Embedded AI/ML Software – Technical Marketing Engineer Job at AMD (Belfast)

GPU Embedded Ai/Ml Technical Marketing Engineer

AMD's Adaptive Embedded Compute Group (AECG) builds products that blend powerful...

Location

United Kingdom , Belfast

Salary:

Not provided

AMD

Expiration Date

Until further notice

Requirements

Strong understanding of GPU architectures and GPU software stacks, including graphics, compute, and AI/ML workloads, across Linux and Windows environments
Hands on experience with implementing AI/ML and high performance compute workloads for a variety of applications using GPUs
Experience with virtualization and embedded systems is highly desirable
Confidence in presenting complex technical material to technical sales and customers
Strong cross-functional communication and dependency management skills with attention to detail
Experience in software integration, program planning, or technical project coordination
BS in Computer Science, Computer Engineering, or Electrical Engineering. MS or PhD is a plus

Job Responsibility

Customer-Facing Content for Reference Applications: Translate internal reference designs for AMD Embedded APUs into customer-ready technical training and reference designs
Articulate system-level value propositions language that sales and partners can confidently use with Embedded AI customers
Develop 'what to say to customers' guidance, including embedded system deployment, architectural tradeoffs, and design best practices
Sales and Field Enablement: Partner closely with sales, FAEs, and solutions engineers to ensure consistent, accurate, and compelling messaging for AMD embedded x86 AI solutions
Create and maintain enablement assets such as pitch decks, whitepapers, FAQs, competitive positioning, and architectural overviews
Support strategic customer and partner engagements by providing deep technical context and architectural guidance when needed
Technical Training: Design and deliver high-impact technical training for internal audiences (sales and FAEs) covering AMD embedded x86 AI Solutions
Deliver external technical training for ODMs and end customers, tailoring content for varying levels of technical depth
Build modular, reusable training content (slides, diagrams, labs, recordings) that can be scaled globally
Cross-Functional Collaboration: Work closely with technical sales, application teams, product management, and engineering teams to stay aligned with current and future reference designs and roadmap direction

Fulltime

Gpu Embedded Ai/Ml Technical Marketing Engineer

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great prod...

Location

United Kingdom , Belfast

Salary:

Not provided

AMD

Expiration Date

Until further notice

Requirements

Strong understanding of GPU architectures and GPU software stacks, including graphics, compute, and AI/ML workloads, across Linux and Windows environments
Hands on experience with implementing AI/ML and high performance compute workloads for a variety of applications using GPUs
Confidence in presenting complex technical material to technical sales and customers
Strong cross-functional communication and dependency management skills with attention to detail
Experience in software integration, program planning, or technical project coordination

Job Responsibility

Translate internal reference designs for AMD Embedded APUs into customer-ready technical training and reference designs
Articulate system-level value propositions language that sales and partners can confidently use with Embedded AI customers
Develop what to say to customers guidance, including embedded system deployment, architectural tradeoffs, and design best practices
Partner closely with sales, FAEs, and solutions engineers to ensure consistent, accurate, and compelling messaging for AMD embedded x86 AI solutions
Create and maintain enablement assets such as pitch decks, whitepapers, FAQs, competitive positioning, and architectural overviews
Support strategic customer and partner engagements by providing deep technical context and architectural guidance when needed
Design and deliver high-impact technical training for internal audiences (sales and FAEs) covering AMD embedded x86 AI Solutions
Deliver external technical training for ODMs and end customers, tailoring content for varying levels of technical depth
Build modular, reusable training content (slides, diagrams, labs, recordings) that can be scaled globally
Work closely with technical sales, application teams, product management, and engineering teams to stay aligned with current and future reference designs and roadmap direction

Fulltime

Ai Gpu Product Planning Lead - Embedded Software

AMD's AECG group is looking for a AI GPU Product Planning Lead - Embedded Softwa...

Location

Canada , Markham

Salary:

147680.00 - 221520.00 CAD / Year

AMD

Expiration Date

Until further notice

Requirements

Strong understanding of GPU architectures and GPU software stacks, including graphics, compute, and AI/ML workloads, across Linux and Windows environments
Experience with virtualization and embedded systems is highly desirable
Strong cross-functional communication and dependency management skills
Experience in software integration, program planning, or technical project coordination
BS/MS in Computer Science, Computer Engineering, or Electrical Engineering

Job Responsibility

Work with market segment leads, product line managers, and solution planning team to translate key embedded customer needs into actionable engineering requirements
Work with engineering teams to establish and maintain deliverable roadmaps with a focus on early enablement for key embedded customers
Define and align requirements for all solution components: Virtualization, Yocto Project Linux for embedded ROCm support, ROCm for AI workloads and specialized stacks (ROS, multimedia analytics, VLM/LLM/CNN's)
Work with AECG technical marketing and field support teams to deliver timely demonstrations and examples to promote customer adoption
Act as single-point coordinator between ROCm dev, OS enablement, virtualization, QA, software engineering and customer enablement teams

Fulltime

Staff Software Engineer AI

GoodLeap’s Consumer Solutions Business Unit is redefining how homeowners manage ...

Location

United States , Roseville; Austin; Lehi; Plano; San Francisco; San Mateo; West Palm Beach; Bentonville; Dallas; Irvine

Salary:

173000.00 - 200000.00 USD / Year

GoodLeap

Expiration Date

Until further notice

Requirements

8+ years of experience in backend development
At least 2+ years working with AI/ML solutions or LLM
Experience working with vector databases, embeddings, and semantic search
Familiarity with MLOps, CI/CD for AI pipelines, and AI observability tools
Strong experience in Node.js, TypeScript, GraphQL, and REST APIs
Deep familiarity with AWS architecture — especially Lambda, ECS, S3, DynamoDB, API Gateway, and Step Functions
Experience building and integrating LLM features (e.g., via OpenAI, Claude, Vertex AI, or similar), including prompt design, vector storage, and retrieval strategies
Fluency in system design principles, scalability, reliability, fault-tolerance
Ability to drive clarity and make architectural tradeoffs, balancing idealism with pragmatism
Strong communication and collaboration skills, able to work effectively across product and engineering orgs

Job Responsibility

Design and lead backend architecture that supports AI/ML-powered features across mobile and API surfaces
Own end-to-end technical strategy for embedding LLMs, embedding stores, and personalized content delivery
Partner with product and design to scope features, validate feasibility, and ensure execution aligns with business impact
Build tools and services to help other team members experiment and ship AI-enhanced features responsibly and efficiently
Influence engineering standards and promote excellence in observability, performance, and security
Mentor engineers across teams, helping them level up in areas of backend architecture, AI integration, and delivery quality
Collaborate with cross-functional partners across QA, Mobile, Data Science, Product, and Marketing

What we offer

May be eligible for a bonus
Opportunities for growth and advancement within the company

Fulltime

Head of Technology, Intelligence Ventures

The Head of Technology serves as the chief technology officer of a new behaviora...

Location

United States , New York

Salary:

263200.00 - 393800.00 USD / Year

Spectrum

Expiration Date

Until further notice

Requirements

Deep expertise across the full intelligence platform stack — including distributed data pipelines, ML platform architecture, embedding systems, feature stores, agent-to-agent API design, and LLM-powered application layers — with demonstrated ability to architect and ship all layers as a coherent, production-grade product
Demonstrated experience architecting and operating consumer data intelligence or data product platforms underpinned by complex machine learning systems and built on modern, cloud-native data infrastructure
Hands-on proficiency with Snowflake (including Cortex, Native Apps, and data sharing frameworks), cloud data platforms (AWS, Azure, or GCP), and production ML/AI systems at scale
Experience building agentic AI systems and LLM-powered product interfaces — including agent-to-agent APIs, retrieval-augmented generation architectures, and natural language UIs grounded in proprietary data — with strong product instincts around accuracy, trust, and user experience for non-technical enterprise audiences
Proven ability to translate complex technical architecture into clear executive and partner-facing communications
comfortable engaging at the C-suite level and in strategic partner negotiations with hyperscalers and technology platforms
Strong understanding of privacy-preserving data architecture, including differential privacy, de-identification techniques, zero-copy and clean room frameworks, and the regulatory landscape governing consumer behavioral data
Track record of recruiting and developing exceptional engineering talent in competitive markets
experience building high-performance teams from early-stage through scaled operations
Experience managing external development partners and outsourced engineering resources alongside an internal team in a fast-moving, build-from-scratch environment

