Wireless Software Engineer - Modem Technologies Software
About the job
- A bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field.
- Strong command of data structures and algorithms, including reasoning about time and space complexity in memory- and cycle-constrained environments.
- Deep understanding of operating systems concepts, including scheduling, concurrency, interrupts, memory management, inter-process communication, real-time constraints, and real-time operating system internals such as QuRT, ThreadX, FreeRTOS, or similar.
- Proficiency in modern C and C++ (C++17 and beyond), including performance optimization, cache-aware design, and lock-free or thread-safe patterns.
- Experience with embedded software on digital signal processor and Arm architectures, including familiarity with SIMD/vectorization, direct memory access, and low-power design.
- Experience debugging on target hardware using JTAG, logic analyzers, protocol analyzers, crash-dump or RAM-dump analysis, and log parsing.
- Familiarity with device drivers, hardware abstraction layers, boot flows, and hardware/software co-design.
- Experience using AI coding assistants and agentic tools, such as GitHub Copilot, Cline, or Claude/GPT-based agents, to generate, refactor, and review embedded C/C++ at scale.
- Ability to build and maintain AI-augmented developer workflows, including prompt libraries, agent rules, retrieval-augmented context over large firmware codebases, and MCP-style tool integrations.
- Experience applying large language models to crash triage, log summarization, root-cause analysis, and automated defect classification in complex embedded systems.
- Interest in AI-assisted test generation and verification, including synthesizing unit/integration tests, fuzzing harnesses, and coverage-driven test expansion for modem software.
- Ability to evaluate AI output critically, understand hallucination risks, validate generated code against timing and memory budgets, and enforce safety and correctness in real-time firmware.
- Design, implement, and optimize real-time embedded modem software across protocol layers, drivers, and platform services while meeting strict latency, memory, and power constraints.
- Apply rigorous data-structure and algorithm design to build efficient, scalable firmware components.
- Own end-to-end feature delivery, including requirements, architecture, implementation, unit and integration testing, on-target bring-up, and maintenance.
- Pioneer AI-native development practices within the team by integrating AI coding agents into daily workflows, establishing agent rules and prompt patterns, and reducing development and debugging cycle time.
- Build and maintain AI-assisted tooling for code review, static analysis, test synthesis, and automated crash and log triage over the modem codebase.
- Debug and root-cause complex, multi-layer issues on target hardware, increasingly leveraging AI-assisted analysis of logs, traces, and RAM dumps.
- Collaborate with systems, hardware, test, and integration teams to deliver production-quality modem firmware.
- Contribute to code reviews, design reviews, and continuous improvement of engineering standards, including standards for responsible and effective AI use in the software development lifecycle.
- Mentor peers on embedded fundamentals and AI-native engineering techniques.
- Bonus: experience fine-tuning, prompt-engineering, or building tooling around code models; familiarity with embedding/vector search over source repositories.
About the company
Qualcomm designs the Snapdragon processors and modems inside many Android phones, and it licenses its wireless patents to device makers around the world. It helped commercialize CDMA, the cellular technology behind 3G networks, and its patents cover core parts of the 4G and 5G standards that phones use to connect. The company does not run its own chip factories; contract foundries make its chips, which it sells to makers of phones, PCs, cars, and connected devices. Device makers also pay Qualcomm royalties for using its patented technology, which forms a second business alongside chip sales. Qualcomm was founded in 1985 and is based in San Diego, California.
Company Size
10,001+
Company Stage
IPO
Headquarters
San Diego, California
Founded
1985
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Simplify's Take
What believers are saying
- Cars are a second engine: automotive chip revenue rose 61% to $1.59 billion in the June 2026 quarter.
- Pays for learning: Qualcomm funds tuition assistance and apprenticeships and sells staff discounted shares through a stock purchase plan.
- Profits support stability: Qualcomm earned $2.21 non-GAAP per share in the June 2026 quarter despite a 4% sales dip.
What critics are saying
- Apple is walking away: Qualcomm expects Apple revenue to fall about 50% from the September to December 2026 quarter.
