Ottometric Serbia

Ottometric has radically transformed ADAS validation and AV training with a software platform that automates and streamlines the validation and training process, helping companies save millions $ in development costs, while improving system reliability and ultimately saving lives.

ottometric.com

Ottometric Serbia

ottometric.com

HQRS

Team Size9

Open Jobs1

Total Funding-

Latest FundraiseUnknown

TL;DR

What they do: Cloud platform for automating large-scale ADAS/AV data curation, scenario extraction, KPI computation, and evidence-first validation

Founded: 2019

Headquarters: Waltham, Massachusetts

Employees (approx.): 9

Funding (disclosed): $4.9M seed; $10M Series A

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Company Overview

Problem Domain

ADAS and autonomous vehicle (AV) validation and training using real‑world data

Founded

2019

Industry

Automotive software / ADAS & AV validation

Funding Track Record

Seed- 2023-01-18

$4.9M

Announced in early 2023; participation from Goodyear Ventures, Proeza Ventures, Trucks VC, Automotive Ventures and others

Series A- 2025-04-09

$10M

Series A announced April 2025; participation from existing and new investors

Investor Signal

“Participation from venture funds focused on mobility and automotive technology (including Schooner Capital, Rally Ventures, Proeza Ventures, Goodyear Ventures, PS27, Somersault Ventures, Trucks VC)”

Founders

What we do

Join the Team

Principal Data Architect (ADAS/AV Data Platforms)

On-SiteNovi Sad, Vojvodina, RS

On-Site • Novi Sad, Vojvodina, RS

As a Principal Data Architect, you will be the primary visionary for our global data strategy. You will tackle the "unsolved" problems of autonomous vehicle data: how to efficiently store, index, and query petabytes of high-dimensional, multi-modal sensor data.

You will lead the transition of our data infrastructure into a state-of-the-art Open Lakehouse

architecture, leveraging Apache Iceberg

and the Hadoop

ecosystem to create a deterministic, high-performance environment for ML research and safety-critical validation.

This role would require you to work for two years in our Serbian office, with the potential of then moving to the US office.

Core Responsibilities

Required Qualifications

Preferred Skills & "Edge" Expertise

Automotive Safety Standards:

Understanding of data integrity requirements for ISO 26262

or SOTIF

(Safety of the Intended Functionality).

How this role impacts our mission

In the AV world, the company with the best data loop wins. This role is not just about moving data; it’s about creating the mathematical and structural framework

that allows our engineers to find the "needle in the haystack"—the specific sensor frame that will help us solve the next great autonomous driving challenge.

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Mobile Developer

Full-timeNew York, US

Full-time • New York, US

Technical Writer

InternshipMunich, DE

Internship • Munich, DE

Backend Developer

ContractLondon, GB

Contract • London, GB

Data Scientist

InternshipCambridge, GB

Internship • Cambridge, GB

Software Engineer

InternshipCambridge, GB

Internship • Cambridge, GB

Mobile Developer

InternshipBerlin, DE

Internship • Berlin, DE

Architectural Innovation:

Lead the R&D and design of a next-generation data lakehouse that supports the unique requirements of ADAS/AV, including 4D spatial-temporal querying and multi-modal data fusion.

Deep Optimization:

Go beyond standard implementations of Apache Iceberg

to develop custom partitioning schemes, Z-ordering, and hidden indexing strategies tailored for LiDAR, radar, and video metadata.

Theoretical Leadership:

Apply advanced research in distributed systems to solve challenges regarding data consistency, deterministic "replay" of vehicle logs, and massive-scale data lineage.

Strategic Storage R&D:

Develop novel algorithms for data deduplication and "intelligent tiering," ensuring that rare "edge-case" driving data is preserved while optimizing the cost-to-performance ratio of the petabyte-scale lake.

Cross-Functional Research:

Partner with ML Research and Simulation teams to ensure the data architecture supports emerging paradigms like Foundation Models

and End-to-End Autonomous Driving

architectures.

Technical Mentorship:

Act as a high-level consultant and mentor to the broader Data Engineering organization, fostering an environment of analytical rigor and engineering excellence.

Education:

Master's or PHD in Computer Science, Database Systems

, or a related quantitative field.

Specialized Experience:

5+ years of experience in data systems, with a significant track record of designing large-scale distributed architectures.

Iceberg & Hadoop Internals:

Deep, "under-the-hood" knowledge of Apache Iceberg

(specification and implementation) and the Hadoop ecosystem

(HDFS, Spark, Trino/Presto).

Computational Foundations:

Expert-level understanding of query optimization, file format internals (Parquet/Avro), and the trade-offs of distributed consensus protocols.

Geospatial Mastery:

Experience with H3, S2, or other spatial indexing systems for high-frequency GPS and trajectory data.

Cloud Economics:

Proven ability to manage the financial architecture of massive cloud deployments (AWS/Azure/GCP).