Job Responsibility

Own the end-to-end technical architecture of the platform — from large-scale network signal ingestion and processing through behavioral embedding generation, feature store construction, and zero-copy intelligence delivery to enterprise partners — ensuring the platform is production-grade, built for household-scale throughput, and designed for long-term extensibility across new signal sources and use cases
Lead the build of the platform’s cloud-native data and application infrastructure — including ingestion and transformation pipelines, ML/AI compute environments, zero-copy partner access frameworks, and a real-time agent-to-agent API layer that enables external AI systems (marketing agents, commerce agents, customer service agents) to query household-level intelligence and receive contextually grounded responses
Serve as the technical lead in strategic partner integrations with cloud, data, and AI platform providers, ensuring each integration is architecturally differentiated and aligned with the platform’s cloud-agnostic, API-first design principles
Architect and deliver a business-facing agentic intelligence interface — a natural language UI that allows non-technical marketers, planners, and business users to query household behavioral intelligence, surface demand signals, and take action without requiring data or engineering support
Build and manage a world-class engineering organization capable of competing for talent with the leading technology and data infrastructure companies

Fulltime

SoC Security Architect

The AMD Compute and Graphics (CG) Business Unit is looking for an exceptional Se...

Location

United States , Austin; Boston

Salary:

200000.00 - 300000.00 USD / Year

AMD

Expiration Date

Until further notice

Requirements

Expert knowledge of security technologies including secure boot, attestation architecture, confidential computing, trusted execution environment (TEE) architecture, security protocols, and device I/O protection mechanisms
Deep expertise in hardware architecture, SOC architecture, embedded firmware and operating systems security (Linux, Windows)
Extensive applied cryptography experience with ability to tailor solutions to specific use cases
Proven experience designing large-scale systems with vertical integration from software to hardware touchpoints
Strong background in threat modeling, vulnerability assessment, and security analysis methodologies
Active participation in industry standards organizations (TCG, OCP, NIST, etc.) with demonstrated influence on security standards
Exceptional technical writing skills with proven ability to translate market and customer requirements into technical specifications
Strong cross-functional collaboration skills working across hardware, software, firmware, and business units with excellent communication abilities
Experience with AMD security technologies and client security architecture
Knowledge of hardware security modules, secure element architectures, and security certification processes (FIPS, Common Criteria)

Job Responsibility

Define and drive comprehensive security architecture for AMD's system-on-chip (SOC) products across the entire technology stack
Develop security specifications and requirements based on market analysis, customer input, and industry trends
Lead cross-functional collaboration with hardware, software, firmware, and product management teams to implement security architecture
Design secure boot, attestation, and confidential computing architectures for client and gaming products
Conduct threat modeling and vulnerability assessments for complex system architectures
Drive security architecture decisions across multiple technology, IP and Software teams while mentoring engineering teams
Engage with industry standards organizations (TCG, OCP, etc.) to influence and adopt security standards

What we offer

AMD benefits at a glance

Fulltime

Director of Product Management – AI Platform (Compute, Integrations & Cloud Infrastructure)

Location

India , Hyderabad, Telangana, India | Pune, Maharashtra, India | Bengaluru, Karnataka, India

Salary:

Not provided

Teradata

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field (PhD preferred)
10+ years of product management experience, including 5+ years leading AI/ML or advanced analytics products
Deep technical expertise in AI/ML concepts, including LLMs, foundation models, supervised/unsupervised learning, fine-tuning, inference pipelines, and multi-modal AI
Proven success embedding AI into enterprise-scale platforms, especially in data management, analytics, or cloud environments
Strong technical fluency with AI infrastructure — including distributed training, inference optimization, GPU/accelerator integration, and workload orchestration
Experience defining APIs, SDKs, and developer integrations for enterprise AI adoption
Demonstrated knowledge of hybrid and multi-cloud architectures and their impact on AI performance, scalability, and cost optimization
Familiarity with governance and compliance frameworks (HIPAA, GDPR, SOC2) and applying them to AI/ML solutions
Exceptional communication skills with the ability to influence C-level stakeholders and articulate AI product strategy
Track record of customer engagement, market analysis, and competitive benchmarking in enterprise software

