we are looking for a Senior SW Engineer.
Job Description
Join a multi-disciplinary team of experts operating at the core of Speedatas software stack
Lead the design and implementation of highly efficient algorithms that maximize our performance
Develop time-critical Python components that translate database operations to performant, hardware-optimized C++
Co-design the next generation of our architecture alongside Hardware & Software engineering leads
Research state-of-the-art algorithms and techniques for data analytics and hardware acceleration
Fly high with the SW, and dive in for a byte of the HW

we are seeking an exceptional Senior Software Engineer to join our Algorithmic Trading group in Tel Aviv. In this role, you will design and build high-performance research pipelines and market simulation systems that drive the development, testing, and validation of trading strategies - work that has a direct and measurable impact on the firms profitability.
Youll be a core member on a multidisciplinary team of world-class technologists, quantitative researchers, and traders. This is a hands-on engineering position where you will work across the entire technology stack:
Creating low-level systems designs
Developing high-throughput, deterministic, replayable market and exchange simulations
Leveraging cutting-edge performance optimization techniques on large-scale distributed grids
We offer an environment where ownership is high and collaboration is constant. Youll interact directly with research and trading teams, influencing strategy design while building mission-critical systems alongside some of the best engineers in the industry.
Our Tel Aviv office, located at the TLV Expo Center next to the Tel Aviv University train station, offers a modern workspace and highly competitive compensation packages.
How Youll Make an Impact
Architect, build, and operate offline high-throughput C++ research systems.
Continuously optimize systems for latency, determinism, and throughput.
Lead performance-focused initiatives, drive architectural decisions, and introduce cutting-edge techniques.

We are looking for a Senior Software Engineer to join our Sensors Team and play a key role in the development of our Endpoint Sensor (Agent) platform. This is a hands-on senior position with strong technical ownership, focused on designing, building, and maintaining high-performance endpoint sensors across multiple operating systems.
In this role, you will work closely with sensor, analysis, and platform teams to ensure reliable, efficient, and scalable data collection in highly complex and demanding customer environments. The position requires deep systems knowledge, strong problem-solving skills, and the ability to influence technical direction through technical expertise.
RESPONSIBILITIES:
Design, implement, and maintain endpoint sensors on Windows, macOS, and multiple Linux distributions, including installation processes and shared APIs
Take technical ownership of key components within the endpoint sensor stack, ensuring high performance, reliability, and low resource footprint
Collaborate with cross-functional engineering teams to define APIs, schemas, and data flows, ensuring data accuracy, availability, and correctness across the system
Participate in architectural and design discussions, contributing to technical decisions and long-term system evolution
Identify and implement improvements across the system, from core business logic to new data sources and monitoring capabilities
Troubleshoot and resolve complex issues related to sensor deployment, behavior, and performance across different operating systems and environments
Maintain high engineering standards, including code quality, testing, documentation, and maintainability, while working within an agile development process

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 the 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

Were looking for an experienced SW Team Manager to join our Simulators Team, where you'll lead the design and development of our hardware simulators - functional and performance models that serve as the source of truth, drive architectural exploration and compiler optimization.
Our simulators model diverse cores within a cutting-edge SoC designed to accelerate Big Data and Database Analytics.
You will collaborate closely with hardware and software teams, contributing to co-design efforts that influence architecture, tooling, and system-level behaviour.
Responsibilities:
Lead & grow a team of experienced engineers
Develop new hardware simulators and continue evolving existing one.
Collaborate with Architecture, VLSI, and Software teams to drive co-design initiatives.
Provide insights that influence chip architecture, compiler optimization, and system-level performance.
Develop tools that drive the chip development cycle.

