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Mobile Qnx Jobs (NOW HIRING)

Qualcomm

Sr. Staff Audio Engineer

San Diego, CA · On-site

... mobile, automotive, or IoT platforms. Responsibilities 1. Technical Architecture & Strategy ... Android/QNX), HAL (Hardware Abstraction Layer), and kernel-level drivers. * Feature Development:

Qualcomm

#Software Engineer - Kernel Services

San Diego, CA · On-site

$94K - $141K/yr

These SOCs serve customers across the Mobile Handset, Compute, Automotive, XR/AR, Cloud AI, IoT and ... QNX, FreeRTOS, Zephyr among others. The multiple number of drivers and Services constantly evolve ...

Qualcomm

Sr. Staff, Engineer

San Diego, CA · On-site

$110K - $152K/yr

Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge ... Android, QNX) and Hardware. • 5+ years of experience in embedded system development and ...

Qualcomm

Automotive Software Test, Staff

San Diego, CA · On-site

$134K - $202K/yr

Qualcomm is a company of inventors that unlocked 5G/Mobile - ushering in an age of rapid ... Linux, QNX, Android, Multimedia, Kernels and device driver domains. * Experience of test case ...

Qualcomm

M/L Compiler Engineer

San Diego, CA · On-site

Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge ... QNX) and Hardware. • 1+ year of work experience in a role requiring interaction with senior ...

Qualcomm

#Embedded Software Engineer

San Diego, CA · On-site

$139K - $183K/yr

These SOCs serve customers across the Mobile Handset, Compute, Automotive, XR/AR, Cloud AI, IoT and ... QNX, FreeRTOS, Zephyr among others. The team actively develops open-source solutions to achieve ...

Qualcomm

Staff Engineer

San Diego, CA · On-site

Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge ... Android, QNX) and Hardware. • 1+ year in a technical leadership role with or without direct ...

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All JobsMobile Qnx Jobs

Mobile Qnx information

See salary details

$21K

$134.8K

$194K

How much do mobile qnx jobs pay per year?

As of Jul 16, 2026, the average yearly pay for mobile qnx in the United States is $134,809.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $160,000.00 per year, depending on experience, location, and employer.

What is the difference between Mobile Qnx vs Mobile Embedded Engineer?

AspectMobile QnxMobile Embedded Engineer
Required CertificationsEmbedded systems, RTOS knowledge, possibly QNX certificationsEmbedded systems, RTOS, C/C++ proficiency
Work EnvironmentDeveloping for mobile devices using QNX OS in automotive, industrial, or consumer electronicsDesigning embedded systems for mobile hardware, often in automotive, consumer electronics, or IoT
Industry UsagePrimarily in automotive infotainment, industrial control, and consumer electronicsBroadly in mobile device hardware, automotive, and IoT sectors

Mobile Qnx specialists focus on developing and maintaining applications and systems specifically for QNX-based mobile platforms, often in automotive or industrial contexts. Mobile Embedded Engineers work on embedded hardware and software for various mobile devices, including smartphones and IoT gadgets. While both roles require embedded systems expertise, Mobile Qnx roles are more specialized in QNX OS environments, whereas Mobile Embedded Engineers may work with multiple RTOS and hardware platforms.

What cities are hiring for Mobile Qnx jobs? Cities with the most Mobile Qnx job openings:
What are the most commonly searched types of Qnx jobs? The most popular types of Qnx jobs are:
What states have the most Mobile Qnx jobs? States with the most job openings for Mobile Qnx jobs include:
What job categories do people searching Mobile Qnx jobs look for? The top searched job categories for Mobile Qnx jobs are:
Mobile Qnx jobs near you
Infographic showing various Mobile Qnx job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $134,809 per year, or $64.8 per hour.
DoW SkillBridge Vulnerability Researcher (Cyber199)

DoW SkillBridge Vulnerability Researcher (Cyber199)

Research Innovations

Melbourne, FL

Full-time

Medical, Retirement, PTO

Re-posted 24 days ago

Job description

Position Title: Skillbridge Security Researcher 
Location: St. Petersburg, FL | Melbourne, FL | San Antonio, TX
Clearance Requirement: Top Secret/SCI
Research Innovations Inc. (RII) is redefining defense technology. We combine mission-driven impact with cutting-edge research and a culture that values autonomy, creativity, and technical excellence.

