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Design and implement RTL in System Verilog, based on deep understanding of customer requirements, DUT functionality, and system architecture.
Test and debug your designs in simulation and on hardware-based platforms, to reach cloud-scale quality.
Work with software teams on development of drivers and applications.
Deliver the product into cloud production environments and support it through its lifetime.

We're on a mission to redefine vehicle safety and reliability on a global scale. We have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of Machine Learning, GenAI, and computer vision within the automotive sector. With over $200M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, we stand at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply Embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We are hiring a highly skilled and motivated Generative AI Researcher to join our talented research team. As a Generative AI Researcher, you will be responsible for developing and implementing cutting-edge multi-modality LLMs to solve complex problems and drive innovation across our organization. You will work closely with data scientists, software engineers, and product managers to design, build, and deploy genAI-powered solutions that enhance our products and services.
A day in the life and how youll make an impact: Designing, developing, and implementing multi-modality generative AI models and algorithms utilizing state-of-the-art techniques
* Collaborating with cross-functional teams to define genAI project requirements and objectives, ensuring alignment with overall business goals.
* Stay up-to-date with the latest advancements in generative AI, Machine Learning, and deep learning techniques and identify opportunities to integrate them into our products and services.
* Publish in high profile venues such as Nature, Science, CVPR, NeurIPS, ICML or similar
* Optimizing existing generative AI models for improved performance, scalability, and efficiency.
* Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
* Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
* Contributing to the establishment of best practices and standards for generative AI development within the organization.
* Providing technical mentorship and guidance to junior team members.

A Technical Account Manager with experience interacting with customers, knowledge of technology, and can empathize with the trials and tribulations of being a developer. As the account manager, you are the bridge between the technology team and the user, walking the tightrope between customer satisfaction and developer ability. The role requires someone who can walk gingerly between development, product, marketing, and leadership from some of our largest clients. Youll serve as the product expert, guiding clients user experience and, ultimately, client satisfaction through their implementation of products.
Our Technical Account Manager must have a strong penchant for technical aptitude along with personality strengths in self-starting and being a proactive instigator. A proven track record of creating and maintaining deep, lasting relationships with customers is a must as youll be dealing with understanding technical and complex issues while creating excitement and loyalty with customers.
The Task-at-Hand:
Become an expert in products - with a heavy focus on the technical aspect of the product
Interface with customers in final stages of contracting with sales to gather, collect, and document technical, product, and contract requirements regarding the customers purchase(s) of products
Provide world-class support by taking ownership for customer issues from initial contact to resolution including troubleshooting the issue, determining root cause and ensuring that the customer understands the resolution
Partner with the Engineering and Development teams to resolve customer issues
Write documentation, knowledge-based articles, and tutorials to improve the customer experience of features
Participate in the QA process of current and new products/services and work frequently with product and engineering teams to address opportunities and product enhancements
Contribute to the development of our implementation and support policies and procedures

We are looking for a deep learning engineer experienced with computer vision to join our DL algorithms Team.
We are dealing with a variety of tasks such as regression, segmentation, classification and detection while editing millions of images every week for professionals, and holding tens of millions edited images by professionals used as datasets.
Responsibilities:
Design, development and bring to production novel, robust and efficient deep learning algorithms in the field of computer vision.
Create proofs of concept for new products and technology.
Evaluate and benchmark different algorithms for unique, proprietary datasets.
Collaborate with team members to define future technology and features.

We are looking for a C/C++ software engineer to join the low-level development .
Youll write efficient and optimized code for handling RAW image processing, compression, decoding and encoding. Youll work closely with our client and server teams to enable new product lines, and improve existing product performance and capabilities. Help build a solution that runs on both Windows and macOS, is multifaceted and multidisciplinary, and plays a key role in the offerings of the company's products.
Responsibilities:
Lead the design and development of internal libraries.
Write efficient, optimized, maintainable code.
Write tests to check the integrity of your code.
Collaborate with other teams to enable new capabilities.