We are looking for a Senior RT Embedded Engineer to join our design and development team, responsible for the full-cycle development of an innovative 4D imaging radar for the automotive sector. You will take a lead role in design and implementation of real-time software for a multi-core automotive SoC platform, consisting of embedded cores, DSPs and dedicated accelerators.
What will you do?
Be part of full-cycle development of embedded SW for innovative automotive radars
Take a lead role in embedded system SW design and implementation on the industrys cutting-edge embedded SoC
Integrate the teams SW over the real-time embedded controller. Bring SW to validation readiness to the validation team. Bring SW to the test vehicles
Specify and balance system-SW requirements to achieve the run time restrictions of the compute platform
Work in collaboration with the CTO and Algorithms team

We are seeking a highly skilled developer to join the Secure Protocols Inspection group, working in complex, challenging, and high-performance Linux environments.
Job Id: 24974
The team is responsible for the design and development of security-critical products and frameworks at the core of our HTTPS/TLS inspection capabilities.
In this role, you will work on core systems responsible for the real-time processing of large volumes of encrypted network traffic in production environments. You will take part in designing, implementing, and evolving secure communication and inspection technologies, addressing performance and security challenges across modern protocols and platforms. The work spans low-level kernel and user space, as well as backend and frontend components.
The position requires deep technical ownership, close collaboration with other R&D teams, and the ability to solve complex problems in large-scale production systems.
Why Join Us?
Hybrid Work Model: Enjoy the flexibility of working from the office and from home.
Impactful Work: Play a critical role in developing security solutions that protect organizations and individuals.
Growth Opportunities: Access to learning and development resources to advance your career.
Collaborative Environment: Work in a supportive team that values diverse perspectives and innovative ideas.
Key Responsibilities
4+ years of programming experience, at least 2 in C/C++
Develop and maintain high-performance Linux-based software.
Improve existing code for performance, security, and maintainability.
Collaborate in the design and development of next-generation security solutions.
Quickly learn and take ownership of existing projects, understanding their architecture and functionality.

Required Senior Software Engineer, Filesystem
About The Position:
We are architecting a new approach to the enterprise data stack built for the age of reasoning. We set the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.
We are a pre-IPO, growth-stage company on a hyper-growth trajectory. Weve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the worlds largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. Were passionate about solving our customers most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.
What you'll be doing:
The filesystem group is a high-powered team responsible for implementing algorithms at scales of 100s of PBs. The team also manages the core filesystem components, including blocks and metadata management, snapshots, RAID logic, object-store tiering, unique cloud disaster recovery features, and more. And most importantly, they skillfully handle the most delicate part of the solution - our customers data.
As a Senior Software Engineer, youll:
Design and develop distributed file system components to support data management features such as snapshots, replication, tiering, and advanced data reduction algorithms;
Participate in the design, architecture, and implementation of next-generation storage architecture;
Assist in technically managing initial storage implementations including proofs-of-concept;
Diagnose bottlenecks and implement clean and performant solutions to achieve unbeatable performance;
Design algorithms and data structures to make sure customer data is safe and coherent across our solution in a wide variety of failure modes; and
Constantly revisit the architecture, algorithms, and methodologies to improve productivity, reliability, and maintainability.

we are seeking a highly motivated high-performance system architect to join our team of experts and help shape the future of high-performance and ml / ai computing. our next-generation nvl systems will be at the forefront of connecting and powering the world's most advanced compute clusters, from supercomputers used in ai research to high-performance clusters used at almost every industry today, such as car and pharmaceutical. as a high-performance system architect at nvidia, you will have the opportunity to work on some of the most cutting-edge technology and help to drive the innovation of our next generation networks that will be used by top researchers and engineers around the world.
what youll be doing:
define the nvl system architecture end-to-end, by internal requirements and customers requirements through all product life cycles (post/pre silicon, on deployments).
research of various solutions to enable the next large-scale-high-performance computing clusters. the position spans over various layers from algorithms, software, firmware, and hw.
developing models for simulations and performance testing, analysing the results and development of future hw and sw.
collaborate with cross-functional teams, including other architecture teams, logic design, system software, firmware, and research teams, to ensure the successful execution of the project.

our company has been transforming computer graphics, pc gaming, and accelerated computing for more than 25 years. its a unique legacy of innovation thats fueled by great technology-and amazing people. we seek an senior sw performance engineer to join our performance verification team. as a performance engineer at our company, you will have to work closely with our development and architecture teams responsible for ethernet ai solution and gain a deep understanding of our products and technologies.
what youll be doing:
participate in an international team of software engineers working on products for testing our products
build automated verification environment for high-end hardware and software which is at the forefront of innovation
identify, analyze, and report software defects, inconsistencies, and other quality issues.
drive improvements for performance, quality, stability around sw acceleration solutions.
stay up to date with industry standard methodologies, new technologies, and emerging trends in software verification.