לוח משרות דרושים הייטק AI בחיפה וסביבתה

We're Hiring: Senior/Technical Leader/VP of Engineering and AI to lead a dev team with deep experience in
Distributed systems and architecture design
DevOps infrastructure
AI/ML, LLMs, MLOps
Scaling systems (cloud and on-prem)
We're building Argu.ai atop tier startup that's backed by the world's top 3 VCs
and redefines how machines understand video and real-world environments.
We're looking for a super-star technical leader. HandsOn by nature, but with leadership skills. This is a chance to lead and build systems that power some of the most known and high-profile places on earth, handle millions of users.
What You'll Own
Architect, build, and scale on-prem and cloud distributed systems
Lead infrastructure design and building for video streaming at scale (RTSP, WebRTC, HLS)
Build systems that support insanely high data traffic, especially streaming data.

A Research Engineer supports Applied Scientists in the team by helping to build tools, experiment frameworks, and infrastructures. A Research Engineer may be called to directly facilitate science benchmarking, and deep dive on any deep learning related technical problems. He/she may be called to lead or facilitate a joint project between science and engineering team.

Key job responsibilities:
* Participate research and development: direct or indirectly contribute to developing latest Retrieval Augmented Generation technologies, fine-tuning techniques for embedding models and LLMs.
* Tool development: build and improve toolings that applied scientists would need, including scalable science experiment frameworks, low-latency testing pipelines, data collection/annotation/evaluation web applications.
* Expedite science to production: bridge the gap between science and engineering teams, help to investigate and mitigate gaps between science and engineering pipeline. Help to merge both pipelines to one, or making components within the two interchangeable. Work towards a fast science-to-production paradigm.
* Science code quality control: serve as gate keeper, review and hold science code quality to production standard.
* Manage science infrastructure: act as admin to manage all science AWS account, including patch any security risks, build templates, AWS Cops, conduct cost reduction operations.

We are looking for a seasoned Tech Lead.
This role is a fantastic opportunity for professionals eager to steer critical projects over the years and are ready to apply their expertise to drive the success of complex projects.
About us
We are an NVIDIA partner, providing professional services of software development, Artificial Intelligence algorithms development, and performance optimization, maximizing the heterogeneous (CPU&GPU) hardware utilization.
Your Impact:
This role will be involved in development at varying levels of detail, identifying requirements and translating documented user stories and requirements into a technical approach, to spending time hands-on coding building out functionality, overseeing sprint planning and ongoing development and deliverables, maintaining code quality, and meeting deadlines.
Execute multi-tenancy and business configurability patterns to ensure efficient distribution to multiple client
Requirements
Drive technical excellence through your profound knowledge of python across diverse projects.
Implement systems with frontend and AI backend, including RAG systems
Harness your CUDA expertise to maximize the performance and efficiency of our computing platforms.
Oversee projects from ideation to completion, ensuring quality, timeliness, and budget adherence.
Mentor team members and foster a growth-oriented learning environment.
Apply your critical and creative problem-solving skills to troubleshoot and resolve intricate technical issues.
Working with Artificial Intelligence algorithms using Neural Networks.

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 seeking talented undergraduate students to join our AI Middleware research group.
You will be part of a team working on groundbreaking middleware solutions that enhance AI performance, optimization, and scalability. You will be exposed to Kubernetes, cloud technologies, and state-of-the-art AI frameworks, contributing to advanced AI research projects focused on inference, tuning, and Agentic AI systems.
We offer:
- Opportunities to work on high-quality research projects with a world-class team.
- Exposure to the latest AI and cloud technologies in the industry.
- A collaborative and innovative research environment.
If you're ready to push the boundaries of AI middleware research, we encourage you to apply!

the team that invented one of the technologies at the heart of 5G. Their next vision was to develop an IoT sticker, a computing element that can power itself by harvesting radio frequency energy, bringing connectivity and intelligence to everyday products and packaging, things previously disconnect from the IoT. This revolutionary mixture of cloud and semiconductor technology is being used by some of the worlds largest consumer, retail, food and pharmaceutical companies to change the way we make, distribute, sell, use and recycle products.

Our investors include Softbank, Amazon, Alibaba, Verizon, NTT DoCoMo, Qualcomm and PepsiCo.

looking for a talented and experienced engineer to take part in the verification efforts for the companys core product. This position involves building and maintaining a complex verification environment, and defining and executing a test plan. In this role, you will be leading all aspects of verification and will have a critical impact on the company's R&D path.

Responsibilities
Define and implement robust SV/UVM verification solutions, including test benches and methodologies, to drive efficient verification closure across block-level and full-chip designs, integrating Mix-signals SoC simulation environment using Verilog, MATLAB, HW/SW Co-simulation and lab integration.
Work closely with Digital Design, Analog Design, Software, Back-end, SW and System teams to understand the functional, power and performance goals of the product and ensure its quality.