applications engineer

<div>
 
 Overview
 
 
 
 QSC thrives where innovative technology and compelling audio-visual experiences intersect. For over 50 years, QSC has pioneered the technology and solutions that enable immersive cinema, live performance audio, themed entertainment, digital collaboration and meeting experiences for our customers and partners around the world. A globally recognized innovator in the design, engineering, and manufacture of category leading high-performance loudspeakers, digital mixers, power amplifiers, audio processors, digital cinema solutions, and the Q-SYS&trade; software-based audio, video and control Ecosystem.
 
 
 By joining QSC, you will be in a challenging, collaborative, fun, and innovative environment. We encourage employees to take ownership, to color outside the lines, and to imagine possibilities. Our culture is casual but dynamic, with cross-functional teams collaborating on creating memorable audio-visual experiences that deliver joy to people, wherever they are. At QSC, fun and hard work go hand in hand. Join us and make a difference in the way people experience movies, meetings, presentations, live performances, and much more.
 
 
 To strengthen our MEA team in Saudi Arabia, we are looking for a full-time:
 
 
 
 Applications Engineer Saudi Arabia (m/f/d)
 
 
 
 
 Responsibilities
 
 
 
 In the role of Applications Engineer, your role is to support and deliver the highest quality technical support to the MEA systems integrators, consultants and end users. Providing hardware and software application support as well as supporting the team in delivering the training curriculum for Qsys and other specialist QSC platforms. The focus of your work is in the following areas:
 
 
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 Provide applications support and QSC Training content to the MEA market.
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 Ensure the highest level of customer experience whilst identifying solutions to software and hardware issues.
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 Diagnose and troubleshoot technical issues, including programming, commissioning and network configuration.
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 Track and monitor system issues through to resolution, within agreed time limits.
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 Properly escalate unresolved issues to appropriate internal teams (e.g. product managers).
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 Provide prompt and accurate feedback to customers whilst ensuring all issues are logged and accordingly.
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 Manage the follow up procedure to ensure systems are fully functional after troubleshooting.
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 Document technical knowledge in the form of notes and manuals.
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 Maintain and build an excellent relationship with customers and end users.
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 In conjunction with the product development teams participate in market research, competitor and customer surveys.
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 Liaise and attend meetings with other company functions necessary to perform duties and aid business and organisational development.
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 Attend industry training and develop relevant knowledge and skills to enhance performance.
 
 
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 Qualifications
 
 
 
 
 Your profile
 
 
 
 <ul>
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 Education to degree level or qualification in industry relevant field such as sound engineering
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 Proven work experience as a Technical Support Engineer, installation Engineer, Commissioning Technician or similar role
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 Strong experience in supporting audio visual or IT infrastructure services is key
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 Commercially astute with the ability to understand a complex sales process
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 Proven expertise managing complex systems within a corporate AV/IT environment
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 Supported products and services NOT exclusively based on hardware
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 Supported products and services to Tier 1 integrators and end users
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 Capable of working with Visio and Autocad, as well as EASE Focus/Address.
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 Well organised to manage conflicting priorities
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 Excellent problem-solving skills individually and as part of a team
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 Strong people management and leadership skills
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 Confident and engaging presentation skills
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 Excellent communication skills &ndash; with the ability to translate technical information for all types of audiences
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 Excellent communication skills (both verbal and written)
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 Fluent English language skills (both verbal and written)
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 Fluent Arabic language skills (both verbal and written) would be an additional benefit
 
 
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 </ul>
 
 We offer
 
 
 
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 A varied task in an internationally very successful company
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 The opportunity to actively shape a global company
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 An attractive salary package
 
 
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 Have we aroused your interest?
 
