Qureos Mentor

Qualcomm

Join Qualcomm and help us transform 5G’s potential into world-changing technologies and products. Learn about Qualcomm benefits and jobs.

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Technologies, Inc.
<h2 class="jobSectionHeader">Job Area:
</h2>Engineering Group, Engineering Group &gt; Software Engineering
General Summary:
<h1 class="jobSectionHeader">** This position is not eligible for Qualcomm immigration sponsorship. **
</h1>Qualcomm&rsquo;s new Data Center Business Unit (BU) is looking for an experienced Senior Software Engineer to contribute to the design, development, and commercialization of software/firmware solutions for Cloud Edge and Data Center machine learning (ML) use cases running on premium-tier high-performance silicon. You will work closely with internal and cross-functional teams and contribute to the advancement of critical technologies such as ML acceleration, process in memory, memory management and virtualization.
The candidate should have a background in embedded software development such as board support packages (BSP), device driver development, RTOS, secure boot, TrustZone technology, low-speed peripheral interfaces (I2C/SPI/UART), chipset power blocks, clock tree management, PCIe and efficient data movement using DMA
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>Required Skills and Aptitudes
<ul><li>Proficient with development in C including debug and testing, preferably using GNU/LLVM tools, on embedded platforms using stop-mode debug tools such as JTAG/SWD
</li><li>Skilled with BSP development including device driver development, board bring-up, RTOS, secure boot design &amp; TrustZone architecture
</li><li>Experience with development and build tools for applications running within Embedded Linux environment
</li><li>Proficient with unit testing for C development
</li><li>Adept with RTOS fundamentals, SoC architecture (core, cache, memory, bus architecture, IOs, etc.), common hardware blocks and multi-threaded programming
</li><li>Experience with Source Code and Configuration management tools such as git/Gerrit
</li><li>Ability to work in a structured software development environment while contributing to novel designs
</li><li>Have willingness and flexibility to work as part of a high-caliber international/multi-site team
</li><li>Demonstrate excellent English communication skills (written and verbal) and positive interpersonal skills
</li></ul>Desirable Skills and Aptitudes
<ul><li>Familiar with ML frameworks such as PyTorch, JAX and Llama.cpp
</li><li>Familiar with interfaces such as PCIe, LPDDR, USB and UFS
</li><li>Familiar with implementing Reliability, Accessibility and Serviceability (RAS) through use of technologies such as ECC &amp; PCI AER fields
</li><li>Familiar with low-speed interfaces such as I2C, SPI, SPMI, AVSBus &amp; PMBus
</li><li>Familiar working with software running on Qualcomm&rsquo;s QuRT RTOS (ARM Cortex-A CPUs and Hexagon DSPs)
</li><li>Familiar with on-chip Middleware for communication, logging and power control, including Qualcomm&rsquo;s Core SW Infra (e.g., Glink, QDSS, SOC power control algorithms such as DVFS, DCVS)
</li><li>Experience working with microprocessor building blocks like microprocessor execution levels, interrupt controller &amp; timers
</li><li>Software development and debug tools including compilers, profilers, source control systems, emulators, JTAG and serial debuggers, and logic analyzers
</li></ul>Requirements:
<ul><li>2+ years of work experience with low level C programming
</li></ul><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>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.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
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. 
Pay range and Other Compensation &amp; Benefits :
$111,300.00 - $166,900.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer &ndash; and you can review more details about our US benefits at this link .
If you would like more information about this role, please contact Qualcomm Careers .</div>

