דרושים » תוכנה » ML Software Engineer

The AI Engineering group builds modern infrastructure and solutions that improve how algorithms are developed at our company.
We are a small, independent team of experienced engineers with a mix of skills in algorithms, software, and infrastructure. We work in a DevOps style and build cross-team solutions that support research and development of advanced perception algorithms.
Our flagship project is a unified AV dataset used to train and evaluate next-generation models. We take large volumes of multi-camera video, object labels, HD maps, and sensor data from across the organization, and turn it into a curated, high-quality training set - at scale.
We are looking for someone who brings ML and computer-vision depth to the team - someone who can help shape the intelligence layer that decides what data is worth training on.
What will your job look like:
Work collaboratively with shared ownership. Your focus area will be the curation and ML side of our data pipeline, but you will contribute across the full stack alongside the rest of the team.
Build and improve the curation pipeline - from vision-model embeddings and scene detection, through VLM-based scene analysis, to scoring, deduplication, and sampling that produces a balanced and diverse dataset.
Run and optimize GPU inference at scale (embedding extraction, VLM inference) across thousands of driving sessions using workflow orchestration.
Develop scoring and sampling strategies that ensure rare but important scenarios (night driving, adverse weather, hazardous situations) are well-represented in the final dataset.
Work with algorithm teams to understand what data gaps hurt model performance and translate those into curation criteria.
Build validation and diagnostics that measure dataset quality - not just pipeline health, but whether the data is actually good for training.
Contribute to the core dataset SDK, converter, and 3D-geometry tooling (camera projection, calibration, coordinate transforms).

we are transforming the way the world drives - from advanced driver assistance systems (ADAS) to fully autonomous vehicles. We are looking for a Senior Customer Solutions Engineer to join us at the forefront of this revolution and work hands‑on with some of the worlds leading automotive manufacturers.
This role is ideal for a highly technical engineer who enjoys customer interaction, system‑level problem solving, and real-world impact, and who wants to own the technical interface between our companys cutting‑edge technology and our customers.
What will your job look like:
Act as a technical authority and subject‑matter expert for our company Driving Functions, ADAS, and AV solutions in front of customers.
Own the end‑to‑end technical engagement with customers, including system understanding, issue analysis, solution definition, and follow‑up.
Work closely with algorithmic engineering, product, R&D, and program teams to drive customer issue investigation and resolution.
Gather, analyze, and translate customer feedback and real‑world insights into clear technical requirements and product inputs.
Lead and support software version integration, validation, and delivery to customers, ensuring alignment between our company core capabilities and customer use cases.
Take an active role in cross‑functional collaboration with Product, Sales, Marketing, and Engineering teams.
Proactively contribute to process improvement and technical workflow optimization across teams.
Work directly with leading OEMs through technical workshops, test drives, system tuning sessions, and on‑site support.
Build and maintain long‑term, trusted technical relationships with customers.

we are looking for a driven and technically fluent Product Manager to join the MECI Group within the Software Engineering organization. The MECI Group enables our companys algorithmic development flow by building scalable CI, build, test, and AI-driven tooling that supports the full development lifecycle. Our platforms allow our company to scale efficiently and increase development velocity, while maintaining high standards of reliability, collaboration, and developer well-being. As a Product Manager in MECI, you will own and evolve core internal platforms that are foundational to how our company develops, validates, and delivers algorithms. This role sits at the intersection of engineering, infrastructure, and developer experience, with broad impact across Algo, Validation, and Platform teams.
Why this role is unique
This role offers end-to-end ownership of products that are central to our companys development ecosystem. You will lead products spanning development workflows, build and test systems, platform services, and AI-assisted tooling, operating across multiple teams and technical domains. The role combines strategic product leadership with hands-on collaboration in a highly technical environment, where scale, performance, and reliability are critical. Youll work closely with engineering leaders and cross-functional stakeholders to identify high-impact problems, define clear priorities, and drive delivery of solutions that measurably improve productivity, platform stability, and developer experience.
What your job will look like:
Own the product vision, strategy, and roadmap for key MECI platforms and capabilities
Drive cross-organizational alignment on platform priorities, architectural evolution, and adoption strategy
Translate needs from Algo developers, Validation teams, CI users, and Infrastructure stakeholders into clear product requirements, specifications, and user flows
Lead the full product lifecycle - from discovery and problem definition, through design and implementation, to rollout, monitoring, and continuous improvement
Maintain ongoing engagement with users to deeply understand workflows, pain points, operational constraints, and opportunities for improvement
Partner closely with engineering leadership on prioritization, scope, and delivery, balancing short-term needs with long-term platform health
Contribute to building a culture of collaboration, ownership, and sustainable development, with attention to developer well-being.

