Join us as we reinvent work, so people everywhere can do their best work.

At HP IQ, our Cloud Services team builds the cloud foundation that supports and extends our innovative hardware products. We develop integrated cloud-based solutions that enhance functionality, improve performance, and deliver seamless user experiences across devices.

As a Cloud Engineering Intern, you will collaborate with cross-functional teams including hardware, AI, and platform engineering to develop, test, and operate integrated cloud services. You will contribute to projects involving AI assistants, conference room devices, and more. You will work independently and collaboratively to solve complex problems and deliver high-quality software.

Essential Qualifications:

• Currently pursuing a Master's or PhD degree in Computer Science or a related field.
• Experience or strong interest in hardware-software integration, cloud services, and AI technologies.
• Ability to work independently in a small, fast-paced team environment.
• Strong communication and collaboration skills for cross-functional work.

Preferred Qualifications:

• Experience with automation and infrastructure.
• Exposure to building services at scale.
• Familiarity with technologies such as Spring Boot.

Hourly Pay Range: $40-$50 per hour. Actual compensation will be determined based on factors such as skills, qualifications, and experience.

Compensation & Benefits (Full-Time Employees):

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies, including 4-12 weeks fully paid parental leave based on tenure, 11 paid holidays, and additional flexible paid vacation and sick leave.

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This role is ideal for students who enjoy understanding how complex systems work under the hood. You'll have the opportunity to work across multiple layers of the software stack, investigate performance bottlenecks, optimize system behavior, and build software that interacts closely with hardware and system resources.

We're looking for engineers who are curious about more than whether something works , you want to understand how it works, why it performs the way it does, and how to make it better.

Responsibilities

• Build and optimize low-level systems software using languages such as C and C++.
• Investigate performance bottlenecks and improve the speed, efficiency, and reliability of existing systems.
• Work on data processing and sensor pipelines that connect software with underlying hardware.
• Analyze and improve memory usage, resource management, and system performance.
• Work across multiple layers of the software stack to understand how individual components affect overall system behavior.
• Contribute to build systems, libraries, tooling, and system configuration.
• Debug complex software and system-level issues.
• Partner with firmware, electrical engineering, and other software teams to solve cross-functional technical problems.
• Own a meaningful technical project from exploration and implementation through testing and evaluation.

Essential Qualifications

• Currently pursuing a degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, Physics, or a related technical field.
• Programming experience in C and/or C++.
• Strong understanding of computer science fundamentals, including data structures and algorithms.
• Familiarity with systems concepts such as memory management, operating systems, concurrency, computer architecture, or performance optimization.
• Experience building, debugging, or optimizing technically complex software through coursework, research, internships, or personal projects.
• Interest in understanding software at a deeper systems level and working close to hardware.
• Ability to break down complex technical problems and clearly communicate your approach.

Preferred Skills

• Familiarity with modern C++
• Experience with Android development, especially native apps or AOSP
• Experience with Linux Kernel driver development
• Experience porting reference algorithms to hardware accelerators (GPU, DSP, etc)
• Familiarity with ARM System-on-Chip (SOC) architecture
• Experience developing bare-metal firmware for microcontrollers
• Ability to use common lab equipment (eg, logic analyzers) to debug low-level SW issues

Hourly Pay Range: $40-$50 per hour.

2027 Internship Program Dates: May/June–August/September 2027.

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As a Software Quality Assurance Intern, you will work directly with our hiring manager and team to design, build, and deploy agents that utilize pre-trained machine learning models to solve real problems for developers and quality engineers.

Responsibilities

• Design, build, and iterate on AI-powered tools and workflows that improve engineering productivity.
• Develop intelligent systems that help automate software development, testing, debugging, or quality assurance processes.
• Prototype and evaluate new approaches for applying large language models (LLMs) and agentic AI to solve complex engineering challenges.
• Collaborate with software engineers, machine learning engineers, product managers, designers, and other cross-functional partners to deliver impactful solutions.
• Participate in technical design discussions, code reviews, and collaborative problem-solving sessions.
• Analyze technical challenges, propose innovative solutions, and contribute fresh ideas that improve products, tools, and engineering workflows.
• Build, test, and iterate on production-quality software while learning modern engineering best practices.
• Present your work, share technical learnings, and contribute to a collaborative engineering culture.

