Top Tech Jobs & Startup Jobs

Lead the development of telematics software solutions, acting as a technical interface, ensuring product quality, and managing the software lifecycle.

Define and specify system architecture for connectivity/telematics projects, lead technical presentations, develop system and functional safety concepts, collaborate across HW/SW/ME disciplines, guide architects and verify deliverables from RFI/RFQ through product development.

The Program Manager will manage customer interfaces, lead product development, and ensure quality in delivery across global teams.

Lead product differentiation and strategy for wireless audio products, manage P&L, connect with regional teams, and drive international market growth.

Lead HARMAN's corporate development for consumer electronics and digital commerce, focusing on M&A, partnerships, and venture investments in agentic AI and e-commerce. Build deal pipeline, evaluate build/buy/partner decisions, lead due diligence and negotiations, present recommendations to leadership, and maintain external networks across retailers, platforms, startups, VC, and investment banks while collaborating with cross-functional teams.

Designs electronic hardware for audio systems, drives cost optimization, collaborates on improvements, troubleshoots issues, and supports project management initiatives.

The Manager of New Business Sales will grow HARMAN's automotive business, engage customers, oversee sales specialists, and meet sales targets.

Responsible for launching new projects, ensuring mass production in speaker testing, reviewing product designs, troubleshooting, and training production staff.

The candidate will develop diagnostic applications for AUTOSAR Adaptive, collaborate with international counterparts, and develop unit tests.

Design, deploy, and operate end-to-end MLOps pipelines and cloud-native infrastructure. Build CI/CD for model training and deployment, containerize workloads with Docker/Kubernetes, implement IaC with Terraform, monitor model performance and drift, optimize inference latency, and collaborate with data scientists and engineering teams to integrate ML into production systems.