לוח משרות דרושים מתכנת ++C בתל אביב יפו, לחיפוש זה נמצאו 32 משרות

Join our R&D team and take part in developing advanced LTE/5G cellular monitoring and spectrum-analysis technologies.
The role combines software development, protocol research, RF analysis, and real-world system integration in both lab and field environments.

Responsibilities include:
Development in C/C++, Python, and Bash.
Research and analysis of LTE/5G cellular protocols and RF behavior.
Building monitoring, detection, and automation tools.
Analyzing protocol data, logs, and software code.
Working with databases and query languages.
Collaborating with multidisciplinary R&D teams and participating in field activities.
Turning complex RF and protocol information into operational insights.

Join our company, an innovative startup building a fully-managed LLM-inference platform, that enables data heavy enterprises to perform any AI task at any scale without limits.
We're looking for an Experienced Performance Researcher to join our founding team. Youll be responsible for building and optimizing scalable cloud infrastructure solutions tailored for AI workloads. This role offers a unique opportunity to directly shape our infrastructure strategy, improve system reliability and performance, and contribute to establishing our company as a leader in adaptive AI compute management.
Join us to tackle the magic that make AI tick under the hood and build the backbone powering the AI revolution.
What Youll Do
- Design and build high-performance distributed inference pipelines for LLMs, focused on large-batch, non-real-time scenarios.
- Optimize GPU memory usage, kernel execution, and communication across nodes (NCCL, MPI, etc.).
- Own CUDA kernels, compiler-level tricks, and multi-GPU scheduling logic.
- Lead profiling and performance tuning for throughput, and cost- down to the kernel level.
- Collaborate with infra, product, and research teams to define SLAs, resource allocation logic, and runtime behaviors.
- Help build the core infrastructure that will run LLM workloads across hybrid GPU environments (cloud/on-prem/self-hosted).

we are looking for a Senior AI Software Engineer
Join our team to develop cutting-edge AI solutions for retail analytics.

we are looking for a Senior Consulting Engineer.
As a core member of the Professional Services team, you will
Contribute to customer implementations at any or all phases of the application lifecycle: portfolio assessment, application planning and design, deployment architectures, development and build, integration and release configuration, system testing, production operations, application optimization, and best practices adoption
Deliver customer classroom-based training to architect, developer and operations roles
Work as part of a wider delivery team comprising fellow consulting engineers, project managers and account teams
Cultivate your individual reputation as a trusted advisor to guide and our customers into the future
Partner with Product and Engineering teams to influence the direction of the product roadmap

Required Software Engineer -New College Grad
Description
Shape the Future of AI Infrastructure with VAST Data
We are seeking a talented and experienced Software Engineer to design, build, and optimize high-performance distributed systems, core data engines, and backend infrastructure.

. We are looking for an experienced malware researcher to join the team. As a Malware Researcher , you will perform research on source code, compiled code, and various software supply chain attacks. The position requires proven experience in security nomenclature and an understanding of both high-level and low-level attack
As a Malware Researcher you will...
Research malicious code in public repositories from various coding languages and technologies.
Define and implement ways to automatically detect malicious code in open-source software.
Write technical reports and outward-facing publications regarding all research subjects mentioned above.

Key job responsibilities

We are looking for exceptional student engineer with a passion to learn how the Cloud is working "behind the curtain".

You will learn about new features of the server, develop automation to qualify them and implement the tests into a Continuous-Integration (CI) environment that run in lab and in the actual AWS Cloud.

In this highly technical position, the Python Software Engineer student will learn scripting abilities in python to write tests to constantly check the functionality of the Graviton servers' software.
Experience coding in python and testing embedded systems while being able to leverage AI capabilities are key to success.

*Make sure to include a grade sheet with your CV, in a single PDF*

We are looking for an experienced Windows Kernel Engineer to lead the design and development of a Windows filesystem minifilter from scratch and integrate it with our existing agent.
The ideal candidate has deep expertise in Windows kernel internals and proven experience building and debugging either:
Filesystem minifilters
Filesystem drivers

We're looking for an experienced Low Level Engineer to join our core team and help build the foundation of AI-powered, CVE-free container security platform.
Responsibilities:
Design and implement robust infrastructure for supporting secured assets, including our revolutionary CVE-free container images.
Build and maintain support systems for multiple Linux distributions, ensuring seamless integration with existing development workflows.
Work closely with our AI engineers, security researchers, and platform engineers to integrate low-level infrastructure with higher-level services.
Lead complex projects in close collaboration with Product Managers and other Software Engineers, from technical planning through execution and delivery.

Were looking for an C++ Automation Developer to join our team and take ownership of the automation infrastructure for complex backend systems. This role focuses on developing automated testing frameworks, ensuring system quality and stability, and integrating automation into modern CI/CD pipelines.

Responsibilities
Develop and maintain automated test frameworks for backend SDK-based systems.
Design, implement, and maintain automated tests in C++.
Develop and maintain automation infrastructure and testing environments.
Execute and enhance functional, regression, stress, stability, and negative (good & bad flow) testing.
Work in Linux environments using Docker and distributed systems.
Integrate automated tests into CI/CD pipelines.
Perform debugging and troubleshooting of backend systems.
Take end-to-end ownership of the teams automation testing infrastructure.

This role sits at the intersection of AI and high-performance systems engineering, focused on solving real-world problems under strict constraints. You will work on systems where performance and reliability are critical and where improvements have a direct, measurable impact on real-world safety.

