ml application engineer – ai inference & model optimization (staff/senior staff level) - riyadh, ksa

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ml application engineer – ai inference & model optimization (staff/senior staff level) - riyadh, ksa Jobs in Riyadh

ai software engineer llm engineer

TAWANTECH

<div>Job Summary
We are seeking an AI Software Engineer with hands-on experience in Large Language Models (LLMs) and Generative AI technologies to develop intelligent solutions that enhance customer experience, operational efficiency, and knowledge management within the banking sector.
Key Responsibilities<ul><li>Design, develop, and deploy AI-powered applications leveraging LLMs and Generative AI.</li><li>Build Retrieval-Augmented Generation (RAG) solutions using enterprise banking data.</li><li>Develop intelligent assistants, chatbots, and knowledge management solutions.</li><li>Integrate AI services with banking applications and APIs.</li><li>Fine-tune, evaluate, and optimize LLM performance.</li><li>Ensure compliance with banking security, governance, and regulatory requirements.</li><li>Collaborate with business, data, and technology teams to deliver AI-driven solutions.</li></ul> 
Requirements<ul><li> 
4+ years of software engineering experience.</li><li>Strong Python programming skills.</li><li>Experience with LLMs, Generative AI, and Prompt Engineering.</li><li>Experience with LangChain, LlamaIndex, Vector Databases, and RAG architectures.</li><li>Familiarity with machine learning frameworks and AI deployment practices.</li><li>Experience with cloud platforms (AWS, Azure, GCP) is preferred.</li></ul>
Preferred Qualifications<ul><li>Banking or Financial Services experience.</li><li>Experience developing AI copilots or customer-facing AI solutions.</li><li>Knowledge of AI governance and responsible AI practices.</li></ul></div>

AI Software Engineer / LLM Engineer

Qualcomm

<div>
 
 
 Company:
 
 
 
 
 Qualcomm Middle East Information Technology Company LLC
 
 
 
 
 Job Area:
 
 
 
 
 Engineering Group, Engineering Group &gt; Software Engineering
 
 
 
 
 General Summary:
 
 
 
 
 
 About Us
 
 
 
 Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You&rsquo;ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.
 
 
 Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region.
 
 
 As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world‑class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale. This is a unique opportunity to work in a fast‑growing technology hub, supporting critical environments and helping shape the future of data centre operations in the Kingdom and beyond.
 
 
 
 
 About The Role
 
 
 
 
 We are seeking a Full-Stack Machine Learning Engineer to join our team, bridging AI solutions development with AI platform engineering for Qualcomm&rsquo;s AI Inference Suite and rack-scale data center deployments. This role involves designing, delivering, and supporting end-to-end AI services, agentic workflows, and fine-tuning pipelines, while enabling lifecycle automation, orchestration, and observability for large-scale data center environments.
 
 
 You will bring a strong combination of full-stack engineering expertise, machine learning proficiency, and infrastructure knowledge to build robust, scalable AI systems.
 
 
 
 
 Key Responsibilities Will Include:
 
 
 
 
 <ul>
 <li>
 API Development &amp; Optimization: Build and optimize API serving layers for AI inference workloads, ensuring model and hardware efficiency.
 </li>
 <li>
 Agentic Workflows &amp; RAG Pipelines: Develop intelligent agents and retrieval-augmented generation workflows using frameworks such as LangChain and crew.ai.
 </li>
 <li>
 Model Lifecycle Management: Implement production-grade bring-your-own-model and fine-tuning flows, including dataset ingestion, orchestration, evaluation, and deployment.
 </li>
 <li>
 LLM Runtime Integration: Work with various LLM runtimes (e.g., vLLM, Dynamo, llm-d) and leverage inference optimization techniques.
 </li>
 <li>
 SDK &amp; Tooling Contributions: Contribute to AI Inference Suite SDKs (Python/TypeScript/Java/Rust), CLI tools, and reference applications.
 </li>
 <li>
 Cluster Management: Design and maintain AI cluster management software for provisioning, orchestration, and monitoring.
 </li>
 <li>
 Telemetry &amp; Observability: Integrate out-of-band management via Redfish/IPMI and in-band telemetry using Prometheus/OpenTelemetry.
 </li>
 <li>
 Infrastructure-as-Code: Develop workflows using MAAS, Terraform, and Ansible for bare-metal and containerized deployments.
 </li>
 <li>
 Kubernetes Orchestration: Enable Kubernetes/Helm-based orchestration for inference clusters and multi-tenancy.
 </li>
 <li>
 Monitoring &amp; Dashboards: Build dashboards for rack health, inventory, and SLA compliance.
 </li>
 <li>
 Continuous Innovation: Stay current with GenAI trends, rack-scale AI orchestration, and data center best practices.
 
