דרושים » חשמל ואלקטרוניקה » Software Integration and Field Application Engineer

Do you have a passion for cutting-edge automotive technology and a desire to work with the world's leading car manufacturers?
We are seeking a highly motivated and technically skilled Integration & Application Engineer to join our team, supporting the integration of our state-of-the-art automotive imaging radar technology into the next generation of vehicles.
Our vision is to bring new and cutting-edge automotive radar sensor solutions, while leveraging our assets and expertise in this field. Introducing best in class Radar sensor that would complement our end-to-end autonomous driving solution platform. You will be joining an excellent group of people, working on a cutting-edge mmWave Radar Technology and enjoy a dynamic and challenging environment.
What will your job look like?
Own end-to-end radar integration and bring-up, from sensor and ECU interfaces to vehicle networks and the perception data path.
Reproduce and root-cause complex integration issues using logs, packet captures, bench or vehicle testing, and SIL/HIL/embedded comparisons.
Work directly with customers and our software, hardware, algorithms, system, and validation teams throughout integration, validation, release, and deployment.
Develop analysis and automation tools for network traffic, logs, and sensor data.
Create clear interface guides, application notes, troubleshooting procedures, and technical documentation.
Represent customer needs, technical risks, and priorities to product and R&D teams.

As an Integration System Engineer in the Imaging Technologies team, you will own the end‑to‑end integration of a multidisciplinary medical device, from early design through validation and release.

You will lead system-level bring-up, define and execute integration strategies, and ensure robust interaction between mechanics, electronics, optics, and software.

This role emphasizes hands-on integration, performance analysis, and cross-functional alignment to deliver a high-quality, production-ready scanner.


Key Responsibilities

System Integration Ownership
Own system integration across all subsystems (mechanics, electronics, optics, software) and ensure a stable, testable, and scalable product.
Lead system bring-up, integration flows, and configuration management across development stages.
Identify interface gaps, define integration requirements, and drive closure with relevant teams.

Performance & Testing
Design and execute system-level experiments to evaluate performance, stability, and reliability.
Develop tools and automation for data collection, analysis, and debugging.
Define integration and verification test strategies, including acceptance criteria and coverage.

Problem Solving & Debug
Lead root-cause analysis of complex cross-domain issues.(HW/FW/SW/optics interactions).
Drive containment, corrective actions, and long-term fixes.
Ensure issues are resolved with clear documentation and learning capture.

Cross-Functional Leadership
Work closely with R&D disciplines, QA/RA, and manufacturing to align on system behavior and requirements.
Translate system-level needs into actionable specifications and integration plans.
Act as the technical focal point for integration-related decisions and trade-offs.

Process & Methodology
Establish and improve integration processes, methodologies, and best practices.
Introduce new tools, capabilities, and approaches to increase integration efficiency and quality.
Ensure proper documentation of integration flows, configurations, and test results.

Team Leadership & Mentorship
Mentor junior engineers and guide student contributors.
Assign and review tasks with a strong focus on quality, rigor, and engineering discipline.

The Director of Technical Delivery is responsible for overseeing and managing the integration of systems, processes, and business units within an organization. This role ensures seamless collaboration between technology, operations, and business functions to drive efficiency and alignment with strategic goals.
This role offers a unique balance of management, technical and customer facing responsibilities as you will be the guide to a variety of brands including top tier ecommerce players during their integration with our company.
Responsibilities:
Develop, integrate, and QA strategies to align technology, operations, and business processes.
Oversee multiple integration projects, ensuring quality, timelines, and objectives are met.
Identify inefficiencies and implement improvements to enhance business performance.
Serve as the primary point of contact for leadership teams, vendors, and external partners regarding integration initiatives.
Work closely with development teams to implement and QA new features and specific customer requirements
Provide on-going education and technical assistance to current partners and onboarding clients
Take technical ownership during the implementation cycle and meet deadlines for both external clients and internal teams
Own team performance, pipeline coverage, prioritization, and technical quality
Coach the team on technical and complex enterprise project execution.

Are you a senior AI researcher who thrives at the intersection of cutting-edge computer vision and real-world impact? Do you combine deep research expertise with the engineering instincts to ship models that work in production? Join the Content team within our AI group, where youll lead applied research initiatives that transform how sports content is created and experienced.

This is an applied research role with a strong ownership mandate - youll drive the full research lifecycle from problem framing and experimental design through to production integration.

