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.

Our Machine Learning team is at the forefront of enabling and optimizing high-performance deep learning applications on edge devices. We are looking for a versatile and highly motivated Machine Learning Engineer with a strong R&D background to join our team.
This role requires a solid mathematical foundation, a passion for AI research, and the ability to quickly adapt to new technologies. You should feel comfortable reading and implementing academic papers while also being deeply system-orientedable to dive into hardware architecture, software toolchains, and customer applications as needed.
At our company, developing and deploying deep learning models is software-intensive, and candidates are expected to have strong programming skills in scientific computing. As an AI chip company, we highly value software-hardware integration skills, as our ultimate goal is to ensure seamless optimization for our processors.
Beyond technical expertise, we are looking for candidates who demonstrate:
Ownership and accountability taking initiative and responsibility for driving projects to completion.
Professionalism delivering high-quality work while staying up to date with the latest advancements in AI.
Teamwork collaborating effectively across teams to integrate AI solutions into real-world applications.
We encourage intellectual curiosity and a keen interest in exploring AI trends, discussing future directions, and staying informed about market developments. Candidates should enjoy working in an open, well-documented manner and be eager to present their work to peers and stakeholders.
Responsibilities
Develop and optimize Transformer-based and Generative AI models for deployment on our edge AI processors.
Stay at the forefront of Generative AI and NN computer vision research, driving innovation in edge AI applications.
Benchmark and enhance vision and generative models, ensuring seamless integration with our AI toolchain, through our Model Zoo.
Collaborate with architecture and other software teams to co-optimize models for our unique processing architecture.
Support and engage with tier-1 customers, guiding them in deploying and optimizing their AI models on our platform.

We are on the hunt for a Software Engineer who brings on board extensive experience across relevant software domains and is passionate about innovation. This is a golden opportunity to make your contribution to developing innovative technologies designed for integration into our elite consumer and data center products. As a part of our team, you will play an active role in patenting new knowledge and safeguarding our intellectual property.

Join us in pioneering the data center technologies of the future!

What will you be doing:
Design, implement, and deploy at-scale software infrastructure for training and testing AI algorithms for video processing.
Seamlessly integrate infrastructure with cloud services for AI training and testing, using containerization technology.
Define the system solutions for the infrastructure required for massively parallel testing of video applications.
Design, maintain, and enhance the software CI-CD infrastructure.
Cooperate with other software and hardware development teams.
Gather and address the requirements of the video hardware and software development teams across the company.

Required Software Engineer, Machine Learning
We are embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.
The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the worlds leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.
Software Engineer, Machine Learning Responsibilities
Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellence
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriate
Leading a team from a technical perspective to develop ML best practices and influence engineering culture
Be a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around it
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
Suggest, collect and synthesize requirements and create effective feature roadmap
Code deliverables in tandem with the engineering team.

We are looking for an experienced Algorithm Engineer to join our Vision Processor Unit (VPU) algorithm team.
In this role, you will be responsible for developing and optimizing both traditional image processing algorithms and AI-based solutions. You will take part in the full lifecycle of algorithm development, from research and prototyping to real-world implementation and optimization for high-performance systems.
Responsibilities
Develop and optimize image processing algorithms, including both traditional methods and AI-based approaches
Implement algorithms efficiently, ensuring high performance, scalability, and robustness in production systems.
Conduct performance analysis and identify areas for improvement in both algorithmic efficiency and system integration.
Work closely with cross-functional teams, including software engineers and system architects, to ensure optimal performance of algorithms on target platforms.

abra R&D is seeking an experienced Embedded Linux BSP Architect to define and oversee the architecture of software components, including infrastructure, before the application layer. This role involves managing generic tasks shared across different applications running on the same hardware platform, defining hardware-software interfaces, performing research and implementation for architecture validation. Responsibilities:
* Ensuring vendor support for the required operating systems.
* Working with device drivers, including enabling compilation for different Linux kernel versions.
* Handling Evaluation Boards (EVBs) for various components.
* Developing within Board Support Package (BSP) environments for SOM/SOC/Microcontrollers.
* Evaluating CPU/GPU processing capabilities and addressing memory bottlenecks.
* Writing C/C++ code samples for hardware interaction.
* Supporting hardware components with advanced capabilities, such as RDMA.
* Validating hardware performance against specifications.
* Configuring hardware components for data transfer across various BUS protocols (e.g., PCIe, LAN), including PCIe Bridges and LAN Switches configuration.