 
 
 </li>
 </ul>
 
 
 Minimum Qualifications
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or related field.
 </li>
 <li>
 5+ years of software engineering experience; 3+ years in ML or HPC environments.
 </li>
 <li>
 Strong programming skills in Python, Rust/Go, and TypeScript, with solid software development fundamentals.
 </li>
 <li>
 Deep understanding of data structures and algorithms in distributed systems and high-performance computing contexts.
 </li>
 <li>
 Hands-on experience with Kubernetes, Helm, Prometheus/OpenTelemetry, and Ansible/Terraform.
 </li>
 <li>
 Practical experience with LLM runtimes, agent frameworks, and rack-scale orchestration.
 
 
 
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Computer Science, Machine Learning, or related field.
 </li>
 <li>
 Experience building inference and fine-tuning pipelines, as well as agentic workflows.
 </li>
 <li>
 Knowledge of data centre resource lifecycle management, out-of-band protocols (Redfish/IPMI), and MAAS/OpenStack.
 </li>
 <li>
 Exposure to scale-up data centre networking technologies (RoCE/RDMA/NVLink).
 </li>
 <li>
 Contributions to inference and GenAI model performance optimization.
 
 
 
 </li>
 </ul>
 
 
 What's On Offer
 
 
 
 
 Apart from working with great people, we offer the below:
 
 
 <ul>
 <li>
 Salary including housing &amp; transport allowance
 </li>
 <li>
 Stock (RSU's) and performance related bonus
 </li>
 <li>
 16 weeks fully paid Maternity Leave
 </li>
 <li>
 6 weeks fully paid Paternity Leave
 </li>
 <li>
 Employee stock purchase scheme
 </li>
 <li>
 Child Education Allowance
 </li>
 <li>
 Relocation and immigration support (if needed)
 </li>
 <li>
 Life and Medical Insurance
 </li>
 <li>
 Live+ Well Reimbursement for health and recreational membership fees
 
 
 
 </li>
 </ul>
 
 
 Minimum Qualifications:
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
 
 
 
 </li>
 </ul>
 OR
 
 
 Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
 
 
 OR
 
 
 PhD in Engineering, Information Systems, Computer Science, or related field.
 
 
 <ul>
 <li>
 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
 </li>
 <li>
 References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
 
 
 
 </li>
 </ul>
 Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
 
 
 Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
 
 
 
 To all Staffing and Recruiting Agencies
 
 : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
 
 
 If you would like more information about this role, please contact Qualcomm Careers.
</div>

Full Stack Machine Learning Engineer (Datacentre AI Engineering) - Riyadh, KSA

Datamatics Global Services Ltd

<div>Position Title : AI/ML Engineer &ndash; Agentic AI 
Experience Required: 4&ndash;6 Years (Should be open to Travel) 
Employment Type : Full-Time - Riyadh - Onsite 
 
Job Overview 
We are seeking a highly skilled AI/ML Engineer with hands-on experience in building intelligent AI systems, machine learning models, and Agentic AI solutions. The ideal candidate will have strong expertise in designing, developing, and deploying AI-powered applications leveraging LLMs, autonomous agents, orchestration frameworks, and modern ML techniques. 
The role requires a strong engineering mindset, practical AI implementation experience, and the ability to work across the full AI/ML lifecycle from experimentation to production deployment. 
 