This is a senior, systems-focused role with end-to-end ownership over performance and reliability of production computer vision pipelines. You will define optimization strategies, identify bottlenecks across the system, and drive improvements under real-world constraints.

What youll do
Build and optimize real-time computer vision pipelines running on edge systems processing live maritime video streams (e.g, NVIDIA Jetson, Triton Inference Server).
Take models from research and turn them into production-ready, reliable components deployed on vessels.
Profile and improve end-to-end system performance across: multi-camera video ingestion; preprocessing; inference; postprocessing
Identify and resolve bottlenecks across CPU, GPU, memory, and pipeline coordination.
Make and justify tradeoffs between latency, accuracy, stability, and resource utilization.
Design and implement robust data and inference pipelines (video -> model -> actionable output for crew).
Develop benchmarking and evaluation workflows to measure performance end-to-end and support release gating.
Build and improve observability tools, including logging, monitoring, and debugging workflows for production systems.
Define and maintain clear interfaces between research code and production systems.
Work closely with research and backend teams to integrate new models into production systems.
Continuously improve system efficiency and reliability under hardware and runtime constraints.

We are seeking an experienced and highly motivated Senior Software Engineer to join our innovative engineering team. As a Senior Engineer, you will play a key role in designing, building, and optimizing our DataOps platform. This is a hands-on role where youll be solving complex challenges and driving innovation in how data operations are managed. Youll collaborate with cross-functional teams, helping to bring new features to life while ensuring the performance and scalability of our platform. This is an incredible opportunity to make a meaningful impact on the future.

What You'll Do
Design & Develop: Design, develop, and maintain scalable and reliable code for DataOps platform, ensuring high performance, security, and scalability.

Lead Features: Take ownership in leading the development of core features and services from conception to completion, with minimal oversight.

Mentor & Lead: Mentor junior engineers, sharing knowledge and best practices, and provide technical leadership across projects.

Drive Improvement: Champion continuous improvement efforts to ensure our systems are adaptable to evolving business needs.

Troubleshoot & Optimize: Troubleshoot and resolve complex technical issues in both development and production environments.

Collaborate: Work effectively with cross-functional teams (Product, Design, etc.) to translate requirements into robust technical solutions.

We are seeking an experienced and highly motivated Senior Software Engineer to join our innovative engineering team. As a Senior Engineer, you will play a key role in designing, building, and optimizing our DataOps platform. This is a hands-on role where youll be solving complex challenges and driving innovation in how data operations are managed. Youll collaborate with cross-functional teams, helping to bring new features to life while ensuring the performance and scalability of our platform. This is an incredible opportunity to make a meaningful impact on the future.

What You'll Do
Design & Develop: Design, develop, and maintain scalable and reliable code for DataOps platform, ensuring high performance, security, and scalability.

Lead Features: Take ownership in leading the development of core features and services from conception to completion, with minimal oversight.

Mentor & Lead: Mentor junior engineers, sharing knowledge and best practices, and provide technical leadership across projects.

Drive Improvement: Champion continuous improvement efforts to ensure our systems are adaptable to evolving business needs.

Troubleshoot & Optimize: Troubleshoot and resolve complex technical issues in both development and production environments.

Collaborate: Work effectively with cross-functional teams (Product, Design, etc.) to translate requirements into robust technical solutions.

As a Performance Software Engineer, you will be instrumental in building the core computation software that runs on custom AI accelerators. Your work will bridge the gap between host systems and proprietary hardware, encompassing everything from a custom on-board kernels to the sophisticated tooling required for real-time debugging. You will be a key player in chip bring-up and the long-term development of high-performance computation primitives and kernels, ensuring our architecture operates with maximum efficiency and deterministic performance.

Responsibilities
Develop and optimize low-level software primitives in C/C++, assembly, and architecture-specific intrinsics, primarily for RISC-V and ARM platforms.

Implement performance-critical kernels, runtime components, hardware abstraction layers, drivers, and firmware operating in bare-metal or highly constrained environments.

Work closely with hardware architects and RTL/design teams to define and validate hardware-software interfaces, memory maps, register interfaces, interrupts, synchronization mechanisms, and boot flows.

Analyze and optimize software for latency, throughput, memory footprint, instruction count, and efficient use of processor and accelerator features.

Bring up and debug software on simulation, emulation, FPGA, and silicon platforms, including low-level hardware/software integration issues.

Develop validation tests, benchmarks, and diagnostic tools for new processor, DSP, accelerator, and SoC functionality.

Contribute to architecture decisions around ISA extensions, compiler intrinsics, memory hierarchy, DMA, cache/coherency behavior, and software-visible hardware features.

Required Staff Design Engineer, Networking, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
In this role, you will be part of a team developing application-specific integrated circuits (ASICs) used to accelerate networking in data centers. You will have multiple responsibilities in areas such as project definition, design, and implementation. You will participate in the design, architecture, documentation, and implementation of the next generation of data center accelerators.You will also be responsible for performance analysis for a networking stack using your knowledge.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Lead an ASIC subsystem.
Understand how it interacts with software and other ASIC subsystems to implement data center networks.
Define hardware/software interfaces. Write micro architecture and design specifications.
Define efficient micro-architecture and block partitioning/interfaces and flows.
Collaborate closely with software, verification, and physical design stakeholders to ensure the designs are complete, correct, and performant.