Seeking an experienced Standard Cell Design & Characterization Engineer to develop standard cell libraries, support third-party standard cell IP, and enable process characterization infrastructure for all AMD products.
Responsibilities
Design, analyze, and optimize standard cell architectures to achieve performance, power, area, reliability, and manufacturability targets.
Develop circuit-level solutions including transistor sizing, topology optimization, electrical debugging, and design tradeoff analysis.
Drive characterization methodologies for timing, power, noise, variation, reliability, and electromigration modeling.
Generate, validate, and release high-quality library deliverables including Liberty, CCS, LVF, LEF, OA, extracted netlists, and reliability views.
Define characterization requirements, validation methodologies, quality metrics, and signoff criteria.
Requirements
Bachelors or Masters in Electrical Engineering or Computer Science
Nice to have: Experience with Synopsys PrimeLib
Nice to have: Cadence Liberate
Nice to have: Experience across multiple technology generations
We are looking for a talented Full Stack Software Engineer to help us solve the complex, technical challenges of a changing insurance landscape. This person will be a key member of our engineering team, with direct ownership of many parts of the stack.
Locations (2)
United States
Canada
Compensation
Base Salary Range $100,000-150,000 USD
Responsibilities
Collaborate with product managers, designers, and other engineers to develop new features and enhance existing applications.
Design and implement frontend and backend components using JavaScript (Node.js) and Python.
Develop RESTful APIs and integrate with third-party services as needed.
Write clean, maintainable, and efficient code following best practices and coding standards.
Implement automated tests and ensure high code quality through code reviews and continuous integration.
Staff Software Engineer serving as the technical leader for software spanning multiple business and engineering workflows. Architecting and building cross-functional solutions, establishing shared technical patterns, and guiding teams through complex design and implementation decisions.
Locations (2)
United States
Canada
Compensation
Base Salary Range $150,000-200,000
Responsibilities
Shape architecture and technical direction across underwriting, rating, claims, and shared services
Drive wide-reaching technical initiatives end to end
Design and implement critical frontend and backend components using TypeScript/JavaScript (Node.js) and Python
Partner with product managers, designers, engineering managers, and domain experts
Raise engineering quality through design docs, code review, observability, and CI/CD practices
Develop and evaluate machine‑learning models for borrower repayment behavior
Apply causal inference and experimentation to measure intervention impact
Translate model predictions into decision algorithms
Partner with Product, Engineering, and Operations on payment experiences and collections strategy
Identify machine‑learning opportunities in servicing areas
Requirements
Graduate degree in mathematics, applied mathematics, statistics, physics, econometrics, operations research, computer science, or a related quantitative field
Own significant product capabilities end-to-end, from ambiguous problem framing through design, implementation, deployment, and iteration with minimal oversight
Locations (4)
Vancouver, British Columbia, Canada
Toronto, Ontario, Canada
Canada
United States
Responsibilities
Own significant product capabilities end-to-end, from ambiguous problem framing through design, implementation, deployment, and iteration with minimal oversight
Build accessible, data-rich user experiences with React and TypeScript that make complex commercial and healthcare insights clear and actionable
Engineer, Risk, Risk & Total Fund Management
CPP Investments | Investissements RPC · Posted Nov 9, 2026
As a Software Engineer, you will participate in the design, build, test and support of value-add technology solutions and products within the Risk Technology team.
Responsibilities
Participate in the design, build, test and support of technology solutions or enhancements to enable business capabilities in an Agile environment.
Apply an understanding of engineering best practices and participate in continuous improvement across the team.
Build an understanding of the technical landscape and the business capabilities it supports and apply critical thought to business requests.
Demonstrate agility and innovation by participating in experimentation and solicitation of early feedback.
Participate with colleagues to help frame and think deeply about problems, identifying options.
Requirements
Undergraduate degree or college diploma in related field (e.g. Engineering, Computer Science)
Nice to have: data processing frameworks
Nice to have: application integration technologies
Lead finance process transformation, standardization, and automation across Regal Rexnord’s Power Management Division, developing reporting tools, dashboards, and financial models to enhance visibility and decision‑making.
Locations (4)
Apodaca, Nuevo León, Mexico
Mexico
United States
Canada
Responsibilities
Lead finance process transformation and standardization across division
Develop and implement financial reporting tools and dashboards
Partner with plant controllers and operations teams to improve manufacturing finance processes
Support budgeting, forecasting, and long‑range financial planning
Spécialiste principal(e) en architecture de données et intelligence artificielle
Lead data architecture and AI solutions design, governance, and implementation across cloud platforms.
Responsibilities
Concevoir des architectures de données modernes de type lakehouse, maillage de données et tissu de données sur Microsoft Fabric, Azure Databricks, Snowflake ou des plateformes équivalentes
Définir les modèles d’ingestion, de traitement par lots et en temps réel, de stockage et d’exposition des données
Encadrer la modélisation des données, notamment les modèles dimensionnels, Data Vault et sémantiques, ainsi que les normes de qualité des données
Établir les fondations de gouvernance des données, incluant le catalogage, le lignage, la gestion des données de référence, la sécurité et la confidentialité à l’aide de solutions telles que Microsoft Purview et Unity Catalog
Concevoir des solutions d’IA générative et agentique intégrant la génération augmentée par récupération (RAG), les agents, l’orchestration et la recherche vectorielle sur Microsoft Foundry, Azure OpenAI, Amazon Bedrock ou Google Vertex AI
Requirements
Baccalauréat en informatique, en génie logiciel, en mathématiques, en statistique ou dans un domaine connexe
Maîtrise constitue un atout
Nice to have: Certifications Microsoft Fabric Analytics Engineer Associate (DP-600)
Nice to have: Fabric Data Engineer Associate (DP-700)
Build and maintain real-time computation services (AWS Lambda) that serve scores and calculations on-demand to the customer-facing app, with an eye toward latency, reliability, and cost at scale
Design and maintain reliable, scalable APIs and backend services connecting ODAIA’s data, ML, analytics, and agentic capabilities to customer-facing products
Work across our stack: AWS, Kubernetes, Snowflake, PostgreSQL, and embedded analytical engines like DuckDB and DataFusion
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