You will be part of our company's REM department, which is responsible for the automatic High-Definition map-making process, a key technology in our autonomous driving and advanced driver-assistance systems.
This process involves running advanced algorithmic code in a massively parallel way, utilizing Big Data technologies, and managing a complex system that requires both technical depth and strategic thinking.
We are seeking a Backend & Data Engineer to join our Innovation Team within our Mapping Division. This role is best suited for engineers with strong system-level thinking, a can-do approach, and a hands-on mindset, with the ability to design, build, and optimize complex systems operating at scale.
What your job will look like:
Develop and maintain backend and data-processing components in large-scale systems
Design, implement, and optimize data pipelines and distributed processing flows
Work with large-scale storage systems (e.g., S3) and high-volume data access patterns
Optimize systems and code across multiple layers - from architecture to implementation
Identify performance bottlenecks, debug complex issues, and drive root-cause solutions
Work across teams and domains, reading, improving, and refactoring existing code
Take part in technical design and decision-making, balancing performance, scalability, and maintainability.

we are looking for an experienced Software and Integration Engineer to join the CTO group and take a key role in delivering robust, large-scale autonomous driving software.
The group is primarily focused on the decision-making module of our company's self-driving car. It leverages a wide range of algorithmic approaches, rigorous formal definitions, and mathematical modeling- enriched by insights drawn from large-scale data and real-world driving experience.
In this role you will play a key role in designing, building, and maintaining Algo utility and software infrastructure within the company's primary algorithmic flow.
What will your job look like:
Take part in technical design and decision-making, balancing performance, scalability, and maintainability.
Debugging real-time oriented code while adhering to high standards of memory management and running-time requirements.
Manage the groups software delivery, ensuring timely, high‑quality releases.
Opportunities to work on cutting-edge projects and technologies in the autonomous driving industry.
Working closely with external algo teams and various departments in our company for requirement gathering and the correct integration of new features.

You will be part of our company's REM department, which is responsible for the automatic High-Definition map-making process, a key technology in our autonomous driving and advanced driver-assistance systems.
This process involves running advanced algorithmic code in a massively parallel way, utilizing Big Data technologies, and managing a complex system that requires both technical depth and strategic thinking.
We are seeking a Backend & infrastructure engineer to join our Innovation Team within our Mapping Division. This role is best suited for engineers with strong system-level thinking, a can-do approach, and a hands-on mindset, with the ability to design, build, and optimize complex systems operating at scale.
What your job will look like:
Develop and maintain backend and data-processing components in large-scale systems
Design, implement, and optimize data pipelines and distributed processing flows
Work with large-scale storage systems (e.g., S3) and high-volume data access patterns
Optimize systems and code across multiple layers - from architecture to implementation
Identify performance bottlenecks, debug complex issues, and drive root-cause solutions
Work across teams and domains, reading, improving, and refactoring existing code
Take part in technical design and decision-making, balancing performance, scalability, and maintainability.

Which department will you join?
The Infra development team is a part of Software Algorithm (SW Algo) Department at our company responsible for the software infrastructure and development algo utilities for autonomous driving algorithm code running on our company's platform. As part of the end-to-end autonomous vehicle flows, we get to see our code running in the most advanced algorithms and use cases, which are developed by our team and algorithm groups. The development environment is mostly based on C/C++ programming within computer vision domains.
As a Senior C++ Developer, you will play a key role in designing, building, and maintaining Algo utility and software infrastructure within the company's primary algorithmic flow.
** This role may offer the flexibility to work one day per week from our other sites, subject to seat availability.
What will your job look like:
Leading the development of high-performance applications using C++ and optimizing the existing codebase for efficiency and scalability
Collaborating with multiple departments in our company to acquire broad insights into algorithmic and technical details, ensuring seamless integration with the overall system
Debugging real-time oriented code while adhering to high standards of memory management and running-time requirements
Working closely with external algo teams and various departments in our company for requirement gathering and the correct integration of new features
Engaging with different environments in our company's software stack, including backend and middleware, to ensure the smooth operation of the software infrastructure
Opportunities to work on cutting-edge projects and technologies in the autonomous driving industry
Exposure to advanced algorithms and use cases, showcasing your expertise to a wide audience
Collaboration with a talented and passionate team of developers, algorithm engineers, and other professionals.