 We look forward to receiving your application!
</div>

Applications Engineer Saudi Arabia

POMO Robotics

Sales Engineer (Robotics &amp; Automation) - GCC Nationals Only The Role: High-Stakes, Technical ImpactWe are looking for a Sales Engineer who thrives in high-pressure environments and is motivated by a performance-based compensation structure. This is not a &quot;desk job.&quot; You will be the technical face of our company, responsible for bridging the gap between sophisticated robotic hardware and the complex operational needs of our clients.If you are a problem-solver who enjoys the thrill of the &quot;technical win&quot; and wants to see a direct correlation between your expertise and your paycheck, this is your role.We are looking for Sales Engineer at the moment on a temporary contract to field test the sale of robotic automation solutions for capex projects. We are looking for a suitable representative who can spearhead our establishment in the region for automation and robotics.Key Responsibilities<ul><li>Networking and Cold Reach: We are looking for strong salesman with experience of cold calling, arranging site visits, being lean in their sales process, actively pursuing leads in the region and pushing for close. Being able to sell robotic automation solutions is a complex task and requires speed, accuracy and targeted outreach.</li><li>Technical Closing: Partner with Account Executives to lead deep-dive technical evaluations. You own the &quot;Technical Win&quot;&mdash;ensuring the customer is convinced that our solution is the only one that works for their specific environment.</li><li>Rapid Discovery &amp; Scoping: Conduct high-intensity site surveys. You must be able to walk a factory floor or warehouse and quickly identify throughput bottlenecks, safety risks, and integration hurdles.</li><li>Proof of Concept (PoC) Ownership: Manage short-timeline, high-pressure pilot programs. You are responsible for the setup, troubleshooting, and success of live demos where failure is not an option.</li><li>ROI-Driven Proposals: Develop technical bids and CAD layouts that don't just show &quot;how&quot; the robot works, but &quot;how much&quot; money it saves the client.</li><li>Field-to-Engineering Pipeline: Act as a critical filter. You must deliver aggressive, accurate feedback to the product team to ensure our hardware survives real-world stress tests.</li></ul>.Experience &amp; Qualifications<ul><li>2 years of experience in Sales Engineering or Field Applications within robotics, industrial automation, or heavy hardware.</li><li>Some experience of working with collaborative, industrial or SCARA robots in industrial settings</li><li>Experience in machine tending, welding, packaging, pick and place applications and dealing with site visits and engineering works</li><li>Capable of completing site surveys and handling multiple leads at the same time</li><li>Degree in Mechanical, Electrical, or Robotics Engineering</li></ul>Compensation &amp; Perks<ul><li>Competitive Base + Aggressive Commission: We offer a healthy commission structure with uncapped upside. When the company wins big, you win big.</li><li>Performance Accelerators: Tiered bonuses for exceeding quarterly technical win targets.</li><li>Direct Impact: You aren't a cog in a machine; you are the one deploying the machines. Your work directly dictates our revenue growth.</li></ul>Pay: ﷼8,000.00 - ﷼8,500.00 per monthEducation:<ul><li>Bachelor's (Preferred)</li></ul>Willingness to travel:<ul><li>75% (Preferred)</li></ul>Work Location: In person

Robotic & Automation Sales Engineer (Co Founder)

FileCloud

<div>FileCloud is looking for a highly skilled Senior Software Engineer, Client Applications, to join our team in Riyadh, the Kingdom of Saudi Arabia. You will work on the core sync and OS integration layer of FileCloud Desktop. Your primary focus will be system-level development on Windows using modern C++ (C++17 and higher) and a strong understanding of Windows internals, filesystems, and OS integration. You will design and implement core sync and filesystem logic, integrate with Explorer, and collaborate closely with QA and UI teams. This role is fully office-based and will require working in our KSA office with other members of the remote FileCloud team.

