דרושים » חשמל ואלקטרוניקה » DSP Researcher

We are looking for a talented, self-driven, and hands-on Electro Optics Systems Engineer to join R&D team. In this role, you will develop and advance next-generation distributed fiber-optic acoustic sensing (DAS) systems, combining electro-optic system design, performance modeling, simulations, experimental validation, and field data analysis.
You will tackle complex physical and engineering challenges, contribute to next-generation product development, and collaborate closely with multidisciplinary teams to bring innovative sensing technologies from concept to real-world deployment.
This role is ideal for someone who thrives in a fast-paced, hands-on R&D environment, enjoys working across disciplines, and wants to see their work translate into real-world impact.
What Youll Do:
Lead experimental and theoretical R&D efforts for the development of next-generation distributed fiber-optic acoustic sensing systems.
Design, evaluate, and optimize electro-optic interrogation systems for distributed acoustic sensing applications.
Develop system-level models and simulations for optical signal generation, fiber propagation, coherent detection, system noise, SNR, and sensing performance.
Build software tools and simulations in Python, C++, or similar languages for system evaluation, signal processing, field data analysis, and performance modeling.
Plan, execute, and analyze laboratory and field experiments to validate system performance and support product development.
Gain unique end-to-end expertise across the full sensing system pipeline, spanning fiber optics, electro-optics, coherent detection, DSP algorithms, and advanced data analysis.
Lead product development activities from ideation and proof of concept through design, qualification, validation, and deployment.
Collaborate closely with multidisciplinary R&D teams, including physicists, software engineers, algorithm developers, and hardware engineers.
Communicate effectively with both technical and non-technical stakeholders, translating complex system behavior into clear insights and actionable recommendations.

We are seeking a talented, self-driven, team-player, passionate Physicist to join our R&D team. In this role, you will develop and advance distributed fiber optic sensing technologies, combining theoretical modeling, simulations, fiber-optics systems design, and hands-on experimental work.
You will tackle complex physical challenges, contribute to next-generation product development, and collaborate closely with multidisciplinary teams to bring innovative solutions from concept to real-world deployment.
This role is ideal for someone who thrives in a fast-paced, hands-on environment, enjoys working across disciplines, and wants to see their work go from concept to impact in the real world.
What Youll Do:
Experimental and theoretical R&D work for the development of next generation distributed fiber optic acoustic sensing (DAS) electro-optic interrogation systems.
Gain unique end-to-end expertise across the full sensing system pipeline, spanning optical signal generation and propagation, coherent detection, DSP algorithms, and advanced data analysis.
Experimental Work to prove new concepts, develop innovative solutions for new products, and support current generations.
Develop software tools and simulations (Python/MATLAB/C++) for laboratory experiments, field data analysis, signal processing, and system modeling.
Collaborate with multidisciplinary R&D teams and projects.
Communicate effectively with technical and non-technical colleagues.

we are looking for a AI/ML Applied Researcher.
As AI Applied Scientist, youll be at the intersection of advanced technology and meaningful impact with clear business cases. You will have access to real-time (RT) big data from multiple Sensors & Data sources, and a chance to discover, explore, research, and develop cutting-edge solutions that directly impact industrial manufacturers around the globe. As part of the Applied AI/ML Science team, you will have the opportunity to continuously grow and learn while building and deploying advanced models directly into our products, and stay at the forefront of the technologies in the world, witnessing firsthand their impact on our customers.
A Day In Your Life:
Own the algorithm lifecycle from problem definition and data analysis to prototyping and delivering production-ready models.
Research, design, and build anomaly classification, predictive, insights, recommendations, and other types of models from various data sources, including sensor time-series data, textual data, images, and more.
You will Ensemble multi-modalities by exploiting and enriching the most from our data collections platform and feature extraction and store phases, using classic statistical methods, deep learning, Transformers, Graphs, Foundations Modules (as TSFM, Graph Transformer, TGNN), and any available technology to extract recommendations for taking real-world, life-changing actions.
Engage with customers and collaborate with our product team to develop innovative solutions utilizing new types of data.
Work with cloud-based big data platforms for training, distributed processing & experiments tracking (e.g., Metaflow, Grafana, Outerbounds, Databricks).
Partnering and contributing to modern technologies: LLMs and agents (GPT, Claude, Gemini), defining & building Gurdrails, reasoning chain as function call, planning, ML-based vectorization and embeddings, and stream analysis.
As part of our hybrid working policy, you will be expected to work from the office at least twice weekly, which includes at least one day in Haifa.