Required Research Scientist - Audiovisual Understanding, Model Foundations
Team & role
The Core Generative AI team is a unified group of researchers and engineers dedicated to developing our generative foundational models that serve LTX Studio, our AI-based video creation platform. Our focus is on creating a controllable, cutting-edge video generative model by merging cutting-edge algorithms with exceptional engineering. This involves enhancing machine learning components within our sophisticated internal training framework, crucial for developing advanced models. We specialize in both research and engineering that enable efficient and scalable training and inference, allowing us to deliver state-of-the-art AI-generated video models.
As a Large Scale Video Understanding Research Scientist, you will play a key role in improving video generation quality and efficiency by improving video and audio understanding pipelines used for both training data construction and model evaluation.. This role demands hands-on work with large-scale Video Language Models (VLLMs), including fine-tuning, post-training, and control, alongside implementing classic computer vision and signal processing algorithms and applying strong research skills. Your expertise in post-training and controlling large scale foundational models, understanding statistics, implementing complex systems and eliminating bugs will be crucial, as our video training sets consist of petabytes of data processed across hundreds to thousands of virtual machines.
What you will be doing:
Fine-tune and control VLLMs for video and audio understanding.
Design algorithms for balancing, filtering, and curating training and evaluation datasets, informed by model behavior and failure modes.
Implement classic and modern algorithms for processing, clustering, evaluation and filtering of large scale datasets.
Work within high-performance, scalable distributed systems capable of handling petabytes of data, with attention to throughput, correctness, and reproducibility..
Collaborate with other researchers and product stakeholders to iteratively improve training sets and evaluation protocols through tight feedback loops driven by model performance.

Required Research Scientist - LTX Model Evaluation
The Role
As a Research Scientist in Model Evaluation, you are the ultimate authority on model quality and utility. You will design the automated judges, reward models, evaluation datasets, and benchmarking ecosystems that determine the future of LTX. Your mission is to provide the "ground truth" for our pre-training and post-training teams. You will blend the rigor of a researcher with the intuition of a product-thinker, developing metrics that capture both the aesthetic soul of a video and the functional precision required for high-stakes professional use.
Key Responsibilities:
Steer Training & Research: Systematically evaluate model checkpoints to provide actionable insights that guide training experiments and architectural decisions.
Design Benchmark Ecosystems: Develop and run rigorous benchmarks for release candidates against competitive models, ensuring LTX-2 remains world-class.
Build Next-Gen Metrics: Develop robust automatic metrics and Reward Models (e.g., for RL, ITS, auto-research agents) that quantify complex attributes like temporal coherence, physical correctness, spatial accuracy, and foley synchronization.
Diagnose & Analyze: Perform deep root-cause analysis on model failures, providing the diagnostic clarity needed for researchers to implement targeted fixes.
Scale Evaluation: Collaborate with platform engineers to deploy evaluation frameworks across large-scale GPU clusters.

Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Mobileyes AV group is transforming mobility both by [1] bringing cutting-edge, safe-by-design premium ADAS and self-driving technology as well as a complete, modular solution with flexible business models to the market; and [2] creating an accessible, safe, environmentally-friendly, and affordable experience for passengers based on our self-driving technology.
our company field engineer is the connecting link between our company and its customers, the car manufacturer (OEM) and the integration partner (Tier 1). As such, the field engineer provides the first line of technical support, analysis, and integration in the development of next-generation semi-autonomous driving systems.
What will you do?
The field engineer will relocate abroad and work alongside the development teams of a leading international automotive company. The field engineer will be the liaison between our company and the customer and hold a key role in our company's development projects providing the customer with direct technical support. As such, the field engineer will have an influence on the design and application of advanced vision based semi-autonomous driving systems, eventually installed in millions of cars worldwide.
The position will be based in Berlin ,Germany,
What will your job look like?
Ability to understand the entire company system and solve the customer problems
Installing various company systems on evaluation and development vehicles
Performing and supervising test drives on an open road and test tracks
Testing performance and quality of the vision system and other sensor
Supporting system integration efforts with deep "bits and bytes" understanding of the entire system
Providing expert support and training for the engineering teams on site
The position includes office work, support at vehicle production lines and integration facilities
Tasks also include long test drives and travel to additional countries
Drive the AV in both automated and manual mode on open roads and test tracks
Inspecting and maintaining any malfunctions in the test vehicle
Gather information and upload it to the database
Support new systems installation in the vehicle
Testing and validating end-to-end AV functionality
Close collaboration with the AV development, validation and algorithm teams
Providing expert AV test reports
Representing the company in customer demonstrations.