-$140K, dependent on assessment of skills during the interview process.
Responsibilities
Deliver platform features from clarified requirements through implementation, testing, rollout and support
Agree acceptance criteria and keep changes small enough to review
Use AI agents to investigate repositories, implement changes, write tests and improve documentation
Build reusable Terraform modules, CI/CD templates and platform APIs or command-line tools that replace recurring manual work
Operate cloud and Kubernetes services, including GitOps with FluxCD
Operations and Procurement Senior Associate role focused on optimising operational efficiency and effectiveness for clients, involving analysis, strategy development, and implementation support.
Compensation
The salary range for this position is $87,700 - $137,700.
Responsibilities
Leading or supporting defined components or workstreams of client engagements
Structuring ambiguous client problems into clear questions, analyses and practical workplans
Developing strategic plans, operational frameworks, and implementation roadmaps
Building trusted relationships with client counterparts and work directly with stakeholders
Preparing clear, concise and client-ready materials for working-level and executive audiences
Requirements
Bachelor's degree in business, Finance, Administration, Operations Management, Public Policy, Political Science, Science, Education, or a related discipline
Play a key role across all stages of client engagements—from discovery and diagnostics to solution development and implementation, applying structured problem-solving and analytics to influence real business decisions.
Compensation
Competitive Compensation: Salary, bonus, and benefits benchmarked against top consultancies
Responsibilities
Collaborate within teams of two to four Associates and Consultants to support all phases of client engagements
Contribute to defined workstreams, execute analyses, and support internal and client reviews
Structure ambiguous problems and develop practical, client-ready solutions
Present findings and recommendations clearly and confidently to clients
Structure, clean data, and analyze large and complex datasets (pricing, transactional, customer)
Hands-On Data and Analytics Technical Manager with expertise in developing, architecting and implementing data and analytics solutions for clients while also advising in developing the strategic data and analytics roadmaps.
Compensation
Compensation Range: $98,000 - $180,400
Individuals selected for this role will be eligible for a discretionary bonus based on firm and individual performance.
Responsibilities
Lead overall project teams and/or technical teams through the definition and implementation of data and analytics solutions.
Serve as the technical architect for data and AI assessments, translating findings into strategies and roadmaps.
Conduct rapid data and analytics assessments to identify gaps and inform roadmap development.
Stay abreast of emerging trends, technologies, and industry developments in big data, cloud computing, and assess their potential impact on the organization.
Develop and maintain data management, data governance, and data security with best practices, standards, and guidelines aligned with regulatory requirements and industry standards.
Join us as a Principal DevOps Engineer (AI/ML Infrastructure), where you'll play a pivotal role building out, maintaining and operating our AI infrastructure, that is part of the Signals Platform. This is your chance to work closely with a dedicated team of experience developers building out AI capabilities within our product.
Compensation
The base salary range for this full-time position is $130,000 - $165,000 CAD.
Responsibilities
Architect, design, and lead the implementation of scalable, secure, and resilient infrastructure for AI/ML workloads
Build and maintain the continuous integration and continuous deployment (CI/CD) pipelines specifically for AI models, managing everything from data ingestion to model serving and monitoring
Act as a subject matter expert and mentor for junior engineers, driving the adoption of best practices for AI/ML platform development, code management, and deployment
Work closely with AI researchers, and software engineers to optimize performance and streamline the end-to-end development and experimentation process
Ensure the reliability, security, and performance of AI systems
The OTC Derivatives Controls Analyst will investigate OTC uncleared derivative trades valuation differences and resolve margin disputes, creating daily reconciliation reports and monitoring exposure differences in compliance with regulatory guidelines.
Responsibilities
Produce, analyze and investigate exposure reconciliations for in-scope counterparties according to regulatory guidelines
Track and monitor frequency of required reconciliations based on counterparty trade volumes
Partner with IT to reduce systemic risk and increase operational efficiencies in the daily process
Case manage and report exposure differences in TriResolve and using EUC tools
Escalate disputes/discrepancies per Standing Orders and department Operating Procedures
Requirements
College or University Diploma/degree
Nice to have: Experience with AI agents and AI tools
Nice to have: Experience with maintaining Excel macros or equivalent scripts
Nice to have: Experience with programming languages and data query (VBA, Python, SQL)
Nice to have: Experience with management information reporting
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