Required Post-Silicon Validation Engineer
About The Position
We build cutting-edge radar chipsets for next-generation automotive sensing systems. As a Post-Silicon Validation Engineer, you will play a critical role in bringing complex mixed-signal ICs from silicon to system readiness.
Responsibilities
Perform validation of advanced radar ICs from bring-up through full functional and performance testing
Translate system and chip-level requirements into comprehensive validation plans and test cases
Develop automated test environments using lab instrumentation and custom scripts
Execute silicon bring-up and validate key subsystems (clocking, power, CPU, interfaces, sensors)
Perform electrical and parametric validation, including high-speed, power, and interface testing
Run characterization across PVT conditions and analyze large datasets
Debug complex silicon issues and work closely with design, verification, and system teams
Support device readiness for system integration and productization.

We're looking for a Senior Data Scientist to join the AI cybersecurity team in the Security and Networking Architecture group. As a Senior Data Scientist youll have the opportunity to take an active part in the research and development of our world-class networking and data center security products. This role involves creative problem solving alongside engineering teams, and is key for the continued success of AI networking security.

What youll be doing:

Developing agentic AI systems for security, combining generative models, RAG, and tool-augmented reasoning to automate threat analysis and response workflows.

Optimizing and fine-tuning models for performance, scalability, and resource utilization, considering factors such as latency, efficiency, and cost.

Developing, implementing and improving models and algorithms across media types, whether time series, images, text, audio or video.

Leveraging data pipelines to efficiently process and transform large volumes of data for training and inference purposes.

Applying alignment techniques and parameter efficient fine-tuning to improve model performance.

Measuring and benchmarking model and application performance to drive improvements.

Driving the gathering, building, and annotation of domain specific datasets for benchmarking and training.

Collaborating closely with software and hardware engineers on new features and improvements. Participate in developing and reviewing code, design documents, use case reviews, and test plan reviews.

Were on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the worlds first fully automated suite of vehicle inspection systems, with advanced AI at the core, spanning Machine Learning, GenAI, and computer vision across the automotive sector. With close to $400M 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 300 employees is united around a culture of innovation, excellence, and teamwork as we build a safer automotive world.
We are looking for an experienced Research Scientist, Sensing to push our inspection beyond todays sensing stack. You will evaluate, prototype, and develop AI models for new sensing modalities such as thermal, hyperspectral, acoustic, radar, structured light, and event cameras, surfacing vehicle defects that todays systems cannot see.
A day in the life and how youll make an impact
* Survey emerging sensing technologies and identify the modalities most likely to expand our defect coverage.
* Prototype with new hardware, build small-scale datasets from scratch, and train modality-specific models.
* Run controlled experiments that benchmark new modalities against todays inspection stack on shared defect scenarios.
* Develop multi-modal fusion approaches that combine new and existing sensors for stronger detection.
* Recommend which modalities graduate into product and partner with R&D and product on integration.