We are seeking a highly skilled and experienced Senior NLP Researcher to join our AI research team and drive the development of Dream's next-generation large language models (LLMs). The ideal candidate will have a strong background in NLP, deep learning, and applied research, with a passion for innovating and pushing the boundaries of generative AI technologies.
Responsibilities:
Conduct cutting-edge research in natural language processing and large language models.
Design, train, and optimize large-scale neural network models for advanced applications.
Transition research projects from ideation through deployment and scaling.
Collaborate closely with cross-functional teams, including domain experts, product managers, and engineers, to deliver impactful AI solutions.
Define and contribute to the AI and NLP product roadmap.

We are seeking a highly skilled Director of Software Engineering to lead our talented software development teams. In this pivotal role, you will be responsible for driving the technical vision and strategy of our software products while ensuring the delivery of high-quality solutions. You will collaborate with cross-functional teams to foster innovation, optimize processes, and mentor engineers, ultimately contributing to the success of our cutting-edge database technology.
Responsibilities:
Manage a geographically distributed group of very talented 10-20 developers
Develop and implement technical strategies that enhance product delivery and performance.
Foster a culture of continuous improvement, encouraging innovation and professional development among team members.
Collaborate with product management and other stakeholders to define project scope, timelines, and deliverables.
Monitor and evaluate the effectiveness of software development processes, implementing best practices as necessary.
Oversee the recruitment, training, and performance management of engineering staff, ensuring a high level of talent within the organization.
Act as a key decision-maker in technology choices and architecture, ensuring scalability and robustness of software solutions.
Provide technical guidance and mentorship to engineering teams, promoting best coding practices and collaboration.

We are seeking a skilled AI/ML engineer with strong software development skills to join our dynamic team. The ideal candidate will have experience in model evaluation, improvement, and analysis, as well as hands-on experience with AI and GENAI technologies. Knowledge of AWS and GPU computing is an advantage. Experience with RAG-based projects and vision language models is a significant advantage.
Key Responsibilities
Evaluate and improve machine learning models.
Perform statistical analysis and interpret model results.
Develop and implement AI models using Python.
Utilize AWS services for model deployment and management - advantage.
Leverage GPU computing for accelerated model training and inference - advantage.
Collaborate with cross-functional teams to integrate AI solutions into products.
Stay updated with the latest advancements in AI and machine learning.

We are looking for an experienced Machine Learning Engineer who is passionate about developing scalable and robust machine learning infrastructures and has a keen interest in leveraging advanced AI models to drive significant business impact. The job involves creating and maintaining high-performance model inference systems that support both batch and real-time AI processing in cloud and on-premises environments.
Responsibilities:
Design and implement scalable, high-availability machine learning inference architectures.
Develop robust systems that efficiently manage the deployment and operation of complex models like LLMs and anomaly detectors.
Utilize AWS technologies such as SageMaker, Lambda, SQS, and Redshift to optimize the performance and scalability of our machine learning infrastructure.
Collaborate with data scientists and AI researchers to ensure seamless integration and optimal performance of machine learning models.
Build and maintain monitoring systems to ensure the stability and efficiency of the machine learning infrastructure.
Troubleshoot and resolve issues related to model performance, infrastructure bottlenecks, and system failures.
Maintain strong communication skills and collaborate effectively within a dynamic team environment.