דרושים » תוכנה » Deep Learning Engineer (Computer Vision)

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, 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 $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands 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 looking for an experienced Senior Deep Learning Engineer with proven capabilities to lead the development of new products from concept to production. In this role, you will be a part of a highly talented team to drive UVeye’s inspection portfolio, while creating diverse Machine and Deep Learning algorithmic solutions.

A day in the life and how you’ll make an impact:
* Design and Development of novel robust and efficient Machine Learning/ Deep Learning algorithms for major Vision challenges.
* Create Proof of concept for new products and technology.
* Evaluate and benchmark different algorithms on unique proprietary datasets.
* Collaborate with team members to define future technology and features.

Required Deep Learning Team Leader - L2 Group
We are looking for passionate individuals who want to make a real impact, working on state-of-the-art AI solutions that save lives and transform the driving experience. Join us in shaping the next generation of automotive technology.
As a Deep Learning Team Leader - L2 Group, you will be responsible for designing and implementing state-of-the-art deep learning algorithms that support our vision-based projects. You will collaborate with cross-functional teams to solve complex computer vision challenges and deliver high-quality solutions. Additionally, you will analyze and optimize neural network architectures for speed, accuracy, and robustness, and stay up-to-date with the latest research in the field to bring new ideas and techniques to the team. Your role will also include mentoring junior team members and contributing to the growth of the team's skills and capabilities.
The ideal candidate should have a strong background in deep learning, machine learning, and programming, with a proven track record of developing and deploying successful deep learning models.
Responsibilities
Develop and implement state-of-the-art deep learning algorithms for computer vision applications in the automotive industry.
Collaborate with cross-functional teams to solve complex computer vision challenges and deliver high-quality solutions.
Analyze and optimize neural network and SOC architectures for speed, accuracy, and robustness.
Stay up-to-date with the latest research in the field and bring new ideas and techniques to the team.
Mentor team members and contribute to the growth of the team's skills and capabilities.
Work with co-architect on creating new NN from scratch and leading the team technologically.

Required Senior Deep Learning Algorithm Developer- L2++ Group
We are looking for passionate individuals who want to make a real impact, working on state-of-the-art AI solutions that save lives and transform the driving experience. Join us in shaping the next generation of automotive technology.
Responsibilities
As part of the algorithm team for the next generation of autonomous driving, you will:
Understand deeply, implement, train, and evaluate recent state-of-the-art algorithms in computer vision (e.g. object detection, semantic segmentation, self-supervised learning, vision transformers) for various domains, including ground-view images and satellite/aerial images.
Adapt algorithms into robust and scalable production-ready algorithms. Write clean and efficient code, ensuring compatibility with existing systems and frameworks and real-time needs. Take full responsibility for your algorithms end-to-end until deployment on the edge device for production.
Develop and implement new computer vision algorithms (architectures, loss functions, post processing, training and evaluation methods) that surpass SOTA algorithms and achieve desired performance levels in our domain.

We are leading groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU -- our invention -- serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables groundbreaking creativity and discovery, and powers inventions that were once considered science fiction, including artificial intelligence to autonomous cars. Come work for the team that brought to you NCCL, NVSHMEM & GPUDirect. Our GPU communication libraries are crucial for scaling Deep Learning and HPC applications! We're seeking a Senior Software Architect to help co-design next-gen data center platforms and scalable communications software.

DL and HPC applications have a huge compute demands and already run at scales of up to tens of thousands of GPUs. GPUs are connected with high-speed interconnects (e.g. NVLink, PCIe) within a node and with high-speed networking (e.g. InfiniBand, Ethernet) across nodes. Efficient and fast communication between GPUs directly impacts end-to-end application performance. This impact continues to grow with the increasing scale of next generation systems. This is an outstanding opportunity to advance the state-of-the-art, break performance barriers, and deliver platforms the world has never seen before. Are you ready to build the new and innovative technologies that will help realize our vision?

What you will be doing:

Investigate opportunities to improve communication performance by identifying bottlenecks in today's systems.

Design and implement new communication technologies to accelerate AI and HPC workloads.

Explore innovative solutions in HW and SW for our next generation platforms as part of co-design efforts involving GPU, Networking, and SW architects.

Build proofs-of-concept, conduct experiments, and perform quantitive modeling to evaluate and drive new innovations.

Use simulation to explore performance of large GPU clusters (think scales of 100s of 1000s of GPUs).

We are now looking for a motivated Chip Architecture Engineer to use your creativity to work on the Spectrum Switch with a highly inventive and knowledgeable team.

Our technology has no boundaries! NVIDIA is building the worlds most groundbreaking and state of the art compute platforms for the world to use. Its because of our work that scientists, researchers and engineers can advance their ideas. At its core, our visual computing technology not only enables an outstanding computing experience, it is energy efficient! We pioneered a supercharged form of computing loved by the most fast paced computer users in the world - scientists, designers, artists, and gamers. Its not just technology though! It is our people, some of the brightest in the world, and our company diverse culture make us one of the most fun, innovative and dynamic places to work in the world! At the center of our culture are our core values like innovation, excellence and determination and team, which guide us to be the best we can be.

What you'll be doing:

Be part of the team that defines the Spectrum Switch chip architecture end to end from the market requirements through design and all product life cycles (post/pre-silicon, on deployments).