About the Product &amp; Company:
FileCloud is a hyper-secure EFSS (enterprise file sync and share) platform that provides industry leading compliance, data governance, data leak protection, data retention and digital rights management capabilities. FileCloud is a leader in content governance and collaboration for unstructured data, trusted and used worldwide across Global 1000 enterprises, educational institutions, government organizations, and service providers. In addition to its enterprise file sharing solution, FileCloud&rsquo;s product portfolio also includes Signority (acquired in May 2024), a Canadian-based e-signature and document workflow platform. We are currently expanding our team as we grow and improve FileCloud.
Key Responsibilities:
<ul><li>Design, implement, and maintain system-level components for FileCloud Desktop on Windows in modern C++ (C++17 and higher).
</li><li>Work with Win32/WinRT, the Windows Cloud Files API (CFAPI), and our custom driver to handle filesystem events, placeholders, hydration/dehydration, and user actions.
</li><li>Implement and maintain gRPC services and clients (and JSON/REST-style APIs where applicable) that connect system components to higher-level layers (Electron/TypeScript UI, server-side services).
</li><li>If you have macOS experience, contribute to macOS system components in Swift using Apple File Provider and Endpoint Security/ESClient.
</li><li>Develop and maintain unit tests (gtest) and integration tests (Python + pytest) to build and extend automated coverage.
</li><li>Integrate with File Explorer for overlays, context menus, and other shell extensions, including COM where needed.
</li><li>Use tools like Visual Studio, WinDbg, and Procmon to debug complex issues in production-like environments.
</li><li>Contribute to build and CI/CD pipelines (e.g., Jenkins, WiX for installers, vcpkg for dependencies, PowerShell scripts where helpful).
</li><li>Strong commercial experience with modern C++ (C++17 and higher).
</li><li>Solid knowledge of Windows internals: processes, C++ threading primitives (e.g. std::thread, std::mutex), synchronization, I/O, memory, security.
</li><li>Hands-on experience with Win32 APIs and willingness to work with WinRT as needed.
</li><li>Experience with multithreaded and asynchronous code.
</li></ul>Key Skills &amp; Experience:
Modern C++ / Windows system programming
<ul><li>Strong commercial experience with modern C++ (C++17 and higher).
</li><li>Solid knowledge of Windows internals: processes, C++ threading primitives (e.g. std::thread, std::mutex), synchronization, I/O, memory, security.
</li><li>Hands-on experience with Win32 APIs and willingness to work with WinRT as needed.
</li><li>Experience with multithreaded and asynchronous code.
</li></ul>Filesystems, sync &amp; networking
<ul><li>Good understanding of filesystem behavior: notifications, caching, metadata, locking, renames, symlinks/junctions.
</li><li>Experience in or strong interest in sync/backup clients, cloud storage, or related areas.
</li><li>Familiarity with networked applications (HTTP/HTTPS, TLS, proxies) from a developer perspective.
</li></ul>APIs, testing &amp; debugging
<ul><li>Experience with RPC / typed APIs (e.g. gRPC, JSON/REST, or similar) and willingness to work with gRPC daily.
</li><li>Hands-on experience writing automated tests: unit tests in gtest and integration tests in Python + pytest.
</li><li>Strong debugging skills on Windows using Visual Studio and system tools (WinDbg, Procmon, logs).
</li></ul>Collaboration &amp; work style
<ul><li>Ability to work independently and take ownership of complex subsystems.
</li><li>Comfortable using AI coding assistants (e.g. Claude Code, GitHub Copilot, Cursor, or similar) as part of a daily development workflow - for code generation, review, debugging, and documentation.
</li><li>Comfortable collaborating with UI (Electron/TypeScript/Vue), QA, and backend engineers.
</li><li>Good communication skills in English and prior experience in a remote or distributed team.
</li></ul>Nice-to-have / Learn-on-the-job
<ul><li>Experience with the Windows Cloud Files API (CFAPI) or other virtual filesystem/sync APIs.
</li><li>Experience building installers with the WiX Toolset.
</li><li>Familiarity with vcpkg for C++ dependency management.
</li><li>Experience with COM APIs for shell integration.
</li><li>Familiarity with large language model APIs (e.g. OpenAI, Anthropic) or machine learning concepts as background knowledge; awareness of how AI-assisted tooling is reshaping systems development workflows.
</li><li>macOS system development in Swift using Apple File Provider and Endpoint Security/ESClient.
</li><li>Experience with Jenkins or similar CI systems.
</li><li>Scripting skills in PowerShell (and/or basic shell scripting on macOS/Linux).
</li><li>Background in cloud storage, sync clients, security/endpoint products, or distributed systems.
</li><li>Awareness of security best practices when working at the OS and filesystem layer.
</li></ul>If you meet most of the core requirements but not everything on the &ldquo;nice-to-have&rdquo; list, we still encourage you to apply.
What We Offer
<ul><li>Be part of a team of passionate, committed individuals dedicated to building a world-class product
</li><li>Dedicated time for training and education opportunities
</li><li>A mentorship model wherein your mentor and team support your development
</li><li>A competitive salary with an annual bonus
</li><li>Onsite work with flexible hours that fall outside of the companywide core hours of 9am -12pm (US Eastern Standard Time
</li><li>20 days of paid time off which increases by a further 2 days after 3 years of service and 3 days after 5 years of service (in addition to 10 public holidays in your country)
</li><li>Paid day off on your birthday or on an alternative day if your birthday falls outside a normal working day
</li><li>Paid day off to volunteer with the charity of your choice
</li><li>Paid monthly internet cost, as well as lunch and wellbeing stipend provided
</li><li>Reimbursement of all hardware costs associated with the role</li>
</ul>
Please note that we conduct background security checks for everyone joining our team.</div>