Key Responsibilities<ul><li>
Design, develop, and deploy AI/ML solutions for real-world business use cases.</li><li>
Build and optimize Agentic AI systems using LLMs, autonomous workflows, and multi-agent architectures.</li><li>
Develop machine learning models for prediction, classification, recommendation, NLP, and automation tasks.</li><li>
Work with orchestration frameworks such as LangChain, CrewAI, AutoGen, LangGraph, or similar technologies.</li><li>
Integrate AI agents with APIs, databases, enterprise systems, and third-party tools.</li><li>
Fine-tune, evaluate, and optimize Large Language Models (LLMs).</li><li>
Develop Retrieval-Augmented Generation (RAG) pipelines and vector search implementations.</li><li>
Collaborate with data engineers, software developers, and product teams to deliver scalable AI solutions.</li><li>
Perform prompt engineering, model experimentation, and performance optimization.</li><li>
Ensure AI solutions are production-ready, scalable, secure, and cost-efficient.</li><li>
Monitor model performance, drift, and continuous improvement processes.</li><li>
Stay updated with emerging AI, Generative AI, and Agentic AI trends and technologies.</li></ul>
Required Skills &amp; Expertise<ul><li>
Strong hands-on experience in Machine Learning, Generative AI, and Agentic AI development.</li><li>
Proficiency in Python and AI/ML development frameworks.</li><li>
Experience with:<ul><li>
LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks</li><li>
OpenAI, Anthropic, Gemini, or open-source LLMs</li><li>
RAG architectures and Vector Databases</li><li>
Prompt Engineering &amp; AI workflow automation</li></ul></li><li>
Solid understanding of:<ul><li>
NLP concepts</li><li>
ML algorithms and model evaluation</li><li>
Deep Learning fundamentals</li><li>
AI model deployment and inference optimization</li></ul></li><li>
Experience with ML libraries/frameworks such as:<ul><li>
PyTorch</li><li>
TensorFlow</li><li>
Scikit-learn</li><li>
Hugging Face Transformers</li></ul></li><li>
Experience with cloud platforms such as Azure, AWS, or GCP is preferred.</li><li>
Familiarity with Docker, APIs, CI/CD, and MLOps practices.</li><li>
Strong problem-solving and analytical skills.</li></ul>
Preferred Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>
Experience working on enterprise AI automation or AI assistant platforms is highly preferred.</li><li>
Exposure to AI governance, evaluation frameworks, and AI observability tools is a plus.</li></ul> 

tTAmIvfFVv</div>

AI/ML Engineer – Agentic AI

MASTER-WORKS

<div>Our subsidiary (Nabeh) is seeking for an experienced and highly skilled Software Testing, Junior Engineer. Responsible for supporting QA activities by executing test cases, identifying defects, and ensuring adherence to defined quality standards under supervision.
Key Responsibilities<ul><li>
Execute test cases and document results</li><li>
Assist in preparing:</li><li><ul><li>
Test scenarios</li><li>
Test data</li></ul></li><li>
Perform:</li><li><ul><li>
Functional and basic integration testing</li><li>
Basic API testing (Postman)</li></ul></li><li>
Support validation of application behavior and basic AI outputs</li><li>
Log and track defects with clear evidence</li><li>
Participate in regression and smoke testing cycles</li><li>
Follow QA standards, processes, and guidelines</li><li>
Collaborate with team members for issue resolution</li></ul>
Requirements<ul><li>
1&ndash;3 years of experience</li><li>
Arabic Speaker (Mandatory)</li><li>
Basic understanding of software testing concepts</li><li>
Familiarity with test case writing and defect tracking</li><li>
Basic exposure to API testing tools (preferred)</li><li>
Willingness to learn automation and AI testing concepts</li><li>
Experience in Agile (preferred)</li></ul>
Certifications<ul><li>
ISTQB CTFL (Mandatory)</li></ul>
Language<ul><li>
Arabic (Native) &amp; English (Fluent)</li></ul>
Job Location: HQ</div>

