דרושים » תוכנה » senior integration & application Developer

you will be part of rem department, which is responsible for the automatic high-definition map-making process, a key technology in our autonomous driving and advanced driver-assistance systems. this process involves running advanced algorithmic code in a massively parallel way, utilizing Big Data technologies, and managing a complex system that requires both technical depth and strategic thinking. we are seeking a backend & data engineer to join our innovation team within our mapping division. this role is best suited for engineers with strong system -level thinking, a can-do approach, and a hands-on mindset, with the ability to design, build, and optimize complex systems operating at scale. what your job will look like:
develop and maintain backend and data -processing components in large-scale systems
design, implement, and optimize data pipelines and distributed processing flows
work with large-scale Storage systems (e.g., s3) and high-volume data access patterns
optimize systems and code across multiple layers - from architecture to implementation
identify performance bottlenecks, debug complex issues, and drive root-cause solutions
work across teams and domains, reading, improving, and refactoring existing code
take part in technical design and decision-making, balancing performance, scalability, and maintainability

we are looking for a hands-on engineering manager to lead a multidisciplinary vehicle systems engineering team in jerusalem. in this key role, youll also act as the global domain lead for vehicle integration systems, setting worldwide standards and practices for our global data collection operations.
join us and take part in designing, integrating, and deploying the next generation of adas and autonomous vehicle systems, shaping how our global fleet collects and processes data worldwide. what will your job look like:
as an engineering manager and global domain lead, you will:
lead and mentor a team of mechanical, electrical, and integration engineers based in jerusalem.
oversee the design, integration, and deployment of complex vehicle systems, ensuring technical excellence, schedule adherence, and safety compliance.
plan and supervise daily engineering activities for vehicle builds, retrofits, and maintenance supporting adas data collection.
serve as the global domain owner for vehicle integration systems- defining engineering standards, methodologies, and processes across all our company sites.
develop and maintain global guidelines for mechanical design, low-voltage electrical systems, networking (ethernet/can), and hardware/software interfaces.
partner with engineering teams worldwide to ensure system consistency, scalability, and reliability across the global fleet.
support global deployment of new technologies and continuous improvement initiatives.
oversee integration of data acquisition platforms- including sensors (camera, lidar, radar), compute units, and data loggers-ensuring seamless hardware/software performance.
collaborate closely with software, data, and validation teams to ensure aligned system integration and optimal vehicle performance.
lead root-cause analysis, troubleshooting, and reliability improvements in complex vehicle systems.

Required Senior Software Engineer - Research
What you will be doing
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 our 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 our 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.

we are a global leader in autonomous vehicle (av) technology, pioneering advanced driver-assistance systems (adas) and self-driving solutions. across the company, algorithm developers work at the forefront of av/adas innovation- designing and implementing perception, mapping, computer vision, and decision-making algorithms, typically in Python or C ++. at our company, algorithm developers join a variety of teams across a broad range of domains. this role serves as a central entry point, allowing us to match your expertise and aspirations with the team where you can make the greatest impact. algorithm developers at we contribute to diverse areas of innovation, including:
 detection: developing algorithms to identify and track road users, lanes, and other key elements of the driving environment in real time.
 object modeling: developing algorithms to identify, classify, and measure objects (general, unclassified, etc.), enabling precise scene understanding.
 geometry: developing algorithms to model road geometry, vehicle motion, and calibrations, providing essential spatial data that supports localization, 3d object placement, tracking, and other core perception tasks.
 mapping: developing algorithms to create high-definition maps from large-scale, crowd-sourced data to enable precise localization and navigation.
 3d perception & sensor fusion: designing algorithms for 3d reconstruction and multi-sensor reasoning to accurately model and understand the driving environment. what will your job look like?
your job will include a combination of algorithm development and programming in Python and C ++.
work with image-based data, focusing on extracting and representing spatial information accurately and efficiently.
take initiative in identifying and solving complex algorithmic challenges in a fast-paced development environment.
collaborate closely with engineering and research teams in computer vision, data engineering, and related fields to deliver real-world solutions.

This role is a great fit for someone who thrives in an environment that values speed without compromising on quality, and who enjoys taking full ownership of their work end to end. If you are curious by nature, demonstrate strong entrepreneurial thinking, are not afraid to ask questions, and know how to navigate ambiguity while moving quickly.