Senior Software Engineer, Client Applications (Riyadh, KSA)

MASTER-WORKS

<div>This is a highly skilled Machine Learning Engineer to design, build, deploy, and scale machine learning models that power data-driven products and intelligent systems. This role sits at the intersection of data science, software engineering, and MLOps, and requires strong hands-on experience turning models into production-ready solutions, programming experience in Python or R.
<ul><li>Design, develop, train, and optimize machine learning models for real applications or use cases.</li><li>
Translate business and product requirements into scalable ML/AI solutions.
</li><li>Implement feature engineering, model selection, tuning, and evaluation techniques.
</li><li>Develop , and deploy ML models into production environments with high availability and performance.</li><li>
Build and maintain ML pipelines (training, validation, deployment, monitoring).
</li><li>Monitor model performance, data drift, and model decay; retrain models as needed.
</li><li>Ensure models meet reliability, scalability, and security standards.
</li><li>Work closely with Data Scientists, Product Managers, and Software Engineers.
</li><li>Collaborate with data engineering teams to ensure high-quality, reliable data pipelines.</li><li>
Participate in design and code reviews, ensuring engineering best practices.
</li><li>Optimize models for latency, throughput, and cost.
</li><li>Implement experimentation frameworks (A/B testing, offline evaluation).
</li><li>Apply responsible AI principles, including fairness, explainability, and governance where required.</li></ul> 

Requirements 
<ul><li>
3&ndash;7+ years of hands-on experience in Machine Learning or applied AI roles.</li><li>
Strong programming skills in Python (and/or Java, Scala).
</li><li>Solid understanding of ML algorithms (supervised, unsupervised, deep learning).
</li><li>Experience with frameworks such as TensorFlow, PyTorch, and Scikit-learn.
</li><li>Experience deploying models using Docker, Kubernetes, or cloud ML services.
</li><li>Strong knowledge of data structures, algorithms, and software engineering principles.
</li><li>Experience working in agile, cross-functional teams.</li><li>
Experience with cloud platforms (AWS, Azure, or GCP) and managed ML services.
</li><li>Hands-on experience with MLOps tools (MLflow, Kubeflow, Airflow, SageMaker, Azure ML).
</li><li>Experience with big data technologies (Spark, Kafka, Databricks).
</li><li>Background in NLP, Computer Vision, or Generative AI.
</li><li>Strong problem-solving and analytical thinking
</li><li>Production-first mindset
</li><li>Data-driven decision making
</li><li>High Collaboration and communication skills</li></ul></div>

