Description -

HP is the original Silicon Valley garage company, where two engineers started a global revolution in technology and innovation. Today, HP is going back to its roots with 367 Garage, a new incubation group leveraging GenAI to create new product categories and the future of compute.

367 Garage operates as a startup incubator within HP, giving its teams the autonomy, resources, and support to explore, experiment, and execute on their ideas, while leveraging HP’s scale of execution and distribution. 367 Garage creates products and businesses across consumer and enterprise markets, with a focus on the intersection of hardware and AI.

The name 367 Garage reflects HP's history and vision. 367 Addison Avenue is the address of the famous garage where Bill Hewlett and Dave Packard founded HP in 1939. The garage is now a historic landmark and a symbol of HP's culture of innovation and entrepreneurship. By naming its incubation group 367 Garage, HP honors its past and looks forward to its future, where GenAI will enable new possibilities and experiences for people and businesses around the world.
We are building an impactful full stack team of talented engineers to design, train and integrate AI capabilities that can be deployed across multiple hardware and software platforms.

Ideal candidates should have demonstrated excellence e.g. successful shipped new products/features at scale, published in top-tier technical conferences and journals, significant contributions to important open-source projects - in two or more of the following areas:
LLM (Large Language Models), LVM (Large Vision Models)
Speech recognition and synthesis
Multimodal Generative AI (text-to-image, text-to-video, etc.)
3D human and object pose/shape estimation and tracking
Spatial computing: AR/VR
Autonomous vehicles and agents
Human computer intelligent interactions
Deep neural networks
Model size reduction
Computer vision
Synthetic photorealistic image data generation
Robotics
Embedded systems
Cloud computing
Other relevant technologies (do tell us about them!)

The ideal candidate will be responsible for researching, designing, training, and implementing machine learning capabilities across various platforms to address real-world problems faced by millions of HP customers every day.

Key Responsibilities:
Development: Design, develop, and maintain scalable, robust, and high-performance web applications and services for our generative AI platform.
Front-End: Create intuitive, responsive, and engaging user interfaces using modern web technologies and frameworks (e.g., Flutter, React, Angular, Vue.js).
Back-End: Build and optimize server-side components, APIs, and microservices using languages, frameworks, and databases (e.g., Node.js, Python, Java, Spring Boot, LangChain, LlamaIndex, PostgreSQL, pgvector, chroma, pinecone, Astra).

Integration: Collaborate with data scientists and machine learning engineers to integrate and deploy AI models into the platform.
Architecture: Contribute to the architectural design and improvement of our platform, ensuring it meets performance, scalability, and security standards.
Collaboration: Work closely with cross-functional teams, including product managers, designers, and other engineers, to deliver high-quality features and improvements.

Testing & Quality: Implement and maintain automated tests to ensure software reliability and performance. Participate in code reviews and contribute to maintaining best practices.

Maintenance: Troubleshoot and resolve issues across the stack, including debugging and optimizing both front-end and back-end code.

Innovation: Stay up-to-date with industry trends and emerging technologies to continually enhance our platform and deliver innovative solutions.

Qualifications:
Experience: 3+ years of professional experience in full-stack software development.
Front-End Skills: Proficiency in modern JavaScript frameworks (e.g., React, Angular, Vue.js) and front-end technologies (HTML5, CSS3, RESTful APIs).
Back-End Skills: Strong experience with server-side programming languages and frameworks (e.g., Node.js, Python, Java) and database management (SQL and NoSQL databases).
AI Integration: Experience with integrating and deploying machine learning models is a plus.
Cloud Platforms: Familiarity with cloud services and platforms (e.g., AWS, Azure, Google Cloud).
Version Control: Proficient in version control systems, particularly Git.
Problem-Solving: Strong analytical and problem-solving skills with a keen eye for detail.
Communication: Excellent written and verbal communication skills with the ability to work effectively in a team environment.
Education: Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Preferred Qualifications:
AI & ML: Knowledge of AI and machine learning principles and frameworks (e.g., TensorFlow, PyTorch).
DevOps: Experience with CI/CD pipelines and DevOps practices.
UX/UI: Understanding of UX/UI principles and experience working with designers to create user-centered designs.

HP offers a comprehensive benefits package, including:

• Dental insurance
• Disability insurance
• Employee assistance program
• Flexible schedule
• Flexible spending account
• Health insurance
• Life insurance

 Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The typical base pay range for this role across the U.S. is $150,000.00 -- $200,000.00 annually with additional opportunities for pay in the form of bonus and/or equity. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

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Equal Opportunity Employer (EEO) - 

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement