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In this role, you will lead process improvement initiatives across existing production lines, ensuring stable, high-quality manufacturing performance.

You will drive process and equipment improvements aimed at increasing yield, strengthening process robustness, and reducing COGS. The role also includes supporting the introduction of new products and manufacturing capabilities.

A key aspect of this position is identifying and resolving production issues through structured problem-solving methodologies. This requires close collaboration with cross-functional teams including Production, Sourcing, Equipment Engineering, Product teams, and R&D to continuously improve processes and enhance product performance.


Responsibilities
Develop and implement innovative solutions to improve manufacturing technologies, performance, and cost efficiency

Identify opportunities to increase production capacity and improve yield and product quality

Establish best practices, methodologies, and routines to support stable and efficient manufacturing processes

Conduct process analysis, yield analysis, and risk assessments to identify improvement opportunities

Lead process upgrades and optimization of existing systems and production workflows

Manage improvement initiatives while balancing cost, timeline, and operational constraints

Create and maintain process documentation, operating procedures, and technical instructions

Collaborate closely with Production, Procurement, vendors, and R&D teams to implement and sustain improvements

This position is ideal for a proactive, hands-on problem solver with a high level of proficiency in mechanical design, capable of independently managing focused engineering tasks and making significant contributions to strategic engineering initiatives.

Job Responsibilities

Provide mechanical and equipment engineering support for NPI and process initiatives, including design inputs, feasibility checks, and implementation guidance.

Lead engineering projects-mechanical improvements, new technologies implementation, equipment adaptations and integration of new process requirements.

Troubleshoot mechanical issues on the production floor, drive structured RCAs, and recommend practical, stable engineering solutions.

Define mechanical requirements and specifications for new or modified equipment, support vendors and internal teams during design, build, and integration.

Contribute to maintenance‑related decisions and projects

Ensure engineering solutions align with safety, ergonomics, and regulatory expectations.

Write clear engineering documentation and communicate constraints, risks, and recommendations.

looking for a Yield Improvement Program Lead to join our global Reverse and Repair team.
This role has significant impact on customer experience and Service P&L, leading technical process improvement initiatives across HP Indigos global Repair Centers, with a clear objective to increase yield, reduce scrap, and improve process robustness.

Key responsibilities

Lead structured, data‑driven initiatives to improve repair Yield and reduce Scrap across global Repair Centers.

Analyze repair performance trends, identify systemic loss drivers, and define targeted improvement actions.

Define and drive Yield improvement roadmaps by part family and technology, aligned with business priorities.

Lead end‑to‑end investigations for recurring failures, chronic low‑yield parts, and abnormal scrap trends.

Drive structured root cause analysis (A3 / 8D / RCA) at component, assembly, and process levels, distinguishing between design, process, handling, installation, and logistics causes.

Identify non‑robust repair and installation steps and drive process simplification and mistake‑proofing.

Improve repair procedures, work instructions, verification steps, and embedded control points to eliminate repeated failures.

Build dashboards and structured reporting to track trends, root causes, and improvement effectiveness, translating data into clear management insights.

Drive cross‑functional alignment with Repair Centers, Quality, R&D, Spare Parts Organization, and Suppliers, leading cross‑site task forces and ensuring corrective actions are implemented, validated, standardized, and sustained.

We are seeking a highly motivated mechanical engineering student to join the R&D section. In this role, you will be involved in a variety of key elements related to design, manufacturing, testing, and analysis.


Responsibilities:

Design and Manufacturing of Parts: Collaborate with the R&D team to create detailed designs for mechanical components and parts.
Testing and Analysis: Assist in performing tests and analyzing data.
JIG Design and Execution: Contribute to the design and execution of various JIGs used in R&D and manufacturing and assembly processes.
Supporting Ongoing R&D Activities: Work closely with senior engineers to support ongoing research and development projects.

We are on a mission to enable enterprises to adopt AI safely and securely. Our approach combines advanced AI research with practical implementation to offer seamless integration and protection for our clients' AI based tools and infrastructure.
We are looking for a Senior Data Scientist / Applied AI Researcher with deep expertise in NLP and LLM-based systems, and the ability to operate across the full lifecycle, from problem formulation and research design to production deployment and real-world iteration.
You wont be working on isolated experiments. Youll be part of a multidisciplinary team that owns the system end-to-end and is responsible for how it behaves under real production traffic.
This role requires strong scientific discipline and the maturity to balance innovation with practical constraints.
What youll do
End-to-End Ownership: Lead AI security solutions from problem formulation and research design through model development, evaluation, and production deployment. Ensure solutions are measurable, reliable, and effective under real-world traffic.
Drive Technical Direction: Take responsibility for ambiguous AI security problems, propose thoughtful approaches, and drive structured experimentation and deep model analysis.
Build for Scale: Design systems that are not only accurate, but scalable, efficient, and robust.
Staying Updated: Continuously explore advances in NLP and LLM-based systems, and critically assess what is worth integrating into a production environment.

We are looking for a strong Data Engineer / Software Engineer who wants to move into Data & AI and thrives in an end-to-end environment. You wont be building models in isolation. Youll join a multidisciplinary team that owns the full lifecycle of our AI Engine- from research ideas, through model serving and optimization, to monitoring and production reliability.
If youre a team-oriented engineer with strong communication skills and a passion for becoming a rockstar in the AI security space, we want you.
What youll do
End-to-End Ownership: from shaping research ideas and experimenting with models, to deploying, optimizing, and maintaining them in production.
Solve Real-World Data Problems: Tackle real-world "data-problems" to improve the reliability and accuracy of our production evaluations.
Optimize Runtime & Inference: Improve latency, throughput, and cost efficiency of our model serving stack. Think in terms of real traffic, constraints, and SLAs.
Staying Scientific: Proactively stay updated on the latest developments in NLP and AI technologies, ensuring our approaches remain at the industry's forefront.

We are looking for an AI Builder to design, build, and maintain agentic AI-driven workflows that streamline and automate internal business processes across the company.
This role focuses on initiating and orchestrating AI agents, integrating them with existing systems, and reducing manual effort across Sales, Marketing, Order Management, Finance, HR, and more.
You will work closely with the Information Systems team and business stakeholders to turn repetitive, human-dependent processes into reliable, AI-powered flows.
This is a hands-on builder role, not a research or pure data science position.
Key Responsibilities:
Agentic AI & Automation:
Design and implement agent-based AI workflows to automate internal processes end-to-end
Build multi-step AI agents capable of:
Decision-making
Tool usage (APIs, SaaS tools, internal systems)
Escalation and exception handling
Continuously optimize AI flows to reduce human involvement while maintaining control and auditability
AI Tooling & Platforms:
Implement solutions using Agentic AI platforms, tools and frameworks, such as: OpenAI / Azure OpenAI / Copilot Studio / Gemini Enterprise, AWS bedrock (AgentCore), SFDC Agentforce
Low-code / no-code automation tools with AI capabilities (e.g., Make, Workato, UiPath, n8n)
Select and evaluate new AI tools to support internal automation initiatives
Systems Integration:
Integrate AI agents with internal systems such as: CRM (SFDC), ERP (NetSuite), ticketing systems (Jira)
Identity and access management
Monitoring, logging, and knowledge bases
Build and consume APIs to enable agent actions and data retrieval
Governance, Reliability & Security:
Ensure AI workflows comply with security, privacy, and compliance requirements
Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed
Monitor AI performance, errors, hallucinations, and drift
Collaboration & Enablement:
Partner with business owners to identify automation opportunities
Translate business requirements into AI-driven solutions
Document AI flows, decision logic, and operational runbooks
Educate internal teams on AI capabilities and limitations.

looking for a Strategic Supplier Account Lead to join our team

The Account Lead acts as the single point of accountability for supplier performance across multiple product lines.

The role is responsible for the end-to-end commercial, operational, and strategic management of a key Contract Manufacturing supplier, ensuring alignment with business, product, and manufacturing strategies.

Key Responsibilities :

Strategic Supplier Ownership - Own the overall relationship with the supplier, including governance, business reviews, performance management, and long-term alignment.

Assurance of Supply & Execution - Ensure reliable material and build availability, monitor delivery KPIs, manage risks .

Commercial & Cost Management - Lead pricing, cost roadmap, CI/CR initiatives, and negotiations.

PO, Systems & Data Accuracy - Execute and manage POs and GRs, ensure accuracy of pricing,

Supplier Performance & Capacity Management - Drive performance against KPIs , manage capacity, flexibility, and readiness to support demand changes.

Change, Lifecycle & Risk Management - Manage ECOs, lead time improvements, and EOL events.

Contract & Exposure Management - Lead supplier contract activities with Legal .

Sourcing & Business Continuity - Support sourcing decisions, dual-source strategies, and maintain robust BCP covering operational, financial, and geopolitical risks.

Invoice & Commercial Escalations