HERE Technologies

Bengaluru
Total Offices: 4
6,000 Total Employees
Year Founded: 1985

HERE Technologies Offices

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 2 days a week

Global Office Locations

Bengaluru

RMZ Eco Space, Unit No- 501 Campus 1C, 5th Floor Sarjapur Outer Ring Road, Bengaluru, India, 560103

Gurugram

22nd Floor, DLF Epitome, Building No 5, Tower A, DLF Cyber City Phase 2, Sector 25, Gurugram, India, 122002

Mumbai

11th Floor, B Wing, Nesco IT Park - Tower 4 Western Express Highway, Mumbai, India, 400063

Navi Mumbai

Unit No. 901, 9th Floor, Building No. 4, M/S Gigaplex Estate Private Limited-SEZ, Navi Mumbai, India, 400708

2 Days AgoSaved
Hybrid
Mumbai, Maharashtra, IND
Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
Leads technical product management for engineering services supporting digital map data extraction, processing, merging, and validation. Translates stakeholder needs into technical requirements and acceptance criteria, manages roadmaps, requirement intake, software issues, risks, dependencies, and delivery plans. Partners with engineering leadership and teams to solve complex problems and ensure end-to-end execution.
5 Days AgoSaved
Hybrid
Mumbai, Maharashtra, IND
Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
Develop statistical, experimental design, sampling, analytics, and machine learning solutions to measure and improve HD map and location product quality. Build quality estimators, A/B experiments, data workflows, computing tools, and models while collaborating with map experts, engineers, and data scientists. The role focuses on reliable quality measurement, uncertainty analysis, and data-driven process improvement.
6 Days AgoSaved
Hybrid
Mumbai, Maharashtra, IND
Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
Build and lead production AI/ML components, including embeddings, retrieval, agents, and multimodal systems, for reuse across domain teams. Translate architectural direction into technical specifications and production-ready implementations, make implementation-level decisions, identify scalability issues, and mentor engineers. The role requires deep expertise in representation learning, vector search, retrieval-augmented systems, deep learning, LLMs, agent frameworks, distributed systems, and ML engineering.