AI Engineer

<div>Master Works is seeking an AI Engineer with strong generative AI prototyping experience to rapidly turn ideas into working AI-powered demos, proofs of concept, and early-stage products. The role sits between research and production engineering &mdash; combining hands-on use of large language models, multimodal models, retrieval-augmented generation, and agent frameworks to validate feasibility, explore new capabilities, and de-risk feature delivery. The role is central to accelerating AI innovation across the data, analytics, and intelligence portfolio, with a particular emphasis on bilingual (Arabic/English) AI use cases.<ul><li>
Rapidly design and build generative-AI prototypes and proofs of concept &mdash; from initial idea to working demo &mdash; using modern LLM APIs, open-source models, and prototyping frameworks.</li><li>
Design and implement retrieval-augmented generation (RAG) pipelines, including document ingestion, chunking strategies, embedding generation, vector storage, and retrieval orchestration.</li><li>
Build agentic systems that use tool/function calling, planning, and multi-step reasoning to automate complex tasks; integrate AI agents with internal APIs, databases, and external services.</li><li>
Engineer prompts, system instructions, and structured-output schemas; iterate on prompt design through measurable evaluation rather than guesswork.</li><li>
Work with multimodal AI capabilities &mdash; text, vision, speech (STT/TTS), and document understanding &mdash; and combine them into coherent end-to-end AI pipelines.</li><li>
Build and run AI evaluation frameworks (offline benchmarks, LLM-as-judge, golden-set regression testing) to measure quality, accuracy, latency, and cost across model and prompt variants.</li><li>
Adapt and fine-tune open-source models (LoRA, QLoRA, full fine-tuning) when proprietary or domain-specific behaviour is required, especially for Arabic-language tasks.</li><li>
Apply responsible-AI practices &mdash; safety filtering, hallucination mitigation, prompt-injection defence, PII handling, and bias awareness &mdash; especially for sensitive or regulated environments.</li><li>
Hand off mature prototypes to production engineering teams, providing clear documentation, evaluation results, deployment notes, and migration guidance.</li><li>
Demo prototypes and AI capabilities to internal stakeholders and clients; explain technical concepts, limitations, and risks to non-technical audiences.</li><li>
Track and evaluate fast-moving developments in the generative-AI ecosystem (new models, tools, techniques, and providers) and recommend adoption where they materially improve outcomes.</li><li>
Collaborate cross-functionally with product, design, data, and software engineering teams to shape AI features end-to-end and ensure they deliver real user value.</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related discipline.
</li><li>Postgraduate qualification (MSc/PhD) in Machine Learning, Artificial Intelligence, Natural Language Processing, or a related field is preferred.</li><li>
Recognised certifications in machine learning, deep learning, generative AI, or cloud AI platforms (AWS, Azure, GCP) are a strong plus.</li><li>
3&ndash;5+ years of AI/ML engineering experience, with at least 1&ndash;2 years hands-on building generative-AI applications using modern LLMs.</li><li>
Demonstrable portfolio of shipped prototypes or production AI features &mdash; ideally including RAG systems, AI agents, or multimodal pipelines.</li><li>
Hands-on experience with leading LLM APIs (e.g., Anthropic Claude, OpenAI GPT, Google Gemini) and open-source model serving (e.g., Hugging Face, vLLM, Ollama).</li><li>
Strong Python proficiency, including modern AI libraries such as PyTorch, Hugging Face Transformers, LangChain or LlamaIndex, and standard data tooling.</li><li>
Working experience with embedding models, vector databases (e.g., Pinecone, Weaviate, Qdrant, FAISS), and retrieval evaluation techniques.</li><li>
Familiarity with rapid-prototyping tools (Streamlit, Gradio, Jupyter), API integration, and lightweight web back-ends.</li><li>
Experience designing AI evaluation harnesses (offline benchmarks, LLM-as-judge, golden sets) and using observability/tracing tools for AI systems.</li></ul><ul><li>
Exposure to fine-tuning techniques (LoRA, QLoRA, instruction tuning) and to Arabic-language NLP is strongly preferred.</li><li>
Working knowledge of containerisation (Docker), version control (Git), and cloud AI platforms (AWS Bedrock, Azure OpenAI, GCP Vertex AI) is a strong plus.</li><li>
Excellent leadership and team development skills.</li><li>
Strong bias for action and a rapid-prototyping mindset; able to ship a working demo in days, not months.</li><li>
Comfortable working under uncertainty &mdash; rapidly forming hypotheses, running experiments, and iterating based on evidence.</li><li>
Strong analytical and problem-solving skills, with the discipline to evaluate AI behaviour quantitatively rather than relying on intuition alone.</li><li>
Excellent verbal and written communication, with the ability to demo AI capabilities and explain technical concepts, limitations, and risks to non-technical audiences.</li><li>
Curiosity and continuous-learning mindset; actively follows the rapidly evolving generative-AI landscape and brings new ideas back to the team.</li><li>
Collaborative team player; comfortable in cross-functional teams of researchers, software engineers, designers, and client business owners.</li><li>
Cultural awareness and sensitivity, particularly when designing AI experiences for Arabic-speaking users in regional contexts.</li></ul></div>

