דרושים » הנדסה » (16573) Machine Learning Engineer

We are looking for a Senior Software Engineer with experience in networking and software, to join the networking SW group. We are looking for a candidate with the ability to thrive in an environment with complex software and hardware designs, who can take ownership, and lead the development of key SW components for our network cards.

You will take part in developing, integrating, and deploying networking technologies, starting from the identification and definition of project requirements, feature development, deployment and operational support, on a very large scale.
As part of your role you will join a team of engineers who are developing software implementing AWS RDMA technology, for Machine Learning and High Performance Computing (HPC) customers.
Your code will run on millions of servers worldwide, as part of the Nitro system. Not many software engineers in the world have the opportunity to create code that runs at such a large scale.
The role includes working closely with HW, FW, and SW teams all over the world.

We are seeking for System Validation Engineer to help define, shape, and integrate solutions for the next generation of our cloud platforms.

As a System Validation Engineer at Annapurna Labs, you'll be at the forefront of developing advanced technologies that power the world's largest cloud platform. Your expertise will be critical in ensuring the reliability, performance, and quality of next-generation cloud solutions that support hundreds of thousands of businesses globally.

Key job responsibilities:
- Design, implement, and execute comprehensive test plans and test cases.
- Develop and maintain sophisticated automated test frameworks.
- Identify, document, and track software and system defects with precision.
- Continuously review and enhance quality assurance processes.
- Collaborate closely with development teams to ensure exceptional product quality.

Are you a MS or PhD student interested in a 2026 internship in the field of machine learning, deep learning, generative AI, large language models, speech technology, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods? If so, we want to hear from you!

We are looking for students interested in using a variety of domain expertise to invent, design and implement state-of-the-art solutions for never-before-solved problems.

Key job responsibilities
As an Applied Science Intern, you will own the design and development of end-to-end systems. Youll have the opportunity to write technical white papers, create roadmaps and drive production level projects that will support our Science.

You will work closely with our scientists and other science interns to develop solutions and deploy them into production. You will have the opportunity to design new algorithms, models, or other technical solutions whilst experiencing our customer focused culture.

The ideal intern must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.

Our Automated Driving group in Haifa is looking for a Junior DFT Engineer.
This is an exciting opportunity to join a team of highly talented engineers, working on one of the most cutting edge technologies - Autonomous Vehicle (AV) SoC.

At our Automated Driving group, we know that the idea of a fully autonomous car is no longer science fiction, but a reality that we are creating!
We have spent more than 15 years developing the world's most Advanced Driver Assistance Systems (ADAS) and we are now leading the computer vision and machine learning domain, reaching fully automated driving experience (AV).
What will your job look like:
Develop all the necessary HW / FW / SW for the different modules
Verify and Validate our design
Debug and analyze coverage and yield loss
As a cutting edge technology company, we are working only with the very advanced DFT tools and features, while developing our own methods and DFT concepts as it required by the Automotive and Safety related products market (ISO26262).