- Data-center deals start thin: in July 2026, management said custom chips will cut chip gross margin 1.5 to 2 points.
- Cuts keep trickling: Qualcomm filed WARN notices in April 2026 covering 144 layoffs, including 68 in San Diego.
What makes Qualcomm unique
- Phones are only part of it: handsets were $5.09 billion of $8.50 billion chip revenue in fiscal Q3 2026.
- Cloud giants buy its custom chips: two hyperscaler design wins start producing revenue in the December 2026 quarter.
- It owns an AI software layer: Qualcomm completed its Modular acquisition in July 2026 for open generative AI software.
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Benefits
Premium-free health coverage
Onsite health & fitness centers
Retirement programs
Disability & life insurance programs
Tuition reimbursement
Product discounts
Flexible time off
Parental leave
Growth & Insights and Company News
6 month growth
2%1 year growth
1%2 year growth
0%Qualcomm and broadband partners have announced what they call the world's first AI native Wi-Fi 8 gateway for home networks. The device combines Wi-Fi 8 connectivity with on-device edge AI compute. It targets residential broadband providers that want to run agentic AI services in the home rather than rely only on cloud compute. The gateway turns the home broadband box into an on-site AI compute node instead of a simple router. The launch supports Qualcomm's push beyond handsets. The company has guided for non-handset chip revenue to reach $40 billion by fiscal 2029, driven by AI devices and IoT. gFiber plans a residential trial in spring 2027. Shipment volumes or contract counts from broadband providers will show whether the gateway becomes a material product line.
A Motley Fool analysis compares Intel and Qualcomm as 2026 buys and leans towards Qualcomm, though the author would rather own the Vanguard S&P 500 ETF. Intel's fiscal 2025 revenue was nearly $52.9 billion, down about 0.5%, with a net loss of roughly $267 million. Free cash flow was negative at nearly $4.9 billion. The company is expanding its foundry business and has suspended its dividend. Qualcomm's revenue rose nearly 13.7% to about $44.3 billion, with net income of roughly $5.5 billion and free cash flow of nearly $12.8 billion. Its stock is cheaper and yields about 2%. Over 10 years, neither stock has matched the S&P 500.
Gemtek, Qualcomm and gFiber collaborate to bring Edge AI to Wi-Fi 8 broadband gateways. New AI-Native Wi-Fi 8 Gateway combines next-generation connectivity, local AI computing, and intelligent software. Gemtek Technology Co., Ltd. announced it is highlighting an AI-native Wi-Fi 8 broadband gateway at Network X 2026, developed in collaboration with Qualcomm Technologies, Inc. and gFiber, Inc. to bring Edge AI and next-generation connectivity into the home. Built on the Qualcomm Dragonwing(TM) NPro A8 Elite Platform, the gateway is engineered by Gemtek and powered by intelligent software from Genix Networks, a Gemtek subsidiary, with gFiber as the launch service provider. It combines Wi-Fi 8 Quad-Band connectivity, Edge AI computing, and intelligent software for a more responsive broadband experience. Bringing Intelligence into the Home Gateway Designed as a home internet hub and a local platform for agentic AI, the gateway supports network optimization, device awareness, security, and proactive management. Subscribers can use natural-language voice commands to manage their home network and access supported services. Local processing of supported requests can help protect privacy, improve responsiveness, and reduce reliance on the cloud. Network Intelligence for the User Experience Genix software connects the gateway, devices, and network through an AI-driven interface. Voice-controlled application integration lets users ask about device activity, performance, and security, and take supported actions. Oct 13, 2026 Prev Next 1 of 43,719 Reimagining the Role of CPE Gemtek reimagines Customer Premises Equipment as a striking living-room centerpiece. Combining thoughtful design with intuitive interaction, the gateway brings home connectivity and everyday services into a device people want to see and use. Roles Across the Collaboration Qualcomm provides advanced connectivity and AI platform technologies for next-generation intelligent edge devices. Gemtek leads product and AI system innovation, integrating hardware and Genix software into a carrier-grade gateway. gFiber defines the subscriber experience and will be the first operator to deploy the gateway. Together, the three companies are exploring a new broadband model that integrates technology, product and AI system innovation, and service experience from the platform level through to the subscriber experience, with commercial deployment targeted for 2027. "Bringing intelligence to broadband is as much an integration challenge as a technology challenge. This collaboration combines Qualcomm's Wi-Fi 8 platform and gFiber's subscriber experience with Gemtek's product engineering and Genix software. Together, we are creating a product that operators can deploy and subscribers can use in everyday life." - James Lee, CEO, Gemtek Technology [To share your insights with AiThority, please write to [email protected]]