Software Testing, Junior Engineer

<div>Business Unit: Nabeh
Job Location: HQ
Job Purpose
Our subsidiary Nabeh is seeking for an experienced and highly skilled Software Testing, Senior Engineer. Responsible for designing, executing, and optimizing testing activities across AI and digital systems, ensuring high-quality delivery and supporting automation and performance initiatives.
Key Responsibilities<ul><li>
Design and maintain:
</li><li><ul><li>Test cases, test scenarios, and test data
</li></ul></li><li>Execute:
</li><li><ul><li>Functional, system, and integration testing
</li><li>API testing (Swagger, Postman)
</li></ul></li></ul><ul><li>Develop and maintain automation scripts (Selenium, Robot, SHAFT)
</li><li>Support performance testing execution (JMeter, Locust, Gatling, k6)
</li><li>Perform database validation and data consistency checks
</li><li>Validate AI outputs against defined scenarios and expected behavior
</li><li>Log, track, and manage defects with proper documentation
</li><li>Prepare test reports and execution evidence
</li><li>Collaborate with development, data, and AI teams
</li><li>Mentor and guide junior engineers
</li></ul>Qualifications &amp; Requirements<ul><li>
4&ndash;6+ years of QA experience
</li><li>Arabic Speaker (Mandatory)</li><li>
Strong hands-on experience in:
</li><li><ul><li>Test case design &amp; execution
</li><li>API and database testing
</li></ul></li></ul><ul><li>Working knowledge of automation frameworks
</li><li>Good understanding of performance testing concepts
</li><li>Exposure to AI systems or data-driven platforms (preferred)
</li><li>Experience in Agile environments
</li></ul>Certifications<ul><li>
ISTQB CTFL (Mandatory)
</li><li>ISTQB CTFL-AT (Preferred)
</li></ul>Language<ul><li>
Arabic (Native) &amp; English (Fluent)</li></ul></div>

Software Testing, Senior Engineer

Tamara

<div>About Us

Tamara is the leading fintech platform in Saudi Arabia and the wider GCC region with a mission to help people make their dreams come true by building the most customer-centric financial super-app on earth. The company serves millions of users in the region and partners with leading global and regional brands such as SHEIN, Jarir, noon, IKEA and Amazon, as well as small and medium businesses.

Tamara is Saudi Arabia&rsquo;s first fintech unicorn and is backed by Sanabil Investments, a wholly owned company by the Public Investment Fund (PIF), SNB Capital, Checkout.com, amongst others. The company operates from its headquarters in Riyadh, with additional regional and global support offices.

Your role 
 
We're seeking an IT Helpdesk Engineer to join our team. As an IT Helpdesk Engineer, you will play a vital role in supporting Tamara&rsquo;s technology environment, ensuring team members have a seamless and secure experience across hardware, software, and collaboration tools. You will be the go-to person for resolving technical issues, managing assets, and supporting new technology rollouts&mdash;contributing to a scalable and secure IT infrastructure. 
You are a problem solver, empathetic communicator, and team player who thrives in a fast-moving environment. You bring a hands-on approach to IT support while building strong foundations for a growing team. 
You are also excited by the possibilities of AI in IT support &mdash; from automating common troubleshooting steps to improving response times and self-service capabilities using tools like ChatGPT, Google Gemini, and other AI-powered assistants. You constantly explore how AI can improve day-to-day IT operations and reduce manual workloads.

Your responsibilities
<ul>
<li>Set up new hire computers and ensure appropriate systems access is available by their first day.</li>
<li>Provide general helpdesk support for all company systems, including laptops, Google Workspace, Slack, video conferencing tools, and networked printers.</li>
<li>Manage and support virtual and physical conferencing setups (webcams, headsets, conference phones) and virtual meeting platforms (Google Meet, Zoom, MS Teams).</li>
<li>Administer enterprise software and productivity tools, including user creation, access control, and identity management.</li>
<li>Maintain IT hardware inventory and manage the procurement process of tech equipment.</li>
<li>Lead IT onboarding sessions for new employees to ensure a smooth tech start.</li>
<li>Implement and optimize IT systems and processes with a focus on operational efficiency and data security.</li>
<li>Drive the rollout and implementation of new tools, systems, and technologies.</li>
<li>Manage vendor relationships, oversee licensing needs and ensure efficient usage.</li>
<li>Document all IT-related activities and build internal knowledge bases and guides.</li></ul> 
 