AI engineer

Qualcomm

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Middle East Information Technology Company LLC
<h2 class="jobSectionHeader">Job Area:
</h2>Engineering Group, Engineering Group &gt; Software Engineering
General Summary:
About Us
<div>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.
</div>About the Role
We are seeking a Staff‑level ML Applications Engineer with deep hands‑on experience in C++/Python‑based AI development in a Linux environment. The ideal candidate operates with a high degree of autonomy, defines technical goals and scope for assigned problem areas, and leads development efforts through execution. This role requires strong analytical skills, effective cross‑team collaboration, and the ability to mentor and guide other engineers by example while remaining hands‑on and execution‑focused.
We are looking for 8+ years Software Engineering or related work experience
Key Responsibilities will include:
<ul><li>Improve and optimize key Deep Learning models on Qualcomm AI 100
</li><li>Build deep learning framework extensions for Qualcomm AI 100 in upstream open-source repositories
</li><li>Collaborate and interact with internal teams to analyze and optimize training and inference for deep learning
</li><li>Build software tools and ecosystem around AI SW Stack.
</li><li>Work on Triton, ExecuTorch, Inductor, TorchDynamo to build abstraction layers for inference accelerator.
</li><li>Optimize workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems
</li><li>Optimize the entire deep learning pipeline including graph compiler integration
</li>Apply knowledge of software engineering best practices. 
<li>
 
 
</li></ul>Desirable Skills and Aptitudes
Required Skills and Aptitude
<ul><li>Deep Learning experience or knowledge &ndash; LLMs, Natural Language Processing, Vision, Audio, Recommendation systems
</li><li>Excellent C/C++ Or Python programming and software design skills, including debugging, performance analysis, and test design.
</li><li>Very strong hold on Pytorch and JIT.
</li><li>Well versed with open-source development practices.
</li><li>Ability to work independently, define requirements and scope, and lead a development effort.
</li><li>Mentors and guides team members through influence and example, without direct people‑management responsibility
</li><li>Avid problem solver &ndash; should be able to find solutions to key engineering and domain problems.
</li><li>Strong developer with a research mindset &ndash; strives to innovate.
</li></ul>Preferred Skills
<ul><li>Experiences to run workloads on large scale heterogeneous clusters is a plus
</li><li>Knowledge of compiler is a plus.
</li><li>Hands-on experience with CUDA, CUDNN is a plus.
</li></ul>Qualifications
<ul><li>Bachelor's / Masters/ PHD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.
</li><li>8+ years Software Engineering or related work experience.
</li><li>2+ years experience with Programming Language such as C++, Python.
</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></ul>*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.
<div>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).
</div>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>

Machine Learning Engineer, Staff level (Datacentre AI Engineering) - Riyadh, KSA

SARJ

<div>Sarj.ai is hiring an AI/ML Engineer to train and deploy speech models that power our voice communications platform. We work in Python and PyTorch on GCP. Strong deep learning fundamentals highly appreciated.<h3 class="jobSectionHeader">
What you'll do</h3><ul><li>
Train large-scale speech models (STT/TTS)</li><li>
Work with modern speech architectures and push them to production</li><li>
Build and maintain ML training pipelines for real-time voice processing</li><li>
Develop evaluation frameworks and improve model performance</li><li>
Collaborate with product and engineering to ship AI-powered features</li></ul><h3 class="jobSectionHeader">
What we're looking for</h3><ul><li>
2+ years working with ML in production</li><li>
Strong Python + PyTorch/PyTorch Lightning</li><li>
Understanding of deep learning fundamentals</li><li>
Experience with speech/audio ML is a strong plus</li><li>
Experience with large-scale or distributed training</li><li>
Familiarity with GCP (Vertex AI, Cloud Run, BigQuery)</li></ul></div>

AI Research Engineer

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