#Senior Embedded Software Engineer, Cloud Edge and Data Center Machine Learning

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Incorporated
<h2 class="jobSectionHeader">Job Area:
</h2>Operations Group, Operations Group &gt; Project Manager
General Summary:
<div><div>Location: San Diego, CA (Onsite &ndash; 5 days/week)
Immigration Sponsorship: Not eligible for Qualcomm immigration sponsorship 
</div><div>As a global technology leader, Qualcomm enables intelligent computing everywhere from smartphones and PCs to automotive, IoT, networking, and edge AI platforms. Our innovations in high-performance, low-power computing, connectivity, and on-device artificial intelligence (AI) power the products and services shaping the future of technology.
</div><div>Come join the Engineering &amp; Infrastructure Services (EIS) organization at Qualcomm IT. EIS plays a critical role in enabling Qualcomm's business by delivering the infrastructure, platforms, analytics, and services that support engineering innovation, global operations, and enterprise scale. Our teams ensure that Qualcomm employees and partners operate on secure, reliable, and modern infrastructure across on-premises, cloud, and hybrid environments.
</div><div>This role is part of the Project Management Office (PMO) within EIS and supports infrastructure, analytics, and GenAI-enabled initiatives. The IT Project Manager drives planning, coordination, tracking, and execution of IT projects, partnering closely with senior project managers, Scrum teams, and technical leads.
</div><div>The role emphasizes operational execution, Agile delivery, structured project tracking, data-driven insights, and clear stakeholder communication, with hands-on involvement in enterprise infrastructure and emerging AI-enabled workflows in a fast-paced, global technology environment. 
</div><div>GENERAL SUMMARY
</div><div>Serves as the operational backbone for an IT infrastructure team, coordinating day-to-day work, running Agile ceremonies, and keeping cross-functional tasks moving on time. Provides leadership, direction, and coaching to team members on assigned work; communicates expectations, priorities, and status clearly to the team and stakeholders in a timely fashion. Operates effectively in a quickly changing environment, balancing recurring operational rhythms with ad-hoc requests. This role is hands-on with team operations and Agile delivery rather than focused on standalone large-program management.
</div><div>The responsibilities of this role include:
</div><div><ul><li>Working independently with little supervision on recurring team operations.
</li></ul></div><div><ul><li>Taking responsibility for the smooth running of the team's day-to-day delivery cadence; errors may impact team throughput, sprint commitments, or stakeholder confidence.
</li></ul></div><div><ul><li>Using clear written and verbal communication to coordinate across team members, peer teams, and vendors.
</li></ul></div></div><div><div><ul><li>Applying structured problem solving to triage incoming requests, surface blockers, and route issues to the right owner.
</li></ul></div><div><ul><li>Exercising judgment to refine team processes, ceremonies, and tools to improve flow and predictability.
</li></ul></div><div>PRINCIPAL DUTIES AND RESPONSIBILITIES
</div><div><ul><li>Coordinate departmental and cross-functional teams to assign and prioritize tasks, ensuring the right work gets to the right owner with clear expectations and timing.
</li></ul></div><div><ul><li>Provide leadership, direction, and guidance to team members on assigned work; coach the team on Agile practices, ceremony hygiene, and continuous improvement.
</li></ul></div><div><ul><li>Run the team's Agile cadence : daily stand-ups, sprint planning, backlog refinement, sprint reviews, and retrospectives keeping ceremonies focused, time-boxed, and outcome-oriented.
</li></ul></div><div><ul><li>Own backlog hygiene and work intake: capture new requests, ensure stories and tasks have clear acceptance criteria, and maintain prioritization with the team lead.
