Top Tech Jobs & Startup Jobs in Austin, TX

Paid 12-week summer internship opportunities across HP Solutions engineering and technical teams, including quality, mechanical, electrical, hardware, embedded, software, systems, manufacturing, test, firmware, cybersecurity, and data analytics. Interns apply classroom knowledge to real-world projects, collaborate cross-functionally, present findings, and develop analytical, modeling, testing, and troubleshooting skills. Candidates must be enrolled full time and have completed the third year of a bachelor’s degree or first year of a master’s program.

Develop firmware for Android-based video conferencing devices, including full USB software stack capabilities, embedded C/C++ applications, and Android platform features below the framework layer. Troubleshoot complex embedded system issues, collaborate on architecture and standards, contribute to planning and testing, and mentor junior engineers while driving secure, scalable, high-performance solutions.

Paid 12-week summer software internship supporting HP Solutions across software development, backend, frontend, full-stack, embedded, cloud, testing, data science, AI, cybersecurity, systems architecture, and technical program management. Interns apply academic knowledge to real-world projects, collaborate cross-functionally, present ideas, and deliver measurable results. Candidates must be full-time university students who have completed their third undergraduate year or first master's year and can work in the United States without future sponsorship.

Designs and develops mechanical systems, enclosures, assemblies, and prototypes for high-volume video conferencing products. Uses 3D CAD, rapid prototyping, testing, and iterative development to move concepts into production-ready designs. Collaborates with industrial design, thermal, electrical, manufacturing, and external development teams; evaluates tradeoffs, ensures standards compliance, drives mechanical and thermal innovation, and mentors less experienced engineers.

Supports software product management for HP and Poly collaboration solutions. Responsibilities include collecting market, competitor, and customer insights; analyzing data; supporting product concept planning and launches; defining software requirements, user stories, and acceptance criteria; and collaborating with product, design, engineering, and business stakeholders. The role also uses AI and analytics tools to improve research and decision-making.

Leads HP’s enterprise integration, API, platform-native AI, and AI governance strategy at global scale. Defines architecture vision, API-as-a-product standards, AI-ready frameworks, integration patterns, and platform AI adoption across SAP, ServiceNow, Adobe, and MuleSoft. Guides governance, security, privacy, emerging technology evaluations, and enterprise AI initiatives while influencing executives, mentoring architects and engineers, and driving scalable digital transformation capabilities.

Leads analytics, governance, cost optimization, and business value realization for enterprise AI platforms. Responsibilities include defining platform standards, analyzing usage and token consumption, forecasting spend and capacity, developing executive dashboards, detecting anomalies, optimizing prompts and models, and establishing budget guardrails. Partners with security, legal, finance, procurement, engineering, and business teams while mentoring staff and influencing executive decisions on AI adoption and investment.

Develop embedded firmware for Linux- and Android-based video conferencing devices. Responsibilities include designing secure C/C++ applications, building platform capabilities, defining architecture, troubleshooting system-level issues, contributing to planning and testing, and mentoring junior engineers. The role emphasizes embedded debugging, performance, security, collaboration, and continuous improvement.

Leads strategy, business planning, executive communications, operating cadence, OKR planning, financial and resource tracking, and cross-functional transformation initiatives for HP’s Applied AI organization. Acts as an operating partner to the VP, translating technical AI work into executive narratives, coordinating enterprise priorities, managing leadership forums, and driving organizational effectiveness across a 120+ person team.

Lead data science and AI/ML initiatives, identifying opportunities, developing and deploying models across millions of devices, and conducting experimentation. Collaborate with product, engineering, and cross-functional teams to deliver roadmap outcomes, communicate insights, manage risks, and influence strategy. The role requires advanced quantitative education, 10+ years of industry experience, and expertise in SQL, Python, PySpark, machine learning, data transformation, and statistical modeling.