TBEYE Corporation partners with Qualcomm on AI video. Last updated: October 13, 2026 9:59 am TBEYE Corporation, a group company of Tokyo Boeki Holdings Co., Ltd., has announced a collaboration with Qualcomm Technologies, Inc. regarding the 'Qualcomm(R) Insight Platform', the first of its kind in Japan. TBE's strengths lie not only in its wide range of products, such as security cameras incorporating AI technology and PC-based AI solutions, but also in its ability to implement AI in society by understanding the strengths and weaknesses of the AI algorithms it provides and realizing total services that take into account the actual on-site usage environment, operation, and maintenance. This collaboration will combine Qualcomm's "Qualcomm(R) Insight Platform" with TBE's AI implementation capabilities to accelerate the adoption of more advanced AI video analysis solutions that extract and analyze necessary information from video in real time and translate it into concrete actions. This solution can identify the same person from multiple camera feeds and confirm "when, where, and how they moved." It also automatically detects and alerts to suspicious movements, and allows users to search the stored footage using natural language, such as "a person wearing red clothing" or "a person who stayed in the parking lot for a long time." ITBusinessToday will expand its application to areas ranging from crime prevention and disaster preparedness to community safety measures. By combining Qualcomm's advanced video analysis technology with TBE's total service and AI social implementation capabilities, and by utilizing AI-driven video analysis, including physical AI, ITBusinessToday will contribute to solving real-world problems, thereby contributing to safety, security, efficiency for people, and future-oriented labor savings in Japan.
Qualcomm unveils four AI broadband platforms for 2026. This post contains affiliate links, and I will be compensated if you make a purchase after clicking on my links, at no cost to you. Qualcomm recently announced a major expansion in telecommunications infrastructure by revealing four distinct artificial intelligence-powered broadband platforms. Unveiled ahead of the Network X 2026 exhibition in Vienna, this new hardware and software lineup merges edge processing with carrier-grade network intelligence. For those tracking general optics articles and connectivity trends, this launch highlights how on-device AI is reshaping modern infrastructure. The centerpiece of this announcement is a next-generation AI gateway built on the Dragonwing NPro A8 Elite Platform. Developed in collaboration with Alphabet's GFiber, this gateway supports symmetrical speeds of 20 Gbps alongside smart-home management and agentic AI tools. Enthusiasts eager to evaluate these advancements can explore more through product reviews covering cutting-edge smart hardware. Table of Contents Advanced software and wireless architecture. Complementing the gateway hardware is the Dragonwing Security and Management (SAM) software framework, which provides an open architecture for deep network visibility. It optimizes user experience and defends connected ecosystems against emerging digital threats. Readers tracking industry movements can also check out updates on optics news for related networking breakthroughs. High-Speed distribution and fixed wireless access. Qualcomm expanded its portfolio with specialized point-to-point and point-to-multi-point platforms utilizing millimeter-wave technology to minimize signal interference [1.1.0]. Furthermore, the Dragonwing FWA Gen 6 Elite Platform introduces the Snapdragon X105 5G Modem-RF System, supporting tri-band Wi-Fi and satellite communications [1.1.0]. These physical products demonstrate how telecommunications operators can smoothly transition basic networks into intelligent, highly responsive service platforms [1.1.0]. Additional Reading: