Jobs at HopHR

Lead system-level analysis of automotive E/E and MCU architectures, engage OEMs/Tier1s, drive HW/SW tradeoffs and innovative concepts, and align product requirements with marketing and product teams.

As a Senior Technical Recruiter, you will lead full-cycle searches for technical roles, develop client relationships, and integrate AI into recruiting workflows while learning and growing into a Principal role.

As a Principal Technical Recruiter, you'll lead high-level searches while integrating AI into recruiting workflows, manage client relationships, and coach on using the AI recruiting platform, Moon Engine.

Serve as the SVP's right hand for Healthcare Analytics by managing budgets and ROI, running operational rhythms (recruiting, onboarding, meetings), producing executive communications, supporting strategic planning and talent processes, coordinating cross-functionally, and resolving blockers to ensure delivery and alignment.

Design, build, and maintain full-stack internal business systems using Java/Spring Boot backends, React/TypeScript frontends, PostgreSQL databases, Docker, and CI/CD. Collaborate on architecture, implement APIs and schema changes, ensure code quality, reliability, and work with distributed teams to deliver enterprise applications.

Design, build, and maintain full-stack applications using Java/Spring Boot backends and React/TypeScript frontends. Implement APIs, relational database schemas (PostgreSQL), containerize with Docker, and work within CI/CD pipelines while collaborating with senior engineers and distributed teams.

Lead global backend engineering for SoC and MCU programs from RTL to GDS, ensuring on-time tape-out meeting PPA targets. Scale distributed teams, standardize flows and methodologies, enable advanced-node signoff, partner with foundries and EDA vendors, and drive metrics-based execution and quality across concurrent programs.

The Product Owner will manage the backlog and strategy for enterprise systems, ensuring alignment between teams and driving clarity in evolving requirements. Responsibilities include prioritizing features, leading agile processes, integrating AI solutions, and collaborating with cross-functional teams to deliver business value.

As a Staff Engineer, you'll develop and optimize AI models for autonomous agentic systems, collaborating across hardware, software, and product teams.

You will build and maintain ML models, apply NLP techniques, design experiments, and partner with engineering for model deployment.

Lead a high-performing data engineering team to deliver scalable data solutions, drive architectural decisions, and integrate emerging technologies like AI into data workflows.

The Head of Application Development will lead the development team, establish best practices, and implement innovative technologies to align with business needs.

Define architectural vision for AI systems, create original products, evaluate new paradigms, and set engineering standards within a senior engineering team.

Lead the UX/UI design of complex, data-intensive enterprise applications. Responsibilities include end-to-end design, building prototypes, and maintaining a design system while collaborating with stakeholders and ensuring accessibility standards.

Lead and develop robust data solutions, manage projects, mentor team members, and collaborate with AI/ML teams to enhance business decisions.

Lead the full lifecycle of AI-driven agentic systems, collaborate across teams to embed AI capabilities in smart devices, and optimize performance and reliability.

Manage CVS Health's data partnerships and monetization strategy, source new partnerships, ensure operational success, and drive data product adoption across analytics teams.

The Senior AI Engineer will architect LLM agents, drive ML lifecycle processes, build GenAI solutions, and lead a data engineering team. Responsibilities include overseeing data architecture, scalable deployments, and mentoring.

Develop and maintain LLM pipelines, design RAG architectures, implement agentic systems, and integrate AI features into data pipelines.