Senior Connectivity Software Engineer
HP IQ
| Company | HP IQ |
| Category | Engineering |
| Location | San Francisco |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 20 Nov 2025 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Who We Are
HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates.
We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless.
We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset.
By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work.
Join us as we reinvent work, so people everywhere can do their best work. About The Role
HP IQ’s Connectivity team is seeking a Software Engineer with deep expertise in device software development. The ideal candidate will bring strong knowledge of connectivity stack and hands-on experience developing, integrating, and optimizing device software to deliver industry-leading user experiences. You will work at the intersection of Wi-Fi, Bluetooth, and emerging device-to-device transport technologies, tackling complex challenges in performance, reliability, and low-latency communication. This role offers the opportunity to contribute to cutting-edge innovations that are redefining how people and devices seamlessly connect across the modern enterprise.
What You Might Do
Design, develop, and integrate connectivity software features across Android, Windows, and embedded platforms, including SDKs, frameworks, and system services.
Implement, optimize, and tune wireless networking protocols and sensing algorithms with a focus on enterprise-scale architectures and deployments.
Design, implement, and troubleshoot peer-to-peer technologies to deliver secure, reliable, and low-latency connectivity across diverse networking scenarios.
Collaborate closely with wireless chipset vendors, industry partners, and internal engineering teams to align designs, debug system-level issues, and optimize end-to-end connectivity performance.
Analyze and troubleshoot complex wireless behavior including performance degradation, QoS bottlenecks, interoperability issues, and security constraints in large-scale networks.
Essential Qualifications
Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related technical field.
6+ years of experience in device software development, including connectivity features, performance tuning, and debugging.
3+ years of experience developing software SDKs/frameworks on Android, Linux, or similar OS platforms.
Strong programming skills in Java, C, C++, or Objective-C, with solid grounding in software engineering fundamentals (OO design, debugging, system-level architecture).
Familiarity with radio standards such as 802.11 and Bluetooth, and an understanding of related protocol stacks.
Experience collaborating across hardware, OS, QA, and cross-functional engineering teams.
Ability to work independently, drive technical tasks to closure, and clearly communicate root-cause findings to senior leadership and partners.
Preferred Skills
Proficiency in C/C++ and embedded systems programming for performance-critical wireless features.
Strong understanding of peer-to-peer technologies and sensing techniques.
Experience working directly with wireless chipset vendors to optimize connectivity performance and resolve interoperability issues.
Comfort working across diverse platforms including Linux, Windows, embedded systems, cloud-managed networks, and mobile OS stacks.
Expertise in wireless performance analysis using tools such as Wireshark, logging frameworks, and low-level tracing.
Salary Range: $140,000 - $22
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