Requirements

• Currently pursuing or recently completed a bachelor's or graduate degree in Computer Science, Engineering, or a related field.
• Solid understanding of coding fundamentals and comfort with at least one programming language.
• Familiarity with agentic systems, AI tools, or model utilization in applications.
• Ability to break down complex problems into manageable steps and solve them independently.
• Willingness to question established processes and propose alternative approaches.
• Strong communication skills.

Preferred Skills

• Experience building or working with automation tools or systems that improve workflow efficiency.
• Exposure to or familiarity with JIRA, continuous integration/continuous deployment (CI/CD) systems, or testing frameworks.
• Experience working in cross-functional teams or in environments where you collaborated with people from different technical backgrounds.
• Understanding or coursework in machine learning, AI, or agent systems.
• Example projects demonstrating agentic thinking.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies

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As an intern, you'll have the opportunity to contribute to next-generation projects, collaborate across disciplines, and help bring new experiences from early concepts and prototypes to working solutions.

Responsibilities

• Contribute to the foundational building blocks of our frameworks, helping create intuitive, responsive, and enjoyable user experiences.
• Collaborate closely with designers and engineers to prototype, iterate on, and bring new interactions and product experiences to life.
• Tackle challenging technical problems, identify tradeoffs and constraints, and communicate issues, needs, and potential solutions clearly across the team.
• Explore and develop new interaction models by connecting unique sensors and hardware capabilities to application-level frameworks and user experiences.

Requirements

• Pursuing a degree in Computer Science or related technical field
• Strong programming skills in one or more languages such as Java or C++

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies, including 4-12 weeks fully paid parental leave based on tenure, 11 paid holidays, and additional flexible paid vacation and sick leave

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Responsibilities As a software engineering intern, you will be tasked with:

• Balancing exceptional user experiences with strong security measures
• Contributing to the development of secure products and services
• Collaborating with the security team to identify and mitigate potential threats

Requirements

• Pursuing a degree (Bachelor's or Graduate) in Computer Science or a related technical field
• Strong software engineering skills
• Ability to work collaboratively in a dynamic environment
• Interest in privacy and security, as well as product design and development
• Experience with programming languages such as C, C++, Java, or Python

Preferred Qualifications

• Understanding of security concepts, including cryptography, access control, authorization, network security, and software security
• Ability to think critically and approach problems with a security-focused mindset

Benefits HP IQ offers a comprehensive benefits package, including:

• Health, dental, and vision insurance
• Long-term and short-term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time-off policies, including 4-12 weeks of fully paid parental leave and 11 paid holidays

Internship Details

• Hourly pay range: $40.00 - $50.00 per hour
• Internship program dates: May/June - August/September 2027

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In this role, you will work alongside experienced engineers to develop on-device software for next-generation HP IQ experiences. You'll contribute to the design, development, and implementation of software across emerging devices and platforms. This is a hands-on technical role where you'll write code, solve complex system-level problems, and collaborate with engineers to explore and build new experiences.

Responsibilities

• Develop on-device firmware and system software in C, C++, or Python for connected device experiences.
• Build and enhance software supporting wireless connectivity across a variety of devices and platforms.
• Explore sensing, machine learning, and AI techniques to solve complex technical challenges.
• Debug and resolve issues across system software, wireless connectivity, and application-level code.
• Collaborate with hardware and software engineers to understand requirements and translate them into technical solutions.
• Participate in code reviews and technical design discussions, learning from and contributing to the broader engineering team.
• Contribute to the testing, validation, and documentation of software and firmware features.

Requirements

• Write efficient on-device firmware and system software in C, C++, or Python to implement wireless connectivity protocols (Wi-Fi, Bluetooth) across multiple device types.
• Design and implement device-to-device discovery and pairing protocols that enable seamless communication in enterprise and consumer environments.
• Optimize machine learning inference on resource-constrained devices, balancing model accuracy against power consumption and latency constraints.
• Develop sensing algorithms that leverage data and AI techniques to enable new ambient and wearable interactions.
• Debug and resolve complex issues spanning the wireless stack, operating system integration, and application-level code.
• Collaborate with hardware engineers, system software teams, and product managers to understand requirements and translate them into technical solutions.
• Participate in code reviews and design discussions, learning from and contributing insights to the team's technical direction.
• Contribute to testing, validation, and documentation of connectivity features and firmware updates.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure, 11 paid holidays, Additional flexible paid vacation and sick leave

Job Data by YubHub.

