דרושים » הנדסה » PC application developer

Our Platform SW department is looking for a highly driven and dynamic SW customer engineer to join our team and help shape the future of Autonomous Driving systems.
Our team ensures fast and successful integration of our technologies in customers solutions
(car manufacturers / Tier1), from the design phase to a car launch, while working closely with internal R&D teams. We're looking for a strong, hands-on, software engineer who is passionately motivated by challenges and excels in troubleshooting hard, complex problems.
What will your job look like?
You will work directly with our development teams on integration into the car manufacturer's system from a real-time, safety-critical system aspects.
You will be responsible to provide quick and professional analysis and troubleshooting of advanced customer issues.
Support new boards bring up : coding, integration, unit test and customer support..
Integration with various embedded systems.

we are looking for a DevOps Engineer for Embedded & Cyber Systems.
Responsibilities:
Own the design, implementation, and maintenance of DevOps processes in alignment with project requirements and industry best practices.
Implement Infrastructure as Code (IaC), support secure development practices, work with GitOps methodologies, operate in air-gapped environments, develop scripts, and build CI/CD pipelines.
Lead and optimize processes across all stages of the software development lifecycle, leveraging advanced technologies and tools for complex cybersecurity projects in defense systems.
Collaborate closely with development teams and cross-functional stakeholders as part of a multidisciplinary team.

The Operating System Team is looking for a highly talented Embedded SW Integration Engineer with a passion for operating systems and Linux in specific.
The team is developing the Boot and Operating System SW for our autonomous vehicle and smart advanced driver assist platforms.
What will your job look like?
Hands-on debugging and testing of OS and related components (Boot, HW initialization, Device drivers, Linux Kernel, User space libraries and tools & automated tests in python).
Deep understanding of the involved OS/Boot components and their integration with other SW/HW modules involving testing automation and system level validation.
Closely work with members of the Boot and OS development teams to integrate, test and automate new features, components and systems.
Release & feature management in a multi-project and multi-disciplinary environment while managing CI systems for testing coverage.

We are a fast growing tech company in the automotive space with hubs across the US and Israel. We are disrupting the multi-trillion dollar transportation industry with our advanced Customer data Platform (CDP). Our work happens in the fast lane as we bring AI-powered, data -driven solutions to a quickly evolving industry. Our team at Fullpath is made up of curious and creative individuals who are always looking to achieve the impossible. We are bold, collaborative, and goal driven, and, at our core, we believe every voice has value and can impact our bottom line. If you are a creative, solutions oriented individual who is ready to put your career in drive, Fullpath is the place for you! We are looking for a Top University Graduate to join us as a Junior software engineer and make a real impact on our R&D team! In this role you will have the opportunity to take ownership of the development of amazing new products and work on interesting projects inside a smart, fun, and dynamic engineering team. We seek an individual passionate about tackling tech challenges, with a proactive and AI first approach to push forward a love for coding and a dedication to excellence. This is a full-time, on-site position based in our Jerusalem office in Talpiyot or Tel-Aviv office near HaShalom Train Station.

What you will be responsible for:

* Write clean, high-quality, maintainable code across our stack
* Take ownership of features and projects end-to-end - from design through deployment
* Collaborate closely with product, design, and fellow engineers to ship impactful solutions

Why you should join us:

* An awesome global team of forward-thinking, innovative go-getters
* Learning and growth opportunities within a fast-paced tech startup environment
* Clear career advancement path for strong performers
* As a part of our team, your success in this role is crucial to our company's growth. We are committed to supporting you in achieving your KPIs and goals and providing regular feedback to help you reach your full potential. Together, we can make a real impact and achieve great things!
* Cibus and lots of yummy treats:-) In the meantime, you can get to know us a little better by checking out on instagram and facebook Are you the one? Send your resume to us

As an ML Software Engineer with a focus on low-level and CUDA-based optimizations, you will play a key role in shaping the design, performance, and scalability of machine learning inference systems. Youll work on deeply technical challenges at the intersection of GPU acceleration, systems architecture, and ML deployment.
Your expertise in CUDA, C/C++, and performance tuning will be crucial in enhancing runtime efficiency across heterogeneous computing environments. Youll collaborate with designers, researchers, and backend engineers to build production-grade ML pipelines that are optimized for latency, throughput, and memory use, contributing directly to the infrastructure powering next-generation AI products.This role is ideal for an engineer with strong systems-level thinking, deep familiarity with GPU internals, and a passion for pushing the boundaries of performance and efficiency in machine learning infrastructure.

Responsibilities
Design and implement highly optimized GPU-accelerated ML inference systems using CUDA and low-level parallelism techniques
Optimize memory, compute, and data flow to meet real-time or high-throughput constraints
Improve the performance, reliability, and observability of our inference backend across diverse compute targets (CPU/GPU)
Collaborate with cross-functional teams (including researchers, developers, and designers) to deliver efficient and scalable inference solutions
Contribute to ComfyUI and internal infrastructure to improve usability and performance of model execution flows
Investigate performance bottlenecks at all levels of the stack-from Python to kernel-level execution
Navigate and enhance a large, complex, production-grade codebase
Drive innovation in low-level system design to support future ML workloads

As a Large Scale Training Engineer, you will play a key role in enhancing the training throughput of our internal framework and enabling researchers to pioneer new model concepts. This role demands excellent engineering skills for designing, implementing, and optimizing cutting-edge AI models, alongside writing robust machine learning code and understanding supercomputer performance deeply. Your expertise in performance optimization, understanding distributed systems, and bug elimination will be crucial, as our framework supports extensive computations across numerous virtual machines.

This role is designed for individuals who are not only technically proficient but also deeply passionate about pushing the boundaries of AI and machine learning through innovative engineering and collaborative research.

Key Responsibilities
Profile and optimize the training process to ensure efficiency and effectiveness, including optimizing multimodal data pipelines and data storage methods.
Develop high-performance TPU/GPU/CPU kernels and integrate advanced techniques into our training framework to maximize hardware efficiency.
Utilize knowledge of hardware features to make aggressive optimizations and advise on hardware/software co-designs.
Collaboratively develop model architectures with researchers that facilitate efficient training and inference.
Design, maintain, and evolve a high-quality, shared codebase that emphasizes correctness, readability, extensibility, testing, and long-term maintainability, while balancing performance requirements.

As Engineering Manager, youll be a technical leader, a team builder, and a strategic partner. Youll guide your team to deliver performance, scalable, and secure software solutions, while shaping culture, structure, and product direction. From technical design to org design, youll have a direct influence on how we work and what we build.
Youll work closely with Product, Architecture, and cross-functional teams to turn ambitious ideas into clean, production-ready code - while creating an environment where engineers grow, thrive, and do their best work.
Who You Are:
A collaborative leader who thrives on enabling others to succeed
Able to balance trust and autonomy with clear technical direction
Strategic, but not afraid to roll up your sleeves when needed
Calm, clear, and confident in a fast-paced, high-growth environment
What Youll Actually Be Doing:
Be both a highly technical contributor and an effective people leader
Hold your own in technical discussion, be a subject matter expert in a product domain, and have strategic influence Lead team(s) that deliver on multiple projects of increasing dependencies in an ambiguous or high-impact area
Work with your team and cross functional partners to define and influence strategy
Drive roadmap creation and execution
Collaborate with various functions, drive engineering initiatives and have an impact at an organizational level
Mentor, coach, and grow your direct reports - championing career development and engagement
Own recruitment, onboarding, and performance management for your team
Influence engineering-wide culture, org design, and cross-functional collaboration