</li></ul></div><div><ul><li>Track team commitments and execution; surface slipping work early, follow up on open items, and help team members remove blockers.
</li></ul></div><div><ul><li>Maintain operational dashboards (Jira, Azure DevOps, ServiceNow, or equivalent) so leadership and stakeholders can self-serve status.
</li></ul></div><div><ul><li>Manage standing operational rhythms: weekly team meetings, monthly business reviews, quarterly planning inputs, and recurring stakeholder syncs.
</li></ul></div><div><ul><li>Coordinate vendor and contractor task assignments and onboarding/offboarding logistics on behalf of the team.
</li></ul></div><div><ul><li>Make sound day-to-day decisions when faced with multi-faceted issues by weighing risks, urgency, and dependencies; escalate appropriately.
</li></ul></div><div><ul><li>Communicate project and operational expectations to team members and stakeholders in a timely fashion; produce concise written status, risk callouts, and action-item summaries.
</li></ul></div><div><ul><li>Identify process friction and propose pragmatic improvements to improve flow and predictability.
</li></ul></div><div>IT CORE COMPETENCIES
</div><div><ul><li>Accountability - Drives follow-through on team commitments and holds peers to agreed deliverables with tact.
</li></ul></div><div><ul><li>Collaboration - Builds working relationships across a mixed team of full-time employees, consultants, and vendors.
</li></ul></div><div><ul><li>Communication -Clear, concise written and verbal updates; strong meeting facilitation skills.
</li></ul></div><div><ul><li>Adaptability -Comfortable shifting between coordination, ceremony facilitation, and ad-hoc operational support.
</li></ul></div><div><ul><li>Organization -Keeps many small threads visible and moving; nothing falls through the cracks.
</li></ul></div></div><div><div><ul><li>Coaching &amp; Motivation -Encourages and motivates team members; builds trust quickly with FTEs, consultants, and vendors.
</li></ul></div><div>ADDITIONAL COMPETENCIES
</div><div>(All competencies below are required upon entry)
</div><div><ul><li>Agile / Scrum Facilitation - Practical fluency in Scrum events, artifacts, and roles; able to run effective ceremonies and coach a team that is not fully Agile-mature.
</li></ul></div><div><ul><li>Backlog &amp; Work Management - Hands-on with Jira, Azure DevOps, ServiceNow, or equivalent; comfortable building queries, dashboards, and reports.
</li></ul></div><div><ul><li>Operational Coordination - Strong at intake triage, dependency tracking, and recurring-rhythm management.
</li></ul></div><div><ul><li>Stakeholder Communication - Translates team activity into status visibility for non-technical and senior audiences.
</li></ul></div><div><ul><li>Time &amp; Priority Management - Quickly distinguishes urgent from important; protects the team from low-value churn.
</li></ul></div><div><ul><li>Problem Solving - Practical, root-cause-oriented; comfortable making moderate decisions without escalation, weighing risks, uncertainties, and assumptions.
</li></ul></div><div><ul><li>Operating in Ambiguity - Multi-tasks effectively in a quickly changing environment; makes sound decisions with incomplete information. 
</li></ul></div><div>PREFERRED QUALIFICATIONS
</div><div><ul><li>Bachelor's degree in IT, Information Systems, Engineering, Computer Science, or related field.
</li></ul></div><div><ul><li>Certified Scrum Master (CSM), Professional Scrum Master (PSM I or II), or SAFe Scrum Master / SAFe Agilist certification.
</li></ul></div><div><ul><li>Experience supporting an IT infrastructure, datacenter, or operations team.
</li></ul></div><div><ul><li>Experience coordinating mixed teams of full-time employees and consultants/contractors.
</li></ul></div></div><div><div><ul><li>Familiarity with Kanban and scaled Agile ( SAFe , LeSS , or similar).
</li></ul></div><div><ul><li>Lean Six Sigma exposure for process improvement.
</li></ul></div></div>Minimum Qualifications:
<ul><li>Bachelor's degree and 3+ years of project management or related work experience.
</li></ul>OR
 