Your Expertise 
<ul>
<li>2&ndash;4 years of IT helpdesk or IT support experience.</li>
<li>Experience supporting Google Workspace, Slack, and standard business software applications.</li>
<li>Familiarity with conferencing tools like Google Meet, Zoom, and MS Teams.</li>
<li>Working knowledge of identity and access management best practices.</li>
<li>Prior experience in IT hardware asset management and procurement.</li>
<li>Ability to manage onboarding/offboarding processes efficiently.</li>
<li>Comfortable working in both in-person and remote support scenarios.</li>
<li>Strong communication skills and a proactive, customer-focused mindset.</li>
<li>Experience documenting IT processes and building help guides is a plus.</li></ul></div>

IT Helpdesk Engineer

<div>
 
 Company
 
 
 
 Qualcomm Middle East Information Technology Company LLC
 
 
 
 Job Area
 
 
 
 Engineering Group, Engineering Group &gt; Software Engineering
 
 
 
 General Summary
 
 
 
 
 About Us
 
 
 
 Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including intelligent edge devices, next-generation computing platforms, and advanced AI solutions. Qualcomm&rsquo;s leadership in AI, high‑performance compute, and connectivity is driving innovation across cloud, edge, and data center environments - delivering scalable, power‑efficient platforms that power the next generation of intelligent infrastructure.
 
 
 
 About The Role
 
 
 
 Qualcomm is seeking
 
 Machine Learning Applications Engineer &ndash; AI Inference &amp; Model Optimization
 
 to support the enablement of rack-scale deep learning workloads on advanced Qualcomm AI inference accelerators. These accelerators utilize Qualcomm's expertise in hardware-accelerated AI to deliver high-performance, energy-efficient generative AI and computer vision inference solutions for modern data centers.
 
 
 This is a
 
 customer
 
 ‑
 
 facing, highly technical role
 
 focused on
 
 porting, optimizing, and validating deep learning AI models
 
 on production systems, and enabling Qualcomm&rsquo;s partners to develop and deploy advanced machine learning applications - including computer vision, speech, generative AI and state of the art multimodal reasoning models - using popular frameworks such as PyTorch, TensorFlow, and ONNX on Qualcomm Cloud AI accelerators. Key responsibilities include evaluating models for throughput, latency, and accuracy; profiling and optimizing model performance; building robust application pipelines; integrating customer frameworks; and contributing to documentation, training, and demonstrations.
 
 
 The role requires strong expertise in AI models, quantization, performance optimization, and deployment, plus the ability to shape architecture, workload sizing, and system design. It also requires experience with deep learning model development across hardware platforms, solid programming skills, collaboration with cross-functional teams, and proficiency in machine learning frameworks, Linux, and container orchestration tools.
 
 
 The ideal candidate can effectively
 
 bridge AI model requirements &harr; hardware capabilities &harr; customer expectations
 