Job Responsibility

Serve as a senior Products leader driving Teradata’s AI product management strategy across our global portfolio
Define and influence how Teradata integrates AI/ML technologies into our enterprise-scale data and analytics platforms
Shape how customers harness Teradata’s VantageCloud and data warehouse capabilities through AI-driven insights, automation, and intelligent applications
Set the roadmap for embedding AI into mission-critical workloads, balancing innovation with performance, governance, and compliance
Deliver enterprise-grade AI solutions optimized for hybrid and multi-cloud deployments, unlocking measurable customer value while ensuring scalability, reliability, and cost-efficiency of AI workloads
Collaborate with engineering, cloud infrastructure, data science, UX, and governance functions to bring next-generation AI capabilities into Teradata’s enterprise ecosystem
Define the product vision, roadmap, and execution of AI initiatives, ensuring they meet both business and technical objectives
Report to the VP of Product Management and partner closely with product engineering and platform leaders worldwide
Act as the strategic AI product leader for Teradata, influencing global product direction

What we offer

People-first culture
Flexible work model
Focus on well-being
Commitment to an inclusive environment

Fulltime

Senior Applied AI Engineer

We are seeking a highly experienced and technically proficient Sr Applied AI Eng...

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of experience in software engineering, with at least 5+ years specializing in Applied AI/ML engineering or related roles
Significant proven data science / AI engineering experience, with multiple years leading tech implementations in financial services or enterprise environments
Demonstrated success building AI applications in investment banking, asset management, or capital markets domains
Deep expertise in ML, NLP, LLMs, retrieval-augmented generation (RAG), embeddings, and modern MLOps practices
Strong experience working with both structured financial datasets and unstructured data sources (e.g., filings, call transcripts, research)
Familiarity with front-office workflows in ECM, DCM, M&A, and investment research
Experience deploying AI solutions in secure, high-compliance environments (on-premise, hybrid cloud, or private cloud)
Strong communication and stakeholder management skills

Job Responsibility

AI/ML Solution Design & Implementation: Lead the end-to-end design, architecture, and hands-on implementation of advanced AI/ML solutions and platforms supporting Investment Banking workflows in ECM, DCM, and M&A. This includes leveraging existing models and adapting them to specific business needs
Subject Matter Expertise: Act as the primary subject matter expert in Investment Banking products (ECM, DCM, M&A), collaborating closely with business stakeholders to understand their needs and identify high-impact AI opportunities
Technical Leadership & Mentorship: Provide technical leadership and guidance to engineering teams, fostering best practices in AI/ML solution implementation and scalable system design. Mentor less experienced engineers through code reviews, technical discussions, and collaborative problem-solving
Strategic Vision & Innovation: Contribute to the strategic vision for AI in Investment Banking, researching and evaluating new AI technologies, methodologies, and tools to maintain a competitive edge
Data Strategy & Engineering: Work closely with data engineers to define data requirements, ensure data quality, and optimize data pipelines for AI solution integration and deployment
Model Deployment & Monitoring: Oversee the deployment, scaling, monitoring, and ongoing maintenance of AI/ML solutions in production environments, ensuring reliability and performance
Performance Optimization: Identify and implement performance optimizations for AI solutions and underlying infrastructure to ensure efficient resource utilization and rapid inference
Collaboration: Partner with cross-functional teams, including product managers, data scientists, quantitative analysts, and other engineering leads, to deliver integrated solutions
Documentation: Create comprehensive technical documentation, including design specifications, architecture diagrams, and operational guides

Fulltime

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Embedded AI/ML Software – Technical Marketing Engineer

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