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We are seeking a highly skilled and detail-oriented Validation Engineer to evaluate the quality, correctness, and performance of our algorithms.
While test execution is part of the role, your primary focus will be to design and develop robust testing strategies, building validation frameworks, identifying critical gaps, and ensuring that our algorithms meet the highest standards of accuracy and reliability.
What will your job look like:
Proactively identify gaps in algorithm performance, logic, and quality. Think critically and deeply about edge cases, failure modes, and potential areas where algorithms might deviate from expected behavior.
Use analytical rigor to determine the most important validation priorities, balancing algorithmic accuracy with the urgency of business needs.
Develop and implement test frameworks to validate algorithm functionality, accuracy, and performance.
Identify gaps in algorithm logic, quality, and failure modes, conduct root cause analysis, and drive corrective actions.
Collaborate with the algorithm development team to define test strategies based on in-depth understanding of the algorithm logic and business requirements.
Innovate new testing methods, define and prioritize test strategies based on risk, impact, and business needs.
Apply analytical skills to solve complex algorithmic challenges and enhance reliability.
Identify opportunities for process improvements, automating manual workflows and introducing innovative approaches to algorithm validation.
Automate testing with CI/CD tools like Jenkins to ensure continuous validation.

The Core Generative AI team at our company 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 Training Engineer, you will play a key role in enhancing the training throughput of our internal framework and enabling researchers to pioneer new model concepts. This role demands excellent engineering skills for designing, implementing, and optimizing cutting-edge AI models, alongside writing robust machine learning code and deeply understanding supercomputer performance. Your expertise in performance optimization, understanding distributed systems, and bug elimination will be crucial, as our framework supports extensive computations across numerous virtual machines.
This role is designed for individuals who are not only technically proficient but also deeply passionate about pushing the boundaries of AI and machine learning through innovative engineering and collaborative research.
Key Responsibilities
Profile and optimize the training process to ensure efficiency and effectiveness, including optimizing multimodal data pipelines and data storage methods.
Develop high-performance TPU/CPU kernels and integrate advanced techniques into our training framework to maximize hardware efficiency.
Utilize knowledge of hardware features to make aggressive optimizations and advise on hardware/software co-designs.
Collaboratively develop model architectures with researchers that facilitate efficient training and inference.

we are seeking a highly technical and experienced Vice President of Engineering to lead the Development Infrastructure Group, a team of over 180 engineers, project/product managers, and support engineers. This role is responsible for the architecture, development, and operational excellence of our companys core infrastructure that powers big data processing, high-performance cloud computing, and large-scale re-simulation for autonomous vehicle development. The ideal candidate will have a strong technical background in software engineering, distributed systems, cloud computing, and data engineering, along with a proven ability to manage large teams and budgets in a fast-paced environment.
What your job will look like;
Provide technical vision and strategic direction for all three infrastructure domains.
Participate in design and architecture discussions, ensuring technical trade-offs align with business goals.
Conduct code reviews, mentor engineers, and ensure best practices in software development.
Interface with top management, internal stakeholders, and external customers, advocating for infrastructure improvements and driving adoption of advanced technologies.
Identify and implement best practices in CI/CD, observability, security, and automation.
Architect and manage high-performance computing (HPC) infrastructure for large-scale machine learning training and validation workloads.
Lead the development of internal cloud services and SaaS solutions that enable our companys customers to access essential tools and applications.
Ensure efficient use of Kubernetes, Argo Workflows, Terraform, and cloud-based GPU computing (AWS, GCP, Azure).
Oversee the development of real-time simulation platforms for autonomous vehicle testing and enable the simulation of thousands of hours of drives in offline environments.
Guide engineering efforts in low-level, high-performance software development, data center software optimization, and parallel computing.
Oversee the development of end-to-end data pipelines from ingestion to access by internal and external customers.
Define and optimize data models for cataloging and data lakes.
Drive the use of Apache Spark, Hadoop, Kafka, Parquet, and Delta Lake for efficient data processing and storage.

our companys CTO Group is looking for experienced Algorithm Researchers and Developers to join our team!
Which department will you join?
The CTO Group is a small, elite group, whose goal is to build next-generation algorithmic solutions powering our companys self-driving car, crowd-sourced HD maps, and advanced driver-assistance systems.
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.
The group is comprised of top-notch developers and researchers and is headed by world-class scientists.
This is a unique opportunity for a passionate technical leader to join the CTO Group, work closely with the CTO on next-generation projects, develop POCs using cutting-edge technologies, shape our technology vision and provide thought leadership to our technical community.
What will your job look like:
Mathematical modeling and abstraction of real-life problems.
Research, design and develop innovative algorithmic solutions.
Code design, implementation, and hands-on development.

Which department will you join?
our company's High-Performance Computing (HPC) Team works with cutting-edge technologies to handle our immense Storage requirements. The HPC Team also leads our extensive Linux infrastructure design.
In our multiple data centers, we prioritize innovation and reliability, constantly exploring the latest developments in storage technology to implement large-scale, advanced and high-performance solutions.
We are looking for a skilled Senior Storage Engineer who is passionate about service excellence and eager to join a dynamic team.
Join our companys HPC Team and be a key player in shaping the exciting infrastructure that underpins our autonomous driving future!
How will your job look like?
Manage and maintain our companys heterogeneous data center Storage and HPC infrastructure
Collaborate with development teams to fully understand their requirements and design storage architectures that meet those needs
Architect and maintain next-generation distributed storage systems, including object storage, file storage, and more
Tackle complex challenges and demonstrate advanced problem-solving skills in high-availability environments
Operate within complex, mission-critical data centers, working alongside domain experts to ensure optimal performance of Storage and HPC solutions
Perform planning, performance tuning, optimization, hardware/firmware configuration, and device hardening.