As a Senior Software Engineering Manager, you will lead, grow, and mentor a high-performing embedded software team in a startup environment. You will serve as a technical leader and escalation point for complex hardware/software integration issues, communicate technical vision, risks, and progress clearly to cross-functional and executive stakeholders, and own system-level strategy, architecture, and technical direction across multiple products.

Responsibilities:

• Lead, grow and mentor a high-performing embedded software team in a startup environment
• Serve as a technical leader and escalation point for complex hardware/software integration issues
• Communicate technical vision, risks, and progress clearly to cross-functional and executive stakeholders
• Own system-level strategy, architecture, and technical direction across multiple products
• Drive execution of low-level driver and framework software development in C and C++ across multiple devices and operating systems
• Oversee integration between hardware and software, ensuring alignment across cross-functional teams
• Guide performance, power, and thermal optimization efforts
• Balance hands-on technical involvement with team leadership, including design reviews, mentorship, and delivery accountability
• Partner with internal and external stakeholders to define roadmaps, priorities, and deliverables

Essential Qualifications:

• 10+ years of experience in system software engineering and/or embedded platform software development
• 5+ years leading engineering teams, including mentoring, hiring, team growth, and navigating ambiguity in fast-paced environments
• Deep expertise in system design and architecture
• Proficiency in embedded C and modern C++
• Experience with development on Windows, Android, or Linux
• Experience developing stable APIs that ensure backward compatibility, scalability, and maintainability across system software platforms
• Proven experience leading teams in fast-paced environments
• Experience driving cross-functional programs from concept to delivery

Preferred Skills:

• Familiarity with optimization tools such as Perfmon and Perfetto
• Working knowledge of Java and/or Kotlin
• Experience porting reference algorithms to hardware accelerators (GPU, DSP, etc.)
• Experience with board bring-up, driver development, and communication protocols like I2C, SPI, and UART
• Familiarity with ARM System-on-Chip (SOC) architecture
• Experience developing bare-metal firmware for microcontrollers
• Ability to use common lab equipment (e.g., logic analyzers) to debug low-level SW issues

Benefits:

• Health insurance
• Dental insurance
• Vision insurance
• Long-term/short-term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time-off policies, including 4-12 weeks fully-paid parental leave based on tenure, 11 paid holidays, and additional flexible paid vacation and sick leave

Job Data by YubHub.

As a Lead RF Systems & Desense Engineer, you will own the RF system architecture from concept through mass production, leading RF integration across Wi-Fi, Bluetooth, UWB, NFC, and emerging wireless technologies.

Responsibilities:

• Lead RF system architecture and integration for wearable and mobile platforms.
• Own RF desense investigations and mitigation across the product lifecycle.
• Define RF specifications, link budgets, validation plans, and performance targets.
• Lead coexistence strategy for Wi-Fi, Bluetooth, UWB, NFC, and other radios.
• Partner with antenna, EE, FW, ME, and silicon vendors to optimize total wireless performance.
• Perform CST and ADS simulations for RF front-end, coupling, and matching optimization.
• Review PCB layouts for RF routing, grounding, shielding, and isolation.
• Lead RF bring-up, characterization, tuning, and root-cause analysis.
• Drive OTA and conducted validation including TRP, TIS, sensitivity, EVM, throughput, and coexistence.
• Support FCC, CE, Wi-Fi Alliance, Bluetooth SIG, FiRa, and NFC Forum certifications.
• Mentor engineers and establish RF design guidelines and best practices.

