דרושים » תוכנה » Software Engineer

We are seeking a skilled Signal Processing Engineer to join our team. In this role, you will be responsible for developing and optimizing signal processing algorithms using C/C++ and CUDA. The ideal candidate has strong technical expertise in high-performance computing and real-time signal processing..
At our company, we're at the forefront of signal processing and AI innovation. Join us in contributing to enhancing various RF domain sensors, including radars, synthetic aperture radars, and signal intelligence sensors.
Key Responsibilities:
Design, develop, and optimize high-performance algorithms using CUDA on GPU architectures.
Implement and maintain software modules for real-time data processing and computation.
Debug, profile, and optimize CUDA code to maximize performance and efficiency.
Develop and implement signal processing algorithms using C/C++
Optimize computational performance using CUDA for GPU acceleration
Work with real-time data processing and high-performance computing environments
Collaborate with cross-functional teams to integrate signal processing solutions into larger systems.

We are seeking a skilled Signal Processing Engineer to join our team. In this role, you will be responsible for developing and optimizing signal processing algorithms using C/C++ and CUDA. The ideal candidate has strong technical expertise in high-performance computing and real-time signal processing..
At our company, we're at the forefront of signal processing and AI innovation. Join us in contributing to enhancing various RF domain sensors, including radars, synthetic aperture radars, and signal intelligence sensors.
Key Responsibilities:
Design, develop, and optimize high-performance algorithms using CUDA on GPU architectures.
Implement and maintain software modules for real-time data processing and computation.
Debug, profile, and optimize CUDA code to maximize performance and efficiency.
Develop and implement signal processing algorithms using C/C++
Optimize computational performance using CUDA for GPU acceleration
Work with real-time data processing and high-performance computing environments
Collaborate with cross-functional teams to integrate signal processing solutions into larger systems.

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

We are seeking a capable and experienced C++ Engineer to build high performance Linux software with strong modern C++. The Engineer will participate in developing an advanced multi-disciplinary system, which includes AI modules and interaction with HW interfaces and sensors. Responsibilities:
* Design and develop C++ services / libraries on Linux with focus on performance and reliability
* Improve build speed and reproducibility
* Profile / optimize CPU, memory, I/O, and concurrency; debug multithreaded issues
* Write unit/integration tests; use sanitizers / static analysis
* Contribute to CI pipelines and developer tooling

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

Appdome’s mission is to protect every mobile app in the world and the people who use mobile apps in their lives and at work.
Appdome provides mobile brands with the only patented, centralized, data-driven Mobile Cyber Defense Automation platform, delivering rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events™ threat-aware UI/UX control, ThreatScope™ Mobile XDR, and Certified Secure™ DevSecOps Certification in one integrated system.
With Appdome, mobile developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, test, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from inside mobile DevOps and CI/CD pipeline.
Leading financial, healthcare, m-commerce, consumer, and B2B brands use Appdome to upgrade mobile DevSecOps and protect Android & iOS apps, mobile customers, and mobile businesses globally. Today, Appdome's customers use their platform to secure over 50,000+ mobile apps with protection of over 1B mobile end users projected.
We are seeking a driven and results-oriented Account Executive to join our team. In this role, you will focus on acquiring new customers, building trusted relationships, and driving revenue growth by understanding prospects’ mobile business and security objectives and aligning them with our solutions.
The ideal candidate is a proactive communicator with strong interpersonal skills and a solid technical foundation. You excel at managing complex enterprise sales cycles and thrive in a dynamic environment that demands collaboration across teams and effective engagement with stakeholders via phone, email, and in-person interactions. About The Position We are looking for a talented Mobile Fraud Engine to join Appdome. In this role, you will develop sophisticated fraud detection and prevention components that operate at the core of our mobile threat intelligence platform — diving into signal processing, risk evaluation logic, and real-time decision-making, and translating your findings into robust, production-ready code. This position is ideal for developers who want to understand how fraud happens and use that knowledge to build innovative solutions that protect millions of mobile applications worldwide. Job Description
* Design, develop, and maintain core fraud detection and risk-scoring components within mobile apps.
* Investigate fraud patterns and mobile threat signals to develop innovative detection and prevention mechanisms.
* Own the collection of threat and device signals used by risk assessment algorithms to perform device and user behavioral profiling.
* Design systems that make split-second decisions, balancing security accuracy with user experience.
* Continuously explore emerging fraud trends and incorporate new detection techniques into our product.
* Collaborate with a multidisciplinary team of engineers, data scientists, and security experts to deliver end-to-end solutions.

we are seeking a skilled Senior C++ Software Engineer to join its expanding R&D team.

The company specializes in utilizing AI and big data to analyze electronic components during the assembly process to identify faulty and counterfeit components.

Responsibilities:

Develop and maintain high-performance C++ applications in a constantly evolving and dynamic environment.
Take ownership of key tools and processes, ensuring reliability, efficiency, and scalability.
Optimize applications for improved performance, memory management, and real-time processing.
Collaborate with cross-functional teams to integrate complex algorithms and logic seamlessly.
Work with cloud-based infrastructure and contribute to scalable microservices architecture.
Debug and resolve complex software issues to maintain high system reliability.

The DOCA team is seeking a highly motivated and experienced engineer with hands-on technical expertise to develop the SDK for the next-generation Data Processing Unit, with a wide range of features and embedded systems. This position offers the opportunity to have a real impact in a dynamic, technology-focused company, impacting data centers across the world. We're united in our quest to transform the way Smart Adapters are used.

What you'll be doing:

Collaborate with skilled engineers to design and implement the DOCA SDK and infrastructure.

Take charge of end-to-end development for various features within DOCA.

Design and develop SDK libraries focusing on networking, storage, and high-performance computing solutions.

Partner with major companies to address real-world challenges that demand innovative solutions and a customer-centric approach.

We are looking for a highly motivated R&D Software Engineer with strong algorithmic thinking, problem-solving skills, and hands-on software development experience. While experience in signal processing, communications, DSP, or RF is a strong advantage, it is not a requirement.

This role is ideal for engineers who enjoy tackling complex problems, designing practical solutions, and turning ideas into working systems. You will work in a multidisciplinary environment at the intersection of algorithms, software and hardware, with real impact on end products.


Design and implement algorithms and software solutions for complex problems
Develop high-quality, production-ready code in C++ and Python
Take ownership of features and components from concept through implementation and validation
Build prototypes, run experiments, and iterate quickly based on results
Participate in code reviews, architecture discussions, and technical decision-making
Document designs, trade-offs, and implementation details

We are looking for a Core Database Developer (Database Internals) to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization at the center of the revolution in artificial intelligence, which is creating a hurricane of change.
We are looking for a talented Software Engineer to design, build, and optimize the core engine of our high-performance database system. This is a deep, systems-level role focused on the internal workings of a database. You will be responsible for creating the fundamental components that store, retrieve, and process data efficiently.
Requirements
Key Responsibilities
Design & Develop Database Components: Implement and enhance core database features, including the storage engine, query execution engine, and transaction manager.
Optimize Performance: Work on low-level data structures (like B-Trees or LSM-Trees), concurrency control mechanisms (MVCC), and query optimization algorithms to improve speed and efficiency.
Build the Query Engine: Develop the system that parses, plans, and executes user queries against our data structures.
Ensure Reliability: Implement mechanisms for data recovery, consistency, and durability.