 , guiding customers from
 
 model selection &rarr; hardware sizing &rarr; deployment decisions &rarr; production readiness.
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 AI Model Porting &amp; Optimization
 </li>
 <li>
 Deploy, optimize and scale deep learning AI models onto accelerator‑based data center platforms, including:
 </li>
 <li>
 Model conversion workflows
 </li>
 <li>
 Quantization techniques (INT8 / mixed precision)
 </li>
 <li>
 Runtime integration and optimization
 </li>
 <li>
 Integrate ML models onto Qualcomm&rsquo;s Cloud AI ML stack from frameworks such as PyTorch, TensorFlow, and ONNX.
 </li>
 <li>
 Drive improvements in model throughput, latency, and accuracy, with clear trade‑off analysis.
 </li>
 <li>
 Build, test, and deploy scalable inference pipelines using serving frameworks such as vLLM, TGI, and Triton.
 </li>
 <li>
 Optimize workloads for LLM and GenAI models across both multi-SoC and multi-card architectures.
 </li>
 <li>
 Collaborate with engineering teams to analyze and refine training and inference for advanced deep learning applications.
 </li>
 <li>
 Identify bottlenecks across compute, memory, and runtime, and guide optimization strategies.
 </li>
 <li>
 Contribute to Qualcomm&rsquo;s Cloud AI GitHub repository and developer documentation, sharing technical best practices and solutions.
 </li>
 <li>
 Develop and integrate end-to-end ML application pipelines with customer frameworks and libraries.
 </li>
 <li>
 Customer‑Facing Technical Engagement
 </li>
 <li>
 Act as a trusted technical advisor for customers deploying AI workloads.
 </li>
 <li>
 Engage in hardware sizing and architecture discussions, aligning model requirements with infrastructure capabilities.
 </li>
 <li>
 Provide technical guidance on:
 </li>
 <li>
 AI model selection
 </li>
 <li>
 Deployment feasibility
 </li>
 <li>
 System architecture and performance expectations
 </li>
 <li>
 Lead discussions on model capabilities and limitations based on real customer use cases.
 </li>
 <li>
 Model&ndash;Infrastructure Alignment
 </li>
 <li>
 Assess and evaluate AI model requirements and recommend alternative model approaches when necessary.
 </li>
 <li>
 Align model characteristics (latency, throughput, accuracy) with accelerator and system capabilities.
 </li>
 <li>
 Connect model requirements with:
 </li>
 <li>
 Memory constraints
 </li>
 <li>
 Accelerator architecture
 </li>
 <li>
 Scaling limitations
 </li>
 <li>
 Support customers in defining model selection strategies based on deployment realities.
 </li>
 <li>
 Performance &amp; Scalability Engineering
 </li>
 <li>
 Evaluate performance characteristics of AI models in production scenarios, including:
 </li>
 <li>
 Throughput expectations
 </li>
 <li>
 Latency targets
 </li>
 <li>
 Concurrency behavior
 </li>
 <li>
 Guide architecture decisions around:
 </li>
 <li>
 Scaling strategies (horizontal vs vertical)
 </li>
 <li>
 Hardware deployment sizing
 </li>
 <li>
 Contribute to discussions on:
 </li>
 <li>
 Workload scalability limits
 </li>
 <li>
 Impact of model selection on system performance and efficiency
 </li>
 <li>
 Provide insights into capacity planning and infrastructure optimization.
 </li>
 <li>
 End‑to‑End AI Pipeline Design
 </li>
 <li>
 Drive discussions around end‑to‑end AI pipelines, including:
 </li>
 <li>
 Multi‑model workflows (e.g., detection + tracking + recognition)
 </li>
 <li>
 Data preprocessing and post‑processing stages
 </li>
 <li>
 Guide decisions on video and data processing stacks, including:
 </li>
 <li>
 Video pipeline choices (e.g., FFMPEG vs GStreamer)
 </li>
 <li>
 Integration into inference pipelines
 </li>
 <li>
 Ensure pipelines are aligned with:
 </li>
 <li>
 Performance requirements
 </li>
 <li>
 Hardware capabilities
 </li>
 <li>
 Real‑time constraints
 </li>
 <li>
 Model Trade‑off Analysis &amp; Validation
 </li>
 <li>
 Highlight and explain trade‑offs between:
 </li>
 <li>
 Accuracy vs compatibility
 </li>
 <li>
 Model quality vs deployment feasibility
 </li>
 <li>
 Support decision‑making on:
 </li>
 <li>
 Model simplification vs performance gains
 </li>
 <li>
 Precision vs efficiency trade‑offs
 </li>
 <li>
 Lead or support model capability validation in deployment environments.
 </li>
 <li>
 Collaborate with customers to define:
 </li>
 <li>
 Inference assumptions
 </li>
 <li>
 Model sizing strategies for large‑scale workloads
 