Be part of the team that defines the GPU interconnect protocol, and defines the Architecture for GPU interconnect.

Work with related industry standards & customers on deploying your tech.

Collaborate with teams across teams (physical design, logic design, system software, firmware, applications).

Perform research and analysis for current and future architectures.

Develop Proof of Concepts using our technology, collaborating with our most sophisticated customers on state-of-the-art innovations.

We are seeking a highly motivated High-Performance System Architect to join our team of experts and help shape the future of high-performance and ML / AI computing. Our next-generation Infiniband and NVL systems will be at the forefront of connecting and powering the world's most advanced compute clusters, from supercomputers used in AI research to high-performance clusters used at almost every industry today, such as car and Pharmaceutical. As a high-performance system architect, you will have the opportunity to work on some of the most cutting-edge technology and help to drive the innovation of our next generation networks that will be used by top researchers and engineers around the world.

What youll be doing:

Define the Infiniband and NVL system architecture end-to-end, by internal requirements and customers requirements through all product life cycles (post/pre silicon, on deployments).

research of various solutions to enable the next large-scale-high-performance computing clusters. The position spans over various layers from algorithms, software, firmware, and HW.

The architect should have experience in developing models for simulations, analyzing simulation results and development of optimization algorithms.

Collaborate with cross-functional teams, including other architecture teams, logic design, system software, firmware, and research teams, to ensure the successful execution of the project.

We are at the forefront of AI-driven innovation in VLSI design automation. Join us to shape the future of semiconductor design with cutting-edge AI tools and make a significant impact in a collaborative, high-performance environment. Are you ready to push the boundaries of whats possible in VLSI CAD? Come be part of our pioneering team!

What you'll be doing:
You will be responsible for developing and integrating advanced CAD solutions and automation flows using AI and machine learning for VLSI design, verification, and implementation.
Work closely with design, verification, and CAD teams to identify areas for improving VLSI workflows using advanced tools and methods.
Research, prototype, and deploy AI-based algorithms.
Develop and maintain scripts and automation infrastructure to enable seamless adoption of AI tools in the VLSI design process.
Continuously review emerging AI technologies and methodologies to keep our CAD environment up-to-date.
Provide technical support and training to engineering teams on AI-enabled CAD flows and best practices.

We are seeking best-in-class ASIC Verification Engineers to help deliver the worlds leading CPU's and SoC's. This position offers you the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. NVIDIA is a learning machine that constantly evolves by adapting to new opportunities that are hard to pursue, that only we can take on, and that matter to the world. We have crafted a team of excellent people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing.

NVIDIA is building a new group in Israel, this group delivers security engines and risc-V processor IPs to all of NVIDIA product lines working with all NVIDIA groups around the world. We are looking for inquisitive, motivated engineers with experience to continue to build this new group. As a senior member of our team, you will be responsible for the verification of high-performance, low-power security engines and risc-V processor modules. You will work closely with architects, design engineers, FC verification engineers, and SW teams.

What you will be doing:
Participate in micro-architecture development and document specifications.
Build System Verilog UVM verification environments for IPs in areas of crypto and Risc-V platforms.
Build verification and test plans to get to complete coverage.
Work with the designers in our team to debug and clean all bugs
Deliver the IPs to higher level verification like Cluster, FC and emulation.

We are seeking a highly motivated High-Performance System Architect to join our team of experts and help shape the future of high-performance and ML / AI computing. Our next-generation Infiniband and NVL systems will be at the forefront of connecting and powering the world's most advanced compute clusters, from supercomputers used in AI research to high-performance clusters used at almost every industry today, such as car and Pharmaceutical. As a high-performance system architect, you will have the opportunity to work on some of the most cutting-edge technology and help to drive the innovation of our next generation networks that will be used by top researchers and engineers around the world.

What youll be doing:

Define the Infiniband and NVL system architecture end-to-end, by internal requirements and customers requirements through all product life cycles (post/pre silicon, on deployments).

research of various solutions to enable the next large-scale-high-performance computing clusters. The position spans over various layers from algorithms, software, firmware, and HW.

The architect should have experience in developing models for simulations, analyzing simulation results and development of optimization algorithms.

Collaborate with cross-functional teams, including other architecture teams, logic design, system software, firmware, and research teams, to ensure the successful execution of the project.

We are leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.

Come work for the team that brought to you NCCL, NVSHMEM & GPUDirect. Our GPU communication libraries are crucial for scaling Deep Learning and HPC applications! We are looking for a motivated Partner Enablement Engineer to guide our key partners and customers with NCCL. Most DL/HPC applications run on large clusters with high-speed networking (Infiniband, RoCE, Ethernet). This is an outstanding opportunity to get an end to end understanding of the AI networking stack. Are you ready for to contribute to the development of innovative technologies and help realize our vision?

What you will be doing:

Engage with our partners and customers to root cause functional and performance issues reported with NCCL.

Conduct performance characterization and analysis of NCCL and DL applications on groundbreaking GPU clusters.

Develop tools and automation to isolate issues on new systems and platforms, including cloud platforms (Azure, AWS, GCP, etc.).

Guide our customers and support teams on HPC knowledge and standard methodologies for running applications on multi-node clusters.

Document and conduct trainings/webinars for NCCL.

Engage with internal teams in different time zones on networking, GPUs, storage, infrastructure and support.