We are hiring Software Developers (0-3 years of experience) to join multiple teams across our products, including:
Facetune (Mobile): A leading photo-editing app powered by advanced AI models.
Photo & Video Apps (Mobile): Award-winning editing tools for both professional creators and casual users.
LTX Studio (Web): Our newest AI-powered video creation platform, enabling anyone to turn an idea into a full production.
Popular Pays (Web): A large-scale influencer marketing platform, including AI agents, event-driven architectures, and deep integrations with social media APIs.
As a Software Developer at our company, youll work on cutting-edge AI-driven applications, contributing to high-performance, scalable systems that reach millions of users worldwide. This role offers mentorship, hands-on experience with diverse technologies, and continuous learning opportunities in an innovative, fast-paced, AI-driven environment.
What you will be doing
Develop features and functionalities for mobile or web applications, working on both front-end and back-end components.
Participate in software design discussions to create scalable architectures and intuitive user experiences.
Write clean, maintainable, and testable code, ensuring software quality and reliability.
Optimize performance for real-time AI-driven applications, handling high-resolution images, videos, and complex data processing.
Collaborate with AI researchers to integrate state-of-the-art machine learning models into production-ready applications.
Conduct code reviews and contribute to team discussions on software improvements.

The Cloud team of the Development Infrastructure (DI) department is responsible for our company's Cloud infrastructure on AWS and Google Cloud. We develop mainly in Python, and some Golang. We are developing highly efficient systems for the company, running on up to 700K CPUs, processing hundreds of Petabytes of data monthly collected from all the over the world. We also provide networking, security, governance, support and guidance for all of our company's diverse uses of AWS across tens of AWS accounts, including AWS China. 
What will your job look like?
Take part in the design, development, deployment, and maintenance of our company's main cloud systems: Backend and python packages
Hyper-scale batch processing framework, spinning up hundreds of thousands of parallel computation CPU
Ssystems to ingest, store and manage data from cameras and other sensors, of exceptional volumes - 100 PB and more
Collaborate with different groups in our company, including Algorithms, Software and Validation
Deliver a high quality product, fully developed by our team Work with highly experienced developers, architects and AWS experts.
Work tightly with AWS teams, bringing their services to the edge - S3, EC2, Spot, EBS, ECS, Batch, DynamoDB, CW
Build systems and tools using AWS Lambda, RDS, CloudFormation/Terraform and moreSee your product being used by hundreds of users, where every improvement, optimization and new feature can be critical to the development of autonomous vehicles and car safety systems.

As an ML Engineer, you will play a crucial role in shaping the system design, backend architecture, and overall performance of our companys ML inference systems. We collaborate with cross-functional teams, including designers, developers, and researchers. The role offers the chance to significantly impact our companys core production systems. Youll have the opportunity to develop and optimize critical backend features and work across diverse technical areas, contributing directly to the company's success. This hands-on role involves working extensively with Python, ComfyUI, system optimizations, and cloud infrastructure.
This position is perfect for a skilled backend engineer passionate about driving efficiency and innovation in machine learning.
Responsibilities
Design and optimize backend systems to support efficient ML model inference
Work with cloud infrastructure, networking, and both CPU and GPU architecture
Enhance the efficiency and observability of our inference engine, supporting various high-demand applications
Collaborate closely with engine users, designers, developers, and researchers to refine and improve system capabilities
Contribute to the ComfyUI codebase, ensuring a scalable, user-friendly interface for machine learning operations
Navigating and contributing to a large, complex existing codebase
Addressing complex issues with creativity and efficiency.

Were seeking an LLM-Solutions Engineer to join our AI Lab & Internal Tools team. In this role, youll focus on leveraging language models alongside other generative models to create innovative solutions, prototypes, and tools that enhance creativity and productivity across our products. Youll work closely with cross-functional team members to develop workflows, integrate LLMs into projects, and ensure their seamless functionality within the teams experimental projects and tools.
Success in this position will require a strong mix of the following qualities: resourcefulness, independence, self-motivation, technical expertise, creativity, solution orientation, high energy, and passion.
What you will be doing
Design and implement solutions using LLMs, including prompt engineering, fine-tuning, and integration into workflows.
Build and optimize LLM-powered features to enhance creative workflows and automate internal processes.
Collaborate with Creative AI Specialists and the team lead to develop AI prototypes and tools that bring value to users and the team.
Experiment with emerging AI technologies to identify new opportunities and applications.
Translate complex AI capabilities into practical, user-friendly solutions.
Work with dedicated developers to ensure smooth integration and scalability of LLM-based features.

our company's AV Group is looking for an Integration and CI Engineer to help shape the future of autonomous driving. Join our dynamic team of talented engineers responsible for delivering cutting-edge Autonomous Vehicle (AV) applications, advanced control systems, and simulation environments that drive our companys groundbreaking L2+ to L4 autonomous platforms.
What will your job look like?
Manage version releases and ensure timely delivery of AV products to stakeholders
Utilize Git and GitLab for version control to manage and track changes in the software development lifecycle
Collaborate with developers to integrate software components into a cohesive whole
Analyze source code and test scenarios to identify, prioritize, and resolve integration issues
Debug issues in the production platforms, which may involve multiple domains
Build robust CI solutions utilizing Git, GitLab, Python, Shell scripting, Jenkins, and Docker
Develop and maintain scripts and pipelines for diverse development and validation teams
Contribute to the enhancement and development of our AV infrastructure and core code.