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
 </li>
 <li>
 10&ndash;15+ years of experience in:
 </li>
 <li>
 Deep learning model development or deployment experience on CPUs/GPUs/ASICs.
 </li>
 <li>
 Inference systems and optimization
 </li>
 <li>
 Data center or edge AI platforms
 </li>
 <li>
 Strong experience with:
 </li>
 <li>
 Model quantization and optimization techniques
 </li>
 <li>
 AI model frameworks (e.g., PyTorch, TensorFlow)
 </li>
 <li>
 Model deployment pipelines
 </li>
 <li>
 Excellent C/C++/Python programming and software design skills, including debugging, and performance analysis.
 </li>
 <li>
 Hands on expertise with Linux-based systems, low level software, drivers, and system bring up.
 </li>
 <li>
 Proven ability to analyze and optimize model performance in production environments.
 </li>
 <li>
 Solid understanding of:
 </li>
 <li>
 AI inference hardware constraints
 </li>
 <li>
 System level performance bottlenecks
 </li>
 <li>
 Strong communication skills and experience in customer facing technical roles.
 </li>
 <li>
 Willingness to travel for customer engagements and strategic reviews.
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Skilled in deploying models on platforms that use hardware accelerators for inference.
 </li>
 <li>
 Experienced with managing multi-model workflows and building real-time AI systems, including computer vision, video, and analytics projects.
 </li>
 <li>
 Knowledgeable about distributed inference methods and handling large-scale model deployments.
 </li>
 <li>
 Proficient in developing and maintaining video processing workflows and using relevant software frameworks.
 </li>
 <li>
 Deep understanding of how system-level decisions affect performance in actual deployment environments.
 </li>
 <li>
 Capable of simplifying complex technical ideas into straightforward, useful advice for clients.
 </li>
 <li>
 Hands-on experience running deep learning models on popular ML frameworks such as PyTorch, TensorFlow, ONNX
 </li>
 <li>
 Experience developing software solutions that run in Linux environments with containers and orchestration
 </li>
 <li>
 Experience with Source code and configuration management tools, Git knowledge is required.
 </li>
 <li>
 Customer-facing experience translating customer requirements into technical solutions (discovery, scoping, success criteria, and execution plans).
 </li>
 <li>
 Proven ability to build and deliver technical demos, proofs-of-concept, and reference applications for ML/GenAI workloads.
 </li>
 <li>
 Strong technical writing skills to produce customer-ready documentation (getting started guides, deployment runbooks, troubleshooting guides) and deliver partner training sessions.
 </li>
 <li>
 Experience driving issue triage and technical escalations with customers, coordinating across product, hardware, and software engineering teams to resolution.
 </li>
 <li>
 Excellent stakeholder management and communication skills: present complex technical concepts clearly to both engineering and non-engineering audiences.
 
 
 
 </li>
 </ul>
 
 Why Join Qualcomm
 
 
 
 At Qualcomm, you&rsquo;ll work at the intersection of
 
 AI silicon, system architecture, and real
 
 ‑
 
 world deployment
 
 . You will engage directly with strategic customers, influence next‑generation AI data center platforms, and help define scalable, power‑efficient infrastructure for the AI era. This role provides a unique opportunity to shape both
 
 technology direction and customer outcomes
 
 , while working with world‑class engineering and product teams.
 
 
 
 What's On Offer
 
 
 
 Apart from working with great people, we offer the below:
 
 
 <ul>
 <li>
 Salary including housing &amp; transport allowance
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 Stock (RSU's) and performance related bonus
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 <li>
 16 weeks fully paid Maternity Leave
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 <li>
 6 weeks fully paid Paternity Leave
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 Employee stock purchase scheme
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 <li>
 Child Education Allowance
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 Relocation and immigration support (if needed)
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 <li>
 Life and Medical Insurance
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 <li>
 Live+ Well Reimbursement for health and recreational membership fees
 
 
 
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 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience.
 
 
 
 </li>
 </ul>
 OR
 
 
 Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Engineering or related work experience.
 
 
 OR
 
 
 PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
 
 
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 <li>
 3+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
 </li>
 <li>
 References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
 
 
 
 </li>
 </ul>
 Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
 
 
 Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
 
 
 
 To all Staffing and Recruiting Agencies
 
 : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
 
 
 If you would like more information about this role, please contact Qualcomm Careers.
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