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חברה חסויה
Location: Caesarea
Job Type: Full Time and Hybrid work
we are looking for a Senior Software Program Manager.
You will lead sophisticated, multi-functional programs spanning silicon development, firmware, and system delivery, driving execution from initial concept through production. You will collaborate with engineering and operations teams to deliver high-quality solutions, craft effective processes, and ensure strategic alignment across the organization.
Specific Responsibilities include:
Driving end-to-end program execution for the Silicon One ASIC software ecosystem, including integration with industry-leading network operating systems.
Serving as a key interface for New Product Introduction (NPI) programs for next-generation devices.
Leading cross-functional alignment across engineering teams in a globally distributed environment.
Owning program schedules, milestones, dependencies, risk management, and executive communications.
Partnering with software engineering leaders to ensure tight hardware/software co-development and integration.
Liaising with internal business units and customers to collect requirements and manage prioritization across competing stakeholder interests.
Driving accountability for outcomes while working through influence in environments with high ambiguity, rapid change, and ambitious timelines.
Requirements:
Bachelor's degree in Engineering, Computer Science, or equivalent practical experience.
10+ years of combined experience across Engineering Program Management/ Engineering team management, and/or hands-on engineering roles within the high-tech electronics industry.
Experience with systems software development, including software lifecycle and delivery models.
Experience leading sophisticated hardware and software programs for ASIC-based products in large-scale or cloud environments.
Experience influencing technical leaders and executive stakeholders.
Preferred Qualifications:
Master's degree in Computer Science, Electrical Engineering, or a related technical field.
Experience driving bring-up for silicon New Product Introduction (NPI) devices, including coordination across software, ASIC, and hardware component teams.
Experience leading hardware, software, or system programs for hyperscalers, OEMs, or major network operators.
Strong technical understanding of high-performance networking silicon, including switch and router ASICs.
Experience in customer-facing roles delivering technically sophisticated solutions, with strong interpersonal, analytical, problem-solving, and negotiation skills.
This position is open to all candidates.
 
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29/07/2026
Location: Caesarea
Job Type: Full Time and Temporary
Required Senior R&D System Application Engineer (12 Months Contract)
Innovation starts from the heart. We put patients first. We invest a significant proportion of our revenue towards research and development to drive and develop groundbreaking medical innovations for structural heart disease. As part of our R&D Engineering team, you will work closely with our Quality and Manufacturing teams to develop the latest tools and technologies to address significant, unmet clinical needs that impact patients lives around the world.
What will you do?
You will be part of an R&D team responsible for the development, integration, and validation of medical device systems. With a strong emphasis on hands-on development, data-driven engineering, with a problem-solving mindset. you will contribute to the full product development lifecycle - from the need, through signal processing and GUI development to system testing and clinical application. This role is designed for engineers who are passionate about building and refining medical device technologies in a multidisciplinary environment.
How youll make an impact:
Develop and improve medical device features within the portfolio as part of a multidisciplinary R&D team that includes mechanical, hardware, and software engineers. Main activities include - procedure development, algorithm development, GUI design and implementation, scripting, test automation, data acquisition, and data analysis and visualization.
Participate in the design and development of system-level features, supporting architecture decisions and translating clinical and functional requirements into working solutions.
Perform hands-on testing of medical device systems (implant systems, hardware, and software), including functional, integration, and exploratory testing to validate design performance and clinical readiness.
Lead test design efforts, including writing test cases, test procedures, and test reports. Collect, analyse, and summarize test data to support design decisions and issue investigations.
Execute and support test protocols in lab and simulated clinical environments. Accurately document results, observations, and issues to ensure traceability and compliance.
Collaborate with stakeholders and colleagues - including caregivers, R&D engineers, clinical specialists, marketing, and quality teams - to understand system behaviour, clinical workflows, and end-user needs, ensuring that developed solutions align with real-world application requirements.
Requirements:
What you'll need (Required):
Degree in an engineering discipline. Biomedical, Electrical, Software or Computer Science, Math, Information Systems, or a related area preferred.
Bachelor's degree + minimum of 3 years of experience in R&D roles.
Familiarity with medical devices, clinical systems, and product development processes.
Advantage - programming experience (Python, C++, LabVIEW, similar); experience with GUI development frameworks and algorithm design is a plus.
Solid technical aptitude with the ability to understand system-level designs, software development lifecycle, and associated challenges and risks; ability to work closely with engineers across disciplines.
What Else we look for (Advantage):
Strong analytical thinking and problem-solving skills with a development-oriented mindset.
Experience or strong interest in algorithm development, data processing, and GUI-based application development.
Ability to work collaboratively in cross-functional R&D teams and contribute across the development lifecycle - from concept through verification.
Hands-on, detail-oriented approach with a strong willingness to learn and adapt.
Ability to follow procedures accurately and document work clearly.
Comfortable working in lab environments and handling biological materials and technical equipment.
Clear written and verbal communication skills in English.
This position is open to all candidates.
 
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1 ימים
Location: Caesarea
Job Type: Full Time
We are looking for a Senior Software Engineer to help build and optimize large-scale, high-performance GenAI infrastructure and inference systems on Kubernetes.

As AI workloads increasingly move toward Kubernetes-native infrastructure, we are building systems that support distributed inference, performance optimization, reliability, observability, and production-grade deployment at scale.

This role is ideal for an engineer who can reason deeply about systems, performance, tradeoffs, and reliability, and who is comfortable owning difficult technical decisions end-to-end.

You will work across inference serving, distributed systems, optimization, and Kubernetes-native AI infrastructure.

What Youll Do

Build and optimize high-performance Kubernetes-native GenAI inference systems
Work with modern inference stacks such as vLLM, SGLang, TensorRT-LLM, and related tooling
Work with Kubernetes-native distributed LLM inference frameworks such as llm-d and NVIDIA Dynamo
Design and implement optimization algorithms and performance improvements
Improve reliability, observability, deployment, and operational maturity of AI systems
Make architectural decisions and take ownership of technical outcomes
Collaborate with a small, senior engineering team focused on performance and production quality
Requirements:
Minimum 5 years of experience as a Software Engineer, with strong software engineering and system design skills.
Programming experience in Go and Python
Hands-on experience with the Kubernetes ecosystem, including Operators, service meshes, GitOps, Gateway API, and OpenTelemetry
Experience with cloud platforms
Strong understanding of optimization algorithms and performance engineering
Ability to independently drive technical initiatives from concept to production
Strong systems thinking and debugging skills
Comfort operating in environments with high autonomy and responsibility
This position is open to all candidates.
 
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