Top Tech Jobs & Startup Jobs

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.

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 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.