We are seeking security researchers to independently explore and exploit complex systems, from kernels to embedded platforms, to solve the unsolvable. This role combines deep technical problem-solving with real-world impact on defense and homeland security systems. This position is specifically for members of the DoW who are transitioning to civilian life and can take advantage of programs such as SkillBridge. Lets Get s#it done.
 
This position requires an Active US Top Secret security clearance
WHAT YOU WILL BE DOING
  • Conducting in-depth reverse engineering and vulnerability analysis across various architectures and platforms, including x86/64, ARM, PowerPC, and more
  • Researching and analyzing operating system and application internals, identifying and understanding security strengths and weaknesses of those systems
  • Developing and enhancing functionality by adding features and capabilities to undocumented interfaces
  • Modeling and analyzing in-memory compiled application behavior to identify potential vulnerabilities and improve security measures
  • Developing and understanding mobile/embedded systems and kernel modules, particularly related to vulnerability research
  • Participating actively in our extensive Vulnerability Research mentorship program, sharing knowledge and collaborating with colleagues
WHAT YOU HAVE DONE
  • Proficient understanding of wireless networking and associated security protocols, such as Wi-Fi (802.11), Bluetooth, or cellular networks (2G/3G/4G/5G). Familiarity with common vulnerabilities and attack vectors in wireless communication
  • Strong grasp of legacy exploit mitigations and bypass techniques, including but not limited to Address Space Layout Randomization (ASLR), Data Execution Prevention (DEP/NX), Stack Cookies (Canaries), and Control Flow Integrity (CFI). Experience in identifying and circumventing these security measures
  • In-depth knowledge of both security and network fundamentals, such as cryptography, authentication, access control, and network protocols (TCP/IP, UDP, DNS, HTTP, etc.). Understanding the security implications and potential vulnerabilities associated with these concepts
  • Programming experience with both scripted languages (preferably Python3) and compiled languages (preferably C). Ability to write efficient and secure code for vulnerability research and exploit development purposes
  • Familiarity with low-level architectures such as x86, ARM, or MIPS. Understanding the underlying principles, instruction sets, and memory models of these architectures for vulnerability identification and analysis
  • Experience with operating system internals and implementations, including Windows, Linux, or macOS. Knowledge of system structures, process management, memory management, and security mechanisms at the kernel level
  • Excellent oral, written, and interpersonal communication skills, with the ability to effectively convey complex technical concepts and interact with customers and team members alike
EVEN BETTER
  • Experience with vulnerability research and reverse engineering of real-time operating systems (RTOS), such as FreeRTOS, QNX, or VxWorks. Understanding the unique security challenges and attack vectors specific to RTOS environments
  • Bachelor's or postgraduate degree in Computer Science, Computer Engineering, or a related field
  • Experience with software protection and binary armoring techniques, such as anti-debugging, code obfuscation, or tamper resistance. Understanding the methods employed to protect software from reverse engineering and vulnerability discovery
  • Proficiency in agile development methodologies, including Scrum or Kanban, for efficient collaboration and iterative development in a cybersecurity context
  • Familiarity with low-level iOS/Android development and associated security considerations, such as jailbreaking or rooting, application sandboxing, or secure interprocess communication (IPC)
  • Knowledge of hypervisors and their security implications, including virtualization-based security, guest escape vulnerabilities, or hypervisor-based rootkits
  • Proficiency in malware analysis, including static and dynamic analysis techniques, behavioral analysis, and code deobfuscation. Experience in identifying and analyzing malware samples to understand their capabilities and potential vulnerabilities
  • Experience with constraint solving techniques, such as symbolic execution, theorem proving, or model checking, for vulnerability identification, verification, and exploit generation
  • Background in machine learning, particularly in the context of vulnerability analysis and detection, such as using ML techniques to identify patterns in code or analyze network traffic for anomaly detection
We work to help your intellectual passions and creativity thrive. It's one of our core values: Let your geek flag fly.
 
We also offer all employees comprehensive benefits including: flexible work schedules, health insurance coverage, paid time off, 401k with a company match, paid parental leave, access to wellness programs and much more. You get this all from day one, and all paid for by RII.
 
It's all part of another of our core values: Stay human. It's why our comfortable and colorful offices such as our headquarters, include a community game room, pantry, massage chair, and an escape room, among other amenities. It's why we have community ambassadors and regular community events.
 
Research Innovations, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, national origin, genetics, disability status, protected veteran status, age, or any other characteristic protected by state, federal or local law.
#LI-AC1
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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