Requirements:

• 10+ years developing RF systems for high-volume consumer electronics, wearables, or mobile products.
• Expertise in RF fundamentals including impedance matching, S-parameters, link budgets, EVM, noise figure, linearity, and receiver sensitivity.
• Deep expertise in RF desense analysis and mitigation.
• Strong knowledge of RF coexistence mechanisms and mitigation techniques.
• Expert understanding of Wi-Fi (802.11 a/b/g/n/ac/ax/be), Bluetooth Classic & LE, UWB, and NFC.
• Hands-on experience with RF front-end design including PAs, LNAs, FEMs, filters, switches, and matching networks.
• Expertise using CST Studio Suite and Keysight ADS.
• Hands-on experience with VNA, spectrum analyzer, vector signal analyzer, signal generators, and OTA chambers.
• Strong understanding of EMI/EMC, PCB layout, grounding, and shielding.

Benefits:

• Health insurance
• Dental insurance
• Vision insurance
• Long-term/short-term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies, including 4-12 weeks fully paid parental leave, 11 paid holidays, and additional flexible paid vacation and sick leave.

Salary Range: $180,000 - $270,000

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The AI team is building cutting-edge solutions that bring the power of AI directly to edge devices while seamlessly integrating with cloud infrastructure. We are looking for a Software Engineer to design and develop high-performance, scalable services to support AI workloads across edge and cloud environments.

Responsibilities

• Contribute to design, build, and maintain services that power AI-driven applications, ensuring scalability and performance.
• Develop APIs and microservices that facilitate seamless integration between cloud-based AI models and edge devices.
• Optimize data pipelines and storage solutions for real-time AI inference and processing.
• Work closely with AI researchers, infrastructure engineers, and frontend developers to deliver end-to-end AI-driven solutions.
• Build and optimize an agent orchestration runtime that enables tool use, memory management, and multi-step reasoning across LLMs, APIs, and edge-connected systems.
• Support the implementation of security and privacy best practices for distributed AI systems.

Essential Qualifications

• Requires at least Masters in Computer Science, Engineering, Data Science, Artificial Intelligence or related fields.
• 1+ years of experience in backend software development, with strong proficiency in Python, Java, and C++.
• Working knowledge in LLM integration into multi-agent systems with strong understanding of agent orchestration, tool use, and memory/context management.
• Comfortable tinkering with LLMs via prompting and experienced with tools use, task decomposition, and structured outputs.
• Familiarity with database management systems (SQL and NoSQL) and data streaming technologies.
• Strong problem-solving skills and ability to work in a fast-paced, agile environment.

Preferred Skills

• Experience with AI model deployment and integration into backend services.
• Exposure to cloud-edge hybrid architectures and distributed AI workloads.
• Familiarity with on-device AI frameworks such as PyTorch, TensorFlow Lite, ONNX Runtime, or CoreML.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies, including 4-12 weeks fully paid parental leave based on tenure, 11 paid holidays, and additional flexible paid vacation and sick leave.

Job Data by YubHub.

You'll collaborate closely with industrial designers, hardware engineers, and interaction designers to transform ideas into functional prototypes and production-ready designs.

From 3D CAD modeling and hands-on prototyping to engineering analysis and design validation, you'll help solve complex mechanical challenges and drive designs from early concepts toward production.

Responsibilities

• Design mechanical parts, components, and assemblies for new consumer devices using 3D CAD (NX)
• Create detailed 2D engineering drawings, define specifications and tolerances, and work closely with overseas vendor partners to ensure accuracy and quality
• Design and run experiments, applying engineering analysis and test results to guide design decisions
• Evaluate materials, manufacturing processes, and design tradeoffs to develop robust and scalable solutions
• Work cross-functionally with hardware, software, industrial design, and other engineering teams to bring concepts from ideation through development
• Conceptualize, design, and build prototypes that quickly validate ideas
• Participate in design reviews, clearly communicating design decisions, technical analysis, and tradeoffs to both technical and non-technical audiences
• Build, test, troubleshoot, and iterate prototypes to identify issues and improve product performance, reliability, and user experience
• Work with manufacturing and vendor partners to iterate designs and support the transition from prototype to production

