Senior Software Developer on a contract basis for an internal tooling team in Foundational Systems and Experiences Engineering (FSEE).
Compensation
$75.04—$112.60 CAD
Responsibilities
Design, build, test, and maintain the centralized portal and supporting services that internal console development teams use to onboard new applications.
Work with application developers, quality engineering developers, and partner teams to understand onboarding and development pain points, validate designs, and prioritize useful improvements.
Create clear, accessible interfaces that show application status, required actions, and relevant signals from connected systems.
Build secure, reliable backend services and APIs that integrate with systems involved in application onboarding and development workflows.
Collect and track signals from those systems, then implement dependable checks that can be used as gates in CI/CD pipelines.
Lead the hardware design of power conversion products, from topology selection through prototype and commercial-scale manufacturing, and mentor other engineers.
Locations (2)
Merrimack, New Hampshire, United States
Pointe-Claire, Quebec, Canada
Responsibilities
Own the power-stage hardware design of assigned power conversion products and set the hardware design rules that the product line follows.
Design power stages for AC/DC rectifiers, DC/AC inverters, and bidirectional, multi-phase, and interleaved DC/DC converters using Si and SiC MOSFETs, IGBTs, and SCRs.
Design gate drives, current and voltage sensing, protection and fault-detection circuits, and auxiliary power supplies.
Design supporting circuits, including DC links, active and passive pre-charge and discharge circuits, input and output filters, snubbers, clamps, relay and contactor drives, fan control and monitoring, and interfaces to capacitor and supercapacitor energy storage.
Design and specify low- and high-frequency magnetic and filter components and qualify them with suppliers.
Lead technical work on short‑circuit, protective device coordination, arc‑flash, and grounding studies for DC and AC power conversion and distribution products, mentoring engineers and driving design decisions.
Lead a Forward Deployed Engineering team to design, build, and deploy AI/ML solutions for legal customers, balancing technical guidance with strategic influence and people management.
Locations (8)
New York City, New York, United States
San Francisco, California, United States
Los Angeles, California, United States
Irvine, California, United States
McLean, Virginia, United States
Senior Manager, Data Platform(s) Architect, Data & AI
Lead the design and implementation of data and analytics solutions, focusing on the lakehouse paradigm centered on Databricks, across Azure, AWS, and GCP.
Responsibilities
Translate business and analytics requirements into a data, analytics and AI strategy and requirement for the engagement
Architect and develop overall end-to-end design of data and analytics solutions across Data Lakes, Data Warehouses, Data Lakehouses, pipelines on modern data platforms such as Microsoft Fabric, Databricks and Snowflake
Analyze, implement, and resolve issues with existing modern data platforms
Provide mentorship to a team of data engineers, software developers, and data scientists
Lead the design and implementation of CI/CD pipelines for application, data, and AI workloads
Requirements
University degree in computer science, engineering, data science, mathematics, or a related discipline
Nice to have: Relevant certifications (Databricks, Fabric or cloud architect)
Lead the design, build, and evolution of AI microservices and tools within AMD’s Inference Microservice ecosystem, driving technical strategy, architecture, and cross-functional collaboration.
Responsibilities
Own and drive design of complex, data‑heavy backend services and user‑facing applications for AI/GPU and platform workflows
Set and evolve architectural direction for Kubernetes toolchain, APIs and UIs enabling core AI workflows
Optimize systems for efficiency, performance and reliability; debug and resolve cross‑cutting production issues
The base compensation range varies across locations. Eligible office location(s) for this role include one or more of the following: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base compensation range for the role in any of those locations is $136,000 USD - $253,000 USD. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $118,400 USD - $219,800 USD. For Ontario, Canada, the base compensation range for this role is $140,600 CAD - $190,600 CAD.
Responsibilities
Lead and support multiple cross-functional Forward Deployed Engineering project teams
Architect and guide the design of scalable, secure AI/software solutions
Drive innovation by evaluating and adopting emerging AI methodologies
Manage and develop talent through hiring, performance management, coaching, and mentoring
Translate business needs into AI solutions and coordinate with stakeholders
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