Associate's degree and 5+ years of project management or related work experience.
 
OR
 
High School Diploma or equivalent and 7+ years of project management or related work experience.
 
 
<ul><li>Completed advanced degrees in a relevant field may be substituted for up to two years (Master&rsquo;s = one year, Doctorate = two years) of work experience.
</li></ul><div><div><div><div><div><div><div>Applicants : 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></div></div></div></div></div></div>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.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
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.
Pay range and Other Compensation &amp; Benefits :
$120,800.00 - $181,200.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer &ndash; and you can review more details about our US benefits at this link .
If you would like more information about this role, please contact Qualcomm Careers .</div>

Project Manager, IT

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Middle East Information Technology Company LLC
<h2 class="jobSectionHeader">Job Area:
</h2>Engineering Group, Engineering Group &gt; Systems Engineering
General Summary:
About Us
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.
Qualcomm is utilizing its traditional strengths in digital wireless technologies to play a central role in the evolution of Cloud AI. We are investing in several supporting technologies including Deep Learning. The Qualcomm Cloud AI team is developing hardware and software solutions for Inference Acceleration.
We are hiring LLM Serving Engineers at multiple levels to join our dynamic, collaborative team.
This role spans the full product lifecycle&mdash;from cutting-edge research and development to commercial deployment&mdash;and demands strategic thinking, strong execution, and excellent communication skills.
This role involves the following activities:
<ul><li>Building a scalable LLM inference platform using inference techniques (e.g. disaggregated serving and KV-Cache management, advanced parallelism, speculative algorithms, model optimization, specialized kernels).
</li><li>Contribute to the development of LLM Serving packages (e.g. vLLM, SGLang, TGI, Triton-Inference server, Dynamo, LLM-d).
</li><li>Work closely with customers to drive solutions by collaborating with internal compiler, firmware and platform teams.
</li><li>Work at the forefront of GenAI by understanding advanced algorithms (e.g. attention mechanisms, MoEs) and numerics to identify new optimization opportunities.
</li><li>Drive efficient serving through smart autoscaling, load balancing and routing.
</li><li>Engage with open-source serving communities to evolve the framework.
</li></ul>You will demonstrate the following:
<ul><li>Hands-on experience in one or more of the following LLM serving/Orchestration packages (Triton-Inference Server, vLLM, SGLang, Ollama, llm-d, KServe, LMCache, MoonCake)
</li><li>Deep understanding of foundational LLMs, VLMs, SLMs, transformer-based architectures.
</li><li>Strong experience in developing language models using PyTorch.
</li><li>Strong computer science fundamentals - algorithms, data structures, parallel and distributed programming.
</li><li>Understanding of computer architecture, ML accelerators, in-memory processing and distributed systems.
</li><li>Strong Python development skills for large-scale projects with passion for software engineering.
</li><li>Experience in analyzing, profiling, and optimizing deep learning workloads.
</li><li>Proactive learning about the latest inference optimization techniques.
</li><li>Excellent communication and problem-solving skills, with the ability to thrive in a fast-paced and collaborative environment.
</li><li>MS in Computer Science, Machine Learning, Computer Engineering or Electrical Engineering.
</li></ul>Bonus Skills include:
<ul><li>Open-source contribution to any GenAI package.
</li><li>Experience architecting and developing large-scale distributed systems.
</li><li>High-level kernel design experience (PyTorch, CUDA, Triton).
</li><li>Knowledge of torch.compile or torchDynamo
</li><li>PhD in Computer Science, Computer Engineering or Machine Learning
</li></ul>Minimum Qualifications:
<ul><li>Bachelor's degree in Computer Science, Electrical or Computer Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
</li></ul>OR
 
Master's degree in Computer Science, Electrical or Computer Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
 
OR
 
PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
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 4+ years of Systems Engineering or related work experience.
</li></ul>OR
 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
 
OR
 
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
*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>