Essential Qualifications

• Recently completed Bachelor’s or Master’s degree in Mechanical Engineering, Materials Science, Product Design Engineering, or a related technical field
• Experience using 3D CAD software (Siemens NX preferred) to design mechanical components and assemblies
• Hands-on experience building, prototyping, and testing mechanical designs
• Strong understanding of fundamental mechanical engineering principles
• Strong analytical and problem-solving skills with the ability to apply engineering fundamentals to open-ended design challenges
• Ability to communicate technical concepts and present work effectively to both technical and non-technical audiences
• Ability to work collaboratively in a fast-paced, multidisciplinary product development environment

Preferred Skills

• Experience developing consumer products through internships, academic projects, research, personal projects, or professional experience
• Knowledge of a variety of materials and scalable manufacturing processes, such as injection molding, machining, sheet metal, casting, or additive manufacturing
• Experience with machine tools and prototyping equipment, such as 3D printers, laser cutters, mills, and lathes
• Familiarity with engineering drawings, GD&T, tolerance analysis, and design for manufacturing and assembly (DFM/DFA)
• Experience designing and executing mechanical tests or experiments and analyzing the resulting data
• Exposure to working with suppliers, manufacturers, or fabrication partners
• Experience or interest in industrial design, human interaction design, or graphic design

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies, including:
• 4-12 weeks fully paid parental leave based on tenure
• 11 paid holidays
• Additional flexible paid vacation and sick leave

Job Data by YubHub.

As a Senior System Software Engineer, you will be responsible for system design and architecture, develop low-level driver and framework software in C and C++, and device-focused infrastructure software in Python.

Your tasks will include:

• Debugging issues at the interface between hardware and software
• Optimizing software for better performance and lower power consumption
• Collaborating in the software engineering process with documentation, testing, and code review

You will have 8+ years of experience in system software engineering and embedded platforms, with a strong background in systems design and architecture.

We offer a competitive and comprehensive benefits package, including health insurance, dental insurance, vision insurance, long-term/short-term disability insurance, employee assistance program, flexible spending account, life insurance, and generous time-off policies.

Salary Range: $162,000 to $288,000

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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.

Responsibilities

• 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.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure, 11 paid holidays, Additional flexible paid vacation and sick leave

Job Data by YubHub.

You’ll work alongside experienced security, firmware, operating system, hardware, and cloud engineers to help protect customer data and strengthen the security of our products.

In this role, you’ll develop and implement security features across embedded systems, PCs, and server-class workstations.

Responsibilities:

• Develop and implement security features for embedded and connected devices, including secure boot, key management, encryption, device identity, and data protection.
• Contribute to the design and implementation of secure software components using established security architectures and industry best practices.
• Collaborate with engineers across CoreOS, Firmware, Design, Hardware, and Cloud Services to integrate security capabilities into HP IQ products.
• Develop and maintain software in C, C++, Java, or related languages across embedded, AOSP, Linux, or Windows environments.
• Contribute to TrustZone, TEE, kernel-level, or other hardware-backed security applications with guidance from experienced engineers.
• Help implement secure communication channels between devices and services while protecting sensitive and personal data.
• Work with biometric sensors and other hardware components to support secure data flows across device boundaries.
• Participate in threat modeling, security reviews, vulnerability analysis, testing, and remediation activities.
• Apply secure software development lifecycle (SDLC) practices throughout the development process.
• Investigate security issues, troubleshoot software and system-level problems, and contribute to solutions that improve product security and reliability.

Essential Qualifications:

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Cybersecurity, or a related technical field, or equivalent practical experience.
• Typically 2–4 years of professional software engineering experience, including experience with embedded systems, operating systems, firmware, or security-related development.
• Programming experience in C, C++, Java, or a similar systems programming language.
• Foundational understanding of software and device security concepts such as secure boot, cryptography, authentication, access control, PKI, or application sandboxing.
• Experience developing or debugging software in embedded, Linux, AOSP, Windows, or similar environments.
• Understanding of software development fundamentals, including debugging, testing, code reviews, source control, and software development lifecycle practices.
• Ability to collaborate effectively with engineers and cross-functional partners to solve technical problems.
• Strong interest in developing deeper expertise in device security, cryptography, privacy, and secure systems.

Benefits:

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure, 11 paid holidays, Additional flexible paid vacation and sick leave

Job Data by YubHub.