O

Ottometric Tech Stack

Data platform for autonomous vehicle validation and scenario management

IT Services and IT Consulting Waltham, MA 11–50 employees Founded 2018 Privately Held

Ottometric processes petabyte-scale sensor data (lidar, radar, video) for autonomous vehicle development. The stack—Apache Iceberg, Spark, Trino, vector DBs (Pinecone, Milvus, Weaviate), and LLMs (GPT-4, Claude, Llama 3)—reveals a company solving two hard problems simultaneously: lakehouse architecture for massive multimodal datasets AND RAG/LLM pipelines for scenario intelligence. The hiring shape (3 data roles, 1 engineer, 1 sales director at principal/director level) and active deceleration signal a product-market fit phase; they're scaling validation workflows, not chasing headcount.

Tech Stack 22 technologies

Core StackApache Iceberg Apache Spark Trino AWS Hadoop Pinecone Weaviate Python LangChain PyTorch TensorFlow HDFS Presto Parquet Avro Azure GCP Milvus GPT-4 Claude Llama 3 LlamaIndex

What Ottometric Is Building

◆Challenges

Optimizing indexing for lidar and radar
Petabyte sensor data storage
Transitioning to lakehouse architecture
Scaling sales model
Expanding reach
Storing and querying petabytes of sensor data
Vehicle log replay
Indexing high-dimensional sensor data

▲Active Projects

Custom partitioning and indexing for lidar, radar, video
Data deduplication and intelligent tiering algorithms
Transitioning data infrastructure to lakehouse
Open lakehouse architecture transition
Next-generation data lakehouse for adas/av
Rag pipeline optimization
Llm fine-tuning
Data engineering for proprietary datasets

Hiring Activity

Decelerating5 roles · 1 in 30d

Department

Data

3

Engineering

1

Sales

1

Seniority

Principal

3

Director

1

Intern

1

Notable leadership hires: Sales Director

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About Ottometric

Ottometric builds a data platform for OEMs and Tier-1 suppliers developing advanced driver-assistance systems (ADAS) and autonomous vehicles. The product ingests, curates, and transforms real-world driving data into traceable, KPI-ready scenarios for validation and safety compliance. It spans three layers: secure data ingestion with lineage tracking; KPI computation and root-cause analysis; and applications for collection optimization and visual review. Founded in 2018 and based in Waltham, MA, the company operates with 11–50 employees and is actively hiring data and leadership roles across Serbia and the United Kingdom.

HeadquartersWaltham, MA

Company Size11–50 employees

Founded2018

Hiring MarketsSerbia, United Kingdom

Frequently Asked Questions

What tech stack does Ottometric use?

Apache Iceberg, Spark, Trino, Hadoop, HDFS, Parquet, Avro, AWS/Azure/GCP, Pinecone, Milvus, Weaviate, GPT-4, Claude, Llama 3, Python, LangChain, PyTorch, and TensorFlow.

What data challenges is Ottometric solving?

Petabyte-scale sensor storage (lidar, radar, video), high-dimensional indexing, deduplication, and intelligent tiering. Active projects include custom partitioning, lakehouse migration, and RAG pipeline optimization.

Is Ottometric hiring?

Yes, 5 active roles focused on data (3), engineering (1), and sales (1) at principal/director levels. Hiring in Serbia and the United Kingdom with decelerating velocity.