LLM Serving Engineer (Cloud AI Engineering) - Riyadh, KSA

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Middle East Information Technology Company LLC
<h2 class="jobSectionHeader">Job Area:
</h2>Engineering Group, Engineering Group &gt; Systems Engineering
General Summary:
About us
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.
Qualcomm is utilizing its traditional strengths in digital wireless technologies to play a central role in the evolution of Cloud AI. We are investing in several supporting technologies including Deep Learning. The Qualcomm Cloud AI team is developing hardware and software solutions for Inference Acceleration.
We are hiring an AI Performance Engineers at multiple levels to join our dynamic, collaborative team.
This role spans the full product lifecycle&mdash;from cutting-edge research and development to commercial deployment&mdash;and demands strategic thinking, strong execution, and excellent communication skills.
This role involves the following activities:
<ul><li>Convert, optimize and deploy models for efficient inference using PyTorch, ONNX.
</li><li>Work at the forefront of GenAI by understanding advanced algorithms (e.g. attention mechanisms, MoEs) and numerics to identify new optimization opportunities.
</li><li>Performance analysis and optimization of LLM, VLM, and diffusion models for inference. Scale performance for throughput and latency constraints.
</li><li>Mapping the next generation AI workloads on top of current and future hardware designs.
</li><li>Work closely with customers to drive solutions by collaborating with internal compiler, firmware and platform teams.
</li><li>Analyze complex performance or stability issues to work towards final root cause of underlying problems.
</li><li>Create engineering solutions to deliver continuous insights into performance of AI workloads guiding the improvements over time.
</li><li>Design and implement high-level kernels, e.g. in Triton, with a focus on generating efficient, low-level code.
</li></ul>You will demonstrate the following:
<ul><li>Hands-on experience in building and optimizing language models, notably in PyTorch, ONNX, preferably in production-grade environments.
</li><li>Deep understanding of transformer architectures, attention mechanisms and performance trade-offs.
</li><li>Experience in workload mapping strategies exhibiting sharding or various parallelisms.
</li><li>Strong Python programming skills.
</li><li>Proactive learning about the latest inference optimization techniques.
</li><li>Understanding of computer architecture, ML accelerators, in-memory processing and distributed systems.
</li><li>Strong communication, problem-solving skills and ability to learn and work effectively in a fast-paced and collaborative environment.
</li><li>MS in Computer Science, Machine Learning, Computer Engineering or Electrical Engineering.
</li></ul>Bonus Skills:
<ul><li>Background in neural network operators and mathematical operations, including linear algebra and math libraries.
</li><li>Understanding of machine learning compilers.
</li><li>Experience in converging accuracy and its evaluation methods.
</li><li>Knowledge of torch.compile or torchDynamo.
</li><li>PhD in Computer Science, Computer Engineering or Machine Learning
</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 4+ years of Systems Engineering or related work experience.
</li></ul>OR
 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
 
OR
 
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
*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>

AI Performance Engineer (Competitive & Network Analysis) - Riyadh, KSA

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Technologies, Inc.
<h2 class="jobSectionHeader">Job Area:
</h2>Engineering Services Group, Engineering Services Group &gt; Program Management
General Summary:
***Must be a U.S. citizen and eligible for a U.S. Government security clearance***
Qualcomm Government Technologies (QGOV) is a unique division within Qualcomm that partners with the U.S. Government to bring the latest in new and innovative commercial technologies to the government space. QGOV is seeking a results-oriented junior Program Manager to manage small projects and provide direct support to more senior Program Managers (PMs) in managing multiple complex government programs.
The ideal candidate is an outstanding team player, self-starter, and can thrive in an ambiguous, fast-paced technical environment. This individual has both a program management and technical background, is capable of simultaneously managing multiple project schedules and understands financial, contractual and technical details. Excellent oral and written communication skills are critical, including the ability to effectively present programmatic, risk and technical summaries to diverse audiences.
Key responsibilities include: Provide support to lead PMs as needed to ensure successful program execution. Prepare, maintain and drive schedules to milestones. Prepare for, support or lead internal or customer program reviews. Create presentations, write reports and develop other contract deliverable documents. Lead proposal teams to develop estimates and prepare responses to customer RFPs. Understand the scope, requirements, and interdependencies of assigned programs. Establish regular communications with upper management and other stakeholders regarding program status, schedule trends, risk management, mitigation and recovery actions. Interface with Engineering, Contracts, Finance, Procurement, Mission Development and other internal functional groups as required to accomplish program objectives. In general, perform whatever duties are necessary to ensure successful program execution.
 
 
A successful applicant must have excellent interpersonal, teamwork and organizational skills, as well as proven program/project management skills with an emphasis on timely delivery and a track record of successful management of technical projects. Be prepared to discuss project approach and execution strategies, including but not limited to, tracking projects in GANTT charts and/or implementation of Agile tracking tools/methodologies such as JIRA, Scrum or Kanban.
Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
Minimum Qualifications:
<ul><li>Bachelor's degree in Engineering, Computer Science, or related field.
</li><li>2+ years of Program Management or related work experience.
</li></ul>Preferred Qualifications
<ul><li>A current or recent Top Secret (TS/SI) security clearance
</li><li>Master's degree in engineering, Computer Science, or related field.
</li><li>3-5 years of experience in Program/Project Management.
</li><li>Strong working knowledge of Microsoft Project and other Microsoft Office application
</li><li>Hands-on scheduling proficiency using GANTT charts or Agile tools/methodologies
</li><li>Experience with:
<ul><li>Government contracting and classified government programs
</li><li>Confluence, JIRA tool suite and Agile (Scrum and Kanban) methodologies
</li><li>Creating government proposal estimates, cost and technical volumes
</li><li>Wireless telecommunications and digital signal processing communities
</li></ul></li></ul>Preferred Certifications:
<ul><li>PMP Project Management Professional
</li><li>CSM Certified Scrum Master
</li></ul><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>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.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
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. 
Pay range and Other Compensation &amp; Benefits :
$126,400.00 - $189,600.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer &ndash; and you can review more details about our US benefits at this link .
If you would like more information about this role, please contact Qualcomm Careers .</div>