We are dedicated to revolutionizing sports production. Our AI-powered solutions automatically capture sports events and transform them into personalized content, turning key moments into engaging experiences for players, teams, and fans. As a Senior AI Research Scientist, you will have direct impact on the companys innovation roadmap, leading core AI capabilities that power our platform at scale.

As part of your role, you will:
Own the research lifecycle end-to-end: problem definition, literature review, experimental design, model development, evaluation, and production integration.
Design, implement, and evaluate state-of-the-art deep learning models for computer vision tasks including detection, tracking, event recognition, and temporal modeling in video.
Drive applied research projects with clear product impact - not just experimentation, but shipping models that run reliably in production.
Collaborate closely with ML engineers, infrastructure engineers, and QA to ensure smooth model integration and performance in real-world conditions.
Contribute to our research culture: present findings internally, propose new research directions, and stay at the forefront of computer vision and deep learning.
Influence architectural decisions around model design, data pipelines, and evaluation frameworks.

We are looking for a system engineer to join our talented system engineering department.
As a system engineer you will be leading complex, multidisciplinary projects as a the technical owner, processing the customer needs and values into system specifications and requirements, overview the development and chair the acceptance processes.
Responsibilities
Customer Liaison.
Analysis of customer needs and requirements.
Identification of internal Projects Specifications and requirements.
Ability to lead and manage sub-contractors, including contractual engagements and procurement supervision.
Ability to lead a team of engineers, including the management of work plans and delivery schedules.
Ability to create effective and deployable solutions to complex engineering challenges.
Preparing, Leading and participating in Design Reviews and contractual engagements activities.
Leading acceptance and delivery processes with multiple entities, domestically and abroad.

We are seeking a highly motivated and experienced Production and Suppliers Quality Engineer to drive exceptional product quality, patient safety, and field reliability across the Installed Base (IB). This is a key technical role supporting production stability, RMA/DOA investigations, Automated Test Equipment (ATE) performance, and cross-functional quality engineering initiatives in a regulated medical device environment.

Key Responsibilities

In this role, you will:

Support qualifications and control of ATE testers in V&V phase and production lines.

Support ECO/ECR processes, NPI projects, product updates, and cross-functional engineering changes.

Participate in supplier selection and conduct suppliers audits.

Work closely with R&D, engineering, manufacturing, and operations teams to enhance product quality and resolve technical issues.

Drive continuous improvement initiatives using tools such as Six Sigma, Lean, and Root Cause Analysis (RCA).

Support RMA/DOA processes and continuous reduction of field failures.

Ensure compliance with ISO 13485, FDA 21 CFR 820, MDR, and other applicable medical device regulations.

Maintain and support quality documentation, including CAPA, Non-Conformance Reports (NCRs), and risk management documentation.

This is an excellent opportunity to work on challenging and complex projects at advanced technology environment with major companies in the semiconductor domain!

This role will enable you to improve your technical skills, working with the industry leading engineers over a wide range of topics while interacting with the business world.

The Application Engineer will provide expert level technical customer Pre-Sale and post-sale support for Cadence customers in Physical Design area.

Were looking for an Experienced Physical Design Engineer to join our growing team, and take a key role in developing our next-generation SoC from definition to Tape-Out.
What will your job look like:
Hands-on physical design block owner, leading the process from RTL to GDS .
Lead floorplan exploration in collaboration with Front-End and Architecture teams.
STA: Partner with FE and floor planners to manage block and top-level constraints and perform 1st-level timing analysis.
Synthesis: Conduct synthesis exploration and deliver final netlists, including scan insertion, UPF, and clean Lint/Spyglass checks.
Place & Route: Drive the flow from synthesis netlist to final layout and signoff verification, with a focus on optimizing PPA (Power, Performance, and Area).

Do you want to join an international team within an innovative fast-paced medical device company? Grab the opportunity and make good use of your Mathematical and programming skills and affinity to medical device.

Key Responsibilities
You will deal with imaging, 3D modeling, surface reconstruction, image processing and high-performance computing.
You will understand the products and the customer needs.
You will research and analyze the underlying problems using real data.
Design and test algorithms in C++ and Python.
Implement algorithms in C++, and integrate them into the application.
Work closely with other members of the algorithms team and members of other groups such as physics and electronics.
Participate in design reviews and code review of co-developers.