We are seeking a highly motivated Image Quality Engineer to join our VPU system team. You will be responsible for evaluating and improving camera image quality across AI ISP and vision pipelines, with a strong focus on real-world customer scenarios. The role combines hands-on lab work with IQ measurement tools, together with close collaboration with our ISP, algorithm, and customer-facing teams to deliver excellent image quality from internal demos through customer evaluations and product integrations.
Responsibilities:
Analyze image quality metrics (Sharpness, Noise, Color accuracy, Exposure, Dynamic range & Motion blur)
Collaborate with software and algorithm teams to tune image signal processing (ISP) parameters for optimal performance.
Provide image quality support for customer demos and evaluations, working directly with customers to resolve IQ issues.
Provide feedback and recommendations to improve camera performance across different lighting and scene conditions.
Document test procedures, results, and tuning iterations.
Operate and maintain IQ lab setups, including lighting environments, test charts, and measurement tools.

we are looking for a Image Processing Algorithms Engineer.
You will be responsible for defining end-to-end solutions for image signal processing algorithms, both classical and deep learning-based, from the algorithm level to the system level. You will bring your own hands-on expertise, as well as technical leadership, to see these solutions come to life from inception to full implementation.
You will design ISP components and take them from proof-of-concept to production, pushing image quality to a cutting-edge level. You will survey both academic literature and product-grade solutions, then design and implement dedicated solutions optimized for embedded HW. In addition to striving for best possible image quality, you will be responsible for leading the end-to-end implementation via collaboration with SW and HW implementation teams, targeting deployment to Vision Processor.
Responsibilities:
Serve as a domain expert in the field of image enhancement for video cameras. In particular, you will serve as the technical focal point for your projects, owning and leading the end-to-end technical aspects, while collaborating with external partners, internal teams, other algorithms engineers and cross-functional experts.
Translate high-level product requirements to system ISP building blocks and drive R&D efforts to implement them.
Implement proof-of-concepts, based on both your own ideas as well as taking ideas from publications, and carrying these from theory into practice that fits product requirements.
Evaluate and test your solutions considering both image quality and overall system behavior, benchmarking against existing solutions and baselines. Iterate and improve in order to reach superior results or a better quality/performance tradeoff.

The Senior Hardware Test Engineer is responsible for developing, implementing, and sustaining test processes and equipment used in the manufacturing of hardware products. This role ensures that products meet quality, reliability, and performance standards through robust test strategies, automation, and continuous improvement. The engineer acts as a bridge between design engineering, manufacturing operations, and quality assurance, supporting new product introductions (NPI) through to mass production and sustaining phases.
This is a great opportunity to be part of one of the fastest-growing AI infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless workers who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
Role and Responsibilities:
Test Development & Validation
Design, develop, and implement test plans, test fixtures and infrastructure.
Collaborate with R&D to define test requirements early in the product lifecycle.
Develop test scripts and automation software (Python, LabVIEW, C#, etc.) to improve coverage and efficiency.
Validate test coverage, yield, and reliability through statistical analysis (GR&R, Cpk, SPC).
New Product Introduction (NPI)
Support EVT, DVT, and PVT phases with test readiness and execution.
Lead test process transfer to contract manufacturers (CMs) or ODM partners.
Train CM engineers/technicians on test systems and procedures.
Ensure compliance with safety, regulatory, and customer requirements.
Manufacturing Support & Continuous Improvement
Monitor production test yields, debug failures, and drive root cause analysis (RCA).
Implement corrective actions and continuous improvements to reduce test time, cost, and false failures.
Maintain and calibrate test equipment and fixtures.
Support ECO (Engineering Change Orders) by updating test plans and equipment accordingly.
Cross-Functional Collaboration
Work closely with hardware, firmware, and reliability engineers to improve product testability and robustness.
Partner with Quality and Operations to ensure smooth scaling into mass production.
Engage with suppliers and CM partners on test strategy alignment.

As a DSP Communication Engineer, youll join a world-class team dedicated to developing the next generation of high-speed communication systems. This is a powerful opportunity to work on modern technology and make a significant impact in a dynamic and collaborative environment!

What you'll be doing:

Architectural and technical build of very high-speed wireline links.

Collaborate with peer engineers to ensure that product requirements, goals, and objectives are met or exceeded.

Join development efforts to build DSP architecture for future chips and improve the functionality of currently shipping products.

Work in a diverse, dynamic team to successfully implement advanced communication solutions.

Determine key technical requirements and deliver flawless system performance.