Program Manager (***Must be a U.S. citizen and eligible for a U.S. Government security clearance***)

<div>
 
 Company
 
 
 
 Qualcomm Technologies, Inc.
 
 
 
 Job Area
 
 
 
 Engineering Group, Engineering Group &gt; Machine Learning Engineering
 
 
 
 General Summary
 
 
 
 Artificial Intelligence is changing the world for the benefit of human beings and societies. QUALCOMM, as the world's leading mobile computing platform provider, is committed to enable the wide deployment of intelligent solutions on all possible devices &ndash; like smart phones, laptops, autonomous vehicles, robotics and IOT devices. Qualcomm is creating building blocks for the intelligent edge.
 
 
 We are part of Qualcomm AI Research, and we focus on advancing Gen AI Technology for the Edge &ndash; including model fine tuning, hardware acceleration, model quantization, edge inference and related fields. Come join us on this exciting journey.
 
 
 In this particular role, you will work in a dynamic research environment, be part of a multi-disciplinary team of researchers and software engineers who work with cutting edge AI frameworks and tools. You will architect, design, develop, test, and deploy on-device prototype software for cutting-edge AI use cases.
 
 
 The successful applicant should have a strong theoretical background and first hands-on experience with enabling on-device AI using modern software engineering best practices.
 
 
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
 
 
 
 </li>
 </ul>
 
 Must Have Experience And Skills
 
 
 
 <ul>
 <li>
 Strong Python and object-oriented SW design and implementation skills.
 </li>
 <li>
 Knowledge of deep learning and ML frameworks ( i.e. PyTorch ).
 </li>
 <li>
 Strong software design skills with a focus on usability.
 </li>
 <li>
 Strong analytical, debugging and problem-solving skills.
 
 
 
 </li>
 </ul>
 
 Preferred Extra Experience And Skills
 
 
 
 <ul>
 <li>
 Knowledge of Generative AI ( GenAI ) technologies.
 </li>
 <li>
 Knowledge of neural network model optimization and on-target deployment is a plus.
 </li>
 <li>
 Knowledge of NPUs / ML accelerators.
 </li>
 <li>
 Knowledge of Android programming is plus.
 </li>
 <li>
 Optimization of algebraic operations in algorithms for HW cores is a plus.
 </li>
 <li>
 Knowledge of C/C++ and embedded software.
 
 
 
 </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).
 
 
 
 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.
 
 
 
 EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
 
 
 
 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.
 
 
 
 Pay Range And Other Compensation &amp; Benefits
 
 
 
 $122,800.00 - $184,200.00
 
 
 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer &ndash; and you can review more details about our US benefits at this link.
 
 
 If you would like more information about this role, please contact Qualcomm Careers.
</div>

Machine Learning Engineer - College Graduate

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Engineering FZ LLC
<h2 class="jobSectionHeader">Job Area:
</h2>Engineering Group, Engineering Group &gt; Systems Engineering
General Summary:
About Qualcomm IE‑IoT
Qualcomm is a global leader in connected intelligent edge platforms, delivering solutions that combine high‑performance compute, connectivity, and AI across industries including industrial automation, smart cities, energy, and public sector. The Industrial &amp; Embedded IoT (IE‑IoT) business unit enables secure, scalable, low‑latency intelligence across on‑device, on‑premises, and hybrid cloud deployments.
About the role
The Staff / Senior Staff IoT Solutions Engineer is a senior, hands‑on technical role responsible for architecting, developing, and delivering IoT and Edge AI solutions built on Qualcomm platforms. This role operates at the intersection of solution engineering, customer engagement, product collaboration, and ecosystem integration, supporting repeatable solution patterns that accelerate customer adoption across multiple verticals.
The role combines customer-facing technical leadership with hands‑on prototyping and system validation, serving as a trusted technical contributor and advisor for strategic customers and regional solution engagements.
Key Responsibilities will include
Solution Architecture &amp; Technical Execution
<ul><li>Contribute to and implement IoT and Edge AI solution blueprints for priority verticals.
</li><li>Architect and deliver end‑to‑end solutions spanning on‑device AI, gateways, edge servers, connectivity, and hybrid cloud integration.
</li><li>Develop reference architectures, design guides, and deployment playbooks in collaboration with internal teams.
</li><li>Ensure solutions meet production requirements for performance, latency, power, thermals, security, and scalability.
</li></ul>Customer &amp; Partner Engagement
<ul><li>Act as a technical lead for customer engagements, supporting projects from discovery through PoC, pilot, and early production.
</li><li>Translate customer business use cases and KPIs into practical, system‑level technical designs.
</li><li>Support customer architecture reviews and technical roadmap discussions.
</li><li>Collaborate with OEMs, ISVs, system integrators, and cloud partners to validate end‑to‑end solutions.
</li><li>Support regional PoCs, pilots, and commercial solution launches.
</li></ul>Hands‑On Prototyping &amp; Validation
<ul><li>Lead and execute system bring‑up, prototyping, benchmarking, and validation on Qualcomm platforms.
</li><li>Integrate workloads such as:
<ul><li>Computer vision and video analytics
</li><li>AI/ML inference (CNNs, multimodal models, selected GenAI inference workloads)
</li><li>IoT gateway applications and industrial data pipelines
</li></ul></li><li>Profile and optimize solutions across latency, throughput, accuracy, power, thermal behavior, and cost.
</li></ul>Hybrid Edge AI Architecture
<ul><li>Design and implement distributed AI architectures across on‑device, on‑prem edge, and cloud environments.
</li><li>Enable offline/online operation, secure connectivity, observability, and fleet/device management patterns.
</li><li>Support enterprise integration requirements including data security and operational monitoring.
</li></ul>Cross‑Functional Collaboration
<ul><li>Partner closely with Product Management, Platform HW/SW teams, Performance teams, and Customer Engineering.
</li><li>Provide feedback from customer deployments to help improve platform features, SDKs, and solution readiness.
</li><li>Represent Qualcomm in customer workshops, technical reviews, and selected industry events.
</li></ul>Technical profile that we are looking for
Required
<ul><li>Strong system‑level understanding of IoT, embedded systems, and Edge AI deployments.
</li><li>Hands‑on software experience in Python and/or C/C++.
</li><li>Experience with Embedded Linux and modern application packaging (e.g., containers).
</li><li>Familiarity with AI frameworks and runtimes such as PyTorch, TensorFlow, ONNX, and deployment‑oriented inference workflows.
</li><li>Background in computer vision, video analytics, or edge AI inference.
</li><li>Working knowledge of connectivity technologies including Ethernet, Wi‑Fi, Bluetooth, LTE/5G.
</li><li>Experience with multimedia frameworks (Android, Linux, Tizen, any other OS). Gstreamer experience a plus.
</li></ul>Preferred
<ul><li>Experience delivering customer‑facing IoT or Edge AI solutions that moved beyond PoC to pilot or production.
</li><li>Exposure to one or more verticals such as industrial automation, smart cities, public sector, energy, logistics, or retail.
</li><li>Experience working with hybrid edge/cloud architectures.
</li><li>Comfortable communicating technical concepts to architect‑, engineering‑, and director‑level audiences.
</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 4+ years of Systems Engineering or related work experience.
</li></ul>OR
 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
 
OR
 
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
*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>

Staff/Sr.Staff IoT Solutions Engineer - Abu Dhabi, UAE

Join Qualcomm and explore 19   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.